wehub-resource-sync
69 lines
1.3 KiB
YAML
69 lines
1.3 KiB
YAML
# Ray Megatron GKD multi-turn — colocate mode, colocated teacher.
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# Tests multi-turn GKD on Ray-Megatron backend with MathTipsScheduler.
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rlhf_type: gkd
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model: Qwen/Qwen3.5-0.8B
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teacher_model: Qwen/Qwen3.5-2B
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gkd_logits_topk: 64
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enable_thinking: false
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dataset:
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- 'AI-MO/NuminaMath-TIR#2000'
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dataset_num_proc: 4
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split_dataset_ratio: 0
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micro_batch_size: 1
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global_batch_size: 16
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num_train_epochs: 1
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logging_steps: 5
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seed: 42
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max_length: 2048
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max_completion_length: 1024
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truncation_strategy: delete
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padding_free: true
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sequence_parallel: true
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attention_backend: flash
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lr: 1e-5
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min_lr: 1e-7
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lr_warmup_fraction: 0.05
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temperature: 1.0
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lmbda: 1
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beta: 0.5
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sft_alpha: 0.0
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# Multi-turn configuration
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multi_turn_scheduler: math_tip_trick
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max_turns: 2
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finetune: true
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no_save_optim: true
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no_save_rng: true
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recompute_granularity: selective
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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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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: 2
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pipeline_model_parallel_size: 1
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expert_model_parallel_size: 1
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context_parallel_size: 1
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output_dir: megatron_output/gkd_multi_turn_ray
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rollout:
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gpus: 4
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vllm_tensor_parallel_size: 2
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vllm_gpu_memory_utilization: 0.4
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vllm_max_model_len: 4096
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