File size: 1,427 Bytes
cb2428f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
# A800 * 8
# pip install lmdeploy==0.7.1
# exp link: https://wandb.ai/tastelikefeet/grpo_perf_test?nw=nwuseryuzezyz
# In exp no `--system 'examples/train/grpo/prompt.txt'`, so the format reward is not correct and there are speed diffs with this script
# important args: --num_infer_workers 2 --num_iterations 2 --use_lmdeploy true --async_generate true
# if forward/backward error: pip install deepspeed==0.14.5
# and change deepspeed zero3.json stage3_prefetch_bucket_size=0
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
NPROC_PER_NODE=6 \
swift rlhf \
--rlhf_type grpo \
--model Qwen/Qwen2.5-7B \
--reward_funcs accuracy format \
--use_lmdeploy true \
--train_type full \
--torch_dtype bfloat16 \
--dataset AI-MO/NuminaMath-TIR#5000 \
--max_completion_length 1536 \
--num_train_epochs 1 \
--per_device_train_batch_size 10 \
--per_device_eval_batch_size 10 \
--learning_rate 1e-6 \
--eval_steps 1000 \
--save_steps 1000 \
--save_total_limit 2 \
--logging_steps 5 \
--max_length 2048 \
--output_dir output \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--dataset_num_proc 4 \
--num_generations 60 \
--temperature 1.0 \
--top_p 0.9 \
--top_k 50 \
--async_generate true \
--system 'examples/train/grpo/prompt.txt' \
--deepspeed zero3 \
--log_completions true \
--num_iterations 2 \
--num_infer_workers 2 \
|