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add grpo launch script
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4 changed files with 212 additions and 2 deletions
30
examples/veRL/train_ppo.sh
Executable file
30
examples/veRL/train_ppo.sh
Executable file
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#!/bin/bash
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python3 -u main_ppo_custom_reward.py \
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data.train_files=$DATA_DIR/train.parquet \
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data.val_files=$DATA_DIR/test.parquet \
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data.train_batch_size=256 \
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data.val_batch_size=1312 \
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data.max_prompt_length=256 \
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data.max_response_length=1024 \
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actor_rollout_ref.model.path=$BASE_MODEL \
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actor_rollout_ref.actor.optim.lr=1e-6 \
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actor_rollout_ref.actor.ppo_mini_batch_size=128 \
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actor_rollout_ref.actor.ppo_micro_batch_size=8 \
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actor_rollout_ref.rollout.log_prob_micro_batch_size=8 \
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actor_rollout_ref.rollout.tensor_model_parallel_size=$ROLLOUT_TP_SIZE \
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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=4 \
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critic.optim.lr=1e-5 \
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critic.model.path=$BASE_MODEL \
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critic.ppo_micro_batch_size=8 \
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algorithm.kl_ctrl.kl_coef=0.001 \
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trainer.logger=['wandb'] \
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+trainer.val_before_train=False \
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trainer.default_hdfs_dir=null \
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trainer.n_gpus_per_node=$N_GPUS \
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trainer.nnodes=1 \
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trainer.save_freq=100 \
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trainer.test_freq=100 \
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trainer.project_name='verl_chain_sum_ppo' \
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trainer.experiment_name=$EXPERIMENT_NAME \
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trainer.total_epochs=15 2>&1 | tee verl_output.log
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