[2026-07-21 07:43:21,713][evaluator][INFO] - Evaluations stored in the experiment directory: ./saves/eval/AltPO_lr2e-05_beta0.05_alpha2_epoch10
[2026-07-21 07:43:21,716][evaluator][INFO] - ***** Running TOFU evaluation suite *****
[2026-07-21 07:43:21,716][evaluator][INFO] - Fine-grained evaluations will be saved to: ./saves/eval/AltPO_lr2e-05_beta0.05_alpha2_epoch10/TOFU_EVAL.json
[2026-07-21 07:43:21,716][evaluator][INFO] - Aggregated evaluations will be summarised in: ./saves/eval/AltPO_lr2e-05_beta0.05_alpha2_epoch10/TOFU_SUMMARY.json
[2026-07-21 07:43:22,357][metrics][INFO] - Evaluating forget_Q_A_PARA_Prob

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Calculating loss: 100%|██████████| 13/13 [00:03<00:00,  4.03it/s]
Evaluated 400 examples
[2026-07-21 07:43:26,089][metrics][INFO] - Evaluating forget_Q_A_PERT_Prob

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Calculating loss: 100%|██████████| 13/13 [00:13<00:00,  1.01s/it]
Evaluated 400 examples
[2026-07-21 07:43:39,253][metrics][INFO] - Evaluating forget_truth_ratio
[2026-07-21 07:43:39,255][evaluator][INFO] - Result for metric forget_truth_ratio:	0.6458714342878464
[2026-07-21 07:43:39,264][metrics][INFO] - Skipping forget_quality's precompute forget_truth_ratio, already evaluated.
[2026-07-21 07:43:39,265][metrics][INFO] - Loading evaluations from /workspace/jspace-unlearning/refs/tofu_Llama-3.2-1B-Instruct_retain90__TOFU_EVAL.json
[2026-07-21 07:43:39,282][metrics][INFO] - Evaluating forget_quality
[2026-07-21 07:43:39,284][evaluator][INFO] - Result for metric forget_quality:	0.015755280926407406
[2026-07-21 07:43:40,435][metrics][INFO] - Evaluating forget_Q_A_Prob

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Calculating loss: 100%|██████████| 13/13 [00:02<00:00,  4.84it/s]
Evaluated 400 examples
[2026-07-21 07:43:43,121][evaluator][INFO] - Result for metric forget_Q_A_Prob:	0.095581533908844
[2026-07-21 07:43:43,398][metrics][INFO] - Evaluating forget_Q_A_ROUGE

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Calculating text similarity: 100%|██████████| 13/13 [00:11<00:00,  1.09it/s]
Evaluated 400 examples
[2026-07-21 07:43:55,295][evaluator][INFO] - Result for metric forget_Q_A_ROUGE:	0.3241015152047754
[2026-07-21 07:43:55,669][metrics][INFO] - Evaluating retain_Q_A_Prob

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Calculating loss: 100%|██████████| 13/13 [00:02<00:00,  5.01it/s]
Evaluated 400 examples
[2026-07-21 07:43:58,616][metrics][INFO] - Evaluating retain_Q_A_ROUGE

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Calculating text similarity: 100%|██████████| 13/13 [00:10<00:00,  1.30it/s]
Evaluated 400 examples
[2026-07-21 07:44:09,450][metrics][INFO] - Evaluating retain_Q_A_PARA_Prob

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Calculating loss: 100%|██████████| 13/13 [00:02<00:00,  4.93it/s]
Evaluated 400 examples
[2026-07-21 07:44:12,474][metrics][INFO] - Evaluating retain_Q_A_PERT_Prob

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Calculating loss: 100%|██████████| 13/13 [00:12<00:00,  1.01it/s]
Evaluated 400 examples
[2026-07-21 07:44:25,349][metrics][INFO] - Evaluating retain_Truth_Ratio
[2026-07-21 07:44:25,698][metrics][INFO] - Evaluating ra_Q_A_Prob

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Calculating loss: 100%|██████████| 4/4 [00:00<00:00,  7.93it/s]
Evaluated 100 examples
[2026-07-21 07:44:26,510][metrics][INFO] - Evaluating ra_Q_A_PERT_Prob

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Calculating loss: 100%|██████████| 4/4 [00:01<00:00,  2.65it/s]
Evaluated 100 examples
[2026-07-21 07:44:28,020][metrics][INFO] - Evaluating ra_Q_A_Prob_normalised
[2026-07-21 07:44:28,276][metrics][INFO] - Evaluating ra_Q_A_ROUGE

Calculating text similarity:   0%|          | 0/4 [00:00<?, ?it/s]
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Calculating text similarity: 100%|██████████| 4/4 [00:01<00:00,  2.09it/s]
Evaluated 100 examples
[2026-07-21 07:44:30,193][metrics][INFO] - Skipping ra_Truth_Ratio's precompute ra_Q_A_Prob, already evaluated.
[2026-07-21 07:44:30,194][metrics][INFO] - Skipping ra_Truth_Ratio's precompute ra_Q_A_PERT_Prob, already evaluated.
[2026-07-21 07:44:30,194][metrics][INFO] - Evaluating ra_Truth_Ratio
[2026-07-21 07:44:30,508][metrics][INFO] - Evaluating wf_Q_A_Prob

Calculating loss:   0%|          | 0/4 [00:00<?, ?it/s]
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Calculating loss: 100%|██████████| 4/4 [00:00<00:00,  8.52it/s]
Evaluated 117 examples
[2026-07-21 07:44:31,307][metrics][INFO] - Evaluating wf_Q_A_PERT_Prob

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Calculating loss: 100%|██████████| 4/4 [00:01<00:00,  2.70it/s]
Evaluated 117 examples
[2026-07-21 07:44:32,790][metrics][INFO] - Evaluating wf_Q_A_Prob_normalised
[2026-07-21 07:44:33,128][metrics][INFO] - Evaluating wf_Q_A_ROUGE

Calculating text similarity:   0%|          | 0/4 [00:00<?, ?it/s]
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Calculating text similarity: 100%|██████████| 4/4 [00:02<00:00,  1.63it/s]
Calculating text similarity: 100%|██████████| 4/4 [00:02<00:00,  1.64it/s]
Evaluated 117 examples
[2026-07-21 07:44:35,571][metrics][INFO] - Skipping wf_Truth_Ratio's precompute wf_Q_A_Prob, already evaluated.
[2026-07-21 07:44:35,571][metrics][INFO] - Skipping wf_Truth_Ratio's precompute wf_Q_A_PERT_Prob, already evaluated.
[2026-07-21 07:44:35,571][metrics][INFO] - Evaluating wf_Truth_Ratio
[2026-07-21 07:44:35,571][metrics][INFO] - Evaluating model_utility
[2026-07-21 07:44:35,572][evaluator][INFO] - Result for metric model_utility:	0.5661593942944977
[2026-07-21 07:44:36,193][metrics][INFO] - Loading evaluations from /workspace/jspace-unlearning/refs/tofu_Llama-3.2-1B-Instruct_retain90__TOFU_EVAL.json
[2026-07-21 07:44:36,209][metrics][INFO] - Evaluating mia_min_k

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[2026-07-21 07:44:38,305][metrics][INFO] - Loading evaluations from /workspace/jspace-unlearning/refs/tofu_Llama-3.2-1B-Instruct_retain90__TOFU_EVAL.json
[2026-07-21 07:44:38,321][metrics][INFO] - Evaluating privleak
[2026-07-21 07:44:38,321][evaluator][INFO] - Result for metric privleak:	0.41910469511949305
[2026-07-21 07:44:38,659][metrics][INFO] - Evaluating extraction_strength

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Calculating ES:  54%|█████▍    | 7/13 [00:00<00:00,  9.48it/s]
Calculating ES:  69%|██████▉   | 9/13 [00:00<00:00,  9.90it/s]
Calculating ES:  77%|███████▋  | 10/13 [00:01<00:00,  9.73it/s]
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Calculating ES: 100%|██████████| 13/13 [00:01<00:00,  9.87it/s]
Evaluated 400 examples
[2026-07-21 07:44:39,977][evaluator][INFO] - Result for metric extraction_strength:	0.05053907720236556