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Model: JoaoBoer/tofu_Llama-3.1-8B-Instruct_forget05_NPO
Source: Original Platform

README.md

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+---
+license: llama3.1
+base_model: open-unlearning/tofu_Llama-3.1-8B-Instruct_full
+library_name: transformers
+pipeline_tag: text-generation
+datasets:
+- locuslab/TOFU
+tags:
+- unlearning
+- tofu
+- NPO
+- forget05
+---
+
+# tofu_Llama-3.1-8B-Instruct_forget05_NPO
+
+`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.
+
+Full training config: `.hydra/config.yaml`. TOFU evaluation outputs: `evals/`.
+
+## Method hyperparameters
+
+```yaml
+gamma: 1.0
+alpha: 2
+retain_loss_type: NLL
+beta: 0.1
+```
+
+## TOFU summary metrics
+
+| metric | value |
+|---|---|
+| exact_memorization | 0.5073 |
+| extraction_strength | 0.0558 |
+| forget_Q_A_PARA_Prob | 0.0237 |
+| forget_Q_A_gibberish | 0.8973 |
+| forget_quality | 0.0118 |
+| forget_truth_ratio | 0.6632 |
+| mia_loss | 0.0650 |
+| mia_min_k | 0.0673 |
+| mia_min_k_plus_plus | 0.1206 |
+| mia_zlib | 0.1069 |
+| model_utility | 0.5679 |
+| privleak | 44.8684 |