wehub-resource-sync
54 lines
1.1 KiB
YAML
54 lines
1.1 KiB
YAML
rlhf_type: grpo
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model: Qwen/Qwen2.5-VL-3B-Instruct
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dataset: AI-ModelScope/clevr_cogen_a_train#2000
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external_plugins: examples/train/grpo/plugin/plugin.py
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reward_funcs: [external_r1v_acc, format]
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overlong_filter: false
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dataset_num_proc: 4
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split_dataset_ratio: 0
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load_from_cache_file: false
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micro_batch_size: 2
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global_batch_size: 16
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num_generations: 8
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steps_per_generation: 4
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num_train_epochs: 1
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train_iters: 100
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logging_steps: 1
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seed: 42
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max_length: 4096
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max_completion_length: 4096
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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: 5e-5
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lr_warmup_fraction: 0.0
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min_lr: 5e-5
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attention_backend: flash
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temperature: 1.0
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beta: 0
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epsilon: 0.2
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epsilon_high: 0.28
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loss_type: grpo
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advantage_estimator: grpo
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importance_sampling_level: token
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log_rollout_offpolicy_metrics: true
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system: examples/train/grpo/prompt.txt
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use_vllm: 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_grpo_separate
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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: 0.8
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vllm_max_model_len: 8192
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