support finetuning with redpajama models

.gitignore

@@ -135,7 +135,10 @@ dmypy.json
 /pretrained/GPT-NeoX-20B/EleutherAI_gpt-neox-20b/
 /pretrained/Pythia-6.9B-deduped/EleutherAI_pythia-6.9b-deduped/
 /pretrained/RedPajama-3B/
+
 # ignore training output
 /model_ckpts/
 /huggingface_models/
 /training/wandb/
+
+*.jsonl

data/OIG-chip2/prepare.sh

@@ -0,0 +1 @@
+wget https://huggingface.co/datasets/laion/OIG/resolve/main/unified_chip2.jsonl -O data/OIG-chip2/unified_chip2.jsonl

training/finetune_RedPajama-INCITE-Chat-3B-v1.sh

@@ -0,0 +1,56 @@
+DIR=$(cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd)
+
+netif=lo
+export GLOO_SOCKET_IFNAME=${netif}
+export NCCL_SOCKET_IFNAME=${netif}
+export MODEL_NAME=rp-incite-chat-3b-fintuned
+
+export SHOW_DATA=0
+
+BASE_MODEL="${DIR}/../pretrained/RedPajama-3B/togethercomputer_RedPajama-INCITE-Chat-3B-v1"
+
+CHECKPOINT_STEPS=100
+
+DATASETS="${DIR}/../data/OIG-chip2/unified_chip2.jsonl:1"
+
+ARGS="--model-name ${BASE_MODEL} \
+--tokenizer-name ${BASE_MODEL} \
+--project-name together \
+--model-type gptneox \
+--optimizer adam \
+--seed 42 \
+--load-pretrained-model true \
+--task-name \
+"${DATASETS}" \
+--checkpoint-path ${DIR}/../model_ckpts/${MODEL_NAME} \
+--total-steps 200 --warmup-steps 10 --train-warmup-steps 0 \
+--checkpoint-steps ${CHECKPOINT_STEPS} \
+--lr 1e-5 --seq-length 2048 --batch-size 32 --micro-batch-size 1 --gradient-accumulate-step 1 \
+--dist-url tcp://127.0.0.1:7033 \
+--num-layers 8 --embedding-dim 2560 \
+--world-size 8 --pipeline-group-size 4 --data-group-size 2 \
+--job-id 0 --net-interface ${netif} \
+--fp16 \
+--dp-backend nccl \
+--dp-mode allreduce \
+--pp-mode gpipe --profiling no-profiling"
+
+
+(trap 'kill 0' SIGINT; \
+python ${DIR}/dist_clm_train.py $(echo ${ARGS}) --cuda-id 0 --rank 0 \
+    & \
+python ${DIR}/dist_clm_train.py $(echo ${ARGS}) --cuda-id 1 --rank 1 \
+    & \
+python ${DIR}/dist_clm_train.py $(echo ${ARGS}) --cuda-id 2 --rank 2 \
+    & \
+python ${DIR}/dist_clm_train.py $(echo ${ARGS}) --cuda-id 3 --rank 3 \
+    & \
+python ${DIR}/dist_clm_train.py $(echo ${ARGS}) --cuda-id 4 --rank 4 \
+    & \
+python ${DIR}/dist_clm_train.py $(echo ${ARGS}) --cuda-id 5 --rank 5 \
+    & \
+python ${DIR}/dist_clm_train.py $(echo ${ARGS}) --cuda-id 6 --rank 6 \
+    & \
+python ${DIR}/dist_clm_train.py $(echo ${ARGS}) --cuda-id 7 --rank 7 \
+    & \
+wait)