test_right_SGD_bs8_te1_mask_conv_bn_b_dr05.txt

nohup: ignoring input
total words/phones 112
sentence formulaire027-equation007 length bigger than 48 ignore
sentence formulaire026-equation008 length bigger than 48 ignore
image formulaire018-equation059 size bigger than 100000 ignore
image formulaire013-equation046 size bigger than 100000 ignore
image formulaire021-equation072 size bigger than 100000 ignore
image MfrDB3493 size bigger than 100000 ignore
sentence formulaire035-equation053 length bigger than 48 ignore
sentence 105_danilo length bigger than 48 ignore
sentence formulaire013-equation038 length bigger than 48 ignore
image formulaire029-equation062 size bigger than 100000 ignore
sentence formulaire009-equation046 length bigger than 48 ignore
image formulaire026-equation049 size bigger than 100000 ignore
sentence formulaire014-equation037 length bigger than 48 ignore
image formulaire008-equation034 size bigger than 100000 ignore
image KME2G3_25_sub_38 size bigger than 100000 ignore
sentence 105_fujita length bigger than 48 ignore
sentence formulaire031-equation031 length bigger than 48 ignore
image KME2G3_4_sub_38 size bigger than 100000 ignore
image KME2G3_30_sub_38 size bigger than 100000 ignore
sentence 105_alfonso length bigger than 48 ignore
sentence formulaire030-equation023 length bigger than 48 ignore
image KME2G3_21_sub_38 size bigger than 100000 ignore
image KME2G3_8_sub_38 size bigger than 100000 ignore
image formulaire018-equation033 size bigger than 100000 ignore
image KME2G3_10_sub_38 size bigger than 100000 ignore
sentence formulaire032-equation014 length bigger than 48 ignore
image formulaire023-equation031 size bigger than 100000 ignore
image formulaire023-equation069 size bigger than 100000 ignore
image KME2G3_5_sub_38 size bigger than 100000 ignore
sentence formulaire010-equation061 length bigger than 48 ignore
sentence formulaire025-equation003 length bigger than 48 ignore
sentence formulaire006-equation024 length bigger than 48 ignore
sentence formulaire009-equation014 length bigger than 48 ignore
image formulaire020-equation056 size bigger than 100000 ignore
sentence 105_edwin length bigger than 48 ignore
image formulaire008-equation011 size bigger than 100000 ignore
image 94_fujita size bigger than 100000 ignore
sentence 105_Frank length bigger than 48 ignore
sentence 105_leo length bigger than 48 ignore
image formulaire018-equation056 size bigger than 100000 ignore
image KME2G3_22_sub_38 size bigger than 100000 ignore
sentence 105_miguel length bigger than 48 ignore
sentence 105_leissi length bigger than 48 ignore
sentence formulaire012-equation044 length bigger than 48 ignore
sentence formulaire007-equation073 length bigger than 48 ignore
image KME2G3_15_sub_38 size bigger than 100000 ignore
sentence 105_caue length bigger than 48 ignore
sentence 105_hirata length bigger than 48 ignore
sentence 105_Fabricio length bigger than 48 ignore
image formulaire026-equation016 size bigger than 100000 ignore
image formulaire024-equation013 size bigger than 100000 ignore
sentence formulaire003-equation074 length bigger than 48 ignore
sentence formulaire005-equation062 length bigger than 48 ignore
sentence formulaire013-equation024 length bigger than 48 ignore
image KME2G3_26_sub_38 size bigger than 100000 ignore
image 94_alfonso size bigger than 100000 ignore
sentence formulaire018-equation034 length bigger than 48 ignore
image formulaire028-equation041 size bigger than 100000 ignore
image TrainData2_1_sub_13 size bigger than 100000 ignore
sentence 105_mijail length bigger than 48 ignore
image KME2G3_3_sub_38 size bigger than 100000 ignore
sentence formulaire009-equation068 length bigger than 48 ignore
sentence formulaire023-equation007 length bigger than 48 ignore
image 81_miguel size bigger than 100000 ignore
image KME2G3_0_sub_38 size bigger than 100000 ignore
sentence formulaire025-equation058 length bigger than 48 ignore
sentence formulaire020-equation014 length bigger than 48 ignore
image 124_leo size bigger than 100000 ignore
image TrainData2_8_sub_13 size bigger than 100000 ignore
sentence formulaire026-equation019 length bigger than 48 ignore
image formulaire011-equation029 size bigger than 100000 ignore
image 200924-1312-84 size bigger than 100000 ignore
sentence 105_lucelia length bigger than 48 ignore
image formulaire017-equation053 size bigger than 100000 ignore
sentence formulaire012-equation068 length bigger than 48 ignore
image 98_silas size bigger than 100000 ignore
image 124_maira size bigger than 100000 ignore
sentence 105_rosario length bigger than 48 ignore
image MfrDB3220 size bigger than 100000 ignore
image formulaire019-equation006 size bigger than 100000 ignore
image formulaire019-equation058 size bigger than 100000 ignore
image 92_alfonso size bigger than 100000 ignore
image KME2G3_6_sub_38 size bigger than 100000 ignore
image formulaire024-equation053 size bigger than 100000 ignore
sentence 105_carlos length bigger than 48 ignore
image MfrDB2383 size bigger than 100000 ignore
image formulaire014-equation067 size bigger than 100000 ignore
image KME2G3_28_sub_38 size bigger than 100000 ignore
image 94_carlos size bigger than 100000 ignore
image 94_bruno size bigger than 100000 ignore
sentence 105_herbert length bigger than 48 ignore
image TrainData2_16_sub_13 size bigger than 100000 ignore
image KME2G3_1_sub_38 size bigger than 100000 ignore
image TrainData2_23_sub_51 size bigger than 100000 ignore
sentence formulaire029-equation057 length bigger than 48 ignore
image formulaire013-equation027 size bigger than 100000 ignore
image formulaire008-equation071 size bigger than 100000 ignore
image formulaire017-equation001 size bigger than 100000 ignore
image formulaire033-equation059 size bigger than 100000 ignore
sentence 105_user0 length bigger than 48 ignore
image KME2G3_24_sub_38 size bigger than 100000 ignore
image 124_Fabricio size bigger than 100000 ignore
image formulaire018-equation016 size bigger than 100000 ignore
image 131_maira size bigger than 100000 ignore
image 124_caue size bigger than 100000 ignore
image formulaire024-equation006 size bigger than 100000 ignore
image 92_miguel size bigger than 100000 ignore
image formulaire033-equation052 size bigger than 100000 ignore
image 111_miguel size bigger than 100000 ignore
image 200922-1017-79 size bigger than 100000 ignore
sentence formulaire032-equation018 length bigger than 48 ignore
image formulaire022-equation042 size bigger than 100000 ignore
sentence formulaire009-equation067 length bigger than 48 ignore
image formulaire028-equation057 size bigger than 100000 ignore
image formulaire028-equation074 size bigger than 100000 ignore
image formulaire001-equation017 size bigger than 100000 ignore
sentence formulaire038-equation063 length bigger than 48 ignore
image MfrDB1508 size bigger than 100000 ignore
image TrainData2_24_sub_98 size bigger than 100000 ignore
image formulaire009-equation033 size bigger than 100000 ignore
image formulaire016-equation004 size bigger than 100000 ignore
image formulaire019-equation002 size bigger than 100000 ignore
image KME2G3_14_sub_38 size bigger than 100000 ignore
sentence formulaire010-equation032 length bigger than 48 ignore
image 111_hirata size bigger than 100000 ignore
sentence formulaire011-equation019 length bigger than 48 ignore
image 94_Fabricio size bigger than 100000 ignore
image 94_leo size bigger than 100000 ignore
image 131_edwin size bigger than 100000 ignore
image formulaire022-equation009 size bigger than 100000 ignore
image formulaire024-equation042 size bigger than 100000 ignore
image 2009220-1327-84 size bigger than 100000 ignore
image KME2G3_18_sub_38 size bigger than 100000 ignore
image formulaire026-equation022 size bigger than 100000 ignore
sentence formulaire007-equation001 length bigger than 48 ignore
image KME2G3_11_sub_38 size bigger than 100000 ignore
image 131_carlos size bigger than 100000 ignore
image 111_david size bigger than 100000 ignore
image 98_edwin size bigger than 100000 ignore
sentence 105_david length bigger than 48 ignore
image 111_Frank size bigger than 100000 ignore
image formulaire023-equation034 size bigger than 100000 ignore
sentence 93_Frank length bigger than 48 ignore
image formulaire027-equation037 size bigger than 100000 ignore
image 92_edwin size bigger than 100000 ignore
image 92_caue size bigger than 100000 ignore
sentence MfrDB3412 length bigger than 48 ignore
image 98_alfonso size bigger than 100000 ignore
image KME2G3_19_sub_38 size bigger than 100000 ignore
image 81_daniel size bigger than 100000 ignore
image formulaire025-equation032 size bigger than 100000 ignore
image TrainData2_23_sub_98 size bigger than 100000 ignore
image formulaire016-equation007 size bigger than 100000 ignore
image 124_miguel size bigger than 100000 ignore
image 94_Frank size bigger than 100000 ignore
image formulaire009-equation053 size bigger than 100000 ignore
image 98_jorge size bigger than 100000 ignore
image KME2G3_2_sub_38 size bigger than 100000 ignore
image formulaire019-equation059 size bigger than 100000 ignore
image formulaire014-equation024 size bigger than 100000 ignore
image 94_danilo size bigger than 100000 ignore
image formulaire011-equation034 size bigger than 100000 ignore
image 111_alfonso size bigger than 100000 ignore
image 111_jorge size bigger than 100000 ignore
image 98_fujita size bigger than 100000 ignore
image 200923-1556-84 size bigger than 100000 ignore
image formulaire013-equation043 size bigger than 100000 ignore
image TrainData2_26_sub_51 size bigger than 100000 ignore
image formulaire026-equation032 size bigger than 100000 ignore
image 92_jorge size bigger than 100000 ignore
image formulaire027-equation047 size bigger than 100000 ignore
image KME2G3_7_sub_38 size bigger than 100000 ignore
image formulaire002-equation007 size bigger than 100000 ignore
image MfrDB2941 size bigger than 100000 ignore
image 111_edwin size bigger than 100000 ignore
image 92_leissi size bigger than 100000 ignore
image 98_david size bigger than 100000 ignore
image formulaire011-equation027 size bigger than 100000 ignore
image TrainData2_6_sub_13 size bigger than 100000 ignore
image formulaire033-equation037 size bigger than 100000 ignore
sentence 105_Nina length bigger than 48 ignore
image formulaire011-equation018 size bigger than 100000 ignore
image formulaire020-equation069 size bigger than 100000 ignore
image 81_Fabricio size bigger than 100000 ignore
image TrainData2_25_sub_98 size bigger than 100000 ignore
sentence formulaire018-equation042 length bigger than 48 ignore
image formulaire016-equation052 size bigger than 100000 ignore
image formulaire024-equation050 size bigger than 100000 ignore
image TrainData2_8_sub_51 size bigger than 100000 ignore
image formulaire008-equation021 size bigger than 100000 ignore
image formulaire028-equation032 size bigger than 100000 ignore
image 200923-1253-9 size bigger than 100000 ignore
image 92_carlos size bigger than 100000 ignore
sentence formulaire022-equation011 length bigger than 48 ignore
image formulaire023-equation024 size bigger than 100000 ignore
image formulaire017-equation041 size bigger than 100000 ignore
image 131_mijail size bigger than 100000 ignore
image 124_jorge size bigger than 100000 ignore
image 98_daniel size bigger than 100000 ignore
image TrainData2_19_sub_13 size bigger than 100000 ignore
image MfrDB1511 size bigger than 100000 ignore
sentence formulaire030-equation003 length bigger than 48 ignore
image 80_alfonso size bigger than 100000 ignore
image 92_david size bigger than 100000 ignore
image 81_Frank size bigger than 100000 ignore
image formulaire013-equation071 size bigger than 100000 ignore
image 94_edwin size bigger than 100000 ignore
sentence MfrDB3539 length bigger than 48 ignore
image 131_alfonso size bigger than 100000 ignore
image formulaire021-equation066 size bigger than 100000 ignore
image TrainData2_14_sub_13 size bigger than 100000 ignore
image formulaire022-equation046 size bigger than 100000 ignore
image TrainData2_1_sub_51 size bigger than 100000 ignore
image 98_carlos size bigger than 100000 ignore
image TrainData2_25_sub_13 size bigger than 100000 ignore
image 200926-1617-79 size bigger than 100000 ignore
image 124_alfonso size bigger than 100000 ignore
image 92_herbert size bigger than 100000 ignore
image formulaire027-equation002 size bigger than 100000 ignore
image formulaire032-equation016 size bigger than 100000 ignore
image TrainData2_25_sub_51 size bigger than 100000 ignore
image TrainData2_3_sub_51 size bigger than 100000 ignore
image 131_Fabricio size bigger than 100000 ignore
sentence 126_herbert length bigger than 48 ignore
image TrainData2_9_sub_41 size bigger than 100000 ignore
sentence formulaire017-equation027 length bigger than 48 ignore
image formulaire001-equation036 size bigger than 100000 ignore
image formulaire012-equation036 size bigger than 100000 ignore
image formulaire011-equation011 size bigger than 100000 ignore
image 131_miguel size bigger than 100000 ignore
image TrainData2_16_sub_71 size bigger than 100000 ignore
image formulaire002-equation054 size bigger than 100000 ignore
image 81_hirata size bigger than 100000 ignore
image MfrDB3447 size bigger than 100000 ignore
image formulaire013-equation016 size bigger than 100000 ignore
sentence MfrDB0102 length bigger than 48 ignore
image 111_carlos size bigger than 100000 ignore
image 110_fujita size bigger than 100000 ignore
image formulaire019-equation001 size bigger than 100000 ignore
image 111_leo size bigger than 100000 ignore
image formulaire015-equation004 size bigger than 100000 ignore
image 200923-1253-84 size bigger than 100000 ignore
sentence formulaire019-equation013 length bigger than 48 ignore
image 98_Fabricio size bigger than 100000 ignore
sentence formulaire007-equation019 length bigger than 48 ignore
image formulaire013-equation031 size bigger than 100000 ignore
image formulaire006-equation044 size bigger than 100000 ignore
image formulaire014-equation001 size bigger than 100000 ignore
image formulaire030-equation027 size bigger than 100000 ignore
sentence 93_herbert length bigger than 48 ignore
image 124_leissi size bigger than 100000 ignore
image 124_david size bigger than 100000 ignore
image 92_lucelia size bigger than 100000 ignore
image 92_Frank size bigger than 100000 ignore
image formulaire030-equation017 size bigger than 100000 ignore
image 81_david size bigger than 100000 ignore
image MfrDB1501 size bigger than 100000 ignore
image 111_miguel2 size bigger than 100000 ignore
image TrainData2_3_sub_13 size bigger than 100000 ignore
image 2009212-952-84 size bigger than 100000 ignore
image formulaire009-equation039 size bigger than 100000 ignore
image formulaire025-equation050 size bigger than 100000 ignore
image KME2G3_20_sub_38 size bigger than 100000 ignore
image formulaire009-equation044 size bigger than 100000 ignore
image 111_Fabricio size bigger than 100000 ignore
image KME2G3_13_sub_38 size bigger than 100000 ignore
image 98_maira size bigger than 100000 ignore
image 200926-1617-78 size bigger than 100000 ignore
image 92_Nina size bigger than 100000 ignore
image 98_Frank size bigger than 100000 ignore
image formulaire037-equation046 size bigger than 100000 ignore
image 131_david size bigger than 100000 ignore
image 200924-1312-78 size bigger than 100000 ignore
image TrainData2_3_sub_98 size bigger than 100000 ignore
image formulaire009-equation063 size bigger than 100000 ignore
image 98_miguel size bigger than 100000 ignore
image 81_edwin size bigger than 100000 ignore
image TrainData2_19_sub_51 size bigger than 100000 ignore
image formulaire004-equation041 size bigger than 100000 ignore
image formulaire011-equation049 size bigger than 100000 ignore
image MfrDB2450 size bigger than 100000 ignore
image MfrDB0023 size bigger than 100000 ignore
image TrainData2_1_sub_98 size bigger than 100000 ignore
image TrainData2_4_sub_51 size bigger than 100000 ignore
image TrainData2_9_sub_98 size bigger than 100000 ignore
image formulaire011-equation024 size bigger than 100000 ignore
image TrainData2_23_sub_41 size bigger than 100000 ignore
image 131_jorge size bigger than 100000 ignore
image TrainData2_26_sub_13 size bigger than 100000 ignore
image 200923-1556-78 size bigger than 100000 ignore
sentence 93_miguel length bigger than 48 ignore
sentence 126_fujita length bigger than 48 ignore
image 124_Frank size bigger than 100000 ignore
image TrainData2_24_sub_51 size bigger than 100000 ignore
image 131_Frank size bigger than 100000 ignore
image 200926-1550-79 size bigger than 100000 ignore
image formulaire017-equation069 size bigger than 100000 ignore
image formulaire025-equation022 size bigger than 100000 ignore
image formulaire030-equation014 size bigger than 100000 ignore
image formulaire025-equation000 size bigger than 100000 ignore
image TrainData2_16_sub_51 size bigger than 100000 ignore
image formulaire035-equation047 size bigger than 100000 ignore
image formulaire014-equation023 size bigger than 100000 ignore
image 98_caue size bigger than 100000 ignore
image 92_leo size bigger than 100000 ignore
image formulaire025-equation010 size bigger than 100000 ignore
image TrainData2_2_sub_29 size bigger than 100000 ignore
image 200926-131-79 size bigger than 100000 ignore
image KME2G3_23_sub_38 size bigger than 100000 ignore
image 2009213-137-84 size bigger than 100000 ignore
image formulaire009-equation042 size bigger than 100000 ignore
image 131_user0 size bigger than 100000 ignore
image 111_caue size bigger than 100000 ignore
image formulaire022-equation029 size bigger than 100000 ignore
image 91_Fabricio size bigger than 100000 ignore
image 116_miguel size bigger than 100000 ignore
image formulaire014-equation057 size bigger than 100000 ignore
image 70_carlos size bigger than 100000 ignore
image TrainData2_23_sub_13 size bigger than 100000 ignore
image TrainData2_14_sub_98 size bigger than 100000 ignore
image KME2G3_29_sub_38 size bigger than 100000 ignore
image 124_edwin size bigger than 100000 ignore
image 129_leo size bigger than 100000 ignore
image TrainData2_5_sub_51 size bigger than 100000 ignore
image 80_Frank size bigger than 100000 ignore
image 81_mijail size bigger than 100000 ignore
image formulaire023-equation001 size bigger than 100000 ignore
image 111_leissi size bigger than 100000 ignore
image KME2G3_17_sub_38 size bigger than 100000 ignore
sentence 93_alfonso length bigger than 48 ignore
image formulaire025-equation065 size bigger than 100000 ignore
image 200924-1312-18 size bigger than 100000 ignore
image 129_edwin size bigger than 100000 ignore
image formulaire032-equation063 size bigger than 100000 ignore
image 110_edwin size bigger than 100000 ignore
sentence formulaire007-equation046 length bigger than 48 ignore
image formulaire018-equation054 size bigger than 100000 ignore
sentence formulaire023-equation068 length bigger than 48 ignore
image TrainData2_23_sub_29 size bigger than 100000 ignore
image 124_carlos size bigger than 100000 ignore
image TrainData2_13_sub_98 size bigger than 100000 ignore
image formulaire018-equation031 size bigger than 100000 ignore
image TrainData2_5_sub_98 size bigger than 100000 ignore
image TrainData2_0_sub_13 size bigger than 100000 ignore
image 81_alfonso size bigger than 100000 ignore
image TrainData2_14_sub_51 size bigger than 100000 ignore
sentence formulaire034-equation056 length bigger than 48 ignore
image formulaire008-equation037 size bigger than 100000 ignore
image formulaire004-equation014 size bigger than 100000 ignore
image KME2G3_16_sub_38 size bigger than 100000 ignore
image 2009213-139-130 size bigger than 100000 ignore
image formulaire023-equation063 size bigger than 100000 ignore
image 124_Nina size bigger than 100000 ignore
image 2009213-137-78 size bigger than 100000 ignore
image formulaire024-equation031 size bigger than 100000 ignore
image 131_leissi size bigger than 100000 ignore
sentence 126_carlos length bigger than 48 ignore
image 200922-947-84 size bigger than 100000 ignore
image formulaire008-equation068 size bigger than 100000 ignore
image formulaire033-equation001 size bigger than 100000 ignore
image 80_edwin size bigger than 100000 ignore
image MfrDB3542 size bigger than 100000 ignore
sentence formulaire011-equation002 length bigger than 48 ignore
image formulaire025-equation033 size bigger than 100000 ignore
image 2009212-952-79 size bigger than 100000 ignore
image 131_caue size bigger than 100000 ignore
image 200926-1550-84 size bigger than 100000 ignore
image 2009213-139-78 size bigger than 100000 ignore
image 92_user0 size bigger than 100000 ignore
image 94_miguel size bigger than 100000 ignore
image TrainData2_9_sub_43 size bigger than 100000 ignore
image formulaire010-equation003 size bigger than 100000 ignore
image 98_leo size bigger than 100000 ignore
image 124_user0 size bigger than 100000 ignore
image 129_alfonso size bigger than 100000 ignore
image MfrDB3873 size bigger than 100000 ignore
image formulaire019-equation039 size bigger than 100000 ignore
image formulaire021-equation004 size bigger than 100000 ignore
sentence 93_Fabricio length bigger than 48 ignore
sentence MfrDB1490 length bigger than 48 ignore
sentence MfrDB3204 length bigger than 48 ignore
sentence 93_edwin length bigger than 48 ignore
sentence 126_danilo length bigger than 48 ignore
sentence MfrDB1819 length bigger than 48 ignore
sentence formulaire012-equation009 length bigger than 48 ignore
sentence formulaire020-equation041 length bigger than 48 ignore
sentence formulaire004-equation069 length bigger than 48 ignore
sentence 126_Fabricio length bigger than 48 ignore
sentence formulaire004-equation036 length bigger than 48 ignore
sentence 126_alfonso length bigger than 48 ignore
sentence MfrDB0032 length bigger than 48 ignore
sentence 93_carlos length bigger than 48 ignore
sentence 126_user0 length bigger than 48 ignore
sentence 93_leissi length bigger than 48 ignore
sentence formulaire022-equation022 length bigger than 48 ignore
sentence 126_miguel length bigger than 48 ignore
sentence formulaire012-equation042 length bigger than 48 ignore
sentence MfrDB1517 length bigger than 48 ignore
sentence 93_caue length bigger than 48 ignore
sentence formulaire021-equation071 length bigger than 48 ignore
sentence MfrDB3006 length bigger than 48 ignore
sentence formulaire009-equation057 length bigger than 48 ignore
sentence 93_daniel length bigger than 48 ignore
sentence formulaire002-equation074 length bigger than 48 ignore
sentence 126_caue length bigger than 48 ignore
sentence MfrDB2991 length bigger than 48 ignore
sentence 126_david length bigger than 48 ignore
sentence MfrDB3117 length bigger than 48 ignore
sentence MfrDB1283 length bigger than 48 ignore
sentence formulaire003-equation053 length bigger than 48 ignore
sentence 93_user0 length bigger than 48 ignore
sentence formulaire012-equation034 length bigger than 48 ignore
sentence 93_david length bigger than 48 ignore
sentence MfrDB0079 length bigger than 48 ignore
sentence MfrDB3572 length bigger than 48 ignore
sentence MfrDB3005 length bigger than 48 ignore
sentence 93_Nina length bigger than 48 ignore
sentence MfrDB2139 length bigger than 48 ignore
sentence 126_leissi length bigger than 48 ignore
sentence formulaire036-equation020 length bigger than 48 ignore
sentence 126_leo length bigger than 48 ignore
sentence MfrDB3278 length bigger than 48 ignore
sentence 126_Nina length bigger than 48 ignore
sentence 126_Frank length bigger than 48 ignore
sentence MfrDB3251 length bigger than 48 ignore
sentence MfrDB3158 length bigger than 48 ignore
sentence 93_rosario length bigger than 48 ignore
sentence 93_leo length bigger than 48 ignore
sentence MfrDB0012 length bigger than 48 ignore
sentence 126_edwin length bigger than 48 ignore
sentence MfrDB3276 length bigger than 48 ignore
sentence 126_jorge length bigger than 48 ignore
sentence MfrDB3033 length bigger than 48 ignore
sentence MfrDB3016 length bigger than 48 ignore
sentence 126_rosario length bigger than 48 ignore
sentence MfrDB2027 length bigger than 48 ignore
sentence MfrDB3171 length bigger than 48 ignore
sentence MfrDB1591 length bigger than 48 ignore
sentence MfrDB3172 length bigger than 48 ignore
sentence MfrDB1724 length bigger than 48 ignore
sentence formulaire007-equation006 length bigger than 48 ignore
sentence MfrDB0034 length bigger than 48 ignore
sentence MfrDB2968 length bigger than 48 ignore
sentence MfrDB2948 length bigger than 48 ignore
sentence MfrDB1921 length bigger than 48 ignore
sentence MfrDB0109 length bigger than 48 ignore
sentence MfrDB1968 length bigger than 48 ignore
sentence formulaire038-equation058 length bigger than 48 ignore
sentence TrainData1_5_sub_28 length bigger than 48 ignore
sentence TrainData1_7_sub_28 length bigger than 48 ignore
sentence MfrDB3519 length bigger than 48 ignore
sentence TrainData1_6_sub_28 length bigger than 48 ignore
sentence MfrDB2432 length bigger than 48 ignore
sentence MfrDB3393 length bigger than 48 ignore
sentence MfrDB3455 length bigger than 48 ignore
sentence MfrDB3044 length bigger than 48 ignore
sentence MfrDB2860 length bigger than 48 ignore
sentence MfrDB1310 length bigger than 48 ignore
sentence MfrDB3140 length bigger than 48 ignore
sentence MfrDB2822 length bigger than 48 ignore
sentence TrainData1_4_sub_28 length bigger than 48 ignore
sentence TrainData1_0_sub_28 length bigger than 48 ignore
sentence MfrDB3300 length bigger than 48 ignore
sentence MfrDB3103 length bigger than 48 ignore
sentence MfrDB3272 length bigger than 48 ignore
sentence MfrDB2177 length bigger than 48 ignore
sentence MfrDB3170 length bigger than 48 ignore
sentence TrainData1_2_sub_28 length bigger than 48 ignore
sentence MfrDB3160 length bigger than 48 ignore
sentence TrainData1_8_sub_28 length bigger than 48 ignore
sentence MfrDB0008 length bigger than 48 ignore
sentence TrainData1_3_sub_28 length bigger than 48 ignore
sentence TrainData1_1_sub_28 length bigger than 48 ignore
sentence MfrDB1995 length bigger than 48 ignore
sentence MfrDB2859 length bigger than 48 ignore
sentence MfrDB3284 length bigger than 48 ignore
total  8359 batch data loaded
sentence 505_em_51 length bigger than 48 ignore
image 504_em_35 size bigger than 100000 ignore
sentence 20_em_37 length bigger than 48 ignore
image 501_em_14 size bigger than 100000 ignore
image 514_em_325 size bigger than 100000 ignore
sentence RIT_2014_168 length bigger than 48 ignore
sentence 501_em_18 length bigger than 48 ignore
image 514_em_329 size bigger than 100000 ignore
image 504_em_43 size bigger than 100000 ignore
image 29_em_173 size bigger than 100000 ignore
sentence 514_em_338 length bigger than 48 ignore
image 31_em_188 size bigger than 100000 ignore
image 504_em_42 size bigger than 100000 ignore
image 514_em_343 size bigger than 100000 ignore
image 514_em_334 size bigger than 100000 ignore
sentence RIT_2014_214 length bigger than 48 ignore
sentence 501_em_19 length bigger than 48 ignore
sentence RIT_2014_222 length bigger than 48 ignore
sentence 502_em_14 length bigger than 48 ignore
image 515_em_355 size bigger than 100000 ignore
sentence 502_em_16 length bigger than 48 ignore
image RIT_2014_185 size bigger than 100000 ignore
image 514_em_348 size bigger than 100000 ignore
image 504_em_38 size bigger than 100000 ignore
sentence RIT_2014_210 length bigger than 48 ignore
image 31_em_196 size bigger than 100000 ignore
sentence 501_em_15 length bigger than 48 ignore
image 511_em_262 size bigger than 100000 ignore
image 31_em_195 size bigger than 100000 ignore
image RIT_2014_312 size bigger than 100000 ignore
image RIT_2014_79 size bigger than 100000 ignore
image RIT_2014_224 size bigger than 100000 ignore
image 31_em_180 size bigger than 100000 ignore
image 28_em_128 size bigger than 100000 ignore
image 502_em_17 size bigger than 100000 ignore
image 20_em_33 size bigger than 100000 ignore
sentence 501_em_12 length bigger than 48 ignore
sentence 18_em_2 length bigger than 48 ignore
image 23_em_59 size bigger than 100000 ignore
image 502_em_1 size bigger than 100000 ignore
image RIT_2014_190 size bigger than 100000 ignore
image 514_em_347 size bigger than 100000 ignore
image 31_em_190 size bigger than 100000 ignore
sentence 513_em_303 length bigger than 48 ignore
image 26_em_77 size bigger than 100000 ignore
image RIT_2014_223 size bigger than 100000 ignore
image 20_em_25 size bigger than 100000 ignore
image 511_em_259 size bigger than 100000 ignore
sentence 35_em_16 length bigger than 48 ignore
image 502_em_4 size bigger than 100000 ignore
sentence 20_em_27 length bigger than 48 ignore
sentence 501_em_9 length bigger than 48 ignore
sentence 516_em_397 length bigger than 48 ignore
sentence RIT_2014_38 length bigger than 48 ignore
sentence RIT_2014_290 length bigger than 48 ignore
sentence 502_em_11 length bigger than 48 ignore
sentence 501_em_11 length bigger than 48 ignore
sentence 34_em_247 length bigger than 48 ignore
sentence 519_em_448 length bigger than 48 ignore
sentence 37_em_4 length bigger than 48 ignore
sentence RIT_2014_69 length bigger than 48 ignore
total  925 batch data loaded
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 94.272852
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 72.903848
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 62.028363
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 55.870710
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 52.755777
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 49.648026
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 49.715816
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 49.844525
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 49.282217
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 46.364009
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 46.000471
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 48.848571
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 46.671044
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 46.881171
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 41.992573
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 41.958064
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 41.858046
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 46.835269
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 40.838558
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 43.337544
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 42.452406
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 40.510882
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 45.109590
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 39.793772
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 45.265565
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 39.275517
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 44.113073
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 39.850504
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 44.907523
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 43.363472
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 39.306817
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 46.872885
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 42.014763
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 43.740923
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 42.091311
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 41.904800
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 39.324415
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 42.361787
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 40.561969
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 39.675707
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 42.426339
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 39.364197
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 43.476623
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 39.612268
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 37.473506
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 38.850376
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 41.187983
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 38.374202
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 36.963388
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 36.574105
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 37.025221
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 40.485753
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 43.094976
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 40.847876
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 41.720154
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 38.896012
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 40.469022
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 36.257413
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 42.799410
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 37.557829
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 40.610834
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 39.486912
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 39.392273
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 40.908017
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 41.624841
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 36.868041
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 39.353747
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 38.319424
epoch is 0, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 38.161650
epoch is 0, the whole loss is 43.334191
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 0
wer is 0.82797
sacc is 0.00000 
whole loss is 74.98350
the best is 0.000000
the loss is bigger than before,so do not save the model
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 33.931131
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 39.047530
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 39.283163
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 36.774328
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 43.906183
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 35.983887
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 36.951742
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 40.595962
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 38.183048
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 33.467163
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 37.557009
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 34.354843
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 37.848895
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 36.249021
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 38.284898
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 38.230630
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 37.338160
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 37.288638
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 37.467338
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 34.883344
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 37.650163
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 34.662222
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 40.768659
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 32.621317
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 34.740685
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 39.367597
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 33.394023
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 40.855480
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 39.104895
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 35.486958
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 39.472935
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 38.390855
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 37.741511
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 36.366104
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 36.478794
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 39.577907
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 34.343429
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 38.978932
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 35.502963
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 36.096354
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 33.737060
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 38.605314
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 32.437436
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 34.710558
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 35.591558
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 34.888028
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 34.865798
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 38.664965
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 32.408431
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 33.741888
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 33.940821
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 32.669832
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 39.019419
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 39.837679
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 34.390711
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 35.112341
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 34.866967
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 34.044962
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 35.526494
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 34.732912
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 38.589109
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 36.871388
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 35.750606
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 36.301612
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 34.643878
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 32.452485
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 32.482392
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 34.965817
epoch is 1, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 32.815084
epoch is 1, the whole loss is 36.002788
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 0
wer is 0.80206
sacc is 0.00000 
whole loss is 79.70312
the best is 0.000000
the loss is bigger than before,so do not save the model
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 32.792791
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 32.894270
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 35.790554
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 33.028695
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 36.422155
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 33.675812
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 34.576261
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 33.796034
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 32.182410
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 32.997335
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 31.530501
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 33.188401
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 35.450092
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 33.822773
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 34.588460
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 32.247438
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 33.393230
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 36.307409
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 36.560360
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 32.532214
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 32.004572
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 30.583499
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 34.521875
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 39.663769
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 30.581041
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 34.634346
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 33.295883
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 34.410816
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 34.159971
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 31.421221
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 34.314667
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 31.763820
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 36.074711
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 33.777829
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 33.594640
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 34.490428
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 31.819259
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 34.252000
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 32.008700
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 35.148449
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 33.035033
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 32.932992
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 30.083126
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 33.399438
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 34.371518
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 34.986510
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 33.539749
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 33.444898
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 28.950859
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 28.477338
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 34.917094
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 28.722010
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 35.251842
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 32.262703
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 34.386585
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 29.895397
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 33.992398
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 30.987375
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 32.303075
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 34.628816
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 29.126272
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 31.821765
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 32.687413
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 29.864026
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 33.795189
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 28.656878
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 32.547705
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 32.244360
epoch is 2, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 29.621094
epoch is 2, the whole loss is 32.748876
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 0
wer is 0.68905
sacc is 0.00000 
whole loss is 89.13873
the best is 0.000000
the loss is bigger than before,so do not save the model
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 33.006044
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 32.275020
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 28.672966
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 33.929866
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 30.130195
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 31.995937
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 33.165527
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 32.225856
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 30.885135
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 29.886549
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 31.606804
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 26.584261
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 33.211325
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 31.157267
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 28.876015
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 29.573220
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 31.709067
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 31.408035
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 30.940868
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 32.527587
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 32.518816
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 33.449411
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 30.071130
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 28.999217
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 29.254318
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 31.927200
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 26.026122
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 31.463657
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 26.055611
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 29.292934
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 29.408099
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 34.004321
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 28.509930
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 30.845926
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 32.021535
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 29.667508
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 28.369757
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 24.992217
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 29.083347
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 29.332313
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 30.028126
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 34.666920
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 29.294282
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 26.861630
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 29.618643
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 28.292665
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 31.492010
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 32.766429
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 28.757606
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 27.177479
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 28.765769
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 30.489873
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 28.837835
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 27.954912
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 29.858614
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 29.214821
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 30.126343
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 33.037262
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 29.818621
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 27.129715
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 26.876817
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 27.940291
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 29.776005
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 29.373310
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 26.976939
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 29.979664
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 27.684664
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 30.055889
epoch is 3, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 26.362830
epoch is 3, the whole loss is 29.691736
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 0
wer is 0.64679
sacc is 0.00000 
whole loss is 83.60586
the best is 0.000000
the loss is bigger than before,so do not save the model
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 28.862699
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 27.503772
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 24.131883
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 28.112382
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 29.418198
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 25.052165
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 27.539011
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 28.255214
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 29.797613
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 27.281187
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 26.154796
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 29.180639
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 29.257631
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 29.889895
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 25.321339
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 25.248645
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 29.528347
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 25.762612
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 30.294956
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 27.597387
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 29.466080
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 25.703267
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 28.081788
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 27.272809
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 28.149242
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 27.002034
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 29.249007
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 27.184658
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 28.755800
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 24.826210
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 26.619130
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 22.918733
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 28.582938
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 24.117685
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 27.341056
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 26.619695
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 28.530365
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 32.366921
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 26.430043
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 25.388593
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 30.773024
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 27.267098
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 25.989315
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 25.362116
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 26.342534
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 28.341868
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 26.856182
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 26.560458
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 24.883180
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 25.524033
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 26.178530
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 26.638394
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 22.896995
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 25.388549
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 26.394000
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 26.545057
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 25.300506
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 27.707663
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 29.703289
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 26.354861
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 23.684974
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 26.640814
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 24.160332
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 23.889942
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 23.222465
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 25.004185
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 24.010612
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 24.761588
epoch is 4, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 24.427606
epoch is 4, the whole loss is 26.552553
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 1
wer is 0.67069
sacc is 0.00108 
whole loss is 94.01337
0.0010822510822510823
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 23.963630
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 22.961197
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 21.675477
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 25.289104
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 24.622744
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 23.811912
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 26.123552
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 24.077193
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 27.126547
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 24.024099
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 24.250251
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 24.195122
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 22.972845
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 26.840930
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 21.701464
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 22.470704
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 21.963407
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 26.489385
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 23.970322
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 25.306098
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 25.249898
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 25.344074
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 22.934012
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 25.888740
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 24.809041
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 27.313564
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 22.771364
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 20.653946
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 21.260760
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 20.573495
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 19.642521
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 21.931355
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 24.641400
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 22.133479
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 21.328472
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 25.689612
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 20.688384
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 20.835264
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 24.135740
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 22.706463
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 22.612509
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 21.438694
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 24.539805
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 24.119988
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 22.637253
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 18.379544
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 21.594498
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 24.592379
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 21.393484
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 22.354119
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 20.250995
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 25.886075
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 22.102008
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 25.709498
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 20.731885
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 20.872029
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 23.290740
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 21.058389
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 22.293824
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 22.234264
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 23.665702
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 20.587497
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 20.223442
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 22.246699
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 22.229769
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 22.806687
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 20.149314
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 21.158106
epoch is 5, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 20.905892
epoch is 5, the whole loss is 22.774485
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 6
wer is 0.67498
sacc is 0.00649 
whole loss is 96.00370
0.006493506493506494
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 22.370429
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 21.672435
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 22.079095
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 14.686063
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 18.665861
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 18.969886
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 17.688179
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 18.496310
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 18.538560
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 21.440929
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 19.098388
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 23.455234
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 23.193664
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 18.378955
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 21.596461
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 21.408943
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 19.779163
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 20.057950
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 18.318866
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 17.462789
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 17.843927
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 18.429261
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 17.998014
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 17.240454
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 17.659949
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 17.150455
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 17.287266
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 17.536679
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 19.662364
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 19.127670
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 21.520720
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 16.335368
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 18.574975
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 15.067155
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 17.863700
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 19.644736
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 16.923234
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 19.074331
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 21.743094
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 18.212245
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 17.662470
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 20.104319
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 20.661078
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 16.316078
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 19.998662
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 18.019175
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 19.016731
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 19.704240
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 17.995102
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 18.324599
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 24.215524
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 16.438023
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 19.271414
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 15.009140
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 17.697004
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 19.155481
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 20.549449
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 17.028973
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 16.731931
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 16.630748
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 13.926601
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 13.828997
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 16.206452
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 15.558065
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 18.193184
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 14.626658
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 15.942153
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 19.207175
epoch is 6, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 15.555237
epoch is 6, the whole loss is 18.315518
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 21
wer is 0.59274
sacc is 0.02273 
whole loss is 94.78909
0.022727272727272728
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 16.031030
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 14.651569
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 15.024710
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 18.399754
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 18.500849
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 14.756607
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 15.146702
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 11.850978
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 14.142194
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 16.601167
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 14.825391
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 13.532661
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 15.186836
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 16.515662
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 13.041171
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 14.934212
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 16.075041
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 15.792956
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 13.926451
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 13.762109
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 16.209871
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 14.587479
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 18.308752
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 16.186601
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 14.429775
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 18.026841
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 13.497958
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 15.223844
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 16.480074
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 12.095809
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 14.866520
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 17.895120
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 13.361083
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 13.887521
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 15.449874
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 13.941606
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 15.972781
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 13.282940
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 15.618569
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 13.157328
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 13.431658
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 12.526580
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 12.597331
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 12.646817
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 12.325668
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 12.356428
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 13.587423
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 16.196685
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 13.368101
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 13.087714
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 15.164927
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 13.817156
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 12.039343
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 12.866738
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 14.014964
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 12.492924
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 15.756589
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 14.589717
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 14.602067
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 14.422258
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 12.084464
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 13.657585
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 16.540577
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 15.176161
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 11.363652
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 13.171172
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 12.276913
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 16.098350
epoch is 7, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 11.382563
epoch is 7, the whole loss is 14.338858
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 32
wer is 0.46648
sacc is 0.03463 
whole loss is 90.03028
0.03463203463203463
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 12.928999
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 13.237672
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 12.704368
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 9.984427
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 12.660230
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 9.675304
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 13.620789
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 10.653837
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 13.273367
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 11.661855
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 13.201363
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 12.661840
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 13.079830
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 13.594715
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 9.399879
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 10.963507
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 12.177222
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 11.164788
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 10.672995
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 11.360147
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 10.741101
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 12.589877
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 10.616255
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 12.953555
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 9.593700
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 8.408790
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 9.544505
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 9.785941
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 10.743647
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 12.592128
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 10.994030
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 10.137086
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 10.117748
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 11.826517
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 8.879491
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 10.366331
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 9.144945
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 10.615269
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 11.021736
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 11.370795
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 10.254521
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 11.668901
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 12.519280
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 10.941111
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 9.338872
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 13.078392
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 12.013080
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 9.899142
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 12.765161
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 14.787702
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 12.082156
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 10.206422
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 10.529822
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 14.571446
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 12.373504
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 12.744196
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 13.266563
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 13.296384
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 9.999151
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 11.694900
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 10.256873
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 10.434778
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 12.382002
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 10.796721
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 8.214690
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 9.974047
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 10.315768
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 12.546841
epoch is 8, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 9.932976
epoch is 8, the whole loss is 11.249278
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 24
wer is 0.66811
sacc is 0.02597 
whole loss is 108.71911
the best is 0.034632
the loss is bigger than before,so do not save the model
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 8.373488
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 11.480679
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 8.735980
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 8.250907
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 7.810900
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 10.006595
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 9.081816
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 8.420726
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 8.931076
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 13.011733
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 7.231254
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 11.285684
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 10.993575
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 9.955306
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 8.220462
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 7.326677
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 8.210184
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 9.966150
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 9.108182
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 14.166300
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 9.895903
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 7.812225
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 9.453910
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 9.983912
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 10.542176
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 8.946393
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 10.214030
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 7.749509
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 8.436347
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 8.718955
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 8.163309
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 10.712925
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 9.338471
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 6.816597
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 11.078069
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 8.814573
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 8.634741
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 8.021271
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 8.640911
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 9.178572
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 6.766136
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 8.284092
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 7.458896
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 7.891100
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 9.310322
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 11.005850
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 9.092811
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 9.322019
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 8.037697
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 7.072756
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 9.210479
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 13.568281
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 8.537934
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 9.282736
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 8.091197
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 7.401876
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 7.821094
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 11.401749
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 6.947918
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 8.896412
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 8.584597
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 8.418726
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 7.996508
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 7.406834
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 7.528468
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 8.386638
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 9.525699
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 7.275231
epoch is 9, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 7.490218
epoch is 9, the whole loss is 8.896778
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 67
wer is 0.48577
sacc is 0.07251 
whole loss is 99.93624
0.07251082251082251
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 11.996229
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 8.544942
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 6.801415
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 8.434051
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 11.675070
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 9.215151
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 10.567261
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 8.764478
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 6.639836
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 7.129034
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 7.535202
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 7.175140
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 6.432565
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 7.087094
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 7.740427
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 12.737916
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 6.261276
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 8.407906
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 6.884019
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 6.457605
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 9.398021
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 6.803263
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 8.688193
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 8.077831
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 5.683087
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 8.977382
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 8.448800
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 6.744294
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 6.454942
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 6.968201
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 6.056916
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 5.746963
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 6.027128
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 5.680817
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 6.766253
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 6.742778
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 6.739596
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 7.653980
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 6.741124
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 8.034152
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 7.933928
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 7.260194
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 4.918155
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 6.582319
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 8.004861
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 6.582102
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 7.519025
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 7.822601
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 7.794884
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 6.392224
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 5.946652
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 6.616849
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 5.803687
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 8.265286
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 6.345583
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 7.601852
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 5.596893
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 5.765480
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 6.146405
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 6.330177
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 7.114798
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 6.580794
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 5.602257
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 8.337888
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 8.296318
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 7.965682
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 8.093258
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 5.876325
epoch is 10, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 7.054818
epoch is 10, the whole loss is 7.308122
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 108
wer is 0.38551
sacc is 0.11688 
whole loss is 93.90230
0.11688311688311688
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 4.703208
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 4.376708
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 8.653176
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 6.107536
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 7.806303
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 5.709137
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 7.480787
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 7.686070
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 4.902448
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 7.662875
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 8.217490
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 5.976822
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 4.883299
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 5.689997
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 5.321458
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 6.244963
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 4.567269
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 5.875280
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 5.038385
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 5.387307
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 5.718067
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 6.582480
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 4.719087
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 4.490864
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 4.365257
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 5.551944
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 4.287475
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 6.891333
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 5.608957
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 5.416623
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 6.841683
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 5.281104
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 5.132147
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 4.765856
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 6.291552
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 7.019769
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 7.773970
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 5.699182
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 10.320444
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 5.736775
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 5.126243
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 6.276564
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 8.088737
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 5.363173
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 7.888188
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 4.759135
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 4.589934
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 5.869687
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 7.264844
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 7.920993
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 5.047516
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 5.490958
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 4.650362
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 5.168964
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 8.104296
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 4.389982
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 6.244602
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 10.612338
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 4.944890
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 5.855295
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 7.181399
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 7.499416
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 5.327045
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 4.565784
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 5.984058
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 7.129451
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 9.187661
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 8.397570
epoch is 11, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 8.249170
epoch is 11, the whole loss is 6.143749
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 120
wer is 0.37258
sacc is 0.12987 
whole loss is 86.64083
0.12987012987012986
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 7.325958
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 3.953964
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 6.236633
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 4.335261
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 4.825858
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 5.129818
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.915602
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 4.367071
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 6.462334
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.536314
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 4.370527
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 4.764879
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 5.932233
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 5.773371
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 5.538227
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 6.486296
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 5.137063
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 4.953922
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 5.335712
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 5.728482
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 7.686095
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 6.137857
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 5.621466
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 5.129555
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 5.537164
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 4.320848
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 4.887910
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 4.947519
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 6.199504
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 3.608072
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 5.337148
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 5.743403
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 4.558022
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 6.124876
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 4.485999
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 5.462558
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 5.374878
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 6.358289
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 6.358377
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 4.015481
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 5.768054
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 6.224781
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 4.897367
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 4.558880
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 6.791033
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 7.751928
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 6.359001
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 8.859562
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 7.003636
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 5.511239
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 7.215961
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 5.047889
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 7.016069
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 7.081508
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 5.182397
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 6.456560
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 8.699360
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 4.914739
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 4.747493
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 7.114574
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 6.636153
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 5.669059
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 5.396195
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 3.867765
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 7.309692
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 4.120157
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 7.775559
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 4.172519
epoch is 12, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 4.965745
epoch is 12, the whole loss is 5.571759
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 169
wer is 0.31692
sacc is 0.18290 
whole loss is 82.83117
0.1829004329004329
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 3.991846
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 4.342946
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 5.259981
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 4.234014
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 3.869403
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 3.198934
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 3.993174
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 3.793580
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 5.135259
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.564780
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 3.401637
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 3.598252
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 3.766224
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 4.211591
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 3.433077
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 4.592119
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 6.067868
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 8.044478
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 6.440502
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 3.160972
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 4.096276
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 5.397430
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 3.834576
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 4.512721
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 5.714976
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 3.905212
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 5.332552
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 3.480614
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 3.205059
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 5.905035
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 5.804763
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 7.141740
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 3.860450
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 4.355512
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 4.026768
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 6.875838
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 3.918065
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 3.850020
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 4.709239
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 8.451244
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 5.296671
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 3.975901
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 5.197395
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 6.037293
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 5.741196
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.965395
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 7.882348
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 5.679901
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 3.268184
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 3.374498
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 3.886713
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 3.227262
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 5.214574
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 6.096963
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 3.436937
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 3.994467
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 3.746243
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 4.282742
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 7.785587
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 3.094990
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 3.751748
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 4.440193
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 3.236444
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 5.307016
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 5.654515
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 4.230642
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 5.629809
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 4.019410
epoch is 13, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 4.309204
epoch is 13, the whole loss is 4.626051
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 197
wer is 0.28016
sacc is 0.21320 
whole loss is 84.18764
0.2132034632034632
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 3.352508
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.864936
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.977158
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 3.104440
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 5.224645
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 4.812145
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 3.261976
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 4.941306
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 3.218230
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.736753
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 3.227403
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 2.938156
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 2.959293
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 3.246156
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 6.218147
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.796723
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 3.382372
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 4.875525
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 3.815623
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 3.992473
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 4.900840
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 4.758963
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 5.053967
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 3.095363
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 5.543371
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 4.845490
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 6.228387
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 3.182695
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 5.372588
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 6.744281
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 3.065341
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.997534
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 2.965276
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 3.084254
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 5.998457
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 4.167033
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 3.269068
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 3.129051
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 2.757676
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 5.304433
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 3.916164
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 4.103630
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 5.805533
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 6.366692
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 5.921837
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.559492
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 4.979859
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 3.504998
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 3.740918
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 3.563551
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 4.542953
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.762668
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 6.245047
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 5.416823
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 3.456348
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 3.222446
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 3.499666
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 6.496124
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 4.190870
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 3.196172
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 4.516036
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 6.436867
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 3.872627
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 4.006979
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 3.980612
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 3.840004
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 3.866807
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 4.535261
epoch is 14, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 3.790989
epoch is 14, the whole loss is 4.145204
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 184
wer is 0.29678
sacc is 0.19913 
whole loss is 88.75862
the best is 0.213203
the loss is bigger than before,so do not save the model
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 2.836576
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 3.076271
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.437936
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 5.076922
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 4.564661
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 5.236898
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 8.191924
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 4.195623
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 3.126231
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.166825
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 2.240133
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 4.283126
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 3.433326
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 5.224127
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.618266
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.936921
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.610355
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 5.699594
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 4.084521
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 4.109676
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 2.692684
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 3.278101
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 3.746793
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 3.544278
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 5.358223
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 3.844787
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.451223
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 2.374323
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 5.727150
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 2.470060
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 3.122903
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.378186
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 2.640667
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 2.195360
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 2.458524
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.556615
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 3.339124
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 3.284235
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 6.437478
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 2.953062
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 3.299309
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 3.474860
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 3.145144
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 5.142473
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 12.332756
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 7.009669
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 7.134342
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 7.229995
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 4.523305
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 3.501903
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 5.823054
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 9.190501
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 4.604956
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 5.386672
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 4.049828
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 6.238113
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.713405
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 5.087724
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 5.040629
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 3.747124
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 7.268656
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 2.784191
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 4.586464
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 4.172027
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 5.999234
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 3.706871
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 3.232801
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 3.589338
epoch is 15, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 3.637850
epoch is 15, the whole loss is 4.215675
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 198
wer is 0.29439
sacc is 0.21429 
whole loss is 89.27455
0.21428571428571427
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 4.148209
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.604524
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 4.014193
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 3.654549
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 2.712309
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 2.208007
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.633737
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 3.310022
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.864626
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 2.685452
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 3.063891
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 2.030908
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 4.052728
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 2.748917
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.684552
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.658947
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.991895
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 2.335686
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 3.768431
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.875089
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.966203
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 2.419729
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 5.823968
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.353252
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.488183
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 2.825047
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 3.254478
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 4.571061
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 3.301441
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 4.330158
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 4.767033
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.130620
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 4.678935
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 2.300711
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.915147
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.404784
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 6.298403
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 8.455056
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 2.820692
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 2.827174
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 2.500697
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.359598
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 4.920467
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.443738
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 2.055992
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 2.060390
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 9.112692
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 2.663923
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 4.618150
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 3.674961
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 4.771468
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.929510
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.184004
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 2.901051
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 2.419314
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 4.643279
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.907229
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 4.373132
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.564812
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 4.114115
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 6.763329
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 3.132084
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.905208
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 4.391898
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 5.162010
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 3.708903
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 3.608936
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 3.620454
epoch is 16, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 2.810787
epoch is 16, the whole loss is 3.406640
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 160
wer is 0.32149
sacc is 0.17316 
whole loss is 96.09200
the best is 0.214286
the loss is bigger than before,so do not save the model
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 2.126884
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 4.990099
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 3.882082
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 3.019130
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 3.192150
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 7.088798
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 3.437542
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 2.888222
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 4.895092
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 2.808777
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 8.593161
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 3.299611
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 2.749384
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 2.534842
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.632749
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 3.143715
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 3.645438
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 2.888610
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 6.310234
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 4.499262
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 2.442754
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 5.348895
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 2.639115
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.497547
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 3.763154
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 2.248069
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 4.206785
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 2.115300
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 2.124234
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 2.481133
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 4.756332
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.398549
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 3.237653
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 4.572655
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 4.667308
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.352323
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 3.140268
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 7.552189
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 2.601883
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 4.187168
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 2.302658
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 4.837562
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 2.041970
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.665106
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 2.655418
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 2.233026
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 4.076291
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 2.712815
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 4.986083
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 2.093575
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 2.399410
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.839991
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.611304
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 5.880086
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 2.520571
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 2.558311
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.068361
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 4.150471
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 4.002336
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 2.186228
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 2.264161
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 4.267774
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 2.050289
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 5.008082
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.980290
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.762321
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 2.483318
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.829504
epoch is 17, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.342202
epoch is 17, the whole loss is 3.341576
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 265
wer is 0.23970
sacc is 0.28680 
whole loss is 81.45440
0.28679653679653677
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 2.614513
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 3.084421
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.811475
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 4.134726
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 3.635678
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 2.572542
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.816336
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 4.376852
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.109448
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.643827
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 3.499524
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.609564
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 3.746120
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 3.320981
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 3.423910
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.638295
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.608586
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 3.308897
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 2.537172
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.060860
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 2.607169
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 9.008425
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 3.315470
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.691673
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.099080
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 2.451699
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.104270
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.385441
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 2.112403
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 2.470502
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 5.244410
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 4.277555
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 2.210390
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.682193
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 2.302761
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 4.084627
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.593639
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 3.297638
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 4.911592
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 2.726277
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 5.354755
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.119551
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 4.387991
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 3.016086
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 2.573583
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.869540
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.943515
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 3.854329
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.571360
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 2.084464
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 3.629180
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 4.613424
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 3.593891
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 2.042081
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 2.066096
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 2.530940
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 5.669004
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 2.051486
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.565089
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 2.079974
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 3.984003
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 2.491162
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 4.357968
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.668578
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.866103
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.621043
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.925488
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 2.642172
epoch is 18, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 4.747233
epoch is 18, the whole loss is 2.943668
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 210
wer is 0.27567
sacc is 0.22727 
whole loss is 94.79917
the best is 0.286797
the loss is bigger than before,so do not save the model
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 4.128998
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.329540
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.345941
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 3.046088
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 5.478493
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.773190
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.656456
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 2.142165
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.261748
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 2.009234
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 2.289548
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.493205
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 3.832142
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.937918
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 1.544817
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 3.366344
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.526874
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 2.219024
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.707220
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.323552
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.536193
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 3.087628
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.227531
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 3.826076
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.121932
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 3.163608
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 5.837428
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.568794
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.585137
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.661740
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.951369
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.488160
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 3.705094
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 5.896424
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 3.004105
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.454978
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 5.308251
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 2.218842
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 2.289625
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.594263
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 2.643142
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.019354
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 5.190224
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 4.619567
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.984527
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.826270
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.573196
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 2.208120
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.640401
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 4.309564
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 2.032430
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 1.850299
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.615596
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 3.262977
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 6.613829
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 4.491588
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.165353
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 3.941547
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 3.833482
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 2.718860
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.961946
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 4.297013
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 2.117026
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.561902
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 2.301856
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 2.074893
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 3.558403
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.636624
epoch is 19, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.863377
epoch is 19, the whole loss is 2.682422
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 245
wer is 0.24897
sacc is 0.26515 
whole loss is 89.60018
the best is 0.286797
the loss is bigger than before,so do not save the model
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.736220
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 3.926184
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.568644
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 4.076095
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.574487
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.219113
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.816718
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 2.282320
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.643812
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 2.477152
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.835560
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.754857
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.701775
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.604765
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.866641
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 4.581477
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.831560
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 1.619722
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 2.750246
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.403475
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 3.268201
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.821059
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 2.969555
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 6.377694
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.864095
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.340278
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 4.455927
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.644199
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.975703
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 5.458398
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 2.480291
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.581039
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 5.191942
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 2.597812
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 3.582143
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 6.340734
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 4.464763
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 2.229780
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 1.546820
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.210151
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.481101
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.531733
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 4.857169
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.904002
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 4.999262
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 2.252614
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 3.802109
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.674255
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.416890
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.697779
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 4.104382
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 1.674038
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 4.533883
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.511909
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 3.336627
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 4.883452
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 6.357148
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 6.407367
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 6.056290
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 7.715520
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 14.041563
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 7.644458
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 5.003241
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 3.553072
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 4.426422
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 3.232541
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 3.506307
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 3.066016
epoch is 20, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 5.061129
epoch is 20, the whole loss is 3.336337
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 213
wer is 0.26263
sacc is 0.23052 
whole loss is 83.08059
the best is 0.286797
the loss is bigger than before,so do not save the model
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 4.229918
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.212581
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.936104
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 2.710278
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 21.017747
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 14.099021
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 10.981247
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 7.544458
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 7.596854
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 6.030248
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 8.152593
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 6.464600
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 8.129920
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 6.954512
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 4.227004
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 3.661796
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 4.985407
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 4.243496
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 4.927352
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 4.244730
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 3.635504
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 4.572495
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 5.438660
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.797693
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 6.056229
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 4.436782
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 5.544399
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 3.148040
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 2.912646
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 3.962471
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 2.469282
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.563433
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 2.766250
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 4.976559
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 3.206735
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 3.676444
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 4.450863
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 5.163073
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 4.899810
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 2.438035
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 2.343889
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.492281
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 2.741661
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.598433
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 4.515350
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.120554
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 7.235810
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 3.357463
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 5.273066
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 2.609679
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 4.406394
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 3.291903
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.899748
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 2.599540
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 4.673697
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 2.369624
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.447781
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 3.421353
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 7.707943
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 5.278991
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 2.258059
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 2.220204
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.931922
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 3.909571
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 4.071945
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 2.216349
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 2.934941
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 6.465363
epoch is 21, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 4.101024
epoch is 21, the whole loss is 4.593274
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 209
wer is 0.31119
sacc is 0.22619 
whole loss is 91.57983
the best is 0.286797
the loss is bigger than before,so do not save the model
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 3.635402
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.606538
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 5.792710
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.949711
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.369726
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.643422
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 4.468571
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.755165
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.052365
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.930398
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 3.096002
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 2.689557
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.935736
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 4.087317
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.201061
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 6.832155
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.054256
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 1.771510
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 2.370732
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.075036
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 4.458184
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.792367
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.869633
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 3.380806
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.188790
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 4.337590
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.116435
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.582960
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 2.070489
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 2.024480
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 2.021529
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.236190
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 2.296242
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 2.481077
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.584100
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.929821
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 4.749697
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.899242
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 3.316776
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 2.748772
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 3.962625
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.933349
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 4.682323
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.068570
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.982491
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 4.888171
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 3.139106
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 6.078401
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.586557
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.926860
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.518167
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 1.674604
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 3.448058
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 3.337590
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.358725
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.777226
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 1.679201
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 4.082315
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.848561
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 5.601034
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.668171
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 2.552715
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 2.111984
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 2.572798
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 2.368302
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 4.955145
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 2.180194
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.755118
epoch is 22, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 2.202244
epoch is 22, the whole loss is 2.703814
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 223
wer is 0.26053
sacc is 0.24134 
whole loss is 92.52220
the best is 0.286797
the loss is bigger than before,so do not save the model
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.286421
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.348635
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.440013
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.463427
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 3.889519
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.881429
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.446721
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.128945
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.334412
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.439966
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.634397
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.388325
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.514277
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 3.185459
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 4.266576
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.542367
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.592671
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 3.344873
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 3.189979
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.823313
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.935626
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.489147
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.688746
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.312968
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.708989
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 4.151676
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 3.708205
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.913717
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 3.539104
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.820550
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 3.125383
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 3.548940
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.022980
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 3.354372
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 3.175187
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 3.412398
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.961018
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.776082
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 2.984581
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.200126
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.461021
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.214387
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 5.789634
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.428375
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 3.008688
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 4.733758
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 3.348800
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.632444
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.654018
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.764710
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.235364
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 1.550435
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.430961
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 4.558050
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.321754
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.827917
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 5.386407
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 1.540749
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.327040
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.632511
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.979210
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.026664
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.331370
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.956190
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.646007
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.410480
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 3.829734
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.514139
epoch is 23, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 2.512873
epoch is 23, the whole loss is 2.239864
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 184
wer is 0.36018
sacc is 0.19913 
whole loss is 103.15237
the best is 0.286797
the loss is bigger than before,so do not save the model
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 4.748443
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.800611
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 4.059383
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.863225
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.313422
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.605331
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.015479
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.548395
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.267161
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.150949
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.123074
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.421539
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 3.406411
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 3.213234
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 3.486294
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.309981
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.240612
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 3.689390
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 3.169366
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.201512
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.584383
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.914771
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 3.939911
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.403389
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.305150
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.388989
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.673155
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.179064
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.311392
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 3.012140
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 2.849979
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.393580
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.372075
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.301763
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 3.219948
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.410427
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.318523
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.552983
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 3.407434
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.971210
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.065348
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 3.349908
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 4.521848
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.664860
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.941388
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.629975
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.413641
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.161953
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 7.340029
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.542715
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.655405
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 1.052018
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 3.352319
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.595241
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.874437
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.427102
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 3.060089
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 1.508973
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.045140
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.343708
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.461236
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.095960
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 5.475581
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.733805
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.023474
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.160217
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.380901
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 2.366431
epoch is 24, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 2.781035
epoch is 24, the whole loss is 2.127079
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 281
wer is 0.20827
sacc is 0.30411 
whole loss is 83.85085
0.3041125541125541
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 2.495012
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.841542
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.293904
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.794687
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.813098
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.191687
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.918806
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.470991
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 5.163007
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.424043
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.206305
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 3.410086
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.054139
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 4.928974
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.625109
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.181613
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.891595
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.973645
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 3.810625
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.239053
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.110260
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.404292
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.216580
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.361980
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.089002
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 2.524611
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.657768
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.953787
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 3.182695
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.018111
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 3.086441
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.486850
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.205860
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.132523
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.921160
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.927636
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 2.927087
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 2.579409
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 1.048336
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.184194
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.249567
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.962700
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.186708
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.460907
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.305865
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.920711
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.063867
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.930825
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.822115
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 2.807801
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 3.135557
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.966312
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.743586
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.261004
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 3.089889
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 3.147066
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.857760
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 1.481132
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.769255
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 2.604026
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.241775
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 3.122538
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.177108
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.688799
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 2.104198
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 3.819566
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 4.813533
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 2.048974
epoch is 25, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.901035
epoch is 25, the whole loss is 1.886790
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 244
wer is 0.25269
sacc is 0.26407 
whole loss is 91.46503
the best is 0.304113
the loss is bigger than before,so do not save the model
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.278527
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.728047
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.231548
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.264124
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 2.407846
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 3.367250
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 4.434530
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.408814
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.667622
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.239480
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.072383
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 4.248030
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.270303
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.255265
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.930021
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.200429
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.268168
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 1.136201
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 2.511481
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 3.720070
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 2.117117
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.936279
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 3.875281
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.524595
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.860606
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.770032
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.204306
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.404444
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.616148
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.770113
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.452836
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.176512
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.211692
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.335504
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.441946
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 5.088059
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 5.599113
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 3.296611
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 1.565582
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 2.840809
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 3.172585
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.179362
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 5.139267
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.363159
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.265346
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.444506
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.755462
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 5.699333
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.189983
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 3.319811
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.973261
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 1.046798
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.053970
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.091711
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.187778
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.003220
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 3.545155
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 4.220775
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.239192
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.912166
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.180543
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.881947
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.665848
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.926134
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.298632
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.137317
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.818595
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.225391
epoch is 26, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 2.274582
epoch is 26, the whole loss is 1.980230
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 271
wer is 0.22279
sacc is 0.29329 
whole loss is 87.81997
the best is 0.304113
the loss is bigger than before,so do not save the model
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.928648
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.832564
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.776307
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 2.939110
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.847635
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.803860
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.797562
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.900536
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.961480
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.890016
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.813516
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 2.307355
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.916508
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 2.943787
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.697875
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.708468
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.057836
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.837615
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 3.288355
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.940045
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.991652
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 3.927139
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.010436
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.366218
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 4.369901
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.158708
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.740490
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.910259
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.771797
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.745256
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 2.863352
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.836008
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 4.593771
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.789831
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 4.026934
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 3.400894
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.540870
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.926131
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.921784
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 3.176699
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.831825
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.354111
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.166678
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.084618
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.941776
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 2.820351
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 2.769547
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.639259
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.923798
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.764694
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.768765
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.830407
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 3.401686
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.721133
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 3.085784
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.879516
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.710018
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 2.654267
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.464069
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.984897
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.045175
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.136976
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.254259
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 2.922752
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.531600
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.957352
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.726273
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.851618
epoch is 27, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.992152
epoch is 27, the whole loss is 1.600276
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 274
wer is 0.23704
sacc is 0.29654 
whole loss is 97.42348
the best is 0.304113
the loss is bigger than before,so do not save the model
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.553182
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.552435
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.717814
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.418979
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.532826
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.689339
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.558422
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.463072
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.487782
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 4.186494
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.900547
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.886312
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.829159
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 3.348877
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.688974
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.932413
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.929839
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.930102
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.656975
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.327708
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.651429
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 2.785753
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 2.515587
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.704116
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.800826
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.194041
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.960218
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.922359
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.593633
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.515030
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.689638
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.979413
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.925211
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.836555
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.816049
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.778541
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.888325
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.091427
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.690935
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 2.877411
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.538834
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.760504
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.613194
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 6.102230
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 3.059501
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.060364
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 5.103668
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.822156
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 2.656980
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.628742
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.857041
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.680171
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.671166
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 4.173361
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 2.080685
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.529122
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.939727
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 4.101522
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.724287
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.811996
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 3.022265
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.808113
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.608387
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 3.935344
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.952472
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.807737
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 3.768992
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.476605
epoch is 28, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.827956
epoch is 28, the whole loss is 1.434586
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 281
wer is 0.19811
sacc is 0.30411 
whole loss is 86.38922
the best is 0.304113
the loss is bigger than before,so do not save the model
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 3.019987
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.822856
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.576758
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 2.679513
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.426631
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.565447
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.052950
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.633351
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.217321
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.569766
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.616255
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.468257
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.887798
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.130925
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 3.097439
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.703675
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.817961
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 4.538292
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.843370
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.746189
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.549743
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.753182
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.835914
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.695342
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.609932
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.700151
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.721632
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.573319
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.832748
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 2.849694
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.821023
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.453927
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 2.447487
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.788277
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.773071
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.483741
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 2.492816
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.544456
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 2.758236
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.923375
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 4.632335
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.680631
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 2.439819
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.864297
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.926754
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.602029
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 2.541249
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.627159
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.740055
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 3.623581
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 4.438541
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.613795
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.836986
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.602160
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.642016
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.650528
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.494249
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 3.342735
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.664578
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.417193
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.482156
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.602843
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 5.212614
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.694612
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.602284
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.741517
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.914174
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.574092
epoch is 29, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.066102
epoch is 29, the whole loss is 1.425442
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 249
wer is 0.24834
sacc is 0.26948 
whole loss is 112.09272
the best is 0.304113
the loss is bigger than before,so do not save the model
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.336784
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.632905
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.285510
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.583481
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.654011
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.981789
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.439093
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.680982
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.760844
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.540222
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.595837
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.510629
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 2.252756
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.607864
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.600408
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.608108
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.979980
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 2.250951
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.767157
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.729375
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.618945
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.597796
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.873232
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.708636
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.742453
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 2.210010
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.624324
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 2.788874
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.605460
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.638179
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 2.417130
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.629710
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.525599
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.529471
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.935569
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.782664
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 2.373936
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.615588
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 5.138711
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.433042
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.585335
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.631947
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.630734
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.846621
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.633347
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.459790
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.960690
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.534314
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.554399
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.500046
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 2.794955
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.307012
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.700927
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 2.038970
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.577809
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 4.845034
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.705492
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.657300
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.527928
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.667258
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.581502
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.628380
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.648618
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.625866
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.702935
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 4.707589
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.374929
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.624960
epoch is 30, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.417441
epoch is 30, the whole loss is 1.221105
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 264
wer is 0.21583
sacc is 0.28571 
whole loss is 95.32778
the best is 0.304113
the loss is bigger than before,so do not save the model
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 2.012490
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 4.118090
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.192287
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.430023
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.383310
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.488193
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 4.352267
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 3.386480
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.423042
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.341689
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.500432
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.460394
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 2.126015
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.382807
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.532206
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.337407
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.508075
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.567551
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.392155
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.602861
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 2.210098
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.436476
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.541972
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.389920
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.614517
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.474938
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.467270
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.329306
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.433819
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.680996
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.492107
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 3.851671
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.567956
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.469317
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.738320
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.523659
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 2.215610
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.440294
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.666228
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 2.590036
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.656512
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.360474
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.465320
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.565112
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.468093
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 4.620130
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.366488
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.692965
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.477221
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.583810
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.497910
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 3.813473
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 3.150316
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.834278
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.658185
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 2.400975
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 3.892452
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.752543
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.950800
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.593618
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.742437
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.818486
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 2.648461
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.830818
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 5.189910
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.857019
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.795971
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 2.123407
epoch is 31, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.571645
epoch is 31, the whole loss is 1.264043
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 291
wer is 0.21172
sacc is 0.31494 
whole loss is 91.15431
0.31493506493506496
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.482456
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.525068
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.354666
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.349141
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.659412
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.366737
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.671581
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.789439
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.679162
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.402957
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.714614
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.458558
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.655266
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.503102
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 1.837851
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.442887
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.636788
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.572752
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.966287
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 3.719728
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.542932
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.551126
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.472196
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.279282
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 3.703788
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.321927
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 3.847123
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 2.315132
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.464431
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.523260
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.595142
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.628015
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.667665
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 4.279976
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.662303
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.439870
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 2.657880
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.751366
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 2.656484
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.708167
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.994349
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.502782
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.896594
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 3.090500
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.312802
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.038842
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.797945
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.893729
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.594076
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.600253
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 5.312601
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.701210
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.111471
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.572316
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.573982
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.762890
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.706387
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.762906
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.410933
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.357809
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.804186
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.678101
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.655642
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.425489
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 2.295524
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 4.333857
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.054724
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.834891
epoch is 32, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 3.871688
epoch is 32, the whole loss is 1.289221
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 280
wer is 0.22078
sacc is 0.30303 
whole loss is 91.24977
the best is 0.314935
the loss is bigger than before,so do not save the model
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.671259
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.528468
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.356134
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 3.163030
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.464391
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.613128
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 6.574737
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 2.271375
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.512737
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.824298
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 3.134714
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.644921
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 2.626026
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.845456
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.375019
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.537057
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.608544
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.518410
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.418673
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.402196
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.570596
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.501144
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 2.512202
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.504084
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.080222
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.801568
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.669720
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 4.159188
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.974320
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.674706
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.415355
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.486131
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 2.147754
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.570802
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.385438
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.441247
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.515918
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.585371
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.803172
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.856079
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.596781
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.524731
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.529418
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.557224
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 2.839823
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.582492
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 4.010076
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.593326
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.379781
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 5.960772
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 10.372975
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 4.880599
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 4.074177
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.953022
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.368121
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 2.976822
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 3.287986
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 2.916044
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.492949
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.992834
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.930161
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.131532
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.754815
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.962175
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.685923
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.901605
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.070006
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.065587
epoch is 33, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.923003
epoch is 33, the whole loss is 1.680493
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 258
wer is 0.24966
sacc is 0.27922 
whole loss is 101.23624
the best is 0.314935
the loss is bigger than before,so do not save the model
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.620489
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 4.255522
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.791031
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.618181
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.553800
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.433640
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 3.503891
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 2.666750
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 3.338179
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.476204
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.333426
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.409451
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.319563
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.316253
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.702850
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 3.300229
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 3.466480
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.960431
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.111413
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.845754
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 2.063148
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 2.758177
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.009413
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.123784
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.183444
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.176644
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 6.877610
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.037104
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.573225
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.139852
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.862140
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.864413
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.889543
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.669983
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.910424
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.491001
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.706974
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.541057
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.674068
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.944230
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.614167
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.181204
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.141926
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.600096
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 2.079052
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.444718
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.683703
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.649054
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.461936
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.578414
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 2.165979
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.545158
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.736544
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 2.447634
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 3.576623
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.878418
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.753474
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 1.140595
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.770994
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.687868
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 2.574961
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 2.756448
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.732918
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.917005
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.899015
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.668865
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.592723
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 4.812614
epoch is 34, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.800855
epoch is 34, the whole loss is 1.556350
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 292
wer is 0.20258
sacc is 0.31602 
whole loss is 89.45901
0.31601731601731603
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 2.184179
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.403409
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.499197
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.753271
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.997266
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.857135
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.674573
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.584117
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.108344
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.466567
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 2.240915
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.634604
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.666249
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.992262
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.528623
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.427548
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.939506
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.646370
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.857462
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 2.366342
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 2.253648
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.402565
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 2.711208
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.063936
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.613653
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.540334
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.582510
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.378409
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.325516
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.527464
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 2.539712
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.005298
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.561811
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.570724
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.543604
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.497364
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.013150
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.556284
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.653690
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.751122
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.740247
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.625994
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.594312
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.760668
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.533540
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.486354
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.446187
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.425408
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 2.579642
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.449050
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 2.346396
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.360717
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.386279
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.455276
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.730959
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.613288
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.259071
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.448126
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.449726
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 3.101520
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.914772
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.118062
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.614821
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 3.932797
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 4.767371
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 2.406015
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.451594
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.437097
epoch is 35, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.400965
epoch is 35, the whole loss is 1.259809
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 319
wer is 0.18664
sacc is 0.34524 
whole loss is 84.43728
0.34523809523809523
saving the model....
encoder_lr0.00010_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.257589
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.550052
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.365584
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 2.195306
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 2.202449
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.552472
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.732212
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.376275
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.453541
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 2.619427
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.307501
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 2.286702
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 5.120438
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.387719
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.387489
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.478016
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.554817
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.613554
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.389420
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.568355
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.580068
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 2.390105
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 2.098834
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.466214
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.616486
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.390345
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.532513
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.313401
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.557093
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.605362
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.970469
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.402726
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.749571
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.814103
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.582318
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.626588
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.470848
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.321318
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.660528
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.563414
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.371099
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.314470
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.951581
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.568079
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.484906
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.755374
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.702044
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.518928
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 2.226631
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.778534
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.587247
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.691030
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 3.258570
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.950301
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 2.547419
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.975266
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.496463
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 2.642671
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.709275
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.505117
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.528797
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.836078
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.397700
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 3.509117
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 3.110741
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.504596
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.358944
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.386834
epoch is 36, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.414470
epoch is 36, the whole loss is 1.165596
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 298
wer is 0.20038
sacc is 0.32251 
whole loss is 96.04406
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.366531
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.816057
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.734157
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 2.014836
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.490826
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 2.124160
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.456946
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.383280
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.653426
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.357621
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.347359
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.765682
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.297767
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.668744
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 3.530060
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.959122
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.149811
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.559954
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.685653
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.364373
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 2.757112
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.248101
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.448681
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 4.076931
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.583358
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.413585
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.422679
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.772133
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.467957
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.359630
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.518212
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.063879
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.770381
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.260079
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 2.197783
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.414561
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.583180
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.484353
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.592481
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.467998
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.654291
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.345596
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.435835
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.451866
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.379003
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.583138
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.758247
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.449367
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.415177
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.589908
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.524349
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.699827
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.421563
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.366671
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.625702
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.565907
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.751533
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 2.291653
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.161313
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.416074
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.410281
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 2.029046
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.384240
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.678901
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.462814
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.337530
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.395063
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.297413
epoch is 37, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.546735
epoch is 37, the whole loss is 1.077523
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 281
wer is 0.23044
sacc is 0.30411 
whole loss is 98.10416
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.364132
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.585400
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.421697
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.267388
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.237568
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.317276
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.274632
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.280531
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.318044
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.451915
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.396643
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.279264
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.395973
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.344853
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.393274
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.260860
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.284955
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 2.840057
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.446969
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.952273
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.260064
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.325169
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.903829
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.238837
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.393846
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 3.295268
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.242782
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.385397
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.796243
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.599970
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.240925
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.340678
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.690475
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.289827
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 2.609909
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.648756
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.259713
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.911316
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.206319
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.261432
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.432675
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.483513
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.384178
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.998415
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.267822
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.379712
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.868520
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.911547
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.488312
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.252114
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.550988
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.299961
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.819436
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.244145
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.213909
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.536593
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.295705
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.241034
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.737160
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 2.173510
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.631361
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.840945
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.501979
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.351592
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 2.571054
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.407887
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.842762
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.618857
epoch is 38, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.702520
epoch is 38, the whole loss is 0.977093
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 207
wer is 0.29826
sacc is 0.22403 
whole loss is 120.65533
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 2.828500
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.347082
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.338137
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 2.108832
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.454700
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.576822
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.400148
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.567823
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.411048
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.940132
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.422555
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.406047
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.505471
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.255862
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.530495
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.336501
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.958111
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.271464
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.270543
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.452617
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.186445
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.624382
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.373834
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.378162
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.250081
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.573407
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.165707
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 2.572915
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.405517
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 2.138279
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.665424
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.237378
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.231405
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.266211
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 2.064156
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.288650
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 4.629382
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.334581
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.286955
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.245283
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.218769
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.993106
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.192694
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.228214
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.624752
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.345181
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.345923
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.411067
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.302694
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 2.281803
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.914760
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.282721
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.555517
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.406921
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 3.429677
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.068847
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 1.111523
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.669078
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.354518
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 2.323327
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.636056
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 2.578124
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.528179
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.722358
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.660103
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 3.139308
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.376623
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.473826
epoch is 39, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.317393
epoch is 39, the whole loss is 1.030661
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 307
wer is 0.21083
sacc is 0.33225 
whole loss is 91.98769
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.993916
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.460279
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.369747
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 4.018963
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 4.358395
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.389158
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.370290
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 2.540890
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.378600
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.354866
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 2.093020
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.428620
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.328988
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 2.300802
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.277675
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.348804
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.283568
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.336234
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.207541
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.183241
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.453248
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.873361
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.256660
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.476525
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.246311
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 3.383831
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.371365
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.319883
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.709444
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.387472
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.703074
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.475137
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.451097
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.230919
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.257732
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.300610
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.234307
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.911475
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.453171
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.293544
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.329893
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.209187
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.357579
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.360926
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.154394
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.209513
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.336577
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.470396
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.215621
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.242584
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 2.400275
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.001932
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.364063
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.327710
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.275665
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.872573
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 1.908893
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 1.879258
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.330890
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 3.401337
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.187461
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.354990
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.167351
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.237137
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.275389
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 2.159797
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.346234
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.306869
epoch is 40, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.283154
epoch is 40, the whole loss is 0.901262
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 266
wer is 0.21769
sacc is 0.28788 
whole loss is 101.82992
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.257348
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.268174
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.202871
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.279454
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.341838
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.269452
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.161426
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.261352
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.142894
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.176700
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.224719
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.216206
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 3.164202
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.261323
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.571704
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.349365
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.283145
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.351335
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.068090
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 5.338686
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.095427
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.731214
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.578023
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.845788
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.919923
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.474864
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.466445
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.879528
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.788140
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 2.322602
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 3.585260
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 2.163538
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.446901
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.602604
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.926128
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.472251
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.753487
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 2.407979
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.331759
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.334366
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.537747
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.335061
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.416604
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.515012
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.522614
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.381815
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.376533
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.324886
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 2.134158
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.304603
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.456020
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.581107
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.029240
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.571278
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 2.187530
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.686982
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 4.235825
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.532446
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.772478
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.496006
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.433571
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.539684
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.608559
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 3.813223
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.172748
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.751011
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.442313
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 4.513263
epoch is 41, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.733059
epoch is 41, the whole loss is 1.158826
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 233
wer is 0.28741
sacc is 0.25216 
whole loss is 115.05908
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.381563
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.245915
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.336682
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.466224
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 2.297020
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.486718
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.557730
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.407208
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.496235
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.487920
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.358743
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.207333
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.428417
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.260410
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.686460
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.335038
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.145429
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.613769
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.879230
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.914688
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.558072
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.676600
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 3.593620
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.488129
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.619198
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.973924
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.306848
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.430847
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.346917
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.285105
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.415657
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.239820
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.867530
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.306080
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.456772
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.399509
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.838106
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.386196
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.245671
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.522409
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.804887
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.581308
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 2.452988
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.283466
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.345037
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.300127
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 2.366516
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.463339
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.268127
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.412159
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.914471
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.302785
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.298149
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.837613
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.290301
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.314409
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.537888
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.150823
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.420301
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.299015
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.380372
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 3.286838
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.464892
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.650555
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 2.090760
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.934399
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.424715
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 2.481022
epoch is 42, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.746041
epoch is 42, the whole loss is 1.005666
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 278
wer is 0.19787
sacc is 0.30087 
whole loss is 94.96889
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 2.226754
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 2.243570
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.221233
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.417664
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.254286
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.409049
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 3.040339
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.979886
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.706780
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.284697
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.213896
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.877643
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.520756
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.455021
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.311318
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.239520
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.987688
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 1.292405
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.853347
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.845147
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.217393
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.351446
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.308544
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.434774
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.349141
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 2.637042
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.408291
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.309583
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.351209
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.336390
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.230561
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.498167
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.294032
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.314164
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.877180
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.230380
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.180785
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.213461
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.289039
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.750670
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.127392
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.150802
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.863131
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 2.178738
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.230634
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 2.509355
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.854753
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.871747
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.423425
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 2.326843
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.399279
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.233920
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 2.434492
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.355661
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.287826
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.323961
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 1.886293
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.151559
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.234596
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.424845
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.356071
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.470730
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.826856
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.207240
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.338456
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.233862
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.249890
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.391847
epoch is 43, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 2.137381
epoch is 43, the whole loss is 0.925156
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 294
wer is 0.21989
sacc is 0.31818 
whole loss is 101.24236
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.359048
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.204050
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.484394
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.373697
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.534377
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.575200
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.213315
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.300609
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.432585
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.154196
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.721389
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 2.056544
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.131714
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 2.202914
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.146073
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.518899
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.158636
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.234578
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 2.647542
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.853872
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.270464
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.224987
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 5.848622
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.125902
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.161281
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.274533
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.479480
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.247583
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.966000
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.194421
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.230790
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.293729
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.959089
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.251718
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.329943
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.157341
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.120848
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.196215
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.174302
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.213674
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.285136
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.901891
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.315883
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.328297
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.937830
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.456062
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.217745
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.126583
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.189261
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.258892
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.325700
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.181476
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.178105
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.181869
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.709897
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.865315
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.129537
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.153870
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.457568
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.568171
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.233616
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.720031
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.189624
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.219130
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.143703
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.349346
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.175891
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.664192
epoch is 44, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.153631
epoch is 44, the whole loss is 0.784440
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 305
wer is 0.20760
sacc is 0.33009 
whole loss is 101.27432
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.158117
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.153118
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.195797
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 2.823589
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.881541
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.126538
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.103479
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.411124
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.228559
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.876919
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.162261
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.238649
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 2.182479
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 3.311821
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.241648
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.126912
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.771463
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.147158
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.235560
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.088264
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.183089
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.195852
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.880126
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.138246
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.066776
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.139508
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.017367
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 2.146465
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.615867
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.228546
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 2.380443
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.392406
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.274993
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.472738
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.216890
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.198444
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 2.125950
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 2.742568
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 1.867926
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.222259
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 3.719483
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 5.195965
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.279418
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.404152
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.253090
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.344511
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 2.455486
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.291889
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.281056
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.211850
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.286233
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.263910
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.244741
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.266354
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.171122
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.517918
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.355563
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.343367
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.209307
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.224414
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.161347
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.094607
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.204131
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.271034
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.159351
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.122702
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.250779
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.209520
epoch is 45, lr rate is 0.00010, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.155016
epoch is 45, the whole loss is 0.831484
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 313
wer is 0.18989
sacc is 0.33874 
whole loss is 93.66633
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.699500
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.737935
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.208465
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.225510
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.123154
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.111217
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.074930
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.127477
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.171247
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.191408
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.239038
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.140034
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.151360
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.172155
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.154521
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 3.357880
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.269794
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.090969
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.184474
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.150395
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.567634
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.144961
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.949222
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.110426
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.211624
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.181216
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.777691
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 3.308473
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.147676
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.498957
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.796327
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.163937
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.105784
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.132227
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.129987
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.236127
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.138541
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.892072
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.113352
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.110551
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 3.034569
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.908216
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.248142
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.301087
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.917534
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.124076
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.122509
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.095603
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.354534
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.300065
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.108850
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.067432
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.089829
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.461326
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.158172
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.400453
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.080076
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.217650
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.115099
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.055893
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.891502
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.092709
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.381869
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.130154
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.107593
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.122324
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.513842
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.108539
epoch is 46, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.081242
epoch is 46, the whole loss is 0.716198
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 279
wer is 0.22694
sacc is 0.30195 
whole loss is 110.74060
the best is 0.345238
the loss is bigger than before,so do not save the model
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.155991
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.128616
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.119448
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.085481
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.141386
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.065475
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 2.213810
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.074241
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.699273
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.992786
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.051860
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.118145
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.095537
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.059777
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.104270
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.291775
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 2.031474
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.129013
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.089118
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.082206
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.088920
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.136871
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.116465
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.159405
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.092686
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.088983
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.087093
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 2.875398
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.777948
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.113934
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.654074
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.071581
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.470280
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.082492
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.207055
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.053978
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.065717
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.036451
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.084381
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.063892
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.068931
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.145503
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.070924
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.108696
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.754764
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.243380
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 2.311357
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.046923
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 3.467448
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.125885
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.823444
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 1.564569
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.660839
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.059101
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.689045
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.077696
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.092470
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.114724
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.444085
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.983168
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.579336
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.092918
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.518865
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 2.697665
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.069790
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.781564
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.077483
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.089906
epoch is 47, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.038050
epoch is 47, the whole loss is 0.744431
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 334
wer is 0.18204
sacc is 0.36147 
whole loss is 92.31523
0.36147186147186144
saving the model....
encoder_lr0.00001_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.052378
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.115227
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.036818
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.668654
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 2.106099
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.047223
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.077623
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.085168
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 2.007995
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.957729
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.104391
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.064993
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.116955
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.110290
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.057975
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.076470
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.915417
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 3.749947
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.091775
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.541208
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.596843
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.071334
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.835254
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.312278
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.074907
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.156981
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.075268
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.096785
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.062030
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.107933
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.104846
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.354506
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.084664
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.503364
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.848275
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.124716
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.057996
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.057052
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.095400
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.101590
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.140313
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.297375
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.901266
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.286272
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 4.780647
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.056409
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.067837
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.566776
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.132520
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.147251
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.995989
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.071718
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.776111
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.545386
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.684498
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.648506
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.041568
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.091505
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.419782
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.074678
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.116418
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.211320
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.127766
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.088428
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.052913
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.082760
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.025550
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.051924
epoch is 48, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.054538
epoch is 48, the whole loss is 0.692586
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 321
wer is 0.19161
sacc is 0.34740 
whole loss is 95.78997
the best is 0.361472
the loss is bigger than before,so do not save the model
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.164845
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.892735
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.073273
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.066847
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.584249
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.890432
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.067814
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.057549
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.044346
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.202477
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.064809
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.080807
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.039252
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.031930
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.063912
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.090202
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.127462
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.078109
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.083414
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.064636
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.087177
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.629290
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.850026
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.568481
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.059549
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.874381
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.056455
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.070701
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.986790
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.038058
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.592874
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.047232
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.047701
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 3.223308
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.074777
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.072532
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.069068
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.072362
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.063973
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.202644
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.117990
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 2.940341
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.067799
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.111413
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.777882
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.042798
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 3.202109
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.113337
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.545336
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.044586
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 2.604878
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.049048
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.539879
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.529902
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.040262
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.081957
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.052693
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.063389
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.140975
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.069007
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.542230
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.051442
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.084828
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.900391
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.922343
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.098388
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.066183
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.064115
epoch is 49, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.117253
epoch is 49, the whole loss is 0.666672
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 331
wer is 0.18511
sacc is 0.35823 
whole loss is 93.59555
the best is 0.361472
the loss is bigger than before,so do not save the model
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.085589
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.059266
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.055631
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.097585
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 2.012179
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.031158
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.796769
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.111011
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.077339
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.070558
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.739489
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.088318
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.066701
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.629778
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 2.204888
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.781692
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.119603
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.044748
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.088159
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.136779
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.048994
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.081538
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.063179
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.061769
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.033668
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.846589
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.037643
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.070919
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.060635
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.052388
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.045453
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.074010
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.037447
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.030667
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.316678
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.352502
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.068030
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 2.935545
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.053940
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.410412
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.077974
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.225071
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.096853
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.056954
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.042941
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.766901
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.108611
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.714122
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.109814
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.056280
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.076826
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.067537
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.583842
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 2.495468
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.095717
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 2.732970
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.075885
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.057967
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.227573
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.072485
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.712253
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.081338
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.461558
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.086196
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.782735
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.077027
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.056407
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.040903
epoch is 50, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.085557
epoch is 50, the whole loss is 0.647518
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 327
wer is 0.17865
sacc is 0.35390 
whole loss is 91.22676
the best is 0.361472
the loss is bigger than before,so do not save the model
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.916968
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.081475
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.063716
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.039043
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.415723
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.829550
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.050930
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.584598
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.023625
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.038743
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.141153
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.756573
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.071669
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.105086
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 1.624163
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.827684
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.039503
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.078597
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.130406
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.045090
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.073692
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.072208
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.246350
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.023141
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.084852
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.042831
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.537022
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.091447
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.027064
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.686114
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.000713
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.082788
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.064279
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.479256
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.038202
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.071311
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.053613
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.451892
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.048889
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.076388
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.432408
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.062320
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.051442
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.161386
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.050618
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.030932
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.047931
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.150165
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.076883
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.497032
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.107605
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.055783
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 3.516962
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.822535
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.059153
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.256767
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.056497
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.034436
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.068436
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.914758
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.580178
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 2.554755
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.056879
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.047073
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.109984
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.096731
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.048433
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.069552
epoch is 51, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.076588
epoch is 51, the whole loss is 0.605966
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 328
wer is 0.18427
sacc is 0.35498 
whole loss is 93.52927
the best is 0.361472
the loss is bigger than before,so do not save the model
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.056783
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.070253
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.326026
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 4.394133
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.125018
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.092344
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.545781
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.081842
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.131065
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.084697
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.331041
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.069464
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.057197
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.068693
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 1.641317
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.043142
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.127392
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 1.455421
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.703122
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.034951
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.431232
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.484344
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 2.145787
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.051539
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.027503
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.041765
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.792117
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.062321
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.118153
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.854521
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.095632
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.067489
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.052241
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.271029
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.460422
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.042754
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.048224
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.214784
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.093603
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.934248
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.074544
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.472247
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.046571
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.078388
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.087595
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.043761
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.035130
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.059909
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.629546
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.408413
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.059012
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.029983
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.788916
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.038982
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.058486
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.101979
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.046515
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.067172
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.862835
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.113472
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.102310
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.105251
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.053958
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.112051
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.707458
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.315434
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.058988
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.055259
epoch is 52, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.160012
epoch is 52, the whole loss is 0.638884
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 349
wer is 0.17005
sacc is 0.37771 
whole loss is 88.08983
0.3777056277056277
saving the model....
encoder_lr0.00001_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.032705
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.220847
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.837037
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.108755
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.070650
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.136460
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.039516
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.069995
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.046816
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.409058
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.033754
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.063854
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.541075
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.279824
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 1.258397
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.033460
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.051335
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.110886
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.064060
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.044791
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.446040
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.037423
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 3.478647
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.070675
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.037292
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.028927
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.027479
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.105596
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.057801
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.074542
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.061815
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 3.797906
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.052900
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.559555
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 3.230695
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 4.512425
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.351408
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.050362
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 1.998764
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.564117
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.124911
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.041329
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.051789
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.067814
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.166069
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.090861
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.047309
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.047750
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.252720
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.047836
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.025350
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.035415
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.576787
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.067792
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.077262
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.083302
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.451555
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 1.706887
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.044781
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.039727
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.123315
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.068516
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.091364
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.045006
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.050909
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.049173
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.060242
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.056647
epoch is 53, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.046648
epoch is 53, the whole loss is 0.626439
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 344
wer is 0.16912
sacc is 0.37229 
whole loss is 87.86213
the best is 0.377706
the loss is bigger than before,so do not save the model
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.548617
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.059196
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.406962
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.060893
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.071139
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.048188
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.581351
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.024612
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.019054
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.074903
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 3.579896
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.055126
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.420862
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.825992
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.038761
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.549887
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.060438
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.047059
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.055080
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.494981
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.041135
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.083383
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.089936
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.537953
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 2.151574
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.579877
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.061817
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.682583
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.112904
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.057296
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.078337
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.460374
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.073468
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.085730
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.036847
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.860557
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.045325
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.078009
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.054125
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.108475
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.089124
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.030267
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.797418
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.614326
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.023367
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.096117
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 3.002885
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.039806
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.079496
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.039265
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.035698
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.069372
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.130642
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.026223
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.039482
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.890053
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.102692
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.131894
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.058374
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.061579
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.040384
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.055212
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.110647
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.071094
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.387391
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.050437
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.057076
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.898725
epoch is 54, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.047893
epoch is 54, the whole loss is 0.608393
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 335
wer is 0.17723
sacc is 0.36255 
whole loss is 91.71272
the best is 0.377706
the loss is bigger than before,so do not save the model
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.031621
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.043228
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.482922
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.061719
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.320980
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.039461
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.055741
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.154325
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.036528
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.216668
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.454577
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.896475
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.110252
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.066230
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.056767
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.059293
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 3.075450
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 1.383053
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.037678
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.093987
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.053814
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.734292
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.317412
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.036966
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.680211
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.044993
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.041918
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 3.110224
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.593528
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.149543
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.038300
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.038648
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.087638
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 2.968077
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.051083
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.665351
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.312476
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.067596
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.053384
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.045703
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.091475
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.062123
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.037441
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.052917
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 1.012872
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.835213
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.050663
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.864176
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.022387
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.060904
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.042782
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.060317
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.089674
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.013926
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.025839
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.846965
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.079369
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.850471
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.541686
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.062870
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.062235
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.445359
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.051162
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.077999
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.048416
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.040818
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.065543
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.050915
epoch is 55, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.040405
epoch is 55, the whole loss is 0.608040
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 335
wer is 0.18156
sacc is 0.36255 
whole loss is 94.99810
the best is 0.377706
the loss is bigger than before,so do not save the model
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.088227
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.108652
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.051515
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.421861
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.036809
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.035152
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.072961
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.080951
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.419641
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.047520
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.526536
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.032404
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.053613
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.055547
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 1.188153
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.077382
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.976576
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 1.477325
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.027019
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.779753
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.063443
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.979728
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.056944
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.043156
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.060694
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.201000
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.058499
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.756452
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.034719
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.038861
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.026592
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.872298
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.062227
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.030011
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.226368
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.388812
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.822820
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 2.064103
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.046536
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.396225
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.355603
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.068550
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.872443
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.070403
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.085595
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.619318
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.053666
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.086733
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.219826
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.057905
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.051233
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.035615
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.081675
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.127766
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.059221
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.046095
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.595326
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.051864
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.068903
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.114870
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.077194
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.050941
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 2.659432
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.026772
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.422108
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.045118
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.081476
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.036844
epoch is 56, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.021873
epoch is 56, the whole loss is 0.573247
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 322
wer is 0.18549
sacc is 0.34848 
whole loss is 93.57253
the best is 0.377706
the loss is bigger than before,so do not save the model
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.396132
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.044621
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.440717
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.054863
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.042611
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.059679
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.041972
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.035714
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.052118
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.039356
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.194851
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.705766
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.067554
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.581158
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.933527
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.497381
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.112320
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.031956
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.129274
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.034950
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.030021
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.506536
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.052001
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.066257
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.037003
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.487629
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.186855
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.491864
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.029048
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.054813
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.303309
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.969748
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.060715
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.028068
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.043917
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.052749
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.027615
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.030345
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.058676
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.038241
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.102917
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.088892
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.113880
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.561135
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.027352
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.005141
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.030948
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.083519
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.668460
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.103207
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.701262
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 4.901687
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.062118
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.349145
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.036300
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.030724
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.044735
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.040383
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 2.101887
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.077467
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.028850
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.066591
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.087712
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.045174
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.030425
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.991232
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.058409
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.034599
epoch is 57, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.041817
epoch is 57, the whole loss is 0.539317
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 351
wer is 0.16935
sacc is 0.37987 
whole loss is 86.43561
0.37987012987012986
saving the model....
encoder_lr0.00001_BN_te1_d05_SGD_bs8_mask_conv_bn_b.pkl
done
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.425522
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.030251
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.013175
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.145094
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.021403
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.797406
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.048144
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.019783
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.027039
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.316231
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.084938
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.040041
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 2.303141
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.024282
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.028262
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.085164
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.036188
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.089090
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.032828
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.052942
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.045940
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.062989
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.028295
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 2.248636
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.066858
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 2.668401
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.494561
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.050570
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.051456
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.347676
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.059519
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.032832
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.273204
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.192024
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.054618
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.028513
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.034635
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.033871
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 1.297065
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.053058
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.047159
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.338911
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.507752
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.055505
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.029837
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.085422
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.354128
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.010176
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.085059
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 2.169255
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.044744
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.031430
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.042235
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.027267
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.060996
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.032183
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.030739
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 2.623135
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.221584
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.510246
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.023323
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.053378
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.279917
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.064819
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.397624
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 2.254331
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.090542
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.056104
epoch is 58, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.225209
epoch is 58, the whole loss is 0.567034
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 336
wer is 0.17222
sacc is 0.36364 
whole loss is 90.49199
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.030530
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.070955
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.039856
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.989333
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.039978
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.148641
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.077696
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.033541
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.159814
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.070528
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.064200
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.077479
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 2.152497
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.041960
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.036772
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 1.438706
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.049895
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.112225
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.029905
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.017957
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.046666
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.350330
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.184864
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.088922
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.057168
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.042212
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.323971
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.036667
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 3.749290
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.478034
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.033821
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.049100
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.054615
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.329543
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.052083
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.058563
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.043447
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.048184
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.048721
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.031682
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.259311
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.060474
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 2.073796
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.052483
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.785550
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.046703
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.079191
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.062319
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.041764
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.077935
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.045345
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.040614
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.098265
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.039833
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 4.525525
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.119314
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 1.790533
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.033522
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.048891
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.081378
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.045304
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.037648
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.049375
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.961109
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.045906
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.108729
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.994236
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.037707
epoch is 59, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.180515
epoch is 59, the whole loss is 0.511262
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 343
wer is 0.16545
sacc is 0.37121 
whole loss is 85.93958
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.044009
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.053295
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.063272
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.322232
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.883548
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.025622
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.104442
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.029280
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.834624
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.028927
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.300613
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.052856
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 3.127143
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.031077
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.108224
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.052923
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.023555
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.052237
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.438076
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.026408
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.054667
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 1.231381
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.024046
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.451454
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.106388
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.054043
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.056453
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 2.890726
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.047616
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.039200
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.558256
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.570381
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.043677
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.062412
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 2.680191
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.046431
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.018632
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.861972
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.063339
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.025298
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.033616
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.056227
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.721980
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.086612
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.059837
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.091854
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.052344
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.062402
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.066434
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.020300
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 2.894640
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.032197
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.032666
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.054688
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.037231
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.333896
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.028602
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 1.186064
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.529386
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.026552
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.048637
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.045882
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.927257
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.055547
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.053568
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.029468
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.048797
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.353588
epoch is 60, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.317042
epoch is 60, the whole loss is 0.556663
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 337
wer is 0.17600
sacc is 0.36472 
whole loss is 90.81524
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.048281
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.843516
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.059375
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.046847
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.127290
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.041756
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.036008
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.352966
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.069291
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.038027
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.040858
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.435309
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 3.352520
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.025505
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 1.454729
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.043260
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.022325
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.090399
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.025048
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.049006
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.069144
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.032245
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.268699
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.344849
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.043698
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.090629
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.581364
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.071706
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.403902
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.000522
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.113433
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.060350
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.385025
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 3.542696
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.046577
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.021172
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.059919
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.107813
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.027296
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.043977
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.041692
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.048045
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.053360
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.342255
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.034075
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.046819
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.678009
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.028076
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.023939
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.066453
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.033783
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.038638
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.039016
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 2.305018
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.864425
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.074617
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.712108
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.057068
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.021287
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.026703
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.046796
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 1.364221
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.316290
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.044252
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.252591
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.079119
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.039992
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 1.094194
epoch is 61, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.615790
epoch is 61, the whole loss is 0.587237
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 340
wer is 0.17165
sacc is 0.36797 
whole loss is 91.64014
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 4.192929
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.028445
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.062411
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.527670
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.042539
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.034040
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.673161
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.127432
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.061259
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.041497
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.706785
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.371307
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.068348
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.029644
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.029599
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.044809
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.063385
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.039395
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 4.020242
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.075689
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.983018
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.031872
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.069403
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.947121
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.039515
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.051022
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.077565
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.087133
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.105007
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.072507
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.075351
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.063571
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.341752
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.033353
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.057095
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.040533
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.117939
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 2.565931
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.039452
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.023597
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.081351
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.320426
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.286371
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 1.834683
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.050022
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.065528
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.041261
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.262900
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.469487
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.269607
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.039825
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.065673
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.466982
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.035902
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.053163
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.030873
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 1.514230
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.030799
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.038761
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.024609
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.055095
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.023955
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.028001
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 2.619976
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.039241
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.027153
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 1.575949
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.027666
epoch is 62, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.032204
epoch is 62, the whole loss is 0.552339
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 297
wer is 0.22182
sacc is 0.32143 
whole loss is 102.08963
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.028176
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.088518
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.021620
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.039202
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.066921
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.034433
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.367819
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.026590
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.042247
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.025307
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.032092
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.195563
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.023885
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 2.494935
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.043979
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.034763
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.030651
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 1.493436
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 1.194671
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.175671
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.030849
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.037786
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 2.556053
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.055155
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.038004
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.241087
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 1.457981
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.055829
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.595006
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 1.498480
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.320828
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 1.532540
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.049598
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.029710
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.747436
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 1.664553
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.024010
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.041665
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.062406
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.033284
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.059273
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.037400
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.964635
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.092592
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.038093
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 3.112644
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.037397
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.039729
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.381484
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.033891
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.032511
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.519919
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.864677
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.042807
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.027970
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.062051
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.024242
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.041404
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.084517
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.024157
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.042110
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.087686
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.052692
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.061613
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.039527
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.034181
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.048698
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.053350
epoch is 63, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.030875
epoch is 63, the whole loss is 0.552768
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 331
wer is 0.17806
sacc is 0.35823 
whole loss is 90.07007
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.035628
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.057561
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.109490
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.589329
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.117500
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 4.272311
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.052836
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.055494
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.053124
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.049028
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.069231
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.024449
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.055787
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 1.322503
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.038929
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.022476
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.095011
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.040127
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.037987
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.044048
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.057918
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.068866
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.018494
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.051981
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.063125
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.095202
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.957540
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.529626
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.040047
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 2.022994
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.102166
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.040250
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.295620
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.038138
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.047199
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.026594
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.176183
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 1.641618
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.042931
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.042027
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.136962
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.038026
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.064045
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.053539
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.046010
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.639637
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.044084
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.746314
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.055547
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.020425
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.043247
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.088197
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.648328
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 2.072324
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.022464
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.092512
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.120645
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.031416
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.048668
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.039569
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.662485
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.031222
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 2.724825
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.754337
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.037587
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.724714
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.068755
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.079217
epoch is 64, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.045305
epoch is 64, the whole loss is 0.584019
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 321
wer is 0.18823
sacc is 0.34740 
whole loss is 95.82595
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.280692
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.051898
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.103701
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.025299
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 2.560475
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.026208
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 1.747585
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.901976
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.043860
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.828506
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 3.578188
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.091795
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.049669
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.038175
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.028156
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.038704
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 1.449656
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.025700
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.058771
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.028453
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.026718
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.021157
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.318720
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.026649
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.147614
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.020235
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.608383
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.026581
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.047140
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.086498
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.048502
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.030904
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.033413
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.048568
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.020862
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.128390
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.263638
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.046589
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.035992
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.028437
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.019562
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 3.050617
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.032030
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.790513
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.017779
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.027571
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.018418
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.058709
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.065698
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.129879
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.728451
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 2.549603
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.087336
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.029691
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.038767
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.035579
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.066513
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.034841
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.519371
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.027872
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.031052
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.040435
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.600082
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.429832
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 1.363937
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.019891
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.047360
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.062667
epoch is 65, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.062982
epoch is 65, the whole loss is 0.530582
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 341
wer is 0.16524
sacc is 0.36905 
whole loss is 86.61102
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.034416
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.027446
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.737387
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 1.345186
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.054231
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.987067
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.035469
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 1.312202
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.017420
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.025391
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 1.041625
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.056069
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.056510
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.071512
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.027726
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 2.889718
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.043557
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.106982
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.015549
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 1.837040
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 0.031129
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.009556
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.446010
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.372874
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 0.024373
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.039568
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.026825
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.888929
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.031567
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.747528
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.061775
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.066722
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 1.730169
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 1.401468
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.025880
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.029715
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.087388
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 3.123952
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 1.973770
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.029422
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.063595
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.020828
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.095375
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.049382
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.025295
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.085281
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.521207
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.036005
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.024042
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.397898
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 1.131413
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.053716
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.873422
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 1.461967
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.041121
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.149320
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 1.332816
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.042961
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.034902
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.042179
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.022811
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.049248
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.031661
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.022640
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.026307
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.034171
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.027213
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.061312
epoch is 66, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.433490
epoch is 66, the whole loss is 0.560776
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 318
wer is 0.19340
sacc is 0.34416 
whole loss is 99.86061
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 1.054335
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.048857
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.018222
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.045998
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 0.041207
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.043393
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.034199
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.037305
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.022851
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 3.822870
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.035665
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 1.459662
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.033190
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.023139
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.064688
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.046891
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.039532
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.026661
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.068406
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.057817
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.008561
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.020016
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 0.028437
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.083772
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.882284
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.054374
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 2.983694
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 1.412211
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.022454
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.064008
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.054680
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.039561
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.034690
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.044705
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 0.021627
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.021991
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.061987
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.039918
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.025081
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.648808
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 1.728381
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.975247
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.017107
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.022723
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.660507
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.029235
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.078299
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.054176
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 1.348288
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.021238
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.028713
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.025004
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 1.868655
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.057841
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.275955
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.038830
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 2.927793
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 1.442929
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.498499
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.033702
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.226369
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.050904
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 0.015731
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.069001
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.032007
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 1.948321
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.965475
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.022427
epoch is 67, lr rate is 0.00001, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 1.781296
epoch is 67, the whole loss is 0.557326
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 345
wer is 0.17080
sacc is 0.37338 
whole loss is 89.00806
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.031318
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 0.046569
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 2.679731
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.030368
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.219995
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.033766
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.038758
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.036820
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.026059
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 1.346127
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 2.234829
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.021576
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.041558
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.026571
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.043999
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.058299
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.061679
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.047191
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.045553
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.043782
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.597095
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.053352
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.110669
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 0.024314
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.309177
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 1.525362
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.017756
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 0.032545
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 1.381496
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.017285
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 0.057591
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.046344
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.026744
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.038980
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 2.725043
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 2.568181
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 0.023324
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.100940
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 1.053399
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 1.425434
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.025880
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 1.168633
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 1.507922
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.032168
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.050686
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 1.424545
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 1.064649
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 1.533341
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.038840
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 0.057111
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 3.732382
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.032942
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.081760
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.033911
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 0.057337
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 1.661870
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.018959
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.040477
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 0.032572
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 1.593130
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 0.051341
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.032461
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.080591
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 0.030448
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 2.747715
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.075539
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.041699
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.020498
epoch is 68, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 0.094961
epoch is 68, the whole loss is 0.597401
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 331
wer is 0.18496
sacc is 0.35823 
whole loss is 96.90503
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.050655
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.440633
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 0.041247
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.036591
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 3.060530
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 0.044492
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 3.278712
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.028932
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 0.031129
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.925740
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.033492
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.020697
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 0.022133
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.035200
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 21.534%, running_loss is 0.017997
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 22.969%, running_loss is 0.056704
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 24.405%, running_loss is 0.041291
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 25.840%, running_loss is 0.025266
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 27.276%, running_loss is 0.925192
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 28.712%, running_loss is 0.030915
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 30.147%, running_loss is 1.690119
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 31.583%, running_loss is 0.026289
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 33.018%, running_loss is 1.054501
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 34.454%, running_loss is 1.710753
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 35.889%, running_loss is 1.368255
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 37.325%, running_loss is 0.035760
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 38.761%, running_loss is 0.028684
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 40.196%, running_loss is 3.081526
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 41.632%, running_loss is 0.030759
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 43.067%, running_loss is 0.034000
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 44.503%, running_loss is 1.248037
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 45.939%, running_loss is 0.051751
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 47.374%, running_loss is 0.023272
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 48.810%, running_loss is 0.060060
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 50.245%, running_loss is 1.374970
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 51.681%, running_loss is 0.027078
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 53.116%, running_loss is 1.299915
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 54.552%, running_loss is 0.062841
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 55.988%, running_loss is 0.020480
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 57.423%, running_loss is 0.039893
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 58.859%, running_loss is 0.850703
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 60.294%, running_loss is 0.015436
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 61.730%, running_loss is 0.068945
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 63.165%, running_loss is 0.061356
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 64.601%, running_loss is 0.686238
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 66.037%, running_loss is 0.051694
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 67.472%, running_loss is 0.047694
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 68.908%, running_loss is 0.019330
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 70.343%, running_loss is 0.057144
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 71.779%, running_loss is 1.416807
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 73.214%, running_loss is 0.048887
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 74.650%, running_loss is 0.087170
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 76.086%, running_loss is 0.037103
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 77.521%, running_loss is 0.040219
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 78.957%, running_loss is 1.574760
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 80.392%, running_loss is 0.031988
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 81.828%, running_loss is 0.070888
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 83.264%, running_loss is 0.042520
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 84.699%, running_loss is 1.999683
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 86.135%, running_loss is 0.038072
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 87.570%, running_loss is 1.358647
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 89.006%, running_loss is 0.030996
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 90.441%, running_loss is 1.909782
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 91.877%, running_loss is 1.239050
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 93.313%, running_loss is 0.033105
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 94.748%, running_loss is 0.050048
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 96.184%, running_loss is 0.014984
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 97.619%, running_loss is 0.019095
epoch is 69, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 99.055%, running_loss is 5.174572
epoch is 69, the whole loss is 0.581315
Now, begin testing!!
testing for 0.000%
testing for 0.649%
testing for 1.297%
testing for 1.946%
testing for 2.595%
testing for 3.243%
testing for 3.892%
testing for 4.541%
testing for 5.189%
testing for 5.838%
testing for 6.486%
testing for 7.135%
testing for 7.784%
testing for 8.432%
testing for 9.081%
testing for 9.730%
testing for 10.378%
testing for 11.027%
testing for 11.676%
testing for 12.324%
testing for 12.973%
testing for 13.622%
testing for 14.270%
testing for 14.919%
testing for 15.568%
testing for 16.216%
testing for 16.865%
testing for 17.514%
testing for 18.162%
testing for 18.811%
testing for 19.459%
testing for 20.108%
testing for 20.757%
testing for 21.405%
testing for 22.054%
testing for 22.703%
testing for 23.351%
testing for 24.000%
testing for 24.649%
testing for 25.297%
testing for 25.946%
testing for 26.595%
testing for 27.243%
testing for 27.892%
testing for 28.541%
testing for 29.189%
testing for 29.838%
testing for 30.486%
testing for 31.135%
testing for 31.784%
testing for 32.432%
testing for 33.081%
testing for 33.730%
testing for 34.378%
testing for 35.027%
testing for 35.676%
testing for 36.324%
testing for 36.973%
testing for 37.622%
testing for 38.270%
testing for 38.919%
testing for 39.568%
testing for 40.216%
testing for 40.865%
testing for 41.514%
testing for 42.162%
testing for 42.811%
testing for 43.459%
testing for 44.108%
testing for 44.757%
testing for 45.405%
testing for 46.054%
testing for 46.703%
testing for 47.351%
testing for 48.000%
testing for 48.649%
testing for 49.297%
testing for 49.946%
testing for 50.595%
testing for 51.243%
testing for 51.892%
testing for 52.541%
testing for 53.189%
testing for 53.838%
testing for 54.486%
testing for 55.135%
testing for 55.784%
testing for 56.432%
testing for 57.081%
testing for 57.730%
testing for 58.378%
testing for 59.027%
testing for 59.676%
testing for 60.324%
testing for 60.973%
testing for 61.622%
testing for 62.270%
testing for 62.919%
testing for 63.568%
testing for 64.216%
testing for 64.865%
testing for 65.514%
testing for 66.162%
testing for 66.811%
testing for 67.459%
testing for 68.108%
testing for 68.757%
testing for 69.405%
testing for 70.054%
testing for 70.703%
testing for 71.351%
testing for 72.000%
testing for 72.649%
testing for 73.297%
testing for 73.946%
testing for 74.595%
testing for 75.243%
testing for 75.892%
testing for 76.541%
testing for 77.189%
testing for 77.838%
testing for 78.486%
testing for 79.135%
testing for 79.784%
testing for 80.432%
testing for 81.081%
testing for 81.730%
testing for 82.378%
testing for 83.027%
testing for 83.676%
testing for 84.324%
testing for 84.973%
testing for 85.622%
testing for 86.270%
testing for 86.919%
testing for 87.568%
testing for 88.216%
testing for 88.865%
testing for 89.514%
testing for 90.162%
testing for 90.811%
testing for 91.459%
testing for 92.108%
testing for 92.757%
testing for 93.405%
testing for 94.054%
testing for 94.703%
testing for 95.351%
testing for 96.000%
testing for 96.649%
testing for 97.297%
testing for 97.946%
testing for 98.595%
testing for 99.243%
total_line_rec is 342
wer is 0.17480
sacc is 0.37013 
whole loss is 89.58695
the best is 0.379870
the loss is bigger than before,so do not save the model
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 1.436%, running_loss is 0.027383
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 2.871%, running_loss is 1.951180
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 4.307%, running_loss is 1.409653
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 5.742%, running_loss is 0.024983
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 7.178%, running_loss is 1.305889
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 8.613%, running_loss is 1.438741
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 10.049%, running_loss is 0.038385
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 11.485%, running_loss is 0.033599
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 12.920%, running_loss is 1.251637
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 14.356%, running_loss is 0.050293
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 15.791%, running_loss is 0.036071
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 17.227%, running_loss is 0.026191
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 18.663%, running_loss is 1.577312
epoch is 70, lr rate is 0.00000, te is 1.000, batch_size is 6, loading for 20.098%, running_loss is 0.039771