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38 lines
1.7 KiB
Bash
38 lines
1.7 KiB
Bash
set -x
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python3 -m verl.trainer.main_ppo \
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data.train_files=$HOME/data/gsm8k/train.parquet \
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data.val_files=$HOME/data/gsm8k/test.parquet \
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data.train_batch_size=1024 \
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data.val_batch_size=1312 \
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data.max_prompt_length=512 \
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data.max_response_length=512 \
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actor_rollout_ref.model.path=deepseek-ai/deepseek-llm-7b-chat \
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actor_rollout_ref.actor.optim.lr=1e-6 \
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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=32 \
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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=128 \
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actor_rollout_ref.rollout.tensor_model_parallel_size=4 \
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actor_rollout_ref.rollout.name=vllm \
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actor_rollout_ref.rollout.gpu_memory_utilization=0.4 \
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actor_rollout_ref.ref.log_prob_micro_batch_size=128 \
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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.model.path=deepseek-ai/deepseek-llm-7b-chat \
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critic.model.enable_gradient_checkpointing=False \
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critic.ppo_micro_batch_size=32 \
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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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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_gsm8k' \
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trainer.experiment_name='deepseek_llm_7b_function_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.total_epochs=15 |