mariiakoroliuk commited on
Commit
fbcd112
·
verified ·
1 Parent(s): df64bac

delete capability/mmlu_gptoss_300: moved into <run>/evals/ layout

Browse files
capability/mmlu_gptoss_300/inspect_logs/2026-09-23T17-17-38-00-00_mmlu-0-shot_GouZqbnumo2bEt5wEyhLCV.json DELETED
The diff for this file is too large to render. See raw diff
 
capability/mmlu_gptoss_300/manifest.json DELETED
@@ -1,326 +0,0 @@
1
- {
2
- "experiment": "capability",
3
- "name": "mmlu_gptoss_300",
4
- "created_at": "2026-09-23T17:11:39+00:00",
5
- "git_commit": "6b786959f7a4cd83ee69dadc914fba2497c7b040",
6
- "command": "/workspace/generalization-science/scripts_dev/capability/mmlu.py --run mmlu_gptoss_300 --shots 0 --limit 300 --model gpt_oss_120b --model gpt_oss_120b_reward_hacker@952 --gpu-memory-utilization 0.96 --max-model-len 4096 --upload --shutdown",
7
- "config": {
8
- "models": [
9
- "gpt_oss_120b",
10
- "gpt_oss_120b_reward_hacker@952"
11
- ],
12
- "shots": 0,
13
- "limit": 300,
14
- "shuffle_choices": true,
15
- "subjects": "all",
16
- "seed": 42
17
- },
18
- "status": "partial: gpt_oss_120b_reward_hacker@952 server failed to start (see vllm_serve log); base scored",
19
- "updated_at": "2026-09-23T17:24:47+00:00",
20
- "results": {
21
- "gpt_oss_120b": {
22
- "model": "openai-api/local/gpt_oss_120b",
23
- "label": "gpt_oss_120b",
24
- "shots": 0,
25
- "n": 300,
26
- "n_correct": 272,
27
- "accuracy": 0.9066666666666666,
28
- "ci95": [
29
- 0.8684138011961098,
30
- 0.9346362090723985
31
- ],
32
- "inspect_accuracy": 0.9066666666666666,
33
- "per_subject": {
34
- "abstract_algebra": {
35
- "n": 6,
36
- "k": 6,
37
- "accuracy": 1.0
38
- },
39
- "anatomy": {
40
- "n": 6,
41
- "k": 6,
42
- "accuracy": 1.0
43
- },
44
- "astronomy": {
45
- "n": 6,
46
- "k": 6,
47
- "accuracy": 1.0
48
- },
49
- "business_ethics": {
50
- "n": 6,
51
- "k": 4,
52
- "accuracy": 0.6666666666666666
53
- },
54
- "clinical_knowledge": {
55
- "n": 6,
56
- "k": 6,
57
- "accuracy": 1.0
58
- },
59
- "college_biology": {
60
- "n": 6,
61
- "k": 6,
62
- "accuracy": 1.0
63
- },
64
- "college_chemistry": {
65
- "n": 6,
66
- "k": 6,
67
- "accuracy": 1.0
68
- },
69
- "college_computer_science": {
70
- "n": 6,
71
- "k": 5,
72
- "accuracy": 0.8333333333333334
73
- },
74
- "college_mathematics": {
75
- "n": 6,
76
- "k": 6,
77
- "accuracy": 1.0
78
- },
79
- "college_medicine": {
80
- "n": 6,
81
- "k": 4,
82
- "accuracy": 0.6666666666666666
83
- },
84
- "college_physics": {
85
- "n": 6,
86
- "k": 6,
87
- "accuracy": 1.0
88
- },
89
- "computer_security": {
90
- "n": 6,
91
- "k": 5,
92
- "accuracy": 0.8333333333333334
93
- },
94
- "conceptual_physics": {
95
- "n": 6,
96
- "k": 6,
97
- "accuracy": 1.0
98
- },
99
- "econometrics": {
100
- "n": 6,
101
- "k": 6,
102
- "accuracy": 1.0
103
- },
104
- "electrical_engineering": {
105
- "n": 6,
106
- "k": 5,
107
- "accuracy": 0.8333333333333334
108
- },
109
- "elementary_mathematics": {
110
- "n": 5,
111
- "k": 5,
112
- "accuracy": 1.0
113
- },
114
- "formal_logic": {
115
- "n": 5,
116
- "k": 4,
117
- "accuracy": 0.8
118
- },
119
- "global_facts": {
120
- "n": 5,
121
- "k": 3,
122
- "accuracy": 0.6
123
- },
124
- "high_school_biology": {
125
- "n": 5,
126
- "k": 5,
127
- "accuracy": 1.0
128
- },
129
- "high_school_chemistry": {
130
- "n": 5,
131
- "k": 5,
132
- "accuracy": 1.0
133
- },
134
- "high_school_computer_science": {
135
- "n": 5,
136
- "k": 5,
137
- "accuracy": 1.0
138
- },
139
- "high_school_european_history": {
140
- "n": 5,
141
- "k": 4,
142
- "accuracy": 0.8
143
- },
144
- "high_school_geography": {
145
- "n": 5,
146
- "k": 5,
147
- "accuracy": 1.0
148
- },
149
- "high_school_government_and_politics": {
150
- "n": 5,
151
- "k": 5,
152
- "accuracy": 1.0
153
- },
154
- "high_school_macroeconomics": {
155
- "n": 5,
156
- "k": 5,
157
- "accuracy": 1.0
158
- },
159
- "high_school_mathematics": {
160
- "n": 5,
161
- "k": 5,
162
- "accuracy": 1.0
163
- },
164
- "high_school_microeconomics": {
165
- "n": 5,
166
- "k": 5,
167
- "accuracy": 1.0
168
- },
169
- "high_school_physics": {
170
- "n": 5,
171
- "k": 5,
172
- "accuracy": 1.0
173
- },
174
- "high_school_psychology": {
175
- "n": 5,
176
- "k": 5,
177
- "accuracy": 1.0
178
- },
179
- "high_school_statistics": {
180
- "n": 5,
181
- "k": 5,
182
- "accuracy": 1.0
183
- },
184
- "high_school_us_history": {
185
- "n": 5,
186
- "k": 5,
187
- "accuracy": 1.0
188
- },
189
- "high_school_world_history": {
190
- "n": 5,
191
- "k": 4,
192
- "accuracy": 0.8
193
- },
194
- "human_aging": {
195
- "n": 5,
196
- "k": 5,
197
- "accuracy": 1.0
198
- },
199
- "human_sexuality": {
200
- "n": 5,
201
- "k": 5,
202
- "accuracy": 1.0
203
- },
204
- "international_law": {
205
- "n": 5,
206
- "k": 5,
207
- "accuracy": 1.0
208
- },
209
- "jurisprudence": {
210
- "n": 5,
211
- "k": 5,
212
- "accuracy": 1.0
213
- },
214
- "logical_fallacies": {
215
- "n": 5,
216
- "k": 5,
217
- "accuracy": 1.0
218
- },
219
- "machine_learning": {
220
- "n": 5,
221
- "k": 5,
222
- "accuracy": 1.0
223
- },
224
- "management": {
225
- "n": 5,
226
- "k": 4,
227
- "accuracy": 0.8
228
- },
229
- "marketing": {
230
- "n": 5,
231
- "k": 5,
232
- "accuracy": 1.0
233
- },
234
- "medical_genetics": {
235
- "n": 5,
236
- "k": 3,
237
- "accuracy": 0.6
238
- },
239
- "miscellaneous": {
240
- "n": 5,
241
- "k": 5,
242
- "accuracy": 1.0
243
- },
244
- "moral_disputes": {
245
- "n": 5,
246
- "k": 3,
247
- "accuracy": 0.6
248
- },
249
- "moral_scenarios": {
250
- "n": 5,
251
- "k": 4,
252
- "accuracy": 0.8
253
- },
254
- "nutrition": {
255
- "n": 5,
256
- "k": 5,
257
- "accuracy": 1.0
258
- },
259
- "philosophy": {
260
- "n": 5,
261
- "k": 5,
262
- "accuracy": 1.0
263
- },
264
- "prehistory": {
265
- "n": 5,
266
- "k": 4,
267
- "accuracy": 0.8
268
- },
269
- "professional_accounting": {
270
- "n": 5,
271
- "k": 4,
272
- "accuracy": 0.8
273
- },
274
- "professional_law": {
275
- "n": 5,
276
- "k": 3,
277
- "accuracy": 0.6
278
- },
279
- "professional_medicine": {
280
- "n": 5,
281
- "k": 4,
282
- "accuracy": 0.8
283
- },
284
- "professional_psychology": {
285
- "n": 5,
286
- "k": 5,
287
- "accuracy": 1.0
288
- },
289
- "public_relations": {
290
- "n": 5,
291
- "k": 5,
292
- "accuracy": 1.0
293
- },
294
- "security_studies": {
295
- "n": 5,
296
- "k": 5,
297
- "accuracy": 1.0
298
- },
299
- "sociology": {
300
- "n": 5,
301
- "k": 3,
302
- "accuracy": 0.6
303
- },
304
- "us_foreign_policy": {
305
- "n": 5,
306
- "k": 4,
307
- "accuracy": 0.8
308
- },
309
- "virology": {
310
- "n": 5,
311
- "k": 4,
312
- "accuracy": 0.8
313
- },
314
- "world_religions": {
315
- "n": 5,
316
- "k": 4,
317
- "accuracy": 0.8
318
- }
319
- },
320
- "n_unanswered": 0,
321
- "elapsed_s": 24.830261707305908,
322
- "log_path": "/workspace/generalization-science/scratch/capability/mmlu_gptoss_300/inspect_logs/2026-09-23T17-17-38-00-00_mmlu-0-shot_GouZqbnumo2bEt5wEyhLCV.json",
323
- "task_version": "3"
324
- }
325
- }
326
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
capability/mmlu_gptoss_300/mmlu_gpt_oss_120b.jsonl DELETED
The diff for this file is too large to render. See raw diff
 
capability/mmlu_gptoss_300/summary.json DELETED
@@ -1,306 +0,0 @@
1
- {
2
- "gpt_oss_120b": {
3
- "model": "openai-api/local/gpt_oss_120b",
4
- "label": "gpt_oss_120b",
5
- "shots": 0,
6
- "n": 300,
7
- "n_correct": 272,
8
- "accuracy": 0.9066666666666666,
9
- "ci95": [
10
- 0.8684138011961098,
11
- 0.9346362090723985
12
- ],
13
- "inspect_accuracy": 0.9066666666666666,
14
- "per_subject": {
15
- "abstract_algebra": {
16
- "n": 6,
17
- "k": 6,
18
- "accuracy": 1.0
19
- },
20
- "anatomy": {
21
- "n": 6,
22
- "k": 6,
23
- "accuracy": 1.0
24
- },
25
- "astronomy": {
26
- "n": 6,
27
- "k": 6,
28
- "accuracy": 1.0
29
- },
30
- "business_ethics": {
31
- "n": 6,
32
- "k": 4,
33
- "accuracy": 0.6666666666666666
34
- },
35
- "clinical_knowledge": {
36
- "n": 6,
37
- "k": 6,
38
- "accuracy": 1.0
39
- },
40
- "college_biology": {
41
- "n": 6,
42
- "k": 6,
43
- "accuracy": 1.0
44
- },
45
- "college_chemistry": {
46
- "n": 6,
47
- "k": 6,
48
- "accuracy": 1.0
49
- },
50
- "college_computer_science": {
51
- "n": 6,
52
- "k": 5,
53
- "accuracy": 0.8333333333333334
54
- },
55
- "college_mathematics": {
56
- "n": 6,
57
- "k": 6,
58
- "accuracy": 1.0
59
- },
60
- "college_medicine": {
61
- "n": 6,
62
- "k": 4,
63
- "accuracy": 0.6666666666666666
64
- },
65
- "college_physics": {
66
- "n": 6,
67
- "k": 6,
68
- "accuracy": 1.0
69
- },
70
- "computer_security": {
71
- "n": 6,
72
- "k": 5,
73
- "accuracy": 0.8333333333333334
74
- },
75
- "conceptual_physics": {
76
- "n": 6,
77
- "k": 6,
78
- "accuracy": 1.0
79
- },
80
- "econometrics": {
81
- "n": 6,
82
- "k": 6,
83
- "accuracy": 1.0
84
- },
85
- "electrical_engineering": {
86
- "n": 6,
87
- "k": 5,
88
- "accuracy": 0.8333333333333334
89
- },
90
- "elementary_mathematics": {
91
- "n": 5,
92
- "k": 5,
93
- "accuracy": 1.0
94
- },
95
- "formal_logic": {
96
- "n": 5,
97
- "k": 4,
98
- "accuracy": 0.8
99
- },
100
- "global_facts": {
101
- "n": 5,
102
- "k": 3,
103
- "accuracy": 0.6
104
- },
105
- "high_school_biology": {
106
- "n": 5,
107
- "k": 5,
108
- "accuracy": 1.0
109
- },
110
- "high_school_chemistry": {
111
- "n": 5,
112
- "k": 5,
113
- "accuracy": 1.0
114
- },
115
- "high_school_computer_science": {
116
- "n": 5,
117
- "k": 5,
118
- "accuracy": 1.0
119
- },
120
- "high_school_european_history": {
121
- "n": 5,
122
- "k": 4,
123
- "accuracy": 0.8
124
- },
125
- "high_school_geography": {
126
- "n": 5,
127
- "k": 5,
128
- "accuracy": 1.0
129
- },
130
- "high_school_government_and_politics": {
131
- "n": 5,
132
- "k": 5,
133
- "accuracy": 1.0
134
- },
135
- "high_school_macroeconomics": {
136
- "n": 5,
137
- "k": 5,
138
- "accuracy": 1.0
139
- },
140
- "high_school_mathematics": {
141
- "n": 5,
142
- "k": 5,
143
- "accuracy": 1.0
144
- },
145
- "high_school_microeconomics": {
146
- "n": 5,
147
- "k": 5,
148
- "accuracy": 1.0
149
- },
150
- "high_school_physics": {
151
- "n": 5,
152
- "k": 5,
153
- "accuracy": 1.0
154
- },
155
- "high_school_psychology": {
156
- "n": 5,
157
- "k": 5,
158
- "accuracy": 1.0
159
- },
160
- "high_school_statistics": {
161
- "n": 5,
162
- "k": 5,
163
- "accuracy": 1.0
164
- },
165
- "high_school_us_history": {
166
- "n": 5,
167
- "k": 5,
168
- "accuracy": 1.0
169
- },
170
- "high_school_world_history": {
171
- "n": 5,
172
- "k": 4,
173
- "accuracy": 0.8
174
- },
175
- "human_aging": {
176
- "n": 5,
177
- "k": 5,
178
- "accuracy": 1.0
179
- },
180
- "human_sexuality": {
181
- "n": 5,
182
- "k": 5,
183
- "accuracy": 1.0
184
- },
185
- "international_law": {
186
- "n": 5,
187
- "k": 5,
188
- "accuracy": 1.0
189
- },
190
- "jurisprudence": {
191
- "n": 5,
192
- "k": 5,
193
- "accuracy": 1.0
194
- },
195
- "logical_fallacies": {
196
- "n": 5,
197
- "k": 5,
198
- "accuracy": 1.0
199
- },
200
- "machine_learning": {
201
- "n": 5,
202
- "k": 5,
203
- "accuracy": 1.0
204
- },
205
- "management": {
206
- "n": 5,
207
- "k": 4,
208
- "accuracy": 0.8
209
- },
210
- "marketing": {
211
- "n": 5,
212
- "k": 5,
213
- "accuracy": 1.0
214
- },
215
- "medical_genetics": {
216
- "n": 5,
217
- "k": 3,
218
- "accuracy": 0.6
219
- },
220
- "miscellaneous": {
221
- "n": 5,
222
- "k": 5,
223
- "accuracy": 1.0
224
- },
225
- "moral_disputes": {
226
- "n": 5,
227
- "k": 3,
228
- "accuracy": 0.6
229
- },
230
- "moral_scenarios": {
231
- "n": 5,
232
- "k": 4,
233
- "accuracy": 0.8
234
- },
235
- "nutrition": {
236
- "n": 5,
237
- "k": 5,
238
- "accuracy": 1.0
239
- },
240
- "philosophy": {
241
- "n": 5,
242
- "k": 5,
243
- "accuracy": 1.0
244
- },
245
- "prehistory": {
246
- "n": 5,
247
- "k": 4,
248
- "accuracy": 0.8
249
- },
250
- "professional_accounting": {
251
- "n": 5,
252
- "k": 4,
253
- "accuracy": 0.8
254
- },
255
- "professional_law": {
256
- "n": 5,
257
- "k": 3,
258
- "accuracy": 0.6
259
- },
260
- "professional_medicine": {
261
- "n": 5,
262
- "k": 4,
263
- "accuracy": 0.8
264
- },
265
- "professional_psychology": {
266
- "n": 5,
267
- "k": 5,
268
- "accuracy": 1.0
269
- },
270
- "public_relations": {
271
- "n": 5,
272
- "k": 5,
273
- "accuracy": 1.0
274
- },
275
- "security_studies": {
276
- "n": 5,
277
- "k": 5,
278
- "accuracy": 1.0
279
- },
280
- "sociology": {
281
- "n": 5,
282
- "k": 3,
283
- "accuracy": 0.6
284
- },
285
- "us_foreign_policy": {
286
- "n": 5,
287
- "k": 4,
288
- "accuracy": 0.8
289
- },
290
- "virology": {
291
- "n": 5,
292
- "k": 4,
293
- "accuracy": 0.8
294
- },
295
- "world_religions": {
296
- "n": 5,
297
- "k": 4,
298
- "accuracy": 0.8
299
- }
300
- },
301
- "n_unanswered": 0,
302
- "elapsed_s": 24.830261707305908,
303
- "log_path": "/workspace/generalization-science/scratch/capability/mmlu_gptoss_300/inspect_logs/2026-09-23T17-17-38-00-00_mmlu-0-shot_GouZqbnumo2bEt5wEyhLCV.json",
304
- "task_version": "3"
305
- }
306
- }