59 lines
1.5 KiB
YAML
59 lines
1.5 KiB
YAML
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model_name_or_path: /NHNHOME/26msit001_A/BASE/AIPR/sjkim/revision_qwen3_8b/full_iter1/flagship_20260712/cache/huggingface/hub/models--Qwen--Qwen3-8B/snapshots/b968826d9c46dd6066d109eabc6255188de91218
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torch_dtype: null
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attn_implementation: sdpa
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dataset_mixer:
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/NHNHOME/26msit001_A/BASE/AIPR/sjkim/revision_qwen3_8b/full_iter1/flagship_20260712/precomputed/avg: 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: 4
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bf16: true
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loss_type: sppo
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eta: 0.01
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ratio: 0.3333
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max_history_t: 1
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history_weights:
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- 1.0
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dpo_beta: 0.05
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simpo_beta: 2.0
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simpo_gamma: 0.6
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ronpo_alpha: 0.5
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ronpo_tau: 0.05
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ronpo_target_column: ronpo_target
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reference_anchor_weight: 0.075
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preference_sft_weight: 0.0075
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ht_target_column: ht_target
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ht_target_scale: 1.0
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beta: 10.0
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learning_rate: 5.0e-07
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lr_scheduler_type: cosine
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warmup_ratio: 0.2
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optim: adamw_torch
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weight_decay: 0.0
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max_grad_norm: 1.0
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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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num_train_epochs: 1
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max_steps: 900
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per_device_train_batch_size: 1
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per_device_eval_batch_size: 1
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max_length: 2048
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max_prompt_length: 1800
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do_eval: false
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eval_strategy: 'no'
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logging_steps: 5
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log_level: info
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generate_during_eval: false
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load_best_model_at_end: false
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save_strategy: steps
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save_steps: 900
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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: /NHNHOME/26msit001_A/BASE/AIPR/sjkim/revision_qwen3_8b/full_iter1/fair_demo_20260715/sweep/candidates/sppo_b
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run_name: qwen3-8b-fair-demo-sppo_b
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