eduagarcia commited on
Commit
35ce82b
1 Parent(s): 0ac8c3a

Updating model failspy/Codestral-22B-v0.1-abliterated-v3

Browse files
failspy/Codestral-22B-v0.1-abliterated-v3/results_2024-07-03T04-04-20.379881.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_general": {
3
+ "start_date": "2024-07-03T04-04-20.379881",
4
+ "start_time": 1719979461.0944834,
5
+ "end_time": 1719987984.981929,
6
+ "total_evaluation_time_seconds": 8523.887445688248,
7
+ "has_chat_template": false,
8
+ "chat_type": null,
9
+ "n_gpus": 1,
10
+ "accelerate_num_process": null,
11
+ "model_sha": "ce64ab19702acc673d6369f7bb018b2b1407e3c2",
12
+ "model_dtype": "bfloat16",
13
+ "model_memory_footprint": 45434103808,
14
+ "model_num_parameters": 22247282688,
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": 8,
20
+ "max_length": 2560,
21
+ "max_ctx_length": 2528,
22
+ "max_gen_toks": 32,
23
+ "model_name": "failspy/Codestral-22B-v0.1-abliterated-v3",
24
+ "job_id": 863,
25
+ "model_id": "failspy/Codestral-22B-v0.1-abliterated-v3_eval_request_False_bfloat16_Original",
26
+ "model_base_model": "",
27
+ "model_weight_type": "Original",
28
+ "model_revision": "main",
29
+ "model_private": false,
30
+ "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
31
+ "model_architectures": "MistralForCausalLM",
32
+ "submitted_time": "2024-07-02T15:31:29Z",
33
+ "lm_eval_model_type": "huggingface",
34
+ "eval_version": "1.1.0"
35
+ },
36
+ "results": {
37
+ "all_grouped_average": 0.6611575367396121,
38
+ "all_grouped_npm": 0.48737525552868416,
39
+ "all_grouped": {
40
+ "enem_challenge": 0.6277116864940517,
41
+ "bluex": 0.4937413073713491,
42
+ "oab_exams": 0.4132118451025057,
43
+ "assin2_rte": 0.8825766952657541,
44
+ "assin2_sts": 0.796870925932544,
45
+ "faquad_nli": 0.566146041916967,
46
+ "hatebr_offensive": 0.8209886168719789,
47
+ "portuguese_hate_speech": 0.6507667432805737,
48
+ "tweetsentbr": 0.6984039684207844
49
+ },
50
+ "all": {
51
+ "harness|enem_challenge|enem_challenge|None|3": 0.6277116864940517,
52
+ "harness|bluex|bluex|None|3": 0.4937413073713491,
53
+ "harness|oab_exams|oab_exams|None|3": 0.4132118451025057,
54
+ "harness|assin2_rte|assin2_rte|None|15": 0.8825766952657541,
55
+ "harness|assin2_sts|assin2_sts|None|15": 0.796870925932544,
56
+ "harness|faquad_nli|faquad_nli|None|15": 0.566146041916967,
57
+ "harness|hatebr_offensive|hatebr_offensive|None|25": 0.8209886168719789,
58
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.6507667432805737,
59
+ "harness|tweetsentbr|tweetsentbr|None|25": 0.6984039684207844
60
+ },
61
+ "harness|enem_challenge|enem_challenge|None|3": {
62
+ "acc,all": 0.6277116864940517,
63
+ "acc,exam_id__2022": 0.6466165413533834,
64
+ "acc,exam_id__2017": 0.603448275862069,
65
+ "acc,exam_id__2012": 0.6637931034482759,
66
+ "acc,exam_id__2011": 0.7094017094017094,
67
+ "acc,exam_id__2016": 0.6033057851239669,
68
+ "acc,exam_id__2015": 0.6218487394957983,
69
+ "acc,exam_id__2010": 0.5555555555555556,
70
+ "acc,exam_id__2013": 0.6574074074074074,
71
+ "acc,exam_id__2023": 0.6888888888888889,
72
+ "acc,exam_id__2009": 0.591304347826087,
73
+ "acc,exam_id__2016_2": 0.5691056910569106,
74
+ "acc,exam_id__2014": 0.6146788990825688,
75
+ "main_score": 0.6277116864940517
76
+ },
77
+ "harness|bluex|bluex|None|3": {
78
+ "acc,all": 0.4937413073713491,
79
+ "acc,exam_id__UNICAMP_2021_1": 0.45652173913043476,
80
+ "acc,exam_id__UNICAMP_2021_2": 0.4117647058823529,
81
+ "acc,exam_id__USP_2019": 0.45,
82
+ "acc,exam_id__USP_2021": 0.5384615384615384,
83
+ "acc,exam_id__UNICAMP_2024": 0.5111111111111111,
84
+ "acc,exam_id__UNICAMP_2020": 0.43636363636363634,
85
+ "acc,exam_id__USP_2023": 0.5681818181818182,
86
+ "acc,exam_id__USP_2024": 0.7317073170731707,
87
+ "acc,exam_id__UNICAMP_2023": 0.5581395348837209,
88
+ "acc,exam_id__USP_2020": 0.5357142857142857,
89
+ "acc,exam_id__UNICAMP_2022": 0.5384615384615384,
90
+ "acc,exam_id__UNICAMP_2018": 0.48148148148148145,
91
+ "acc,exam_id__USP_2018": 0.35185185185185186,
92
+ "acc,exam_id__USP_2022": 0.46938775510204084,
93
+ "acc,exam_id__UNICAMP_2019": 0.44,
94
+ "main_score": 0.4937413073713491
95
+ },
96
+ "harness|oab_exams|oab_exams|None|3": {
97
+ "acc,all": 0.4132118451025057,
98
+ "acc,exam_id__2013-10": 0.4,
99
+ "acc,exam_id__2011-05": 0.4125,
100
+ "acc,exam_id__2016-21": 0.35,
101
+ "acc,exam_id__2015-17": 0.5769230769230769,
102
+ "acc,exam_id__2010-02": 0.48,
103
+ "acc,exam_id__2018-25": 0.375,
104
+ "acc,exam_id__2010-01": 0.32941176470588235,
105
+ "acc,exam_id__2014-13": 0.3875,
106
+ "acc,exam_id__2013-12": 0.35,
107
+ "acc,exam_id__2017-22": 0.5125,
108
+ "acc,exam_id__2012-08": 0.4,
109
+ "acc,exam_id__2012-06a": 0.4625,
110
+ "acc,exam_id__2017-23": 0.4375,
111
+ "acc,exam_id__2015-16": 0.375,
112
+ "acc,exam_id__2012-06": 0.3625,
113
+ "acc,exam_id__2014-14": 0.4625,
114
+ "acc,exam_id__2016-19": 0.41025641025641024,
115
+ "acc,exam_id__2013-11": 0.4,
116
+ "acc,exam_id__2012-07": 0.4375,
117
+ "acc,exam_id__2016-20": 0.4875,
118
+ "acc,exam_id__2012-09": 0.36363636363636365,
119
+ "acc,exam_id__2011-03": 0.37373737373737376,
120
+ "acc,exam_id__2016-20a": 0.375,
121
+ "acc,exam_id__2011-04": 0.2875,
122
+ "acc,exam_id__2015-18": 0.5125,
123
+ "acc,exam_id__2017-24": 0.4125,
124
+ "acc,exam_id__2014-15": 0.4230769230769231,
125
+ "main_score": 0.4132118451025057
126
+ },
127
+ "harness|assin2_rte|assin2_rte|None|15": {
128
+ "f1_macro,all": 0.8825766952657541,
129
+ "acc,all": 0.8831699346405228,
130
+ "main_score": 0.8825766952657541
131
+ },
132
+ "harness|assin2_sts|assin2_sts|None|15": {
133
+ "pearson,all": 0.796870925932544,
134
+ "mse,all": 0.4172630718954248,
135
+ "main_score": 0.796870925932544
136
+ },
137
+ "harness|faquad_nli|faquad_nli|None|15": {
138
+ "f1_macro,all": 0.566146041916967,
139
+ "acc,all": 0.8076923076923077,
140
+ "main_score": 0.566146041916967
141
+ },
142
+ "harness|hatebr_offensive|hatebr_offensive|None|25": {
143
+ "f1_macro,all": 0.8209886168719789,
144
+ "acc,all": 0.8242857142857143,
145
+ "main_score": 0.8209886168719789
146
+ },
147
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
148
+ "f1_macro,all": 0.6507667432805737,
149
+ "acc,all": 0.6674500587544065,
150
+ "main_score": 0.6507667432805737
151
+ },
152
+ "harness|tweetsentbr|tweetsentbr|None|25": {
153
+ "f1_macro,all": 0.6984039684207844,
154
+ "acc,all": 0.7134328358208956,
155
+ "main_score": 0.6984039684207844
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": 1,
185
+ "non_truncated": 1428,
186
+ "padded": 0,
187
+ "non_padded": 1429,
188
+ "fewshots_truncated": 1,
189
+ "mean_seq_length": 1620.039188243527,
190
+ "min_seq_length": 1354,
191
+ "max_seq_length": 2618,
192
+ "max_ctx_length": 2528,
193
+ "max_gen_toks": 32,
194
+ "mean_original_fewshots_size": 3.0,
195
+ "mean_effective_fewshot_size": 2.9993002099370187
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": 2528,
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": 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": 1369.7455065359477,
235
+ "min_seq_length": 1346,
236
+ "max_seq_length": 1436,
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": 1593.7455065359477,
250
+ "min_seq_length": 1570,
251
+ "max_seq_length": 1660,
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": 1594.9876923076922,
265
+ "min_seq_length": 1539,
266
+ "max_seq_length": 1715,
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": 1305.3878571428572,
280
+ "min_seq_length": 1282,
281
+ "max_seq_length": 1556,
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": 1806.3360752056403,
295
+ "min_seq_length": 1771,
296
+ "max_seq_length": 1845,
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": 1552.2492537313433,
310
+ "min_seq_length": 1531,
311
+ "max_seq_length": 1647,
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": 1,
320
+ "non_truncated": 14149,
321
+ "padded": 0,
322
+ "non_padded": 14150,
323
+ "fewshots_truncated": 1
324
+ }
325
+ }