46 lines
1.2 KiB
Markdown
46 lines
1.2 KiB
Markdown
---
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license: llama3.1
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base_model: open-unlearning/tofu_Llama-3.1-8B-Instruct_full
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library_name: transformers
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pipeline_tag: text-generation
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datasets:
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- locuslab/TOFU
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tags:
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- unlearning
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- tofu
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- NPO
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- forget05
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---
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# tofu_Llama-3.1-8B-Instruct_forget05_NPO
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`open-unlearning/tofu_Llama-3.1-8B-Instruct_full` unlearned on the TOFU `forget05` split with **NPO**, trained with the [open-unlearning](https://github.com/locuslab/open-unlearning) framework. Used as a weight-unlearning baseline / draft model in the [Speculative-Decoding-Unlearning](https://github.com/JoaoVitorBoer/Speculative-Decoding-Unlearning) project.
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Full training config: `.hydra/config.yaml`. TOFU evaluation outputs: `evals/`.
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## Method hyperparameters
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```yaml
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gamma: 1.0
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alpha: 2
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retain_loss_type: NLL
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beta: 0.1
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```
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## TOFU summary metrics
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| metric | value |
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|---|---|
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| exact_memorization | 0.5073 |
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| extraction_strength | 0.0558 |
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| forget_Q_A_PARA_Prob | 0.0237 |
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| forget_Q_A_gibberish | 0.8973 |
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| forget_quality | 0.0118 |
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| forget_truth_ratio | 0.6632 |
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| mia_loss | 0.0650 |
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| mia_min_k | 0.0673 |
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| mia_min_k_plus_plus | 0.1206 |
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| mia_zlib | 0.1069 |
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| model_utility | 0.5679 |
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| privleak | 44.8684 |
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