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run_deepseek_megatron.sh 2.76 KB
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set -x

# prepare pre-trained model ckpt
# deepseek-llm-7b-chat has 30 layers, which is not good to use with PP=2 and VPP=2, try using a 6.7b model instead
# huggingface-cli download deepseek-ai/deepseek-llm-7b-chat --local-dir $HOME/models/deepseek-llm-7b-chat
huggingface-cli download deepseek-ai/deepseek-coder-6.7b-instruct

# ``actor_rollout_ref.rollout.tensor_model_parallel_size`` in theory could be different from
# ``**.megatron.tensor_model_parallel_size``

# the config file used: verl/trainer/main_ppo/config/ppo_megatron_trainer.yaml
# tested on L20-16 GPUs per nodes, for other machines please adjust the n_gpus_per_node config accordingly
python3 -m verl.trainer.main_ppo --config-path=config \
    --config-name='ppo_megatron_trainer.yaml'\
    algorithm.adv_estimator=gae \
    data.train_files=$HOME/data/gsm8k/train.parquet \
    data.val_files=$HOME/data/gsm8k/test.parquet \
    data.train_batch_size=1024 \
    data.max_prompt_length=512 \
    data.max_response_length=512 \
    data.filter_overlong_prompts=True \
    data.truncation='error' \
    actor_rollout_ref.model.path=deepseek-ai/deepseek-coder-6.7b-instruct \
    actor_rollout_ref.actor.optim.lr=2e-6 \
    actor_rollout_ref.actor.ppo_mini_batch_size=256 \
    actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=4 \
    actor_rollout_ref.actor.megatron.pipeline_model_parallel_size=2 \
    actor_rollout_ref.actor.megatron.virtual_pipeline_model_parallel_size=2 \
    actor_rollout_ref.actor.megatron.tensor_model_parallel_size=4 \
    actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=8 \
    actor_rollout_ref.rollout.tensor_model_parallel_size=2 \
    actor_rollout_ref.rollout.name=vllm \
    actor_rollout_ref.rollout.gpu_memory_utilization=0.5 \
    actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=16 \
    actor_rollout_ref.ref.megatron.pipeline_model_parallel_size=2 \
    actor_rollout_ref.ref.megatron.virtual_pipeline_model_parallel_size=2 \
    actor_rollout_ref.ref.megatron.tensor_model_parallel_size=4 \
    critic.optim.lr=2e-5 \
    critic.model.path=deepseek-ai/deepseek-coder-6.7b-instruct \
    critic.model.enable_gradient_checkpointing=False \
    critic.ppo_micro_batch_size_per_gpu=4 \
    critic.megatron.pipeline_model_parallel_size=2 \
    critic.megatron.virtual_pipeline_model_parallel_size=2 \
    critic.megatron.tensor_model_parallel_size=4 \
    algorithm.use_kl_in_reward=True \
    algorithm.kl_penalty=kl \
    algorithm.kl_ctrl.kl_coef=0.001 \
    trainer.critic_warmup=0 \
    trainer.logger=['console','wandb'] \
    trainer.project_name='verl_megatron_gsm8k_examples' \
    trainer.experiment_name='deepseek_llm_7b_function_rm' \
    trainer.n_gpus_per_node=16 \
    trainer.nnodes=1 \
    trainer.save_freq=-1 \
    trainer.total_epochs=15 \
    trainer.val_before_train=False $@