eduagarcia commited on
Commit
b4389bb
1 Parent(s): 4d21e45

Updating model Intel/neural-chat-7b-v3-1

Browse files
Intel/neural-chat-7b-v3-1/results_2024-02-25T06-21-33.008420.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_general": {
3
+ "start_date": "2024-02-25T06-21-33.008420",
4
+ "start_time": 1708842093.6261501,
5
+ "end_time": 1708847568.686254,
6
+ "total_evaluation_time_seconds": 5475.06010389328,
7
+ "has_chat_template": false,
8
+ "chat_type": null,
9
+ "n_gpus": 1,
10
+ "accelerate_num_process": null,
11
+ "model_sha": "e852bc2e78a3fe509ec28c6d76512df3012acba7",
12
+ "model_dtype": "float16",
13
+ "model_memory_footprint": 15020343296,
14
+ "model_num_parameters": 7241732096,
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": 16,
20
+ "max_length": 4096,
21
+ "max_ctx_length": 4064,
22
+ "max_gen_toks": 32,
23
+ "model_name": "Intel/neural-chat-7b-v3-1",
24
+ "job_id": 253,
25
+ "model_id": "Intel/neural-chat-7b-v3-1_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": "💬 : chat models (RLHF, DPO, IFT, ...)",
31
+ "model_architectures": "MistralForCausalLM",
32
+ "submitted_time": "2024-02-21T18:03:11Z",
33
+ "lm_eval_model_type": "huggingface",
34
+ "eval_version": "1.1.0"
35
+ },
36
+ "results": {
37
+ "all_grouped_average": 0.6726525565288831,
38
+ "all_grouped_npm": 0.5225859783991329,
39
+ "all_grouped": {
40
+ "enem_challenge": 0.6263121063680895,
41
+ "bluex": 0.47983310152990266,
42
+ "oab_exams": 0.39726651480637815,
43
+ "assin2_rte": 0.9268770228292367,
44
+ "assin2_sts": 0.7658477385894799,
45
+ "faquad_nli": 0.7840135895978708,
46
+ "hatebr_offensive": 0.8905574366528357,
47
+ "portuguese_hate_speech": 0.6685671281654837,
48
+ "tweetsentbr": 0.5145983702206705
49
+ },
50
+ "all": {
51
+ "harness|enem_challenge|enem_challenge|None|3": 0.6263121063680895,
52
+ "harness|bluex|bluex|None|3": 0.47983310152990266,
53
+ "harness|oab_exams|oab_exams|None|3": 0.39726651480637815,
54
+ "harness|assin2_rte|assin2_rte|None|15": 0.9268770228292367,
55
+ "harness|assin2_sts|assin2_sts|None|15": 0.7658477385894799,
56
+ "harness|faquad_nli|faquad_nli|None|15": 0.7840135895978708,
57
+ "harness|hatebr_offensive|hatebr_offensive|None|25": 0.8905574366528357,
58
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.6685671281654837,
59
+ "harness|tweetsentbr|tweetsentbr|None|25": 0.5145983702206705
60
+ },
61
+ "harness|enem_challenge|enem_challenge|None|3": {
62
+ "acc,all": 0.6263121063680895,
63
+ "acc,exam_id__2013": 0.6388888888888888,
64
+ "acc,exam_id__2016_2": 0.6666666666666666,
65
+ "acc,exam_id__2016": 0.5619834710743802,
66
+ "acc,exam_id__2011": 0.6837606837606838,
67
+ "acc,exam_id__2017": 0.5948275862068966,
68
+ "acc,exam_id__2023": 0.6814814814814815,
69
+ "acc,exam_id__2014": 0.6513761467889908,
70
+ "acc,exam_id__2012": 0.6379310344827587,
71
+ "acc,exam_id__2009": 0.6,
72
+ "acc,exam_id__2015": 0.5966386554621849,
73
+ "acc,exam_id__2022": 0.6165413533834586,
74
+ "acc,exam_id__2010": 0.5811965811965812,
75
+ "main_score": 0.6263121063680895
76
+ },
77
+ "harness|bluex|bluex|None|3": {
78
+ "acc,all": 0.47983310152990266,
79
+ "acc,exam_id__USP_2019": 0.4,
80
+ "acc,exam_id__USP_2022": 0.46938775510204084,
81
+ "acc,exam_id__USP_2023": 0.5909090909090909,
82
+ "acc,exam_id__UNICAMP_2018": 0.4074074074074074,
83
+ "acc,exam_id__UNICAMP_2019": 0.54,
84
+ "acc,exam_id__USP_2020": 0.48214285714285715,
85
+ "acc,exam_id__UNICAMP_2020": 0.43636363636363634,
86
+ "acc,exam_id__UNICAMP_2023": 0.5348837209302325,
87
+ "acc,exam_id__USP_2021": 0.4423076923076923,
88
+ "acc,exam_id__UNICAMP_2022": 0.5897435897435898,
89
+ "acc,exam_id__UNICAMP_2024": 0.5111111111111111,
90
+ "acc,exam_id__USP_2018": 0.37037037037037035,
91
+ "acc,exam_id__UNICAMP_2021_2": 0.45098039215686275,
92
+ "acc,exam_id__UNICAMP_2021_1": 0.45652173913043476,
93
+ "acc,exam_id__USP_2024": 0.5853658536585366,
94
+ "main_score": 0.47983310152990266
95
+ },
96
+ "harness|oab_exams|oab_exams|None|3": {
97
+ "acc,all": 0.39726651480637815,
98
+ "acc,exam_id__2016-20a": 0.3875,
99
+ "acc,exam_id__2012-06": 0.4125,
100
+ "acc,exam_id__2015-18": 0.4,
101
+ "acc,exam_id__2014-14": 0.475,
102
+ "acc,exam_id__2012-07": 0.3875,
103
+ "acc,exam_id__2015-16": 0.3875,
104
+ "acc,exam_id__2011-05": 0.4375,
105
+ "acc,exam_id__2012-06a": 0.425,
106
+ "acc,exam_id__2017-23": 0.35,
107
+ "acc,exam_id__2016-19": 0.4230769230769231,
108
+ "acc,exam_id__2017-24": 0.35,
109
+ "acc,exam_id__2016-20": 0.375,
110
+ "acc,exam_id__2017-22": 0.475,
111
+ "acc,exam_id__2013-12": 0.45,
112
+ "acc,exam_id__2010-02": 0.36,
113
+ "acc,exam_id__2011-03": 0.3333333333333333,
114
+ "acc,exam_id__2012-08": 0.425,
115
+ "acc,exam_id__2013-10": 0.4125,
116
+ "acc,exam_id__2016-21": 0.4125,
117
+ "acc,exam_id__2014-15": 0.44871794871794873,
118
+ "acc,exam_id__2018-25": 0.425,
119
+ "acc,exam_id__2014-13": 0.275,
120
+ "acc,exam_id__2010-01": 0.3764705882352941,
121
+ "acc,exam_id__2015-17": 0.5,
122
+ "acc,exam_id__2013-11": 0.4,
123
+ "acc,exam_id__2011-04": 0.3125,
124
+ "acc,exam_id__2012-09": 0.33766233766233766,
125
+ "main_score": 0.39726651480637815
126
+ },
127
+ "harness|assin2_rte|assin2_rte|None|15": {
128
+ "f1_macro,all": 0.9268770228292367,
129
+ "acc,all": 0.9268790849673203,
130
+ "main_score": 0.9268770228292367
131
+ },
132
+ "harness|assin2_sts|assin2_sts|None|15": {
133
+ "pearson,all": 0.7658477385894799,
134
+ "mse,all": 0.5124264705882353,
135
+ "main_score": 0.7658477385894799
136
+ },
137
+ "harness|faquad_nli|faquad_nli|None|15": {
138
+ "f1_macro,all": 0.7840135895978708,
139
+ "acc,all": 0.8353846153846154,
140
+ "main_score": 0.7840135895978708
141
+ },
142
+ "harness|hatebr_offensive|hatebr_offensive|None|25": {
143
+ "f1_macro,all": 0.8905574366528357,
144
+ "acc,all": 0.8907142857142857,
145
+ "main_score": 0.8905574366528357
146
+ },
147
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
148
+ "f1_macro,all": 0.6685671281654837,
149
+ "acc,all": 0.6874265569917744,
150
+ "main_score": 0.6685671281654837
151
+ },
152
+ "harness|tweetsentbr|tweetsentbr|None|25": {
153
+ "f1_macro,all": 0.5145983702206705,
154
+ "acc,all": 0.7114427860696517,
155
+ "main_score": 0.5145983702206705
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": 0,
185
+ "non_truncated": 1429,
186
+ "padded": 0,
187
+ "non_padded": 1429,
188
+ "fewshots_truncated": 0,
189
+ "mean_seq_length": 1620.039188243527,
190
+ "min_seq_length": 1354,
191
+ "max_seq_length": 2618,
192
+ "max_ctx_length": 4064,
193
+ "max_gen_toks": 32,
194
+ "mean_original_fewshots_size": 3.0,
195
+ "mean_effective_fewshot_size": 3.0
196
+ },
197
+ "harness|bluex|bluex|None|3": {
198
+ "sample_size": 719,
199
+ "truncated": 0,
200
+ "non_truncated": 719,
201
+ "padded": 0,
202
+ "non_padded": 719,
203
+ "fewshots_truncated": 0,
204
+ "mean_seq_length": 1719.9262865090404,
205
+ "min_seq_length": 1343,
206
+ "max_seq_length": 2520,
207
+ "max_ctx_length": 4064,
208
+ "max_gen_toks": 32,
209
+ "mean_original_fewshots_size": 3.0,
210
+ "mean_effective_fewshot_size": 3.0
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": 1365.764464692483,
220
+ "min_seq_length": 1099,
221
+ "max_seq_length": 1868,
222
+ "max_ctx_length": 4064,
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": 1369.7455065359477,
235
+ "min_seq_length": 1346,
236
+ "max_seq_length": 1436,
237
+ "max_ctx_length": 4064,
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": 1593.7455065359477,
250
+ "min_seq_length": 1570,
251
+ "max_seq_length": 1660,
252
+ "max_ctx_length": 4064,
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": 1594.9876923076922,
265
+ "min_seq_length": 1539,
266
+ "max_seq_length": 1715,
267
+ "max_ctx_length": 4064,
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": 1305.3878571428572,
280
+ "min_seq_length": 1282,
281
+ "max_seq_length": 1556,
282
+ "max_ctx_length": 4064,
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": 1806.3360752056403,
295
+ "min_seq_length": 1771,
296
+ "max_seq_length": 1845,
297
+ "max_ctx_length": 4064,
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": 1552.2492537313433,
310
+ "min_seq_length": 1531,
311
+ "max_seq_length": 1647,
312
+ "max_ctx_length": 4064,
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": 0,
320
+ "non_truncated": 14150,
321
+ "padded": 0,
322
+ "non_padded": 14150,
323
+ "fewshots_truncated": 0
324
+ }
325
+ }