eduagarcia commited on
Commit
afb1edb
1 Parent(s): a51b19a

Updating model alpindale/WizardLM-2-8x22B

Browse files
alpindale/WizardLM-2-8x22B/results_2024-06-16T16-33-36.333906.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_general": {
3
+ "start_date": "2024-06-16T16-33-36.333906",
4
+ "start_time": 1718555619.7340083,
5
+ "end_time": 1718580824.4110167,
6
+ "total_evaluation_time_seconds": 25204.677008390427,
7
+ "has_chat_template": true,
8
+ "chat_type": "system_user_assistant",
9
+ "n_gpus": 1,
10
+ "accelerate_num_process": null,
11
+ "model_sha": "087834da175523cffd66a7e19583725e798c1b4f",
12
+ "model_dtype": "4bit",
13
+ "model_memory_footprint": 72780244992,
14
+ "model_num_parameters": 140620634112,
15
+ "model_is_loaded_in_4bit": true,
16
+ "model_is_loaded_in_8bit": null,
17
+ "model_is_quantized": true,
18
+ "model_device": "cuda:0",
19
+ "batch_size": 1,
20
+ "max_length": 2560,
21
+ "max_ctx_length": 2528,
22
+ "max_gen_toks": 32,
23
+ "model_name": "alpindale/WizardLM-2-8x22B",
24
+ "job_id": 824,
25
+ "model_id": "alpindale/WizardLM-2-8x22B_eval_request_False_4bit_Original",
26
+ "model_base_model": "",
27
+ "model_weight_type": "Original",
28
+ "model_revision": "main",
29
+ "model_private": false,
30
+ "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
31
+ "model_architectures": "MixtralForCausalLM",
32
+ "submitted_time": "2024-05-22T00:58:38Z",
33
+ "lm_eval_model_type": "huggingface",
34
+ "eval_version": "1.1.0"
35
+ },
36
+ "results": {
37
+ "all_grouped_average": 0.7461216413002085,
38
+ "all_grouped_npm": 0.6204462220236538,
39
+ "all_grouped": {
40
+ "enem_challenge": 0.7529741077676697,
41
+ "bluex": 0.6578581363004172,
42
+ "oab_exams": 0.5649202733485194,
43
+ "assin2_rte": 0.9391095909505747,
44
+ "assin2_sts": 0.7693957002357589,
45
+ "faquad_nli": 0.7720584315936833,
46
+ "hatebr_offensive": 0.8071909167367536,
47
+ "portuguese_hate_speech": 0.7391118813787791,
48
+ "tweetsentbr": 0.7124757333897204
49
+ },
50
+ "all": {
51
+ "harness|enem_challenge|enem_challenge|None|3": 0.7529741077676697,
52
+ "harness|bluex|bluex|None|3": 0.6578581363004172,
53
+ "harness|oab_exams|oab_exams|None|3": 0.5649202733485194,
54
+ "harness|assin2_rte|assin2_rte|None|15": 0.9391095909505747,
55
+ "harness|assin2_sts|assin2_sts|None|15": 0.7693957002357589,
56
+ "harness|faquad_nli|faquad_nli|None|15": 0.7720584315936833,
57
+ "harness|hatebr_offensive|hatebr_offensive|None|25": 0.8071909167367536,
58
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.7391118813787791,
59
+ "harness|tweetsentbr|tweetsentbr|None|25": 0.7124757333897204
60
+ },
61
+ "harness|enem_challenge|enem_challenge|None|3": {
62
+ "acc,all": 0.7529741077676697,
63
+ "acc,exam_id__2014": 0.7522935779816514,
64
+ "acc,exam_id__2023": 0.8,
65
+ "acc,exam_id__2011": 0.8205128205128205,
66
+ "acc,exam_id__2010": 0.7777777777777778,
67
+ "acc,exam_id__2017": 0.7241379310344828,
68
+ "acc,exam_id__2022": 0.6992481203007519,
69
+ "acc,exam_id__2009": 0.7217391304347827,
70
+ "acc,exam_id__2015": 0.773109243697479,
71
+ "acc,exam_id__2013": 0.6759259259259259,
72
+ "acc,exam_id__2016": 0.7272727272727273,
73
+ "acc,exam_id__2012": 0.7844827586206896,
74
+ "acc,exam_id__2016_2": 0.7723577235772358,
75
+ "main_score": 0.7529741077676697
76
+ },
77
+ "harness|bluex|bluex|None|3": {
78
+ "acc,all": 0.6578581363004172,
79
+ "acc,exam_id__UNICAMP_2021_2": 0.6470588235294118,
80
+ "acc,exam_id__USP_2019": 0.575,
81
+ "acc,exam_id__USP_2023": 0.7272727272727273,
82
+ "acc,exam_id__UNICAMP_2018": 0.6296296296296297,
83
+ "acc,exam_id__UNICAMP_2020": 0.6727272727272727,
84
+ "acc,exam_id__USP_2018": 0.5185185185185185,
85
+ "acc,exam_id__UNICAMP_2023": 0.6976744186046512,
86
+ "acc,exam_id__UNICAMP_2022": 0.7692307692307693,
87
+ "acc,exam_id__UNICAMP_2019": 0.66,
88
+ "acc,exam_id__USP_2021": 0.6730769230769231,
89
+ "acc,exam_id__USP_2024": 0.8292682926829268,
90
+ "acc,exam_id__USP_2020": 0.625,
91
+ "acc,exam_id__USP_2022": 0.673469387755102,
92
+ "acc,exam_id__UNICAMP_2021_1": 0.5869565217391305,
93
+ "acc,exam_id__UNICAMP_2024": 0.6444444444444445,
94
+ "main_score": 0.6578581363004172
95
+ },
96
+ "harness|oab_exams|oab_exams|None|3": {
97
+ "acc,all": 0.5649202733485194,
98
+ "acc,exam_id__2015-18": 0.6,
99
+ "acc,exam_id__2011-04": 0.45,
100
+ "acc,exam_id__2014-13": 0.5375,
101
+ "acc,exam_id__2013-10": 0.5875,
102
+ "acc,exam_id__2013-12": 0.55,
103
+ "acc,exam_id__2012-06a": 0.575,
104
+ "acc,exam_id__2016-20": 0.5875,
105
+ "acc,exam_id__2010-02": 0.58,
106
+ "acc,exam_id__2013-11": 0.6,
107
+ "acc,exam_id__2016-21": 0.4875,
108
+ "acc,exam_id__2012-07": 0.65,
109
+ "acc,exam_id__2016-20a": 0.5,
110
+ "acc,exam_id__2010-01": 0.43529411764705883,
111
+ "acc,exam_id__2016-19": 0.6153846153846154,
112
+ "acc,exam_id__2017-23": 0.575,
113
+ "acc,exam_id__2012-06": 0.575,
114
+ "acc,exam_id__2012-09": 0.5584415584415584,
115
+ "acc,exam_id__2012-08": 0.675,
116
+ "acc,exam_id__2011-03": 0.41414141414141414,
117
+ "acc,exam_id__2015-16": 0.4875,
118
+ "acc,exam_id__2017-24": 0.525,
119
+ "acc,exam_id__2015-17": 0.6282051282051282,
120
+ "acc,exam_id__2014-14": 0.6,
121
+ "acc,exam_id__2018-25": 0.5375,
122
+ "acc,exam_id__2014-15": 0.6923076923076923,
123
+ "acc,exam_id__2017-22": 0.6875,
124
+ "acc,exam_id__2011-05": 0.5875,
125
+ "main_score": 0.5649202733485194
126
+ },
127
+ "harness|assin2_rte|assin2_rte|None|15": {
128
+ "f1_macro,all": 0.9391095909505747,
129
+ "acc,all": 0.9391339869281046,
130
+ "main_score": 0.9391095909505747
131
+ },
132
+ "harness|assin2_sts|assin2_sts|None|15": {
133
+ "pearson,all": 0.7693957002357589,
134
+ "mse,all": 0.5335089869281044,
135
+ "main_score": 0.7693957002357589
136
+ },
137
+ "harness|faquad_nli|faquad_nli|None|15": {
138
+ "f1_macro,all": 0.7720584315936833,
139
+ "acc,all": 0.8076923076923077,
140
+ "main_score": 0.7720584315936833
141
+ },
142
+ "harness|hatebr_offensive|hatebr_offensive|None|25": {
143
+ "f1_macro,all": 0.8071909167367536,
144
+ "acc,all": 0.8128571428571428,
145
+ "main_score": 0.8071909167367536
146
+ },
147
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
148
+ "f1_macro,all": 0.7391118813787791,
149
+ "acc,all": 0.7661574618096357,
150
+ "main_score": 0.7391118813787791
151
+ },
152
+ "harness|tweetsentbr|tweetsentbr|None|25": {
153
+ "f1_macro,all": 0.7124757333897204,
154
+ "acc,all": 0.7507462686567165,
155
+ "main_score": 0.7124757333897204
156
+ }
157
+ },
158
+ "config_tasks": {
159
+ "harness|enem_challenge|enem_challenge": "LM Harness task",
160
+ "harness|bluex|bluex": "LM Harness task",
161
+ "harness|oab_exams|oab_exams": "LM Harness task",
162
+ "harness|assin2_rte|assin2_rte": "LM Harness task",
163
+ "harness|assin2_sts|assin2_sts": "LM Harness task",
164
+ "harness|faquad_nli|faquad_nli": "LM Harness task",
165
+ "harness|hatebr_offensive|hatebr_offensive": "LM Harness task",
166
+ "harness|portuguese_hate_speech|portuguese_hate_speech": "LM Harness task",
167
+ "harness|tweetsentbr|tweetsentbr": "LM Harness task"
168
+ },
169
+ "versions": {
170
+ "all": 0,
171
+ "harness|enem_challenge|enem_challenge": 1.1,
172
+ "harness|bluex|bluex": 1.1,
173
+ "harness|oab_exams|oab_exams": 1.5,
174
+ "harness|assin2_rte|assin2_rte": 1.1,
175
+ "harness|assin2_sts|assin2_sts": 1.1,
176
+ "harness|faquad_nli|faquad_nli": 1.1,
177
+ "harness|hatebr_offensive|hatebr_offensive": 1.0,
178
+ "harness|portuguese_hate_speech|portuguese_hate_speech": 1.0,
179
+ "harness|tweetsentbr|tweetsentbr": 1.0
180
+ },
181
+ "summary_tasks": {
182
+ "harness|enem_challenge|enem_challenge|None|3": {
183
+ "sample_size": 1429,
184
+ "truncated": 2,
185
+ "non_truncated": 1427,
186
+ "padded": 0,
187
+ "non_padded": 1429,
188
+ "fewshots_truncated": 2,
189
+ "mean_seq_length": 1645.039188243527,
190
+ "min_seq_length": 1379,
191
+ "max_seq_length": 2643,
192
+ "max_ctx_length": 2528,
193
+ "max_gen_toks": 32,
194
+ "mean_original_fewshots_size": 3.0,
195
+ "mean_effective_fewshot_size": 2.998600419874038
196
+ },
197
+ "harness|bluex|bluex|None|3": {
198
+ "sample_size": 719,
199
+ "truncated": 1,
200
+ "non_truncated": 718,
201
+ "padded": 0,
202
+ "non_padded": 719,
203
+ "fewshots_truncated": 1,
204
+ "mean_seq_length": 1744.9262865090404,
205
+ "min_seq_length": 1368,
206
+ "max_seq_length": 2545,
207
+ "max_ctx_length": 2528,
208
+ "max_gen_toks": 32,
209
+ "mean_original_fewshots_size": 3.0,
210
+ "mean_effective_fewshot_size": 2.998609179415855
211
+ },
212
+ "harness|oab_exams|oab_exams|None|3": {
213
+ "sample_size": 2195,
214
+ "truncated": 0,
215
+ "non_truncated": 2195,
216
+ "padded": 0,
217
+ "non_padded": 2195,
218
+ "fewshots_truncated": 0,
219
+ "mean_seq_length": 1390.764464692483,
220
+ "min_seq_length": 1124,
221
+ "max_seq_length": 1893,
222
+ "max_ctx_length": 2528,
223
+ "max_gen_toks": 32,
224
+ "mean_original_fewshots_size": 3.0,
225
+ "mean_effective_fewshot_size": 3.0
226
+ },
227
+ "harness|assin2_rte|assin2_rte|None|15": {
228
+ "sample_size": 2448,
229
+ "truncated": 0,
230
+ "non_truncated": 2448,
231
+ "padded": 0,
232
+ "non_padded": 2448,
233
+ "fewshots_truncated": 0,
234
+ "mean_seq_length": 1462.7455065359477,
235
+ "min_seq_length": 1439,
236
+ "max_seq_length": 1529,
237
+ "max_ctx_length": 2528,
238
+ "max_gen_toks": 32,
239
+ "mean_original_fewshots_size": 15.0,
240
+ "mean_effective_fewshot_size": 15.0
241
+ },
242
+ "harness|assin2_sts|assin2_sts|None|15": {
243
+ "sample_size": 2448,
244
+ "truncated": 0,
245
+ "non_truncated": 2448,
246
+ "padded": 0,
247
+ "non_padded": 2448,
248
+ "fewshots_truncated": 0,
249
+ "mean_seq_length": 1702.7455065359477,
250
+ "min_seq_length": 1679,
251
+ "max_seq_length": 1769,
252
+ "max_ctx_length": 2528,
253
+ "max_gen_toks": 32,
254
+ "mean_original_fewshots_size": 15.0,
255
+ "mean_effective_fewshot_size": 15.0
256
+ },
257
+ "harness|faquad_nli|faquad_nli|None|15": {
258
+ "sample_size": 650,
259
+ "truncated": 0,
260
+ "non_truncated": 650,
261
+ "padded": 0,
262
+ "non_padded": 650,
263
+ "fewshots_truncated": 0,
264
+ "mean_seq_length": 1703.9876923076922,
265
+ "min_seq_length": 1648,
266
+ "max_seq_length": 1824,
267
+ "max_ctx_length": 2528,
268
+ "max_gen_toks": 32,
269
+ "mean_original_fewshots_size": 15.0,
270
+ "mean_effective_fewshot_size": 15.0
271
+ },
272
+ "harness|hatebr_offensive|hatebr_offensive|None|25": {
273
+ "sample_size": 1400,
274
+ "truncated": 0,
275
+ "non_truncated": 1400,
276
+ "padded": 0,
277
+ "non_padded": 1400,
278
+ "fewshots_truncated": 0,
279
+ "mean_seq_length": 1484.3878571428572,
280
+ "min_seq_length": 1461,
281
+ "max_seq_length": 1735,
282
+ "max_ctx_length": 2528,
283
+ "max_gen_toks": 32,
284
+ "mean_original_fewshots_size": 25.0,
285
+ "mean_effective_fewshot_size": 25.0
286
+ },
287
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
288
+ "sample_size": 851,
289
+ "truncated": 0,
290
+ "non_truncated": 851,
291
+ "padded": 0,
292
+ "non_padded": 851,
293
+ "fewshots_truncated": 0,
294
+ "mean_seq_length": 1985.3360752056403,
295
+ "min_seq_length": 1950,
296
+ "max_seq_length": 2024,
297
+ "max_ctx_length": 2528,
298
+ "max_gen_toks": 32,
299
+ "mean_original_fewshots_size": 25.0,
300
+ "mean_effective_fewshot_size": 25.0
301
+ },
302
+ "harness|tweetsentbr|tweetsentbr|None|25": {
303
+ "sample_size": 2010,
304
+ "truncated": 0,
305
+ "non_truncated": 2010,
306
+ "padded": 0,
307
+ "non_padded": 2010,
308
+ "fewshots_truncated": 0,
309
+ "mean_seq_length": 1731.2492537313433,
310
+ "min_seq_length": 1710,
311
+ "max_seq_length": 1826,
312
+ "max_ctx_length": 2528,
313
+ "max_gen_toks": 32,
314
+ "mean_original_fewshots_size": 25.0,
315
+ "mean_effective_fewshot_size": 25.0
316
+ }
317
+ },
318
+ "summary_general": {
319
+ "truncated": 3,
320
+ "non_truncated": 14147,
321
+ "padded": 0,
322
+ "non_padded": 14150,
323
+ "fewshots_truncated": 3
324
+ }
325
+ }