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verl/examples/ppo_trainer/run_deepseek_math_gsm8k_megatron.sh
2024-10-31 14:29:44 +08:00

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set -x
gsm8k_train_path=$HOME/data/gsm8k/train.parquet
gsm8k_test_path=$HOME/data/gsm8k/test.parquet
math_train_path=$HOME/data/math/train.parquet
math_test_path=$HOME/data/math/test.parquet
train_files="['$gsm8k_train_path', '$math_train_path']"
test_files="['$gsm8k_test_path', '$math_test_path']"
python3 -m verl.trainer.main_ppo --config-path=./config --config-name='ppo_megatron_trainer'\
data.train_files="$train_files" \
data.val_files="$test_files" \
data.train_batch_size=1024 \
data.val_batch_size=6312 \
data.max_prompt_length=1024 \
data.max_response_length=512 \
actor_rollout_ref.model.path=deepseek-ai/deepseek-coder-6.7b-instruct \
actor_rollout_ref.actor.optim.lr=1e-6 \
actor_rollout_ref.actor.ppo_mini_batch_size=256 \
actor_rollout_ref.actor.ppo_micro_batch_size=32 \
actor_rollout_ref.rollout.log_prob_micro_batch_size=32 \
actor_rollout_ref.rollout.tensor_model_parallel_size=4 \
actor_rollout_ref.rollout.name=vllm \
actor_rollout_ref.rollout.gpu_memory_utilization=0.4 \
actor_rollout_ref.ref.log_prob_micro_batch_size=32 \
critic.optim.lr=1e-5 \
critic.model.path=deepseek-ai/deepseek-coder-6.7b-instruct \
critic.model.enable_gradient_checkpointing=False \
critic.ppo_micro_batch_size=32 \
algorithm.kl_ctrl.kl_coef=0.001 \
trainer.critic_warmup=0 \
trainer.logger=['console','tracking'] \
trainer.project_name='verl_megatron_math_gsm8k_examples' \
trainer.experiment_name='deepseek_llm_7b_function_rm' \
trainer.n_gpus_per_node=8 \
trainer.nnodes=1 \
trainer.save_freq=-1 \
trainer.test_freq=5 \
trainer.total_epochs=100