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']" # For async rollout mode, dataset should return raw chat. 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 $@