| # Tested with 2 & 4 GPUs | |
| set -x | |
| torchrun --standalone --nnodes=1 --nproc_per_node=8 \ | |
| -m verl.trainer.fsdp_sft_trainer \ | |
| data.train_files=$HOME/data/gsm8k/train.parquet \ | |
| data.val_files=$HOME/data/gsm8k/test.parquet \ | |
| data.prompt_key=extra_info \ | |
| data.response_key=extra_info \ | |
| +data.prompt_dict_keys=['question'] \ | |
| +data.response_dict_keys=['answer'] \ | |
| data.micro_batch_size_per_gpu=32 \ | |
| model.partial_pretrain=Qwen/Qwen2.5-0.5B-Instruct \ | |
| trainer.default_local_dir=$HOME/ckpts/ \ | |
| trainer.project_name=qwen2.5-sft \ | |
| trainer.experiment_name=gsm8k-sft-gemma-2b-it \ | |
| trainer.total_training_steps=1 \ | |
| trainer.logger=['console'] \ | |
| trainer.default_hdfs_dir=null $@ | |
| rm -rf $HOME/ckpts/ |