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d20c8ffd97
* add grpo, support rlvr * add grpo, support rlvr * tested deepseek r1 pipeline * add ci * verify grpo r1 * verify grpo r1 * update readme, remove unused code * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove path * clean code * fix circular import * fix ci OOM * fix ci OOM * skip kto tp, fix qwen generation --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
87 lines
2.9 KiB
Bash
Executable File
87 lines
2.9 KiB
Bash
Executable File
#!/bin/bash
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set_n_least_used_CUDA_VISIBLE_DEVICES() {
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local n=${1:-"9999"}
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echo "GPU Memory Usage:"
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local FIRST_N_GPU_IDS=$(nvidia-smi --query-gpu=memory.used --format=csv |
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tail -n +2 |
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nl -v 0 |
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tee /dev/tty |
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sort -g -k 2 |
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awk '{print $1}' |
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head -n $n)
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export CUDA_VISIBLE_DEVICES=$(echo $FIRST_N_GPU_IDS | sed 's/ /,/g')
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echo "Now CUDA_VISIBLE_DEVICES is set to:"
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echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"
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}
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set_n_least_used_CUDA_VISIBLE_DEVICES 8
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PROJECT_NAME="PPO-RLVR"
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PARENT_SAVE_DIR="" # Path to a folder to save checkpoints
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PARENT_CONFIG_FILE="" # Path to a folder to save training config logs
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PRETRAINED_MODEL_PATH="" # local pretrained model path (from RLHF step 1: SFT)
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PRETRAINED_TOKENIZER_PATH="" # huggingface or local tokenizer path
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CONVERSATION_TEMPLATE_CONFIG_PATH="" # path to the conversation config file
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LOGDIR=""
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declare -a prompt_dataset=(
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YOUR/PROMPT/DATA/DIR/arrow/part-00000
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YOUR/PROMPT/DATA/DIR/arrow/part-00001
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YOUR/PROMPT/DATA/DIR/arrow/part-00002
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YOUR/PROMPT/DATA/DIR/arrow/part-00003
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YOUR/PROMPT/DATA/DIR/arrow/part-00004
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YOUR/PROMPT/DATA/DIR/arrow/part-00005
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YOUR/PROMPT/DATA/DIR/arrow/part-00006
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YOUR/PROMPT/DATA/DIR/arrow/part-00007
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YOUR/PROMPT/DATA/DIR/arrow/part-00008
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YOUR/PROMPT/DATA/DIR/arrow/part-00009
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)
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declare -a ptx_dataset=(
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YOUR/SFT/DATA/DIR/arrow/part-00000
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YOUR/SFT/DATA/DIR/arrow/part-00001
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YOUR/SFT/DATA/DIR/arrow/part-00002
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YOUR/SFT/DATA/DIR/arrow/part-00003
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YOUR/SFT/DATA/DIR/arrow/part-00004
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YOUR/SFT/DATA/DIR/arrow/part-00005
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YOUR/SFT/DATA/DIR/arrow/part-00006
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YOUR/SFT/DATA/DIR/arrow/part-00007
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YOUR/SFT/DATA/DIR/arrow/part-00008
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YOUR/SFT/DATA/DIR/arrow/part-00009
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)
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TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
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FULL_PROJECT_NAME="${PROJECT_NAME}-${TIMESTAMP}"
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SAVE_DIR="${PARENT_SAVE_DIR}${FULL_PROJECT_NAME}"
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CONFIG_FILE="${PARENT_CONFIG_FILE}${FULL_PROJECT_NAME}.json"
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colossalai run --nproc_per_node 8 --num_nodes 1 --hostfile ./hostfile train_grpo.py \
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--pretrain $PRETRAINED_MODEL_PATH \
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--tokenizer_dir $PRETRAINED_TOKENIZER_PATH \
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--prompt_dataset ${prompt_dataset[@]} \
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--conversation_template_config $CONVERSATION_TEMPLATE_CONFIG_PATH \
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--ptx_coef 0.0 \
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--plugin "zero2_cpu" \
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--reward_functions math_competition_reward_fn \
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--save_interval 250 \
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--save_path $SAVE_DIR \
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--num_episodes 100 \
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--num_collect_steps 8 \
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--num_update_steps 1 \
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--experience_batch_size 1 \
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--train_batch_size 4 \
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--inference_batch_size 8 \
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--logits_forward_batch_size 2 \
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--accumulation_steps 4 \
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--lr 1e-6 \
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--mixed_precision "bf16" \
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--grad_clip 0.1\
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--weight_decay 0.01 \
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--kl_coef 0.01 \
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--warmup_steps 40 \
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--max_length 2000 \
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--max_seq_len 1700 \
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--log_dir $LOGDIR \
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--use_flash_attn \
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--grad_checkpoint
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