| |
| set -x |
|
|
| unset PYTORCH_CUDA_ALLOC_CONF |
| export EXPERIMENT_NAME=qwen3-4b-instruct-en-h200-optimized |
| export WAND_PROJECT='readctrl-verl' |
| export CUDA_DEVICE_ORDER="PCI_BUS_ID" |
| export CUDA_VISIBLE_DEVICES=2,3 |
|
|
| PYTHONUNBUFFERED=1 python3 -m verl.trainer.main_ppo \ |
| algorithm.adv_estimator=grpo \ |
| data.train_files=/home/mshahidul/readctrl/code/RL_model/verl/verl_train/dataset/train.parquet \ |
| data.val_files=/home/mshahidul/readctrl/code/RL_model/verl/verl_train/dataset/test.parquet \ |
| custom_reward_function.path=/home/mshahidul/readctrl/code/RL_model/verl/verl_train/reward_func/reward_func/reward_new_v2.py \ |
| data.train_batch_size=1024 \ |
| data.max_prompt_length=1024 \ |
| data.max_response_length=2048 \ |
| data.filter_overlong_prompts=True \ |
| data.truncation='error' \ |
| actor_rollout_ref.model.path=Qwen/Qwen3-4B-Instruct-2507 \ |
| actor_rollout_ref.actor.optim.lr=1e-6 \ |
| actor_rollout_ref.model.use_remove_padding=True \ |
| actor_rollout_ref.actor.ppo_mini_batch_size=512 \ |
| actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32 \ |
| 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.model.enable_gradient_checkpointing=False \ |
| 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=1 \ |
| actor_rollout_ref.rollout.name=vllm \ |
| actor_rollout_ref.rollout.gpu_memory_utilization=0.4 \ |
| actor_rollout_ref.rollout.enforce_eager=False \ |
| actor_rollout_ref.rollout.max_model_len=8192 \ |
| actor_rollout_ref.rollout.n=8 \ |
| actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=64 \ |
| actor_rollout_ref.ref.fsdp_config.param_offload=False \ |
| algorithm.use_kl_in_reward=False \ |
| trainer.critic_warmup=0 \ |
| trainer.logger='["console"]' \ |
| trainer.project_name=$WAND_PROJECT \ |
| trainer.experiment_name=$EXPERIMENT_NAME \ |
| trainer.n_gpus_per_node=2 \ |
| trainer.nnodes=1 \ |
| trainer.save_freq=5 \ |
| trainer.test_freq=10 \ |
| +trainer.remove_previous_ckpt_in_save=true \ |
| trainer.max_actor_ckpt_to_keep=1 \ |
| trainer.max_critic_ckpt_to_keep=1 \ |
| trainer.resume_mode=auto \ |
| trainer.default_local_dir=/home/mshahidul/readctrl/code/RL_model/models/readCtrl_RL_en \ |
| trainer.total_epochs=15 $@ \ |
| 2>&1 | tee $EXPERIMENT_NAME.log |
| |
