eduagarcia commited on
Commit
de1d902
1 Parent(s): 2ec75ef

Updating model DeepMount00/Llama-3-8b-Ita

Browse files
DeepMount00/Llama-3-8b-Ita/results_2024-05-19T23-04-56.757278.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_general": {
3
+ "start_date": "2024-05-19T23-04-56.757278",
4
+ "start_time": 1716159897.38221,
5
+ "end_time": 1716198055.2416434,
6
+ "total_evaluation_time_seconds": 38157.85943341255,
7
+ "has_chat_template": true,
8
+ "chat_type": "system_user_assistant",
9
+ "n_gpus": 1,
10
+ "accelerate_num_process": null,
11
+ "model_sha": "c399bd706c749788d260ed5f47c3c5c3190f37d9",
12
+ "model_dtype": "bfloat16",
13
+ "model_memory_footprint": 16194748416,
14
+ "model_num_parameters": 8030261248,
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": 4,
20
+ "max_length": 2560,
21
+ "max_ctx_length": 2528,
22
+ "max_gen_toks": 32,
23
+ "model_name": "DeepMount00/Llama-3-8b-Ita",
24
+ "job_id": 651,
25
+ "model_id": "DeepMount00/Llama-3-8b-Ita_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": "LlamaForCausalLM",
32
+ "submitted_time": "2024-05-17T15:15:58Z",
33
+ "lm_eval_model_type": "huggingface",
34
+ "eval_version": "1.1.0"
35
+ },
36
+ "results": {
37
+ "all_grouped_average": 0.6877574329504141,
38
+ "all_grouped_npm": 0.5347979327978014,
39
+ "all_grouped": {
40
+ "enem_challenge": 0.7116864940517844,
41
+ "bluex": 0.588317107093185,
42
+ "oab_exams": 0.5084282460136674,
43
+ "assin2_rte": 0.9174373136272109,
44
+ "assin2_sts": 0.7274385305362817,
45
+ "faquad_nli": 0.7530594601709288,
46
+ "hatebr_offensive": 0.8684530363041023,
47
+ "portuguese_hate_speech": 0.6102181878747501,
48
+ "tweetsentbr": 0.5047785208818167
49
+ },
50
+ "all": {
51
+ "harness|enem_challenge|enem_challenge|None|3": 0.7116864940517844,
52
+ "harness|bluex|bluex|None|3": 0.588317107093185,
53
+ "harness|oab_exams|oab_exams|None|3": 0.5084282460136674,
54
+ "harness|assin2_rte|assin2_rte|None|15": 0.9174373136272109,
55
+ "harness|assin2_sts|assin2_sts|None|15": 0.7274385305362817,
56
+ "harness|faquad_nli|faquad_nli|None|15": 0.7530594601709288,
57
+ "harness|hatebr_offensive|hatebr_offensive|None|25": 0.8684530363041023,
58
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.6102181878747501,
59
+ "harness|tweetsentbr|tweetsentbr|None|25": 0.5047785208818167
60
+ },
61
+ "harness|enem_challenge|enem_challenge|None|3": {
62
+ "acc,all": 0.7116864940517844,
63
+ "acc,exam_id__2014": 0.7247706422018348,
64
+ "acc,exam_id__2017": 0.7068965517241379,
65
+ "acc,exam_id__2023": 0.762962962962963,
66
+ "acc,exam_id__2012": 0.7327586206896551,
67
+ "acc,exam_id__2022": 0.6616541353383458,
68
+ "acc,exam_id__2011": 0.7350427350427351,
69
+ "acc,exam_id__2016_2": 0.6585365853658537,
70
+ "acc,exam_id__2009": 0.7478260869565218,
71
+ "acc,exam_id__2010": 0.7094017094017094,
72
+ "acc,exam_id__2016": 0.6942148760330579,
73
+ "acc,exam_id__2015": 0.7142857142857143,
74
+ "acc,exam_id__2013": 0.6944444444444444,
75
+ "main_score": 0.7116864940517844
76
+ },
77
+ "harness|bluex|bluex|None|3": {
78
+ "acc,all": 0.588317107093185,
79
+ "acc,exam_id__UNICAMP_2021_1": 0.6086956521739131,
80
+ "acc,exam_id__USP_2024": 0.6829268292682927,
81
+ "acc,exam_id__UNICAMP_2019": 0.62,
82
+ "acc,exam_id__UNICAMP_2023": 0.627906976744186,
83
+ "acc,exam_id__USP_2018": 0.4444444444444444,
84
+ "acc,exam_id__USP_2023": 0.6818181818181818,
85
+ "acc,exam_id__UNICAMP_2018": 0.4444444444444444,
86
+ "acc,exam_id__USP_2021": 0.5961538461538461,
87
+ "acc,exam_id__UNICAMP_2021_2": 0.5490196078431373,
88
+ "acc,exam_id__UNICAMP_2024": 0.6444444444444445,
89
+ "acc,exam_id__USP_2019": 0.625,
90
+ "acc,exam_id__USP_2020": 0.5714285714285714,
91
+ "acc,exam_id__UNICAMP_2022": 0.717948717948718,
92
+ "acc,exam_id__UNICAMP_2020": 0.5818181818181818,
93
+ "acc,exam_id__USP_2022": 0.5306122448979592,
94
+ "main_score": 0.588317107093185
95
+ },
96
+ "harness|oab_exams|oab_exams|None|3": {
97
+ "acc,all": 0.5084282460136674,
98
+ "acc,exam_id__2011-05": 0.45,
99
+ "acc,exam_id__2015-16": 0.4625,
100
+ "acc,exam_id__2011-03": 0.5050505050505051,
101
+ "acc,exam_id__2012-09": 0.5324675324675324,
102
+ "acc,exam_id__2016-20": 0.575,
103
+ "acc,exam_id__2014-15": 0.5641025641025641,
104
+ "acc,exam_id__2013-12": 0.55,
105
+ "acc,exam_id__2012-06": 0.5125,
106
+ "acc,exam_id__2016-19": 0.5256410256410257,
107
+ "acc,exam_id__2016-21": 0.3875,
108
+ "acc,exam_id__2014-13": 0.425,
109
+ "acc,exam_id__2013-10": 0.4375,
110
+ "acc,exam_id__2015-18": 0.5125,
111
+ "acc,exam_id__2018-25": 0.525,
112
+ "acc,exam_id__2017-23": 0.5125,
113
+ "acc,exam_id__2017-22": 0.575,
114
+ "acc,exam_id__2017-24": 0.475,
115
+ "acc,exam_id__2010-01": 0.3764705882352941,
116
+ "acc,exam_id__2014-14": 0.625,
117
+ "acc,exam_id__2012-06a": 0.55,
118
+ "acc,exam_id__2012-08": 0.5125,
119
+ "acc,exam_id__2016-20a": 0.45,
120
+ "acc,exam_id__2012-07": 0.475,
121
+ "acc,exam_id__2010-02": 0.55,
122
+ "acc,exam_id__2015-17": 0.6410256410256411,
123
+ "acc,exam_id__2011-04": 0.5125,
124
+ "acc,exam_id__2013-11": 0.5125,
125
+ "main_score": 0.5084282460136674
126
+ },
127
+ "harness|assin2_rte|assin2_rte|None|15": {
128
+ "f1_macro,all": 0.9174373136272109,
129
+ "acc,all": 0.9174836601307189,
130
+ "main_score": 0.9174373136272109
131
+ },
132
+ "harness|assin2_sts|assin2_sts|None|15": {
133
+ "pearson,all": 0.7274385305362817,
134
+ "mse,all": 0.7363439542483661,
135
+ "main_score": 0.7274385305362817
136
+ },
137
+ "harness|faquad_nli|faquad_nli|None|15": {
138
+ "f1_macro,all": 0.7530594601709288,
139
+ "acc,all": 0.8046153846153846,
140
+ "main_score": 0.7530594601709288
141
+ },
142
+ "harness|hatebr_offensive|hatebr_offensive|None|25": {
143
+ "f1_macro,all": 0.8684530363041023,
144
+ "acc,all": 0.8685714285714285,
145
+ "main_score": 0.8684530363041023
146
+ },
147
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
148
+ "f1_macro,all": 0.6102181878747501,
149
+ "acc,all": 0.6122209165687427,
150
+ "main_score": 0.6102181878747501
151
+ },
152
+ "harness|tweetsentbr|tweetsentbr|None|25": {
153
+ "f1_macro,all": 0.5047785208818167,
154
+ "acc,all": 0.7223880597014926,
155
+ "main_score": 0.5047785208818167
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": 1412.3547935619315,
190
+ "min_seq_length": 1187,
191
+ "max_seq_length": 2340,
192
+ "max_ctx_length": 2528,
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": 1484.7719054242002,
205
+ "min_seq_length": 1165,
206
+ "max_seq_length": 2134,
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": 1220.3772209567198,
220
+ "min_seq_length": 988,
221
+ "max_seq_length": 1654,
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": 1318.5322712418301,
235
+ "min_seq_length": 1299,
236
+ "max_seq_length": 1382,
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": 1509.5322712418301,
250
+ "min_seq_length": 1490,
251
+ "max_seq_length": 1573,
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": 1447.8215384615385,
265
+ "min_seq_length": 1402,
266
+ "max_seq_length": 1544,
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": 1279.3878571428572,
280
+ "min_seq_length": 1259,
281
+ "max_seq_length": 1498,
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": 1676.4195064629848,
295
+ "min_seq_length": 1646,
296
+ "max_seq_length": 1708,
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": 1537.1537313432837,
310
+ "min_seq_length": 1520,
311
+ "max_seq_length": 1585,
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": 0,
320
+ "non_truncated": 14150,
321
+ "padded": 0,
322
+ "non_padded": 14150,
323
+ "fewshots_truncated": 0
324
+ }
325
+ }