eduagarcia commited on
Commit
8feb265
1 Parent(s): fa006fa

Updating model EleutherAI/pythia-410m-deduped

Browse files
EleutherAI/pythia-410m-deduped/results_2024-04-03T21-42-41.391444.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_general": {
3
+ "start_date": "2024-04-03T21-42-41.391444",
4
+ "start_time": 1712180570.2518196,
5
+ "end_time": 1712183666.2045267,
6
+ "total_evaluation_time_seconds": 3095.952707052231,
7
+ "has_chat_template": false,
8
+ "chat_type": null,
9
+ "n_gpus": 1,
10
+ "accelerate_num_process": null,
11
+ "model_sha": "c4fc8d586d62df497f1f9b69d66d3ca419992d3e",
12
+ "model_dtype": "float16",
13
+ "model_memory_footprint": 917623600,
14
+ "model_num_parameters": 405334016,
15
+ "model_is_loaded_in_4bit": null,
16
+ "model_is_loaded_in_8bit": null,
17
+ "model_is_quantized": null,
18
+ "model_device": "cuda:0",
19
+ "batch_size": 32,
20
+ "max_length": 2048,
21
+ "max_ctx_length": 2016,
22
+ "max_gen_toks": 32,
23
+ "model_name": "EleutherAI/pythia-410m-deduped",
24
+ "job_id": 365,
25
+ "model_id": "EleutherAI/pythia-410m-deduped_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": "GPTNeoXForCausalLM",
32
+ "submitted_time": "2024-02-05T23:11:30Z",
33
+ "lm_eval_model_type": "huggingface",
34
+ "eval_version": "1.1.0"
35
+ },
36
+ "results": {
37
+ "all_grouped_average": 0.2456376922739555,
38
+ "all_grouped_npm": -0.15294793035974566,
39
+ "all_grouped": {
40
+ "enem_challenge": 0.19174247725682295,
41
+ "bluex": 0.20166898470097358,
42
+ "oab_exams": 0.2337129840546697,
43
+ "assin2_rte": 0.3333333333333333,
44
+ "assin2_sts": 0.040138096618478045,
45
+ "faquad_nli": 0.4396551724137931,
46
+ "hatebr_offensive": 0.3333333333333333,
47
+ "portuguese_hate_speech": 0.22986425339366515,
48
+ "tweetsentbr": 0.2072905953605302
49
+ },
50
+ "all": {
51
+ "harness|enem_challenge|enem_challenge|None|3": 0.19174247725682295,
52
+ "harness|bluex|bluex|None|3": 0.20166898470097358,
53
+ "harness|oab_exams|oab_exams|None|3": 0.2337129840546697,
54
+ "harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333,
55
+ "harness|assin2_sts|assin2_sts|None|15": 0.040138096618478045,
56
+ "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931,
57
+ "harness|hatebr_offensive|hatebr_offensive|None|25": 0.3333333333333333,
58
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.22986425339366515,
59
+ "harness|tweetsentbr|tweetsentbr|None|25": 0.2072905953605302
60
+ },
61
+ "harness|enem_challenge|enem_challenge|None|3": {
62
+ "acc,all": 0.19174247725682295,
63
+ "acc,exam_id__2013": 0.16666666666666666,
64
+ "acc,exam_id__2012": 0.1896551724137931,
65
+ "acc,exam_id__2015": 0.14285714285714285,
66
+ "acc,exam_id__2016": 0.18181818181818182,
67
+ "acc,exam_id__2009": 0.20869565217391303,
68
+ "acc,exam_id__2023": 0.2518518518518518,
69
+ "acc,exam_id__2016_2": 0.17886178861788618,
70
+ "acc,exam_id__2010": 0.18803418803418803,
71
+ "acc,exam_id__2014": 0.1926605504587156,
72
+ "acc,exam_id__2022": 0.21052631578947367,
73
+ "acc,exam_id__2011": 0.19658119658119658,
74
+ "acc,exam_id__2017": 0.1810344827586207,
75
+ "main_score": 0.19174247725682295
76
+ },
77
+ "harness|bluex|bluex|None|3": {
78
+ "acc,all": 0.20166898470097358,
79
+ "acc,exam_id__USP_2021": 0.19230769230769232,
80
+ "acc,exam_id__USP_2018": 0.14814814814814814,
81
+ "acc,exam_id__UNICAMP_2023": 0.18604651162790697,
82
+ "acc,exam_id__USP_2024": 0.1951219512195122,
83
+ "acc,exam_id__USP_2022": 0.20408163265306123,
84
+ "acc,exam_id__UNICAMP_2019": 0.3,
85
+ "acc,exam_id__USP_2020": 0.17857142857142858,
86
+ "acc,exam_id__UNICAMP_2021_1": 0.2826086956521739,
87
+ "acc,exam_id__USP_2019": 0.25,
88
+ "acc,exam_id__UNICAMP_2022": 0.23076923076923078,
89
+ "acc,exam_id__UNICAMP_2024": 0.24444444444444444,
90
+ "acc,exam_id__UNICAMP_2021_2": 0.11764705882352941,
91
+ "acc,exam_id__UNICAMP_2018": 0.16666666666666666,
92
+ "acc,exam_id__USP_2023": 0.13636363636363635,
93
+ "acc,exam_id__UNICAMP_2020": 0.21818181818181817,
94
+ "main_score": 0.20166898470097358
95
+ },
96
+ "harness|oab_exams|oab_exams|None|3": {
97
+ "acc,all": 0.2337129840546697,
98
+ "acc,exam_id__2011-03": 0.24242424242424243,
99
+ "acc,exam_id__2011-04": 0.25,
100
+ "acc,exam_id__2011-05": 0.25,
101
+ "acc,exam_id__2016-19": 0.23076923076923078,
102
+ "acc,exam_id__2017-23": 0.25,
103
+ "acc,exam_id__2018-25": 0.2875,
104
+ "acc,exam_id__2012-09": 0.23376623376623376,
105
+ "acc,exam_id__2017-24": 0.2125,
106
+ "acc,exam_id__2014-14": 0.2375,
107
+ "acc,exam_id__2015-17": 0.24358974358974358,
108
+ "acc,exam_id__2012-07": 0.175,
109
+ "acc,exam_id__2016-20": 0.2,
110
+ "acc,exam_id__2013-11": 0.1875,
111
+ "acc,exam_id__2016-21": 0.2125,
112
+ "acc,exam_id__2012-06a": 0.225,
113
+ "acc,exam_id__2015-18": 0.3,
114
+ "acc,exam_id__2012-08": 0.2,
115
+ "acc,exam_id__2013-12": 0.1625,
116
+ "acc,exam_id__2012-06": 0.2375,
117
+ "acc,exam_id__2015-16": 0.2375,
118
+ "acc,exam_id__2013-10": 0.1875,
119
+ "acc,exam_id__2014-13": 0.25,
120
+ "acc,exam_id__2010-02": 0.23,
121
+ "acc,exam_id__2014-15": 0.23076923076923078,
122
+ "acc,exam_id__2016-20a": 0.3,
123
+ "acc,exam_id__2010-01": 0.27058823529411763,
124
+ "acc,exam_id__2017-22": 0.2625,
125
+ "main_score": 0.2337129840546697
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": 0.040138096618478045,
134
+ "mse,all": 2.528345588235294,
135
+ "main_score": 0.040138096618478045
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": 0.3333333333333333,
144
+ "acc,all": 0.5,
145
+ "main_score": 0.3333333333333333
146
+ },
147
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
148
+ "f1_macro,all": 0.22986425339366515,
149
+ "acc,all": 0.2984723854289072,
150
+ "main_score": 0.22986425339366515
151
+ },
152
+ "harness|tweetsentbr|tweetsentbr|None|25": {
153
+ "f1_macro,all": 0.2072905953605302,
154
+ "acc,all": 0.45124378109452734,
155
+ "main_score": 0.2072905953605302
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": 16,
185
+ "non_truncated": 1413,
186
+ "padded": 0,
187
+ "non_padded": 1429,
188
+ "fewshots_truncated": 17,
189
+ "mean_seq_length": 1559.0517844646606,
190
+ "min_seq_length": 1308,
191
+ "max_seq_length": 2520,
192
+ "max_ctx_length": 2016,
193
+ "max_gen_toks": 32,
194
+ "mean_original_fewshots_size": 3.0,
195
+ "mean_effective_fewshot_size": 2.988103568929321
196
+ },
197
+ "harness|bluex|bluex|None|3": {
198
+ "sample_size": 719,
199
+ "truncated": 26,
200
+ "non_truncated": 693,
201
+ "padded": 0,
202
+ "non_padded": 719,
203
+ "fewshots_truncated": 39,
204
+ "mean_seq_length": 1656.076495132128,
205
+ "min_seq_length": 1285,
206
+ "max_seq_length": 2440,
207
+ "max_ctx_length": 2016,
208
+ "max_gen_toks": 32,
209
+ "mean_original_fewshots_size": 3.0,
210
+ "mean_effective_fewshot_size": 2.945757997218359
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": 1340.5503416856493,
220
+ "min_seq_length": 1077,
221
+ "max_seq_length": 1805,
222
+ "max_ctx_length": 2016,
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": 1378.0061274509803,
235
+ "min_seq_length": 1355,
236
+ "max_seq_length": 1444,
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": 1514.0061274509803,
250
+ "min_seq_length": 1491,
251
+ "max_seq_length": 1580,
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": 1578.8153846153846,
265
+ "min_seq_length": 1525,
266
+ "max_seq_length": 1688,
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": 1292.5114285714285,
280
+ "min_seq_length": 1269,
281
+ "max_seq_length": 1535,
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": 1775.5558166862515,
295
+ "min_seq_length": 1741,
296
+ "max_seq_length": 1812,
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": 1495.2800995024875,
310
+ "min_seq_length": 1475,
311
+ "max_seq_length": 1554,
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": 42,
320
+ "non_truncated": 14108,
321
+ "padded": 0,
322
+ "non_padded": 14150,
323
+ "fewshots_truncated": 56
324
+ }
325
+ }