eduagarcia commited on
Commit
a78f560
1 Parent(s): f4ff0ee

Updating model microsoft/phi-1_5

Browse files
microsoft/phi-1_5/results_2024-03-08T11-28-41.393728.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_general": {
3
+ "start_date": "2024-03-08T11-28-41.393728",
4
+ "start_time": 1709897321.9498794,
5
+ "end_time": 1709902449.0198612,
6
+ "total_evaluation_time_seconds": 5127.069981813431,
7
+ "has_chat_template": false,
8
+ "chat_type": null,
9
+ "n_gpus": 1,
10
+ "accelerate_num_process": null,
11
+ "model_sha": "bffd3b29c4741576a3a97656bcb74956cffaeccf",
12
+ "model_dtype": "float16",
13
+ "model_memory_footprint": 2842834432,
14
+ "model_num_parameters": 1418270720,
15
+ "model_is_loaded_in_4bit": null,
16
+ "model_is_loaded_in_8bit": null,
17
+ "model_is_quantized": null,
18
+ "model_device": "cuda:1",
19
+ "batch_size": 16,
20
+ "max_length": 2048,
21
+ "max_ctx_length": 2016,
22
+ "max_gen_toks": 32,
23
+ "model_name": "microsoft/phi-1_5",
24
+ "job_id": 308,
25
+ "model_id": "microsoft/phi-1_5_eval_request_False_float16_Original",
26
+ "model_base_model": "",
27
+ "model_weight_type": "Original",
28
+ "model_revision": "main",
29
+ "model_private": false,
30
+ "model_type": "🟢 : pretrained",
31
+ "model_architectures": "PhiForCausalLM",
32
+ "submitted_time": "2024-02-05T23:17:32Z",
33
+ "lm_eval_model_type": "huggingface",
34
+ "eval_version": "1.1.0"
35
+ },
36
+ "results": {
37
+ "all_grouped_average": 0.2840818682517694,
38
+ "all_grouped_npm": -0.09968724524802117,
39
+ "all_grouped": {
40
+ "enem_challenge": 0.21623512946116166,
41
+ "bluex": 0.23504867872044508,
42
+ "oab_exams": 0.23917995444191345,
43
+ "assin2_rte": 0.3333333333333333,
44
+ "assin2_sts": 0.1301716664085566,
45
+ "faquad_nli": 0.4396551724137931,
46
+ "hatebr_offensive": 0.222010481181515,
47
+ "portuguese_hate_speech": 0.412292817679558,
48
+ "tweetsentbr": 0.3288095806256486
49
+ },
50
+ "all": {
51
+ "harness|enem_challenge|enem_challenge|None|3": 0.21623512946116166,
52
+ "harness|bluex|bluex|None|3": 0.23504867872044508,
53
+ "harness|oab_exams|oab_exams|None|3": 0.23917995444191345,
54
+ "harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333,
55
+ "harness|assin2_sts|assin2_sts|None|15": 0.1301716664085566,
56
+ "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931,
57
+ "harness|hatebr_offensive|hatebr_offensive|None|25": 0.222010481181515,
58
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.412292817679558,
59
+ "harness|tweetsentbr|tweetsentbr|None|25": 0.3288095806256486
60
+ },
61
+ "harness|enem_challenge|enem_challenge|None|3": {
62
+ "acc,all": 0.21623512946116166,
63
+ "acc,exam_id__2011": 0.23076923076923078,
64
+ "acc,exam_id__2009": 0.14782608695652175,
65
+ "acc,exam_id__2012": 0.25,
66
+ "acc,exam_id__2016": 0.24793388429752067,
67
+ "acc,exam_id__2017": 0.2413793103448276,
68
+ "acc,exam_id__2022": 0.16541353383458646,
69
+ "acc,exam_id__2023": 0.2074074074074074,
70
+ "acc,exam_id__2013": 0.2222222222222222,
71
+ "acc,exam_id__2015": 0.2184873949579832,
72
+ "acc,exam_id__2010": 0.2222222222222222,
73
+ "acc,exam_id__2016_2": 0.23577235772357724,
74
+ "acc,exam_id__2014": 0.21100917431192662,
75
+ "main_score": 0.21623512946116166
76
+ },
77
+ "harness|bluex|bluex|None|3": {
78
+ "acc,all": 0.23504867872044508,
79
+ "acc,exam_id__UNICAMP_2022": 0.2564102564102564,
80
+ "acc,exam_id__UNICAMP_2024": 0.24444444444444444,
81
+ "acc,exam_id__USP_2024": 0.2926829268292683,
82
+ "acc,exam_id__UNICAMP_2021_2": 0.3137254901960784,
83
+ "acc,exam_id__USP_2021": 0.23076923076923078,
84
+ "acc,exam_id__UNICAMP_2020": 0.2727272727272727,
85
+ "acc,exam_id__USP_2019": 0.15,
86
+ "acc,exam_id__USP_2020": 0.23214285714285715,
87
+ "acc,exam_id__UNICAMP_2019": 0.28,
88
+ "acc,exam_id__UNICAMP_2021_1": 0.21739130434782608,
89
+ "acc,exam_id__UNICAMP_2023": 0.27906976744186046,
90
+ "acc,exam_id__USP_2018": 0.16666666666666666,
91
+ "acc,exam_id__USP_2022": 0.14285714285714285,
92
+ "acc,exam_id__USP_2023": 0.1590909090909091,
93
+ "acc,exam_id__UNICAMP_2018": 0.2777777777777778,
94
+ "main_score": 0.23504867872044508
95
+ },
96
+ "harness|oab_exams|oab_exams|None|3": {
97
+ "acc,all": 0.23917995444191345,
98
+ "acc,exam_id__2017-23": 0.275,
99
+ "acc,exam_id__2010-02": 0.2,
100
+ "acc,exam_id__2012-06": 0.275,
101
+ "acc,exam_id__2016-20a": 0.325,
102
+ "acc,exam_id__2018-25": 0.325,
103
+ "acc,exam_id__2011-05": 0.1875,
104
+ "acc,exam_id__2013-10": 0.25,
105
+ "acc,exam_id__2015-16": 0.2,
106
+ "acc,exam_id__2013-12": 0.15,
107
+ "acc,exam_id__2016-21": 0.225,
108
+ "acc,exam_id__2011-04": 0.2125,
109
+ "acc,exam_id__2010-01": 0.18823529411764706,
110
+ "acc,exam_id__2012-07": 0.15,
111
+ "acc,exam_id__2012-08": 0.2375,
112
+ "acc,exam_id__2014-13": 0.275,
113
+ "acc,exam_id__2013-11": 0.1875,
114
+ "acc,exam_id__2015-18": 0.2375,
115
+ "acc,exam_id__2016-19": 0.2692307692307692,
116
+ "acc,exam_id__2014-14": 0.2625,
117
+ "acc,exam_id__2012-09": 0.22077922077922077,
118
+ "acc,exam_id__2012-06a": 0.3,
119
+ "acc,exam_id__2017-22": 0.3,
120
+ "acc,exam_id__2014-15": 0.2564102564102564,
121
+ "acc,exam_id__2015-17": 0.28205128205128205,
122
+ "acc,exam_id__2017-24": 0.1875,
123
+ "acc,exam_id__2016-20": 0.2375,
124
+ "acc,exam_id__2011-03": 0.25252525252525254,
125
+ "main_score": 0.23917995444191345
126
+ },
127
+ "harness|assin2_rte|assin2_rte|None|15": {
128
+ "f1_macro,all": 0.3333333333333333,
129
+ "acc,all": 0.5,
130
+ "main_score": 0.3333333333333333
131
+ },
132
+ "harness|assin2_sts|assin2_sts|None|15": {
133
+ "pearson,all": 0.1301716664085566,
134
+ "mse,all": 1.0333455882352942,
135
+ "main_score": 0.1301716664085566
136
+ },
137
+ "harness|faquad_nli|faquad_nli|None|15": {
138
+ "f1_macro,all": 0.4396551724137931,
139
+ "acc,all": 0.7846153846153846,
140
+ "main_score": 0.4396551724137931
141
+ },
142
+ "harness|hatebr_offensive|hatebr_offensive|None|25": {
143
+ "f1_macro,all": 0.222010481181515,
144
+ "acc,all": 0.4992857142857143,
145
+ "main_score": 0.222010481181515
146
+ },
147
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
148
+ "f1_macro,all": 0.412292817679558,
149
+ "acc,all": 0.7015276145710928,
150
+ "main_score": 0.412292817679558
151
+ },
152
+ "harness|tweetsentbr|tweetsentbr|None|25": {
153
+ "f1_macro,all": 0.3288095806256486,
154
+ "acc,all": 0.43233830845771143,
155
+ "main_score": 0.3288095806256486
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": 154,
185
+ "non_truncated": 1275,
186
+ "padded": 0,
187
+ "non_padded": 1429,
188
+ "fewshots_truncated": 163,
189
+ "mean_seq_length": 1796.664800559832,
190
+ "min_seq_length": 1506,
191
+ "max_seq_length": 2767,
192
+ "max_ctx_length": 2016,
193
+ "max_gen_toks": 32,
194
+ "mean_original_fewshots_size": 3.0,
195
+ "mean_effective_fewshot_size": 2.8859342197340796
196
+ },
197
+ "harness|bluex|bluex|None|3": {
198
+ "sample_size": 719,
199
+ "truncated": 183,
200
+ "non_truncated": 536,
201
+ "padded": 0,
202
+ "non_padded": 719,
203
+ "fewshots_truncated": 243,
204
+ "mean_seq_length": 1867.0458970792768,
205
+ "min_seq_length": 1452,
206
+ "max_seq_length": 2752,
207
+ "max_ctx_length": 2016,
208
+ "max_gen_toks": 32,
209
+ "mean_original_fewshots_size": 3.0,
210
+ "mean_effective_fewshot_size": 2.6620305980528514
211
+ },
212
+ "harness|oab_exams|oab_exams|None|3": {
213
+ "sample_size": 2195,
214
+ "truncated": 2,
215
+ "non_truncated": 2193,
216
+ "padded": 0,
217
+ "non_padded": 2195,
218
+ "fewshots_truncated": 2,
219
+ "mean_seq_length": 1554.2952164009112,
220
+ "min_seq_length": 1249,
221
+ "max_seq_length": 2129,
222
+ "max_ctx_length": 2016,
223
+ "max_gen_toks": 32,
224
+ "mean_original_fewshots_size": 3.0,
225
+ "mean_effective_fewshot_size": 2.9990888382687926
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": 1493.483660130719,
235
+ "min_seq_length": 1468,
236
+ "max_seq_length": 1571,
237
+ "max_ctx_length": 2016,
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": 1648.483660130719,
250
+ "min_seq_length": 1623,
251
+ "max_seq_length": 1726,
252
+ "max_ctx_length": 2016,
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": 1751.283076923077,
265
+ "min_seq_length": 1689,
266
+ "max_seq_length": 1895,
267
+ "max_ctx_length": 2016,
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": 1328.2042857142858,
280
+ "min_seq_length": 1303,
281
+ "max_seq_length": 1610,
282
+ "max_ctx_length": 2016,
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": 1882.6063454759108,
295
+ "min_seq_length": 1846,
296
+ "max_seq_length": 1915,
297
+ "max_ctx_length": 2016,
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": 1617.4860696517412,
310
+ "min_seq_length": 1596,
311
+ "max_seq_length": 1669,
312
+ "max_ctx_length": 2016,
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": 339,
320
+ "non_truncated": 13811,
321
+ "padded": 0,
322
+ "non_padded": 14150,
323
+ "fewshots_truncated": 408
324
+ }
325
+ }