modelscope--ms-swift
wehub-resource-sync
54 行
969 B
YAML
54 行
969 B
YAML
rlhf_type: grpo
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model: Qwen/Qwen3.5-2B
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teacher_model: Qwen/Qwen3.5-9B
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dataset: modelscope/gsm8k
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dataset_num_proc: 4
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split_dataset_ratio: 0
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micro_batch_size: 2
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global_batch_size: 16
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num_generations: 1
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steps_per_generation: 4
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num_train_epochs: 1
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logging_steps: 1
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seed: 42
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max_length: 2048
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max_completion_length: 2048
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padding_free: false
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cross_entropy_loss_fusion: true
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gradient_accumulation_fusion: false
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lr: 3e-5
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lr_warmup_fraction: 0.0
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attention_backend: flash
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temperature: 1.0
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beta: 0
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teacher_kl_coef: 1.0
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use_vllm: true
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colocate_groups: [[train, rollout]]
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offload_model: true
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offload_optimizer: true
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offload_teacher_model: true
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sleep_level: 1
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save_steps: 100
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no_save_optim: true
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no_save_rng: true
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train:
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gpus: 4
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tuner_type: lora
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lora_rank: 8
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lora_alpha: 32
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tensor_model_parallel_size: 1
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output_dir: megatron_output/ray_opd_rl_colocate
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rollout:
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gpus: 4
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vllm_tensor_parallel_size: 1
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vllm_gpu_memory_utilization: 0.4
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vllm_max_model_len: 4096
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