mirror of
https://github.com/open-thought/reasoning-gym.git
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c69bc5d4e6
* feat: Add optional curriculum support to dataset registration and creation * docs: Add docstrings to create_curriculum() and register_dataset() * feat: Add curriculum configuration classes for CurriculumExperiment * feat: Add weight parameter to CurriculumAttributeConfig and use in DatasetSpec * refactor: Simplify CurriculumAttributeConfig with "*" attribute level support * test: Add unit tests for CurriculumExperiment class * feat: Add from_yaml() method to CurriculumExperimentConfig with unit test
39 lines
1.7 KiB
Bash
39 lines
1.7 KiB
Bash
#!/bin/bash
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set -x
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python3 -u main_ppo_custom_reward_server.py \
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algorithm.adv_estimator=grpo \
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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=32 \
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data.val_batch_size=32 \
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data.max_prompt_length=512 \
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data.max_response_length=1024 \
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actor_rollout_ref.model.path=$BASE_MODEL \
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actor_rollout_ref.actor.optim.lr=1e-6 \
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actor_rollout_ref.model.use_remove_padding=True \
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actor_rollout_ref.actor.ppo_mini_batch_size=32 \
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actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32 \
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actor_rollout_ref.actor.use_kl_loss=True \
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actor_rollout_ref.actor.kl_loss_coef=0.001 \
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actor_rollout_ref.actor.kl_loss_type=low_var_kl \
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actor_rollout_ref.model.enable_gradient_checkpointing=True \
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actor_rollout_ref.actor.fsdp_config.param_offload=False \
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actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
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actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32 \
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actor_rollout_ref.rollout.tensor_model_parallel_size=$ROLLOUT_TP_SIZE \
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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.rollout.n=8 \
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actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32 \
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actor_rollout_ref.ref.fsdp_config.param_offload=True \
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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'] \
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trainer.project_name='verl_chain_sum_grpo' \
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trainer.experiment_name=$EXPERIMENT_NAME \
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trainer.n_gpus_per_node=$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.total_epochs=15 $@ 2>&1 | tee verl_output.log
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