use checkpoints for real

bin/run-ci-lm-opt.sh

@@ -16,16 +16,15 @@ LM_NUM_TRIALS=1
 scorer_filepath="./data/smoke_test/pruned_lm.scorer"
 test_filepath="./data/smoke_test/ldc93s1_flac.csv"
 
-checkpoint_dirpath="./data"
-mkdir -p checkpoint_dirpath
+checkpoint_dir="${HOME}/.local/share/stt/ldc93s1"
+
 # Force only one visible device because we have a single-sample dataset
 # and when trying to run on multiple devices (like GPUs), this will break
-
 export CUDA_VISIBLE_DEVICES=0
 
 python -m coqui_stt_training.util.lm_optimize \
         --scorer_path $scorer_filepath \
-        --checkpoint_dir "$checkpoint_dirpath" \
+        --checkpoint_dir "$checkpoint_dir" \
         --test_files $test_filepath \
         --n_trials $LM_NUM_TRIALS \
         --lm_alpha_max ${LM_ALPHA_MAX} \