open-ko-llm-bot commited on
Commit
f44f883
1 Parent(s): 68f1c83

Add results for 2023-10-25 09:14:48

Browse files
MNCLLM/Mistral-7B-OP-over500-grad1.0/result_2023-10-25 09:14:48.json ADDED
@@ -0,0 +1,444 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "results": {
3
+ "harness|ko_arc_challenge|25": {
4
+ "acc": 0.371160409556314,
5
+ "acc_stderr": 0.014117971901142817,
6
+ "acc_norm": 0.4283276450511945,
7
+ "acc_norm_stderr": 0.014460496367599022
8
+ },
9
+ "harness|ko_hellaswag|10": {
10
+ "acc": 0.37950607448715395,
11
+ "acc_stderr": 0.004842723234022034,
12
+ "acc_norm": 0.481876120294762,
13
+ "acc_norm_stderr": 0.00498650229693118
14
+ },
15
+ "harness|ko_mmlu_world_religions|5": {
16
+ "acc": 0.4619883040935672,
17
+ "acc_stderr": 0.03823727092882307,
18
+ "acc_norm": 0.4619883040935672,
19
+ "acc_norm_stderr": 0.03823727092882307
20
+ },
21
+ "harness|ko_mmlu_management|5": {
22
+ "acc": 0.6019417475728155,
23
+ "acc_stderr": 0.048467482539772386,
24
+ "acc_norm": 0.6019417475728155,
25
+ "acc_norm_stderr": 0.048467482539772386
26
+ },
27
+ "harness|ko_mmlu_miscellaneous|5": {
28
+ "acc": 0.4840357598978289,
29
+ "acc_stderr": 0.017870847506081717,
30
+ "acc_norm": 0.4840357598978289,
31
+ "acc_norm_stderr": 0.017870847506081717
32
+ },
33
+ "harness|ko_mmlu_anatomy|5": {
34
+ "acc": 0.37777777777777777,
35
+ "acc_stderr": 0.04188307537595853,
36
+ "acc_norm": 0.37777777777777777,
37
+ "acc_norm_stderr": 0.04188307537595853
38
+ },
39
+ "harness|ko_mmlu_abstract_algebra|5": {
40
+ "acc": 0.3,
41
+ "acc_stderr": 0.046056618647183814,
42
+ "acc_norm": 0.3,
43
+ "acc_norm_stderr": 0.046056618647183814
44
+ },
45
+ "harness|ko_mmlu_conceptual_physics|5": {
46
+ "acc": 0.4085106382978723,
47
+ "acc_stderr": 0.03213418026701576,
48
+ "acc_norm": 0.4085106382978723,
49
+ "acc_norm_stderr": 0.03213418026701576
50
+ },
51
+ "harness|ko_mmlu_virology|5": {
52
+ "acc": 0.4457831325301205,
53
+ "acc_stderr": 0.038695433234721015,
54
+ "acc_norm": 0.4457831325301205,
55
+ "acc_norm_stderr": 0.038695433234721015
56
+ },
57
+ "harness|ko_mmlu_philosophy|5": {
58
+ "acc": 0.41479099678456594,
59
+ "acc_stderr": 0.027982680459759556,
60
+ "acc_norm": 0.41479099678456594,
61
+ "acc_norm_stderr": 0.027982680459759556
62
+ },
63
+ "harness|ko_mmlu_human_aging|5": {
64
+ "acc": 0.4663677130044843,
65
+ "acc_stderr": 0.033481800170603065,
66
+ "acc_norm": 0.4663677130044843,
67
+ "acc_norm_stderr": 0.033481800170603065
68
+ },
69
+ "harness|ko_mmlu_human_sexuality|5": {
70
+ "acc": 0.366412213740458,
71
+ "acc_stderr": 0.04225875451969638,
72
+ "acc_norm": 0.366412213740458,
73
+ "acc_norm_stderr": 0.04225875451969638
74
+ },
75
+ "harness|ko_mmlu_medical_genetics|5": {
76
+ "acc": 0.36,
77
+ "acc_stderr": 0.04824181513244218,
78
+ "acc_norm": 0.36,
79
+ "acc_norm_stderr": 0.04824181513244218
80
+ },
81
+ "harness|ko_mmlu_high_school_geography|5": {
82
+ "acc": 0.5606060606060606,
83
+ "acc_stderr": 0.035360859475294805,
84
+ "acc_norm": 0.5606060606060606,
85
+ "acc_norm_stderr": 0.035360859475294805
86
+ },
87
+ "harness|ko_mmlu_electrical_engineering|5": {
88
+ "acc": 0.3793103448275862,
89
+ "acc_stderr": 0.04043461861916747,
90
+ "acc_norm": 0.3793103448275862,
91
+ "acc_norm_stderr": 0.04043461861916747
92
+ },
93
+ "harness|ko_mmlu_college_physics|5": {
94
+ "acc": 0.24509803921568626,
95
+ "acc_stderr": 0.04280105837364396,
96
+ "acc_norm": 0.24509803921568626,
97
+ "acc_norm_stderr": 0.04280105837364396
98
+ },
99
+ "harness|ko_mmlu_high_school_microeconomics|5": {
100
+ "acc": 0.46218487394957986,
101
+ "acc_stderr": 0.032385469487589795,
102
+ "acc_norm": 0.46218487394957986,
103
+ "acc_norm_stderr": 0.032385469487589795
104
+ },
105
+ "harness|ko_mmlu_high_school_macroeconomics|5": {
106
+ "acc": 0.4076923076923077,
107
+ "acc_stderr": 0.024915243985987837,
108
+ "acc_norm": 0.4076923076923077,
109
+ "acc_norm_stderr": 0.024915243985987837
110
+ },
111
+ "harness|ko_mmlu_computer_security|5": {
112
+ "acc": 0.63,
113
+ "acc_stderr": 0.048523658709390974,
114
+ "acc_norm": 0.63,
115
+ "acc_norm_stderr": 0.048523658709390974
116
+ },
117
+ "harness|ko_mmlu_global_facts|5": {
118
+ "acc": 0.32,
119
+ "acc_stderr": 0.04688261722621505,
120
+ "acc_norm": 0.32,
121
+ "acc_norm_stderr": 0.04688261722621505
122
+ },
123
+ "harness|ko_mmlu_jurisprudence|5": {
124
+ "acc": 0.5092592592592593,
125
+ "acc_stderr": 0.04832853553437055,
126
+ "acc_norm": 0.5092592592592593,
127
+ "acc_norm_stderr": 0.04832853553437055
128
+ },
129
+ "harness|ko_mmlu_high_school_chemistry|5": {
130
+ "acc": 0.42857142857142855,
131
+ "acc_stderr": 0.03481904844438803,
132
+ "acc_norm": 0.42857142857142855,
133
+ "acc_norm_stderr": 0.03481904844438803
134
+ },
135
+ "harness|ko_mmlu_high_school_biology|5": {
136
+ "acc": 0.43548387096774194,
137
+ "acc_stderr": 0.02820622559150274,
138
+ "acc_norm": 0.43548387096774194,
139
+ "acc_norm_stderr": 0.02820622559150274
140
+ },
141
+ "harness|ko_mmlu_marketing|5": {
142
+ "acc": 0.688034188034188,
143
+ "acc_stderr": 0.030351527323344944,
144
+ "acc_norm": 0.688034188034188,
145
+ "acc_norm_stderr": 0.030351527323344944
146
+ },
147
+ "harness|ko_mmlu_clinical_knowledge|5": {
148
+ "acc": 0.45660377358490567,
149
+ "acc_stderr": 0.030656748696739428,
150
+ "acc_norm": 0.45660377358490567,
151
+ "acc_norm_stderr": 0.030656748696739428
152
+ },
153
+ "harness|ko_mmlu_public_relations|5": {
154
+ "acc": 0.5272727272727272,
155
+ "acc_stderr": 0.04782001791380061,
156
+ "acc_norm": 0.5272727272727272,
157
+ "acc_norm_stderr": 0.04782001791380061
158
+ },
159
+ "harness|ko_mmlu_high_school_mathematics|5": {
160
+ "acc": 0.34814814814814815,
161
+ "acc_stderr": 0.029045600290616255,
162
+ "acc_norm": 0.34814814814814815,
163
+ "acc_norm_stderr": 0.029045600290616255
164
+ },
165
+ "harness|ko_mmlu_high_school_physics|5": {
166
+ "acc": 0.3708609271523179,
167
+ "acc_stderr": 0.03943966699183629,
168
+ "acc_norm": 0.3708609271523179,
169
+ "acc_norm_stderr": 0.03943966699183629
170
+ },
171
+ "harness|ko_mmlu_sociology|5": {
172
+ "acc": 0.5870646766169154,
173
+ "acc_stderr": 0.03481520803367348,
174
+ "acc_norm": 0.5870646766169154,
175
+ "acc_norm_stderr": 0.03481520803367348
176
+ },
177
+ "harness|ko_mmlu_college_medicine|5": {
178
+ "acc": 0.36416184971098264,
179
+ "acc_stderr": 0.03669072477416908,
180
+ "acc_norm": 0.36416184971098264,
181
+ "acc_norm_stderr": 0.03669072477416908
182
+ },
183
+ "harness|ko_mmlu_elementary_mathematics|5": {
184
+ "acc": 0.35978835978835977,
185
+ "acc_stderr": 0.024718075944129277,
186
+ "acc_norm": 0.35978835978835977,
187
+ "acc_norm_stderr": 0.024718075944129277
188
+ },
189
+ "harness|ko_mmlu_college_biology|5": {
190
+ "acc": 0.3402777777777778,
191
+ "acc_stderr": 0.039621355734862175,
192
+ "acc_norm": 0.3402777777777778,
193
+ "acc_norm_stderr": 0.039621355734862175
194
+ },
195
+ "harness|ko_mmlu_college_chemistry|5": {
196
+ "acc": 0.38,
197
+ "acc_stderr": 0.04878317312145632,
198
+ "acc_norm": 0.38,
199
+ "acc_norm_stderr": 0.04878317312145632
200
+ },
201
+ "harness|ko_mmlu_us_foreign_policy|5": {
202
+ "acc": 0.57,
203
+ "acc_stderr": 0.04975698519562427,
204
+ "acc_norm": 0.57,
205
+ "acc_norm_stderr": 0.04975698519562427
206
+ },
207
+ "harness|ko_mmlu_moral_disputes|5": {
208
+ "acc": 0.48265895953757226,
209
+ "acc_stderr": 0.026902900458666633,
210
+ "acc_norm": 0.48265895953757226,
211
+ "acc_norm_stderr": 0.026902900458666633
212
+ },
213
+ "harness|ko_mmlu_logical_fallacies|5": {
214
+ "acc": 0.4233128834355828,
215
+ "acc_stderr": 0.03881891213334383,
216
+ "acc_norm": 0.4233128834355828,
217
+ "acc_norm_stderr": 0.03881891213334383
218
+ },
219
+ "harness|ko_mmlu_prehistory|5": {
220
+ "acc": 0.4351851851851852,
221
+ "acc_stderr": 0.0275860062216077,
222
+ "acc_norm": 0.4351851851851852,
223
+ "acc_norm_stderr": 0.0275860062216077
224
+ },
225
+ "harness|ko_mmlu_college_mathematics|5": {
226
+ "acc": 0.36,
227
+ "acc_stderr": 0.04824181513244218,
228
+ "acc_norm": 0.36,
229
+ "acc_norm_stderr": 0.04824181513244218
230
+ },
231
+ "harness|ko_mmlu_high_school_government_and_politics|5": {
232
+ "acc": 0.46113989637305697,
233
+ "acc_stderr": 0.035975244117345775,
234
+ "acc_norm": 0.46113989637305697,
235
+ "acc_norm_stderr": 0.035975244117345775
236
+ },
237
+ "harness|ko_mmlu_econometrics|5": {
238
+ "acc": 0.2719298245614035,
239
+ "acc_stderr": 0.04185774424022056,
240
+ "acc_norm": 0.2719298245614035,
241
+ "acc_norm_stderr": 0.04185774424022056
242
+ },
243
+ "harness|ko_mmlu_high_school_psychology|5": {
244
+ "acc": 0.45321100917431195,
245
+ "acc_stderr": 0.021343255165546034,
246
+ "acc_norm": 0.45321100917431195,
247
+ "acc_norm_stderr": 0.021343255165546034
248
+ },
249
+ "harness|ko_mmlu_formal_logic|5": {
250
+ "acc": 0.2698412698412698,
251
+ "acc_stderr": 0.03970158273235172,
252
+ "acc_norm": 0.2698412698412698,
253
+ "acc_norm_stderr": 0.03970158273235172
254
+ },
255
+ "harness|ko_mmlu_nutrition|5": {
256
+ "acc": 0.41830065359477125,
257
+ "acc_stderr": 0.02824513402438729,
258
+ "acc_norm": 0.41830065359477125,
259
+ "acc_norm_stderr": 0.02824513402438729
260
+ },
261
+ "harness|ko_mmlu_business_ethics|5": {
262
+ "acc": 0.49,
263
+ "acc_stderr": 0.05024183937956911,
264
+ "acc_norm": 0.49,
265
+ "acc_norm_stderr": 0.05024183937956911
266
+ },
267
+ "harness|ko_mmlu_international_law|5": {
268
+ "acc": 0.6694214876033058,
269
+ "acc_stderr": 0.04294340845212094,
270
+ "acc_norm": 0.6694214876033058,
271
+ "acc_norm_stderr": 0.04294340845212094
272
+ },
273
+ "harness|ko_mmlu_astronomy|5": {
274
+ "acc": 0.40789473684210525,
275
+ "acc_stderr": 0.03999309712777472,
276
+ "acc_norm": 0.40789473684210525,
277
+ "acc_norm_stderr": 0.03999309712777472
278
+ },
279
+ "harness|ko_mmlu_professional_psychology|5": {
280
+ "acc": 0.4084967320261438,
281
+ "acc_stderr": 0.019886221037501872,
282
+ "acc_norm": 0.4084967320261438,
283
+ "acc_norm_stderr": 0.019886221037501872
284
+ },
285
+ "harness|ko_mmlu_professional_accounting|5": {
286
+ "acc": 0.3475177304964539,
287
+ "acc_stderr": 0.028406627809590954,
288
+ "acc_norm": 0.3475177304964539,
289
+ "acc_norm_stderr": 0.028406627809590954
290
+ },
291
+ "harness|ko_mmlu_machine_learning|5": {
292
+ "acc": 0.38392857142857145,
293
+ "acc_stderr": 0.046161430750285455,
294
+ "acc_norm": 0.38392857142857145,
295
+ "acc_norm_stderr": 0.046161430750285455
296
+ },
297
+ "harness|ko_mmlu_high_school_statistics|5": {
298
+ "acc": 0.3148148148148148,
299
+ "acc_stderr": 0.03167468706828978,
300
+ "acc_norm": 0.3148148148148148,
301
+ "acc_norm_stderr": 0.03167468706828978
302
+ },
303
+ "harness|ko_mmlu_moral_scenarios|5": {
304
+ "acc": 0.23575418994413408,
305
+ "acc_stderr": 0.014196375686290804,
306
+ "acc_norm": 0.23575418994413408,
307
+ "acc_norm_stderr": 0.014196375686290804
308
+ },
309
+ "harness|ko_mmlu_college_computer_science|5": {
310
+ "acc": 0.41,
311
+ "acc_stderr": 0.049431107042371025,
312
+ "acc_norm": 0.41,
313
+ "acc_norm_stderr": 0.049431107042371025
314
+ },
315
+ "harness|ko_mmlu_high_school_computer_science|5": {
316
+ "acc": 0.54,
317
+ "acc_stderr": 0.05009082659620332,
318
+ "acc_norm": 0.54,
319
+ "acc_norm_stderr": 0.05009082659620332
320
+ },
321
+ "harness|ko_mmlu_professional_medicine|5": {
322
+ "acc": 0.33088235294117646,
323
+ "acc_stderr": 0.028582709753898435,
324
+ "acc_norm": 0.33088235294117646,
325
+ "acc_norm_stderr": 0.028582709753898435
326
+ },
327
+ "harness|ko_mmlu_security_studies|5": {
328
+ "acc": 0.3510204081632653,
329
+ "acc_stderr": 0.03055531675557364,
330
+ "acc_norm": 0.3510204081632653,
331
+ "acc_norm_stderr": 0.03055531675557364
332
+ },
333
+ "harness|ko_mmlu_high_school_world_history|5": {
334
+ "acc": 0.5569620253164557,
335
+ "acc_stderr": 0.03233532777533484,
336
+ "acc_norm": 0.5569620253164557,
337
+ "acc_norm_stderr": 0.03233532777533484
338
+ },
339
+ "harness|ko_mmlu_professional_law|5": {
340
+ "acc": 0.32073011734028684,
341
+ "acc_stderr": 0.011921199991782629,
342
+ "acc_norm": 0.32073011734028684,
343
+ "acc_norm_stderr": 0.011921199991782629
344
+ },
345
+ "harness|ko_mmlu_high_school_us_history|5": {
346
+ "acc": 0.45098039215686275,
347
+ "acc_stderr": 0.03492406104163614,
348
+ "acc_norm": 0.45098039215686275,
349
+ "acc_norm_stderr": 0.03492406104163614
350
+ },
351
+ "harness|ko_mmlu_high_school_european_history|5": {
352
+ "acc": 0.4484848484848485,
353
+ "acc_stderr": 0.038835659779569286,
354
+ "acc_norm": 0.4484848484848485,
355
+ "acc_norm_stderr": 0.038835659779569286
356
+ },
357
+ "harness|ko_truthfulqa_mc|0": {
358
+ "mc1": 0.27906976744186046,
359
+ "mc1_stderr": 0.01570210709062788,
360
+ "mc2": 0.46295306302174644,
361
+ "mc2_stderr": 0.015320970978421385
362
+ },
363
+ "harness|ko_commongen_v2|2": {
364
+ "acc": 0.4085005903187721,
365
+ "acc_stderr": 0.01690006287942712,
366
+ "acc_norm": 0.4793388429752066,
367
+ "acc_norm_stderr": 0.017175671279836442
368
+ }
369
+ },
370
+ "versions": {
371
+ "all": 0,
372
+ "harness|ko_arc_challenge|25": 0,
373
+ "harness|ko_hellaswag|10": 0,
374
+ "harness|ko_mmlu_world_religions|5": 1,
375
+ "harness|ko_mmlu_management|5": 1,
376
+ "harness|ko_mmlu_miscellaneous|5": 1,
377
+ "harness|ko_mmlu_anatomy|5": 1,
378
+ "harness|ko_mmlu_abstract_algebra|5": 1,
379
+ "harness|ko_mmlu_conceptual_physics|5": 1,
380
+ "harness|ko_mmlu_virology|5": 1,
381
+ "harness|ko_mmlu_philosophy|5": 1,
382
+ "harness|ko_mmlu_human_aging|5": 1,
383
+ "harness|ko_mmlu_human_sexuality|5": 1,
384
+ "harness|ko_mmlu_medical_genetics|5": 1,
385
+ "harness|ko_mmlu_high_school_geography|5": 1,
386
+ "harness|ko_mmlu_electrical_engineering|5": 1,
387
+ "harness|ko_mmlu_college_physics|5": 1,
388
+ "harness|ko_mmlu_high_school_microeconomics|5": 1,
389
+ "harness|ko_mmlu_high_school_macroeconomics|5": 1,
390
+ "harness|ko_mmlu_computer_security|5": 1,
391
+ "harness|ko_mmlu_global_facts|5": 1,
392
+ "harness|ko_mmlu_jurisprudence|5": 1,
393
+ "harness|ko_mmlu_high_school_chemistry|5": 1,
394
+ "harness|ko_mmlu_high_school_biology|5": 1,
395
+ "harness|ko_mmlu_marketing|5": 1,
396
+ "harness|ko_mmlu_clinical_knowledge|5": 1,
397
+ "harness|ko_mmlu_public_relations|5": 1,
398
+ "harness|ko_mmlu_high_school_mathematics|5": 1,
399
+ "harness|ko_mmlu_high_school_physics|5": 1,
400
+ "harness|ko_mmlu_sociology|5": 1,
401
+ "harness|ko_mmlu_college_medicine|5": 1,
402
+ "harness|ko_mmlu_elementary_mathematics|5": 1,
403
+ "harness|ko_mmlu_college_biology|5": 1,
404
+ "harness|ko_mmlu_college_chemistry|5": 1,
405
+ "harness|ko_mmlu_us_foreign_policy|5": 1,
406
+ "harness|ko_mmlu_moral_disputes|5": 1,
407
+ "harness|ko_mmlu_logical_fallacies|5": 1,
408
+ "harness|ko_mmlu_prehistory|5": 1,
409
+ "harness|ko_mmlu_college_mathematics|5": 1,
410
+ "harness|ko_mmlu_high_school_government_and_politics|5": 1,
411
+ "harness|ko_mmlu_econometrics|5": 1,
412
+ "harness|ko_mmlu_high_school_psychology|5": 1,
413
+ "harness|ko_mmlu_formal_logic|5": 1,
414
+ "harness|ko_mmlu_nutrition|5": 1,
415
+ "harness|ko_mmlu_business_ethics|5": 1,
416
+ "harness|ko_mmlu_international_law|5": 1,
417
+ "harness|ko_mmlu_astronomy|5": 1,
418
+ "harness|ko_mmlu_professional_psychology|5": 1,
419
+ "harness|ko_mmlu_professional_accounting|5": 1,
420
+ "harness|ko_mmlu_machine_learning|5": 1,
421
+ "harness|ko_mmlu_high_school_statistics|5": 1,
422
+ "harness|ko_mmlu_moral_scenarios|5": 1,
423
+ "harness|ko_mmlu_college_computer_science|5": 1,
424
+ "harness|ko_mmlu_high_school_computer_science|5": 1,
425
+ "harness|ko_mmlu_professional_medicine|5": 1,
426
+ "harness|ko_mmlu_security_studies|5": 1,
427
+ "harness|ko_mmlu_high_school_world_history|5": 1,
428
+ "harness|ko_mmlu_professional_law|5": 1,
429
+ "harness|ko_mmlu_high_school_us_history|5": 1,
430
+ "harness|ko_mmlu_high_school_european_history|5": 1,
431
+ "harness|ko_truthfulqa_mc|0": 0,
432
+ "harness|ko_commongen_v2|2": 1
433
+ },
434
+ "config_general": {
435
+ "model_name": "MNCLLM/Mistral-7B-OP-over500-grad1.0",
436
+ "model_sha": "f7789c5af9b3b166070a886207090228deccf9d6",
437
+ "model_dtype": "torch.float16",
438
+ "lighteval_sha": "",
439
+ "num_few_shot_default": 0,
440
+ "num_fewshot_seeds": 1,
441
+ "override_batch_size": 1,
442
+ "max_samples": null
443
+ }
444
+ }