| set -x |
|
|
| project_name='GRPO-Qwen3' |
| exp_name='GRPO-Qwen3-8B-npu' |
| gen_tp=2 |
| RAY_DATA_HOME=${RAY_DATA_HOME:-"${HOME}/verl"} |
| MODEL_PATH=${MODEL_PATH:-"${RAY_DATA_HOME}/models/Qwen3-8B"} |
| CKPTS_DIR=${CKPTS_DIR:-"${RAY_DATA_HOME}/ckpts/${project_name}/${exp_name}"} |
| TRAIN_FILE=${TRAIN_FILE:-"${RAY_DATA_HOME}/data/dapo-math-17k.parquet"} |
| TEST_FILE=${TEST_FILE:-"${RAY_DATA_HOME}/data/aime-2024.parquet"} |
|
|
| python3 -m verl.trainer.main_ppo \ |
| algorithm.adv_estimator=grpo \ |
| data.train_files="${TRAIN_FILE}" \ |
| data.val_files="${TEST_FILE}" \ |
| data.train_batch_size=256 \ |
| data.max_prompt_length=512 \ |
| data.max_response_length=1024 \ |
| data.filter_overlong_prompts=True \ |
| data.truncation='error' \ |
| actor_rollout_ref.model.path=${MODEL_PATH} \ |
| actor_rollout_ref.actor.optim.lr=1e-6 \ |
| actor_rollout_ref.model.use_remove_padding=True \ |
| actor_rollout_ref.actor.ppo_mini_batch_size=64 \ |
| actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=10 \ |
| actor_rollout_ref.actor.use_kl_loss=True \ |
| actor_rollout_ref.actor.kl_loss_coef=0.001 \ |
| actor_rollout_ref.actor.kl_loss_type=low_var_kl \ |
| actor_rollout_ref.actor.entropy_coeff=0 \ |
| actor_rollout_ref.actor.use_torch_compile=False \ |
| actor_rollout_ref.ref.use_torch_compile=False \ |
| actor_rollout_ref.model.enable_gradient_checkpointing=True \ |
| actor_rollout_ref.actor.fsdp_config.param_offload=False \ |
| actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \ |
| actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32 \ |
| actor_rollout_ref.rollout.tensor_model_parallel_size=${gen_tp} \ |
| actor_rollout_ref.rollout.name=vllm \ |
| actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \ |
| actor_rollout_ref.rollout.n=5 \ |
| actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32 \ |
| actor_rollout_ref.ref.fsdp_config.param_offload=True \ |
| algorithm.use_kl_in_reward=False \ |
| trainer.critic_warmup=0 \ |
| trainer.logger='["console","wandb"]' \ |
| trainer.project_name="${project_name}" \ |
| trainer.experiment_name="${exp_name}" \ |
| trainer.n_gpus_per_node=8 \ |
| trainer.nnodes=1 \ |
| trainer.default_local_dir=${CKPTS_DIR} \ |
| trainer.device=npu \ |
| trainer.resume_mode=auto \ |
| actor_rollout_ref.actor.fsdp_config.forward_prefetch=True \ |
| actor_rollout_ref.ref.fsdp_config.forward_prefetch=True \ |
| ++actor_rollout_ref.actor.entropy_from_logits_with_chunking=True \ |
| ++actor_rollout_ref.ref.entropy_from_logits_with_chunking=True \ |
| trainer.val_before_train=True \ |
| trainer.save_freq=5 \ |
| trainer.test_freq=5 \ |
| trainer.total_epochs=15 |
