Add files using upload-large-folder tool

data/ulars/supplement/standard_eval/eval/OPTML-Group__GradDiff-SAM-WMDP__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.3110761979575805,
+    "wmdp_bio/acc_stderr": 0.01298002205319544
+}

data/ulars/supplement/standard_eval/eval/OPTML-Group__GradDiff-SAM-WMDP__wmdp_bio/eval.log

@@ -0,0 +1,18 @@
+[2026-05-29 21:43:51,876][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:43:51,888][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:43:51,889][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:43:51,889][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-SAM-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:43:51,889][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-SAM-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:43:51,890][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:43:51,890][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:07,199][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:53:07,212][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:53:07,213][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:53:07,213][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-SAM-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:53:07,213][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-SAM-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:53:07,214][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:53:07,214][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:28,578][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 21:53:28,578][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 21:53:28,578][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 21:53:29,912][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/OPTML-Group__GradDiff-WMDP__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.30086410054988216,
+    "wmdp_bio/acc_stderr": 0.012859451090570646
+}

data/ulars/supplement/standard_eval/eval/OPTML-Group__GradDiff-WMDP__wmdp_bio/eval.log

@@ -0,0 +1,18 @@
+[2026-05-29 21:43:25,872][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:43:25,885][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:43:25,886][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:43:25,886][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:43:25,886][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:43:25,888][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:43:25,888][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:08,215][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:53:08,228][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:53:08,229][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:53:08,229][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:53:08,229][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:53:08,231][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:53:08,231][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:16,388][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 21:53:16,388][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 21:53:16,388][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 21:53:17,720][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/OPTML-Group__GradDiff-WMDP__wmdp_cyber/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_cyber/acc": 0.3623553095118269,
+    "wmdp_cyber/acc_stderr": 0.01078616517136355
+}

data/ulars/supplement/standard_eval/eval/OPTML-Group__GradDiff-WMDP__wmdp_cyber/eval.log

@@ -0,0 +1,11 @@
+[2026-05-29 23:27:34,618][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 23:27:34,632][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 23:27:34,633][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 23:27:34,633][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-WMDP__wmdp_cyber/LMEval_EVAL.json
+[2026-05-29 23:27:34,633][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__GradDiff-WMDP__wmdp_cyber/LMEval_SUMMARY.json
+[2026-05-29 23:27:34,634][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 23:27:34,634][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 23:27:40,222][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 23:27:40,222][lm_eval.tasks][INFO] - Task: wmdp_cyber (wmdp/wmdp_cyber.yaml)
+[2026-05-29 23:27:40,223][lm_eval.api.task][INFO] - Building contexts for wmdp_cyber on rank 0...
+[2026-05-29 23:27:42,275][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-GP-WMDP__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.29300864100549884,
+    "wmdp_bio/acc_stderr": 0.012761558372411308
+}

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-GP-WMDP__wmdp_bio/eval.log

@@ -0,0 +1,18 @@
+[2026-05-29 21:44:05,915][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:44:05,927][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:44:05,928][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:44:05,928][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-GP-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:44:05,928][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-GP-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:44:05,929][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:44:05,929][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:08,205][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:53:08,218][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:53:08,219][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:53:08,219][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-GP-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:53:08,220][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-GP-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:53:08,221][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:53:08,221][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:18,932][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 21:53:18,933][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 21:53:18,933][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 21:53:20,252][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-GP-WMDP__wmdp_cyber/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_cyber/acc": 0.3985908404630096,
+    "wmdp_cyber/acc_stderr": 0.010986492263997122
+}

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-GP-WMDP__wmdp_cyber/eval.log

@@ -0,0 +1,12 @@
+[2026-05-30 00:04:55,215][model][WARNING] - Model /zfspool/sharehub/models/hf_wmdp_zephyr_unlearned_cache/OPTML-Group__NPO-GP-WMDP/models--OPTML-Group--NPO-GP-WMDP/snapshots/9d1c75d774a7462edeb171bf0ea2ea3610fa67c5 requested with {'device_map': 'cuda', 'attn_implementation': 'sdpa'}
+[2026-05-30 00:47:03,219][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-30 00:47:03,232][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-30 00:47:03,233][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-30 00:47:03,233][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-GP-WMDP__wmdp_cyber/LMEval_EVAL.json
+[2026-05-30 00:47:03,233][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-GP-WMDP__wmdp_cyber/LMEval_SUMMARY.json
+[2026-05-30 00:47:03,235][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-30 00:47:03,235][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-30 00:47:07,898][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-30 00:47:07,899][lm_eval.tasks][INFO] - Task: wmdp_cyber (wmdp/wmdp_cyber.yaml)
+[2026-05-30 00:47:07,899][lm_eval.api.task][INFO] - Building contexts for wmdp_cyber on rank 0...
+[2026-05-30 00:47:09,938][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-RS-WMDP__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.24587588373919875,
+    "wmdp_bio/acc_stderr": 0.012073573380009433
+}

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-RS-WMDP__wmdp_bio/eval.log

@@ -0,0 +1,18 @@
+[2026-05-29 21:44:03,607][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:44:03,621][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:44:03,623][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:44:03,623][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-RS-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:44:03,623][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-RS-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:44:03,624][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:44:03,624][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:08,914][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:53:08,926][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:53:08,927][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:53:08,927][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-RS-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:53:08,927][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-RS-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:53:08,928][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:53:08,928][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:23,478][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 21:53:23,479][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 21:53:23,479][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 21:53:24,825][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-SAM-WMDP__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.2608012568735271,
+    "wmdp_bio/acc_stderr": 0.0123109592637088
+}

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-SAM-WMDP__wmdp_bio/eval.log

@@ -0,0 +1,18 @@
+[2026-05-29 21:44:05,332][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:44:05,344][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:44:05,345][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:44:05,345][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-SAM-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:44:05,345][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-SAM-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:44:05,346][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:44:05,347][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:07,850][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:53:07,862][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:53:07,863][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:53:07,863][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-SAM-WMDP__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:53:07,863][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-SAM-WMDP__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:53:07,864][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:53:07,865][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:53:16,340][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 21:53:16,341][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 21:53:16,341][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 21:53:17,659][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-SAM-WMDP__wmdp_cyber/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_cyber/acc": 0.361852038248616,
+    "wmdp_cyber/acc_stderr": 0.010782924956910009
+}

data/ulars/supplement/standard_eval/eval/OPTML-Group__NPO-SAM-WMDP__wmdp_cyber/eval.log

@@ -0,0 +1,11 @@
+[2026-05-30 00:08:17,087][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-30 00:08:17,104][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-30 00:08:17,105][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-30 00:08:17,105][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-SAM-WMDP__wmdp_cyber/LMEval_EVAL.json
+[2026-05-30 00:08:17,105][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/OPTML-Group__NPO-SAM-WMDP__wmdp_cyber/LMEval_SUMMARY.json
+[2026-05-30 00:08:17,106][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-30 00:08:17,106][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-30 00:08:25,195][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-30 00:08:25,196][lm_eval.tasks][INFO] - Task: wmdp_cyber (wmdp/wmdp_cyber.yaml)
+[2026-05-30 00:08:25,196][lm_eval.api.task][INFO] - Building contexts for wmdp_cyber on rank 0...
+[2026-05-30 00:08:27,285][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/aypan17__zephyr-7b-beta_cyber-unlearned__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.5852317360565593,
+    "wmdp_bio/acc_stderr": 0.013814117265483037
+}

data/ulars/supplement/standard_eval/eval/aypan17__zephyr-7b-beta_cyber-unlearned__wmdp_bio/eval.log

@@ -0,0 +1,11 @@
+[2026-05-29 21:58:59,162][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:58:59,175][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:58:59,176][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:58:59,176][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/aypan17__zephyr-7b-beta_cyber-unlearned__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:58:59,176][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/aypan17__zephyr-7b-beta_cyber-unlearned__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:58:59,178][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:58:59,178][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:59:07,970][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 21:59:07,970][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 21:59:07,971][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 21:59:09,370][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_npo_gdr_lora_positive_dataset_v3__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.5703063629222309,
+    "wmdp_bio/acc_stderr": 0.01388001751684078
+}

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_npo_gdr_lora_positive_dataset_v3__wmdp_bio/eval.log

@@ -0,0 +1,11 @@
+[2026-05-29 23:52:46,787][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 23:52:46,801][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 23:52:46,802][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 23:52:46,803][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_npo_gdr_lora_positive_dataset_v3__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 23:52:46,803][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_npo_gdr_lora_positive_dataset_v3__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 23:52:46,804][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 23:52:46,804][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 23:52:52,232][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 23:52:52,232][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 23:52:52,232][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 23:52:53,576][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_npo_gdr_lora_positive_dataset_v3__wmdp_cyber/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_cyber/acc": 0.3870156014091595,
+    "wmdp_cyber/acc_stderr": 0.010929475600220024
+}

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_npo_gdr_lora_positive_dataset_v3__wmdp_cyber/eval.log

@@ -0,0 +1,11 @@
+[2026-05-30 00:38:22,247][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-30 00:38:22,260][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-30 00:38:22,262][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-30 00:38:22,262][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_npo_gdr_lora_positive_dataset_v3__wmdp_cyber/LMEval_EVAL.json
+[2026-05-30 00:38:22,262][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_npo_gdr_lora_positive_dataset_v3__wmdp_cyber/LMEval_SUMMARY.json
+[2026-05-30 00:38:22,264][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-30 00:38:22,264][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-30 00:38:27,316][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-30 00:38:27,316][lm_eval.tasks][INFO] - Task: wmdp_cyber (wmdp/wmdp_cyber.yaml)
+[2026-05-30 00:38:27,317][lm_eval.api.task][INFO] - Building contexts for wmdp_cyber on rank 0...
+[2026-05-30 00:38:29,384][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio/.hydra/config.yaml

@@ -0,0 +1,46 @@
+model:
+  model_args:
+    device_map: cuda
+    pretrained_model_name_or_path: /zfspool/sharehub/models/hf_wmdp_zephyr_unlearned_cache/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1/models--concept-unlearning--zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1/snapshots/546bc212b9f71ab1137534d4125741911afddcdc
+    attn_implementation: sdpa
+    torch_dtype: bfloat16
+  tokenizer_args:
+    pretrained_model_name_or_path: /zfspool/zangyihe/ulars/models/zephyr-7b-beta
+  template_args:
+    apply_chat_template: true
+    system_prompt: You are a helpful assistant.
+    system_prompt_with_special_tokens: '<|system|>
+
+      You are a helpful assistant.</s>
+
+      '
+    user_start_tag: '<|user|>
+
+      '
+    user_end_tag: </s>
+    asst_start_tag: '<|assistant|>
+
+      '
+    asst_end_tag: </s>
+    date_string: 10 Apr 2025
+mode: eval
+task_name: hf_wmdp_bio_concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1
+seed: 0
+eval:
+  lm_eval:
+    handler: LMEvalEvaluator
+    output_dir: ${paths.output_dir}
+    overwrite: true
+    tasks:
+    - wmdp_bio
+    simple_evaluate_args:
+      batch_size: 16
+      system_instruction: null
+      apply_chat_template: false
+paths:
+  root_dir: .
+  data_dir: ${paths.root_dir}/data/
+  datasets: ${paths.root_dir}/configs/data/datasets
+  output_dir: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio
+  work_dir: ${hydra:runtime.cwd}
+data_split: bio

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio/.hydra/hydra.yaml

@@ -0,0 +1,182 @@
+hydra:
+  run:
+    dir: ${paths.output_dir}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/eval.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - experiment=eval/wmdp/default
+    - model=zephyr-7b-beta
+    - model.model_args.pretrained_model_name_or_path=/zfspool/sharehub/models/hf_wmdp_zephyr_unlearned_cache/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1/models--concept-unlearning--zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1/snapshots/546bc212b9f71ab1137534d4125741911afddcdc
+    - model.tokenizer_args.pretrained_model_name_or_path=/zfspool/zangyihe/ulars/models/zephyr-7b-beta
+    - model.model_args.attn_implementation=sdpa
+    - model.model_args.torch_dtype=bfloat16
+    - data_split=bio
+    - task_name=hf_wmdp_bio_concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1
+    - paths.output_dir=/zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio
+    - eval.lm_eval.overwrite=true
+    - eval.lm_eval.tasks=[wmdp_bio]
+    - eval.lm_eval.simple_evaluate_args.batch_size=16
+  job:
+    name: eval
+    chdir: null
+    override_dirname: data_split=bio,eval.lm_eval.overwrite=true,eval.lm_eval.simple_evaluate_args.batch_size=16,eval.lm_eval.tasks=[wmdp_bio],experiment=eval/wmdp/default,model.model_args.attn_implementation=sdpa,model.model_args.pretrained_model_name_or_path=/zfspool/sharehub/models/hf_wmdp_zephyr_unlearned_cache/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1/models--concept-unlearning--zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1/snapshots/546bc212b9f71ab1137534d4125741911afddcdc,model.model_args.torch_dtype=bfloat16,model.tokenizer_args.pretrained_model_name_or_path=/zfspool/zangyihe/ulars/models/zephyr-7b-beta,model=zephyr-7b-beta,paths.output_dir=/zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio,task_name=hf_wmdp_bio_concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1
+    id: ???
+    num: ???
+    config_name: eval.yaml
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.0
+    version_base: '1.3'
+    cwd: /zfspool/zangyihe/home/ulars/open-unlearning
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /zfspool/zangyihe/home/ulars/open-unlearning/configs
+      schema: file
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio
+    choices:
+      experiment: eval/wmdp/default
+      hydra: eval
+      paths: default
+      eval: lm_eval
+      model: zephyr-7b-beta
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio/.hydra/overrides.yaml

@@ -0,0 +1,12 @@
+- experiment=eval/wmdp/default
+- model=zephyr-7b-beta
+- model.model_args.pretrained_model_name_or_path=/zfspool/sharehub/models/hf_wmdp_zephyr_unlearned_cache/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1/models--concept-unlearning--zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1/snapshots/546bc212b9f71ab1137534d4125741911afddcdc
+- model.tokenizer_args.pretrained_model_name_or_path=/zfspool/zangyihe/ulars/models/zephyr-7b-beta
+- model.model_args.attn_implementation=sdpa
+- model.model_args.torch_dtype=bfloat16
+- data_split=bio
+- task_name=hf_wmdp_bio_concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1
+- paths.output_dir=/zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio
+- eval.lm_eval.overwrite=true
+- eval.lm_eval.tasks=[wmdp_bio]
+- eval.lm_eval.simple_evaluate_args.batch_size=16

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.4760408483896308,
+    "wmdp_bio/acc_stderr": 0.01400319929342367
+}

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio/eval.log

@@ -0,0 +1,11 @@
+[2026-05-29 22:51:55,487][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 22:51:55,499][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 22:51:55,500][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 22:51:55,500][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 22:51:55,500][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_all_novels_v3_ft_rmu_lora_positive_dataset_v1__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 22:51:55,501][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 22:51:55,501][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 22:52:09,174][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 22:52:09,175][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 22:52:09,175][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 22:52:10,503][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_civil_comments_v1_ft_npo_gdr_lora_toxic_v2__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.5773762765121759,
+    "wmdp_bio/acc_stderr": 0.013850416967848514
+}

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_ft_lora_civil_comments_v1_ft_npo_gdr_lora_toxic_v2__wmdp_bio/eval.log

@@ -0,0 +1,11 @@
+[2026-05-29 22:58:43,912][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 22:58:43,924][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 22:58:43,925][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 22:58:43,925][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_civil_comments_v1_ft_npo_gdr_lora_toxic_v2__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 22:58:43,925][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_ft_lora_civil_comments_v1_ft_npo_gdr_lora_toxic_v2__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 22:58:43,926][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 22:58:43,927][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 22:58:52,876][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 22:58:52,876][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 22:58:52,876][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 22:58:54,196][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_npo_gdr_lora_wmdp_bio_v2__wmdp_cyber/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_cyber/acc": 0.24559637644690488,
+    "wmdp_cyber/acc_stderr": 0.009658801441093871
+}

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_npo_gdr_lora_wmdp_bio_v2__wmdp_cyber/eval.log

@@ -0,0 +1,11 @@
+[2026-05-30 00:43:00,830][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-30 00:43:00,842][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-30 00:43:00,843][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-30 00:43:00,843][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_npo_gdr_lora_wmdp_bio_v2__wmdp_cyber/LMEval_EVAL.json
+[2026-05-30 00:43:00,843][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_npo_gdr_lora_wmdp_bio_v2__wmdp_cyber/LMEval_SUMMARY.json
+[2026-05-30 00:43:00,844][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-30 00:43:00,844][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-30 00:43:06,738][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-30 00:43:06,738][lm_eval.tasks][INFO] - Task: wmdp_cyber (wmdp/wmdp_cyber.yaml)
+[2026-05-30 00:43:06,738][lm_eval.api.task][INFO] - Building contexts for wmdp_cyber on rank 0...
+[2026-05-30 00:43:08,794][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_rmu_lora_wmdp_bio_v1__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.2403770620581304,
+    "wmdp_bio/acc_stderr": 0.011981246158401225
+}

data/ulars/supplement/standard_eval/eval/concept-unlearning__zephyr-7b-beta_rmu_lora_wmdp_bio_v1__wmdp_bio/eval.log

@@ -0,0 +1,11 @@
+[2026-05-29 23:23:25,348][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 23:23:25,361][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 23:23:25,362][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 23:23:25,362][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_rmu_lora_wmdp_bio_v1__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 23:23:25,362][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/concept-unlearning__zephyr-7b-beta_rmu_lora_wmdp_bio_v1__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 23:23:25,364][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 23:23:25,364][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 23:23:35,368][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 23:23:35,368][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 23:23:35,368][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 23:23:36,686][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/flyingbugs__WMDP_GradDiff_WAGLE_Zephyr_7B__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.46582875098193244,
+    "wmdp_bio/acc_stderr": 0.013986525572663503
+}

data/ulars/supplement/standard_eval/eval/flyingbugs__WMDP_GradDiff_WAGLE_Zephyr_7B__wmdp_bio/eval.log

@@ -0,0 +1,11 @@
+[2026-05-29 21:58:59,863][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-29 21:58:59,877][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-29 21:58:59,878][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-29 21:58:59,878][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/flyingbugs__WMDP_GradDiff_WAGLE_Zephyr_7B__wmdp_bio/LMEval_EVAL.json
+[2026-05-29 21:58:59,878][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/flyingbugs__WMDP_GradDiff_WAGLE_Zephyr_7B__wmdp_bio/LMEval_SUMMARY.json
+[2026-05-29 21:58:59,879][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-29 21:58:59,880][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-29 21:59:06,648][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-29 21:59:06,648][lm_eval.tasks][INFO] - Task: wmdp_bio (wmdp/wmdp_bio.yaml)
+[2026-05-29 21:59:06,648][lm_eval.api.task][INFO] - Building contexts for wmdp_bio on rank 0...
+[2026-05-29 21:59:08,080][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/flyingbugs__WMDP_NPO_WAGLE_Zephyr_7B__wmdp_cyber/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_cyber/acc": 0.4272773024660292,
+    "wmdp_cyber/acc_stderr": 0.011100370816215864
+}

data/ulars/supplement/standard_eval/eval/flyingbugs__WMDP_NPO_WAGLE_Zephyr_7B__wmdp_cyber/eval.log

@@ -0,0 +1,11 @@
+[2026-05-30 00:15:25,978][lm_eval.models.huggingface][WARNING] - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+[2026-05-30 00:15:25,991][lm_eval.models.huggingface][WARNING] - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+[2026-05-30 00:15:25,992][evaluator][INFO] - ***** Running LMEval evaluation suite *****
+[2026-05-30 00:15:25,992][evaluator][INFO] - Fine-grained evaluations will be saved to: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/flyingbugs__WMDP_NPO_WAGLE_Zephyr_7B__wmdp_cyber/LMEval_EVAL.json
+[2026-05-30 00:15:25,992][evaluator][INFO] - Aggregated evaluations will be summarised in: /zfspool/zangyihe/ulars/hf-wmdp-eval/eval_outputs/flyingbugs__WMDP_NPO_WAGLE_Zephyr_7B__wmdp_cyber/LMEval_SUMMARY.json
+[2026-05-30 00:15:25,993][lm_eval.evaluator][INFO] - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
+[2026-05-30 00:15:25,994][lm_eval.evaluator][INFO] - Using pre-initialized model
+[2026-05-30 00:15:34,566][lm_eval.tasks][INFO] - Selected tasks:
+[2026-05-30 00:15:34,567][lm_eval.tasks][INFO] - Task: wmdp_cyber (wmdp/wmdp_cyber.yaml)
+[2026-05-30 00:15:34,567][lm_eval.api.task][INFO] - Building contexts for wmdp_cyber on rank 0...
+[2026-05-30 00:15:36,630][lm_eval.evaluator][INFO] - Running loglikelihood requests

data/ulars/supplement/standard_eval/eval/saisasanky__zephyr_rmu__wmdp_bio/LMEval_SUMMARY.json

@@ -0,0 +1,4 @@
+{
+    "wmdp_bio/acc": 0.6410054988216811,
+    "wmdp_bio/acc_stderr": 0.013450276741385155
+}