53 lines
1.3 KiB
YAML
53 lines
1.3 KiB
YAML
model_name_or_path: /ext_hdd/sjkim/huggingface/hub/models--Qwen--Qwen3-8B/snapshots/b968826d9c46dd6066d109eabc6255188de91218
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torch_dtype: null
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attn_implementation: eager
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dataset_mixer:
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/home/sjkim/mnpo_shared/revision_qwen3_8b/full_iter1/precomputed/avg_oracle: 1.0
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dataset_splits:
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- train
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- test
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preprocessing_num_workers: 12
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bf16: true
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loss_type: dpo
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dpo_beta: 0.05
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simpo_beta: 2.5
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simpo_gamma: 1.0
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eta: 0.0075
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ratio: 0.3333
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max_history_t: 1
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history_weights: [1.0]
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beta: 10
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learning_rate: 5.0e-7
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lr_scheduler_type: cosine
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warmup_ratio: 0.1
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optim: adamw_torch
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weight_decay: 0.0
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seed: 42
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gradient_accumulation_steps: 16
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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num_train_epochs: 1
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per_device_train_batch_size: 2
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per_device_eval_batch_size: 2
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max_length: 2048
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max_prompt_length: 1800
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do_eval: true
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eval_strategy: steps
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eval_steps: 500
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logging_steps: 10
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log_level: info
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generate_during_eval: false
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metric_for_best_model: eval_loss
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load_best_model_at_end: false
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save_strategy: steps
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save_steps: 1000
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save_total_limit: 1
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save_only_model: true
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save_safetensors: true
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push_to_hub: false
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report_to:
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- wandb
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output_dir: /ext_hdd/sjkim/mnpo/revision_qwen3_8b/full_iter1/train/dpo_avg_beta0p05_s42_odin2
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run_name: rev-q3-dpo-b0p05-s42-odin2
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