| set -x |
|
|
| gsm8k_train_path=$HOME/data/gsm8k/train.parquet |
| gsm8k_test_path=$HOME/data/gsm8k/test.parquet |
| math_train_path=$HOME/data/math/train.parquet |
| math_test_path=$HOME/data/math/test.parquet |
|
|
| train_files="['$gsm8k_train_path', '$math_train_path']" |
| test_files="['$gsm8k_test_path', '$math_test_path']" |
|
|
| |
| rollout_mode="sync" |
| if [ "$rollout_mode" = "async" ]; then |
| return_raw_chat="True" |
| fi |
|
|
| python3 -m verl.trainer.main_ppo \ |
| algorithm.adv_estimator=gae \ |
| data.train_files="$train_files" \ |
| data.val_files="$test_files" \ |
| data.return_raw_chat=$return_raw_chat \ |
| data.train_batch_size=4096 \ |
| data.max_prompt_length=4096 \ |
| data.max_response_length=4096 \ |
| data.filter_overlong_prompts=True \ |
| data.truncation='error' \ |
| actor_rollout_ref.model.path=Qwen/Qwen2-7B-Instruct \ |
| actor_rollout_ref.actor.optim.lr=1e-6 \ |
| actor_rollout_ref.model.use_remove_padding=True \ |
| actor_rollout_ref.model.enable_gradient_checkpointing=True \ |
| actor_rollout_ref.actor.ppo_mini_batch_size=512 \ |
| actor_rollout_ref.actor.use_dynamic_bsz=True \ |
| actor_rollout_ref.actor.ppo_max_token_len_per_gpu=24000 \ |
| actor_rollout_ref.actor.fsdp_config.param_offload=False \ |
| actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \ |
| actor_rollout_ref.actor.use_kl_loss=False \ |
| actor_rollout_ref.rollout.tensor_model_parallel_size=2 \ |
| actor_rollout_ref.rollout.name=vllm \ |
| actor_rollout_ref.rollout.mode=$rollout_mode \ |
| actor_rollout_ref.rollout.multi_turn.format=hermes \ |
| actor_rollout_ref.rollout.gpu_memory_utilization=0.5 \ |
| actor_rollout_ref.rollout.log_prob_max_token_len_per_gpu=24000 \ |
| critic.optim.lr=1e-5 \ |
| critic.model.use_remove_padding=True \ |
| critic.model.path=Qwen/Qwen2-7B-Instruct \ |
| critic.model.enable_gradient_checkpointing=True \ |
| critic.ppo_max_token_len_per_gpu=98304 \ |
| critic.model.fsdp_config.param_offload=False \ |
| critic.model.fsdp_config.optimizer_offload=False \ |
| algorithm.use_kl_in_reward=False \ |
| trainer.critic_warmup=0 \ |
| trainer.logger='["console","wandb"]' \ |
| trainer.project_name='verl_example_gsm8k' \ |
| trainer.experiment_name='qwen2-7b_function_rm_bsz8k_p4k_r4k_seq_packing' \ |
| trainer.n_gpus_per_node=8 \ |
| trainer.val_before_train=False \ |
| trainer.nnodes=1 \ |
| trainer.save_freq=20 \ |
| trainer.test_freq=5 \ |
| trainer.total_epochs=15 $@ |
|
|
