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54 lines
2.3 KiB
Bash
54 lines
2.3 KiB
Bash
set -x
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# Discliamer: the model used in the script is only for academic example,
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gsm8k_train_path=$HOME/data/gsm8k/train.parquet
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gsm8k_test_path=$HOME/data/gsm8k/test.parquet
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math_train_path=$HOME/data/math/train.parquet
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math_test_path=$HOME/data/math/test.parquet
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train_files="['$gsm8k_train_path', '$math_train_path']"
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test_files="['$gsm8k_test_path', '$math_test_path']"
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python3 -m verl.trainer.main_ppo \
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data.train_files="$train_files" \
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data.val_files="$test_files" \
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data.train_batch_size=1024 \
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data.val_batch_size=6312 \
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data.max_prompt_length=1024 \
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data.max_response_length=512 \
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data.return_raw_chat=True \
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actor_rollout_ref.model.path=Qwen/Qwen2-7B-Instruct \
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actor_rollout_ref.actor.optim.lr=1e-6 \
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actor_rollout_ref.actor.optim.lr_warmup_steps_ratio=0.1 \
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actor_rollout_ref.actor.ppo_mini_batch_size=256 \
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actor_rollout_ref.actor.ppo_micro_batch_size=16 \
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actor_rollout_ref.actor.fsdp_config.param_offload=False \
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actor_rollout_ref.actor.fsdp_config.grad_offload=False \
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actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
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actor_rollout_ref.rollout.log_prob_micro_batch_size=16 \
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actor_rollout_ref.rollout.tensor_model_parallel_size=1 \
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actor_rollout_ref.rollout.name=vllm \
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actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \
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actor_rollout_ref.ref.log_prob_micro_batch_size=16 \
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actor_rollout_ref.ref.fsdp_config.param_offload=True \
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critic.optim.lr=1e-5 \
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critic.optim.lr_warmup_steps_ratio=0.05 \
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critic.model.path=Qwen/Qwen2-7B-Instruct \
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critic.model.enable_gradient_checkpointing=False \
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critic.ppo_micro_batch_size=16 \
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critic.model.fsdp_config.param_offload=False \
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critic.model.fsdp_config.grad_offload=False \
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critic.model.fsdp_config.optimizer_offload=False \
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reward_model.enable=True \
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reward_model.model.path=sfairXC/FsfairX-Gemma2-RM-v0.1\
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reward_model.model.fsdp_config.param_offload=True \
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reward_model.micro_batch_size=16 \
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algorithm.kl_ctrl.kl_coef=0.001 \
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trainer.critic_warmup=0 \
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trainer.logger=['console','tracking'] \
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trainer.project_name='verl_example' \
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trainer.experiment_name='Qwen2-7B-Instruct_hybrid_rm' \
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trainer.n_gpus_per_node=8 \
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trainer.nnodes=1 \
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trainer.save_freq=-1 \
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trainer.test_freq=5 \
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trainer.total_epochs=15 |