55 lines
1.6 KiB
YAML
55 lines
1.6 KiB
YAML
model_name_or_path: /NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/cache/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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/NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/precomputed/full_expect_bestadv_sample1: 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: ronpo
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max_history_t: 1
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history_weights: [1.0]
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ronpo_alpha: 1.0
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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
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preference_sft_weight: 0.005
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beta: 10
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learning_rate: 5.0000000000e-07
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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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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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gradient_checkpointing_kwargs:
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use_reentrant: false
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num_train_epochs: 1
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max_steps: 75
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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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eval_steps: 500
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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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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: /NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/train/ronpo_full_expect_s42_ronpo-bestadv-20260712-0750-r3-sample1_lr5e7_a1_s75_sft5e3
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run_name: rev-q3-ronpo-full_expect-bestadv_sample1-s42-ronpo-bestadv-20260712-0750-r3-sample1_lr5e7_a1_s75_sft5e3
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