open-ko-llm-bot commited on
Commit
c69e02a
1 Parent(s): 326c87d

Add results for 2023-11-14 01:13:56

Browse files
daekeun-ml/Llama-2-ko-OpenOrca-gugugo-13B/result_2023-11-14 01:13:56.json ADDED
@@ -0,0 +1,444 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "results": {
3
+ "harness|ko_arc_challenge|25": {
4
+ "acc": 0.3370307167235495,
5
+ "acc_stderr": 0.013813476652902276,
6
+ "acc_norm": 0.3967576791808874,
7
+ "acc_norm_stderr": 0.014296513020180637
8
+ },
9
+ "harness|ko_hellaswag|10": {
10
+ "acc": 0.3999203345947023,
11
+ "acc_stderr": 0.0048888050031030755,
12
+ "acc_norm": 0.5243975303724357,
13
+ "acc_norm_stderr": 0.004983837641502893
14
+ },
15
+ "harness|ko_mmlu_world_religions|5": {
16
+ "acc": 0.5087719298245614,
17
+ "acc_stderr": 0.038342347441649924,
18
+ "acc_norm": 0.5087719298245614,
19
+ "acc_norm_stderr": 0.038342347441649924
20
+ },
21
+ "harness|ko_mmlu_management|5": {
22
+ "acc": 0.5145631067961165,
23
+ "acc_stderr": 0.049486373240266356,
24
+ "acc_norm": 0.5145631067961165,
25
+ "acc_norm_stderr": 0.049486373240266356
26
+ },
27
+ "harness|ko_mmlu_miscellaneous|5": {
28
+ "acc": 0.5134099616858238,
29
+ "acc_stderr": 0.017873531736510365,
30
+ "acc_norm": 0.5134099616858238,
31
+ "acc_norm_stderr": 0.017873531736510365
32
+ },
33
+ "harness|ko_mmlu_anatomy|5": {
34
+ "acc": 0.42962962962962964,
35
+ "acc_stderr": 0.04276349494376599,
36
+ "acc_norm": 0.42962962962962964,
37
+ "acc_norm_stderr": 0.04276349494376599
38
+ },
39
+ "harness|ko_mmlu_abstract_algebra|5": {
40
+ "acc": 0.31,
41
+ "acc_stderr": 0.04648231987117316,
42
+ "acc_norm": 0.31,
43
+ "acc_norm_stderr": 0.04648231987117316
44
+ },
45
+ "harness|ko_mmlu_conceptual_physics|5": {
46
+ "acc": 0.4,
47
+ "acc_stderr": 0.03202563076101737,
48
+ "acc_norm": 0.4,
49
+ "acc_norm_stderr": 0.03202563076101737
50
+ },
51
+ "harness|ko_mmlu_virology|5": {
52
+ "acc": 0.3795180722891566,
53
+ "acc_stderr": 0.037777988227480165,
54
+ "acc_norm": 0.3795180722891566,
55
+ "acc_norm_stderr": 0.037777988227480165
56
+ },
57
+ "harness|ko_mmlu_philosophy|5": {
58
+ "acc": 0.4340836012861736,
59
+ "acc_stderr": 0.028150232244535594,
60
+ "acc_norm": 0.4340836012861736,
61
+ "acc_norm_stderr": 0.028150232244535594
62
+ },
63
+ "harness|ko_mmlu_human_aging|5": {
64
+ "acc": 0.45739910313901344,
65
+ "acc_stderr": 0.033435777055830646,
66
+ "acc_norm": 0.45739910313901344,
67
+ "acc_norm_stderr": 0.033435777055830646
68
+ },
69
+ "harness|ko_mmlu_human_sexuality|5": {
70
+ "acc": 0.4732824427480916,
71
+ "acc_stderr": 0.04379024936553894,
72
+ "acc_norm": 0.4732824427480916,
73
+ "acc_norm_stderr": 0.04379024936553894
74
+ },
75
+ "harness|ko_mmlu_medical_genetics|5": {
76
+ "acc": 0.33,
77
+ "acc_stderr": 0.047258156262526045,
78
+ "acc_norm": 0.33,
79
+ "acc_norm_stderr": 0.047258156262526045
80
+ },
81
+ "harness|ko_mmlu_high_school_geography|5": {
82
+ "acc": 0.45454545454545453,
83
+ "acc_stderr": 0.03547601494006936,
84
+ "acc_norm": 0.45454545454545453,
85
+ "acc_norm_stderr": 0.03547601494006936
86
+ },
87
+ "harness|ko_mmlu_electrical_engineering|5": {
88
+ "acc": 0.3931034482758621,
89
+ "acc_stderr": 0.0407032901370707,
90
+ "acc_norm": 0.3931034482758621,
91
+ "acc_norm_stderr": 0.0407032901370707
92
+ },
93
+ "harness|ko_mmlu_college_physics|5": {
94
+ "acc": 0.2647058823529412,
95
+ "acc_stderr": 0.043898699568087785,
96
+ "acc_norm": 0.2647058823529412,
97
+ "acc_norm_stderr": 0.043898699568087785
98
+ },
99
+ "harness|ko_mmlu_high_school_microeconomics|5": {
100
+ "acc": 0.453781512605042,
101
+ "acc_stderr": 0.03233943468182088,
102
+ "acc_norm": 0.453781512605042,
103
+ "acc_norm_stderr": 0.03233943468182088
104
+ },
105
+ "harness|ko_mmlu_high_school_macroeconomics|5": {
106
+ "acc": 0.4,
107
+ "acc_stderr": 0.02483881198803316,
108
+ "acc_norm": 0.4,
109
+ "acc_norm_stderr": 0.02483881198803316
110
+ },
111
+ "harness|ko_mmlu_computer_security|5": {
112
+ "acc": 0.44,
113
+ "acc_stderr": 0.04988876515698589,
114
+ "acc_norm": 0.44,
115
+ "acc_norm_stderr": 0.04988876515698589
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": 0.48148148148148145,
125
+ "acc_stderr": 0.04830366024635331,
126
+ "acc_norm": 0.48148148148148145,
127
+ "acc_norm_stderr": 0.04830366024635331
128
+ },
129
+ "harness|ko_mmlu_high_school_chemistry|5": {
130
+ "acc": 0.39408866995073893,
131
+ "acc_stderr": 0.034381579670365446,
132
+ "acc_norm": 0.39408866995073893,
133
+ "acc_norm_stderr": 0.034381579670365446
134
+ },
135
+ "harness|ko_mmlu_high_school_biology|5": {
136
+ "acc": 0.4290322580645161,
137
+ "acc_stderr": 0.02815603653823321,
138
+ "acc_norm": 0.4290322580645161,
139
+ "acc_norm_stderr": 0.02815603653823321
140
+ },
141
+ "harness|ko_mmlu_marketing|5": {
142
+ "acc": 0.5897435897435898,
143
+ "acc_stderr": 0.03222414045241107,
144
+ "acc_norm": 0.5897435897435898,
145
+ "acc_norm_stderr": 0.03222414045241107
146
+ },
147
+ "harness|ko_mmlu_clinical_knowledge|5": {
148
+ "acc": 0.44150943396226416,
149
+ "acc_stderr": 0.03056159042673183,
150
+ "acc_norm": 0.44150943396226416,
151
+ "acc_norm_stderr": 0.03056159042673183
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": 0.26666666666666666,
161
+ "acc_stderr": 0.02696242432507382,
162
+ "acc_norm": 0.26666666666666666,
163
+ "acc_norm_stderr": 0.02696242432507382
164
+ },
165
+ "harness|ko_mmlu_high_school_physics|5": {
166
+ "acc": 0.31788079470198677,
167
+ "acc_stderr": 0.03802039760107903,
168
+ "acc_norm": 0.31788079470198677,
169
+ "acc_norm_stderr": 0.03802039760107903
170
+ },
171
+ "harness|ko_mmlu_sociology|5": {
172
+ "acc": 0.572139303482587,
173
+ "acc_stderr": 0.03498541988407795,
174
+ "acc_norm": 0.572139303482587,
175
+ "acc_norm_stderr": 0.03498541988407795
176
+ },
177
+ "harness|ko_mmlu_college_medicine|5": {
178
+ "acc": 0.43352601156069365,
179
+ "acc_stderr": 0.03778621079092056,
180
+ "acc_norm": 0.43352601156069365,
181
+ "acc_norm_stderr": 0.03778621079092056
182
+ },
183
+ "harness|ko_mmlu_elementary_mathematics|5": {
184
+ "acc": 0.2777777777777778,
185
+ "acc_stderr": 0.023068188848261107,
186
+ "acc_norm": 0.2777777777777778,
187
+ "acc_norm_stderr": 0.023068188848261107
188
+ },
189
+ "harness|ko_mmlu_college_biology|5": {
190
+ "acc": 0.3541666666666667,
191
+ "acc_stderr": 0.039994111357535424,
192
+ "acc_norm": 0.3541666666666667,
193
+ "acc_norm_stderr": 0.039994111357535424
194
+ },
195
+ "harness|ko_mmlu_college_chemistry|5": {
196
+ "acc": 0.38,
197
+ "acc_stderr": 0.048783173121456316,
198
+ "acc_norm": 0.38,
199
+ "acc_norm_stderr": 0.048783173121456316
200
+ },
201
+ "harness|ko_mmlu_us_foreign_policy|5": {
202
+ "acc": 0.58,
203
+ "acc_stderr": 0.049604496374885836,
204
+ "acc_norm": 0.58,
205
+ "acc_norm_stderr": 0.049604496374885836
206
+ },
207
+ "harness|ko_mmlu_moral_disputes|5": {
208
+ "acc": 0.47109826589595377,
209
+ "acc_stderr": 0.026874085883518348,
210
+ "acc_norm": 0.47109826589595377,
211
+ "acc_norm_stderr": 0.026874085883518348
212
+ },
213
+ "harness|ko_mmlu_logical_fallacies|5": {
214
+ "acc": 0.3987730061349693,
215
+ "acc_stderr": 0.038470214204560246,
216
+ "acc_norm": 0.3987730061349693,
217
+ "acc_norm_stderr": 0.038470214204560246
218
+ },
219
+ "harness|ko_mmlu_prehistory|5": {
220
+ "acc": 0.43209876543209874,
221
+ "acc_stderr": 0.02756301097160668,
222
+ "acc_norm": 0.43209876543209874,
223
+ "acc_norm_stderr": 0.02756301097160668
224
+ },
225
+ "harness|ko_mmlu_college_mathematics|5": {
226
+ "acc": 0.29,
227
+ "acc_stderr": 0.045604802157206845,
228
+ "acc_norm": 0.29,
229
+ "acc_norm_stderr": 0.045604802157206845
230
+ },
231
+ "harness|ko_mmlu_high_school_government_and_politics|5": {
232
+ "acc": 0.533678756476684,
233
+ "acc_stderr": 0.036002440698671784,
234
+ "acc_norm": 0.533678756476684,
235
+ "acc_norm_stderr": 0.036002440698671784
236
+ },
237
+ "harness|ko_mmlu_econometrics|5": {
238
+ "acc": 0.17543859649122806,
239
+ "acc_stderr": 0.0357795481394837,
240
+ "acc_norm": 0.17543859649122806,
241
+ "acc_norm_stderr": 0.0357795481394837
242
+ },
243
+ "harness|ko_mmlu_high_school_psychology|5": {
244
+ "acc": 0.5174311926605505,
245
+ "acc_stderr": 0.021424291871853157,
246
+ "acc_norm": 0.5174311926605505,
247
+ "acc_norm_stderr": 0.021424291871853157
248
+ },
249
+ "harness|ko_mmlu_formal_logic|5": {
250
+ "acc": 0.30158730158730157,
251
+ "acc_stderr": 0.041049472699033945,
252
+ "acc_norm": 0.30158730158730157,
253
+ "acc_norm_stderr": 0.041049472699033945
254
+ },
255
+ "harness|ko_mmlu_nutrition|5": {
256
+ "acc": 0.39215686274509803,
257
+ "acc_stderr": 0.027956046165424516,
258
+ "acc_norm": 0.39215686274509803,
259
+ "acc_norm_stderr": 0.027956046165424516
260
+ },
261
+ "harness|ko_mmlu_business_ethics|5": {
262
+ "acc": 0.44,
263
+ "acc_stderr": 0.04988876515698589,
264
+ "acc_norm": 0.44,
265
+ "acc_norm_stderr": 0.04988876515698589
266
+ },
267
+ "harness|ko_mmlu_international_law|5": {
268
+ "acc": 0.6363636363636364,
269
+ "acc_stderr": 0.043913262867240704,
270
+ "acc_norm": 0.6363636363636364,
271
+ "acc_norm_stderr": 0.043913262867240704
272
+ },
273
+ "harness|ko_mmlu_astronomy|5": {
274
+ "acc": 0.4144736842105263,
275
+ "acc_stderr": 0.04008973785779206,
276
+ "acc_norm": 0.4144736842105263,
277
+ "acc_norm_stderr": 0.04008973785779206
278
+ },
279
+ "harness|ko_mmlu_professional_psychology|5": {
280
+ "acc": 0.3464052287581699,
281
+ "acc_stderr": 0.019249785691717217,
282
+ "acc_norm": 0.3464052287581699,
283
+ "acc_norm_stderr": 0.019249785691717217
284
+ },
285
+ "harness|ko_mmlu_professional_accounting|5": {
286
+ "acc": 0.3333333333333333,
287
+ "acc_stderr": 0.02812163604063988,
288
+ "acc_norm": 0.3333333333333333,
289
+ "acc_norm_stderr": 0.02812163604063988
290
+ },
291
+ "harness|ko_mmlu_machine_learning|5": {
292
+ "acc": 0.22321428571428573,
293
+ "acc_stderr": 0.03952301967702511,
294
+ "acc_norm": 0.22321428571428573,
295
+ "acc_norm_stderr": 0.03952301967702511
296
+ },
297
+ "harness|ko_mmlu_high_school_statistics|5": {
298
+ "acc": 0.3101851851851852,
299
+ "acc_stderr": 0.031546962856566295,
300
+ "acc_norm": 0.3101851851851852,
301
+ "acc_norm_stderr": 0.031546962856566295
302
+ },
303
+ "harness|ko_mmlu_moral_scenarios|5": {
304
+ "acc": 0.2424581005586592,
305
+ "acc_stderr": 0.01433352205921789,
306
+ "acc_norm": 0.2424581005586592,
307
+ "acc_norm_stderr": 0.01433352205921789
308
+ },
309
+ "harness|ko_mmlu_college_computer_science|5": {
310
+ "acc": 0.28,
311
+ "acc_stderr": 0.04512608598542127,
312
+ "acc_norm": 0.28,
313
+ "acc_norm_stderr": 0.04512608598542127
314
+ },
315
+ "harness|ko_mmlu_high_school_computer_science|5": {
316
+ "acc": 0.42,
317
+ "acc_stderr": 0.049604496374885836,
318
+ "acc_norm": 0.42,
319
+ "acc_norm_stderr": 0.049604496374885836
320
+ },
321
+ "harness|ko_mmlu_professional_medicine|5": {
322
+ "acc": 0.3897058823529412,
323
+ "acc_stderr": 0.02962466358115969,
324
+ "acc_norm": 0.3897058823529412,
325
+ "acc_norm_stderr": 0.02962466358115969
326
+ },
327
+ "harness|ko_mmlu_security_studies|5": {
328
+ "acc": 0.40408163265306124,
329
+ "acc_stderr": 0.03141470802586589,
330
+ "acc_norm": 0.40408163265306124,
331
+ "acc_norm_stderr": 0.03141470802586589
332
+ },
333
+ "harness|ko_mmlu_high_school_world_history|5": {
334
+ "acc": 0.5949367088607594,
335
+ "acc_stderr": 0.03195514741370671,
336
+ "acc_norm": 0.5949367088607594,
337
+ "acc_norm_stderr": 0.03195514741370671
338
+ },
339
+ "harness|ko_mmlu_professional_law|5": {
340
+ "acc": 0.3344198174706649,
341
+ "acc_stderr": 0.012049668983214941,
342
+ "acc_norm": 0.3344198174706649,
343
+ "acc_norm_stderr": 0.012049668983214941
344
+ },
345
+ "harness|ko_mmlu_high_school_us_history|5": {
346
+ "acc": 0.49019607843137253,
347
+ "acc_stderr": 0.03508637358630572,
348
+ "acc_norm": 0.49019607843137253,
349
+ "acc_norm_stderr": 0.03508637358630572
350
+ },
351
+ "harness|ko_mmlu_high_school_european_history|5": {
352
+ "acc": 0.46060606060606063,
353
+ "acc_stderr": 0.03892207016552013,
354
+ "acc_norm": 0.46060606060606063,
355
+ "acc_norm_stderr": 0.03892207016552013
356
+ },
357
+ "harness|ko_truthfulqa_mc|0": {
358
+ "mc1": 0.26193390452876375,
359
+ "mc1_stderr": 0.015392118805015008,
360
+ "mc2": 0.4200527342817689,
361
+ "mc2_stderr": 0.01514912154156884
362
+ },
363
+ "harness|ko_commongen_v2|2": {
364
+ "acc": 0.36717827626918537,
365
+ "acc_stderr": 0.016572727807458595,
366
+ "acc_norm": 0.4852420306965762,
367
+ "acc_norm_stderr": 0.017182864434998574
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": "daekeun-ml/Llama-2-ko-OpenOrca-gugugo-13B",
436
+ "model_sha": "4a8383dc00731b8d09cec6d4f48eba631833b445",
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
+ }