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JoaoBoer/tofu_Llama-3.2-3B-Instruct_forget05_PDU

sourceHugging Facellama3.2updated 17d agoView on Hugging Face
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tofuLlama-3.2-3B-Instructforget05_PDU

open-unlearning/tofu_Llama-3.2-3B-Instruct_full unlearned on the TOFU forget05 split with PDU, trained with the open-unlearning framework. Used as a weight-unlearning baseline / draft model in the Speculative-Decoding-Unlearning project.

Full training config: .hydra/config.yaml. TOFU evaluation outputs: evals/.

Method hyperparameters

yaml
gamma: 1.0
alpha: 100
retain_loss_type: NLL
retain_loss_eps: 0.3
primal_dual: True
dual_step_size: 5
dual_update_upon: step
dual_warmup_epochs: 5
loss_names: ['forget_loss', 'retain_loss']

TOFU summary metrics

metricvalue
exact_memorization0.0270
extraction_strength0.0327
forgetQAPARAProb0.0001
forgetQA_gibberish0.1040
forget_quality0.0000
forgettruthratio0.9149
mia_loss0.0055
miamink0.0109
miaminkplusplus0.7706
mia_zlib0.0385
model_utility0.6471
privleak54.6314