36 lines
911 B
YAML
36 lines
911 B
YAML
model_name: Qwen/Qwen3-8B
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forget_path: unlearning-cleanslate/fsid-curated-qwen3-8b:forget:igm_10B
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retain_path: unlearning-cleanslate/fsid-curated-qwen3-8b:retain:igm_10B
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output_dir: results/rebuttal/train/qwen3-8b-rmu-igm-10b
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objective: rmu
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num_epochs: 2
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batch_size: 8
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gradient_accum_steps: 4
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lr: 1.0e-05
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weight_decay: 0.0
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warmup_steps: 20
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max_grad_norm: 1.0
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forget_weight: 1.0
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retain_weight: 1.0
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retain_loss_type: embed_diff
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npo_beta: 0.1
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simnpo_delta: 0.0
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rmu_steering_coeff: 2.0
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rmu_module_regex: model\.layers\.7
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rmu_control_vec_seed: 0
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undial_beta: 10.0
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save_every: 0
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fsdp_sharding_strategy: full_shard
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dtype: bfloat16
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seed: 42
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num_workers: 0
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log_every: 10
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gradient_checkpointing: false
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torch_compile: false
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push_to_hub: false
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hub_repo_id: null
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hub_private: false
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optim: adamw_torch
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_run_name: rmu_Qwen3-8B_20260724_022112
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_run_dir: results/rebuttal/train/qwen3-8b-rmu-igm-10b/rmu_Qwen3-8B_20260724_022112
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