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JoaoBoer/tofu_Llama-3.2-1B-Instruct_forget05_RMU

sourceHugging Facellama3.2updated 17d agoView on Hugging Face
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tofuLlama-3.2-1B-Instructforget05_RMU

open-unlearning/tofu_Llama-3.2-1B-Instruct_full unlearned on the TOFU forget05 split with RMU, 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: 1
retain_loss_type: EMBED_DIFF
steering_coeff: 1
module_regex: model\.layers\.5
trainable_params_regex: ['.*']

TOFU summary metrics

metricvalue
exact_memorization0.0664
extraction_strength0.0327
forgetQAPARAProb0.0005
forgetQA_gibberish0.2048
forget_quality0.0000
forgettruthratio0.7219
mia_loss0.0443
miamink0.0439
miaminkplusplus0.3913
mia_zlib0.0470
model_utility0.5123
privleak49.9529