eduagarcia commited on
Commit
dc0effb
1 Parent(s): 302fc58

Updating model Ramikan-BR/tinyllama-coder-py-v12

Browse files
Ramikan-BR/tinyllama-coder-py-v12/results_2024-05-29T23-32-07.010938.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_general": {
3
+ "start_date": "2024-05-29T23-32-07.010938",
4
+ "start_time": 1717025527.7111712,
5
+ "end_time": 1717031557.1165063,
6
+ "total_evaluation_time_seconds": 6029.405335187912,
7
+ "has_chat_template": true,
8
+ "chat_type": "system_user_assistant",
9
+ "n_gpus": 1,
10
+ "accelerate_num_process": null,
11
+ "model_sha": "abd046925f51c885932ccaf5f4c0e958315c9675",
12
+ "model_dtype": "float16",
13
+ "model_memory_footprint": 2200099584,
14
+ "model_num_parameters": 1100048384,
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": 64,
20
+ "max_length": 2560,
21
+ "max_ctx_length": 2528,
22
+ "max_gen_toks": 32,
23
+ "model_name": "Ramikan-BR/tinyllama-coder-py-v12",
24
+ "job_id": 774,
25
+ "model_id": "Ramikan-BR/tinyllama-coder-py-v12_eval_request_abd0469_False_float16_Original",
26
+ "model_base_model": "",
27
+ "model_weight_type": "Original",
28
+ "model_revision": "abd0469",
29
+ "model_private": false,
30
+ "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
31
+ "model_architectures": "LlamaForCausalLM",
32
+ "submitted_time": "2024-05-28T14:52:02Z",
33
+ "lm_eval_model_type": "huggingface",
34
+ "eval_version": "1.1.0"
35
+ },
36
+ "results": {
37
+ "all_grouped_average": 0.23235376366005628,
38
+ "all_grouped_npm": -0.149582293795402,
39
+ "all_grouped": {
40
+ "enem_challenge": 0.10286913925822254,
41
+ "bluex": 0.027816411682892908,
42
+ "oab_exams": 0.10341685649202734,
43
+ "assin2_rte": 0.3653844853319245,
44
+ "assin2_sts": 0.009190579858306076,
45
+ "faquad_nli": 0.5002423573852145,
46
+ "hatebr_offensive": 0.3333333333333333,
47
+ "portuguese_hate_speech": 0.4148104148104148,
48
+ "tweetsentbr": 0.23412029478817073
49
+ },
50
+ "all": {
51
+ "harness|enem_challenge|enem_challenge|None|3": 0.10286913925822254,
52
+ "harness|bluex|bluex|None|3": 0.027816411682892908,
53
+ "harness|oab_exams|oab_exams|None|3": 0.10341685649202734,
54
+ "harness|assin2_rte|assin2_rte|None|15": 0.3653844853319245,
55
+ "harness|assin2_sts|assin2_sts|None|15": 0.009190579858306076,
56
+ "harness|faquad_nli|faquad_nli|None|15": 0.5002423573852145,
57
+ "harness|hatebr_offensive|hatebr_offensive|None|25": 0.3333333333333333,
58
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.4148104148104148,
59
+ "harness|tweetsentbr|tweetsentbr|None|25": 0.23412029478817073
60
+ },
61
+ "harness|enem_challenge|enem_challenge|None|3": {
62
+ "acc,all": 0.10286913925822254,
63
+ "acc,exam_id__2013": 0.08333333333333333,
64
+ "acc,exam_id__2014": 0.045871559633027525,
65
+ "acc,exam_id__2012": 0.19827586206896552,
66
+ "acc,exam_id__2016": 0.09090909090909091,
67
+ "acc,exam_id__2016_2": 0.06504065040650407,
68
+ "acc,exam_id__2017": 0.09482758620689655,
69
+ "acc,exam_id__2009": 0.1391304347826087,
70
+ "acc,exam_id__2011": 0.08547008547008547,
71
+ "acc,exam_id__2010": 0.15384615384615385,
72
+ "acc,exam_id__2023": 0.1111111111111111,
73
+ "acc,exam_id__2015": 0.07563025210084033,
74
+ "acc,exam_id__2022": 0.09022556390977443,
75
+ "main_score": 0.10286913925822254
76
+ },
77
+ "harness|bluex|bluex|None|3": {
78
+ "acc,all": 0.027816411682892908,
79
+ "acc,exam_id__UNICAMP_2024": 0.022222222222222223,
80
+ "acc,exam_id__USP_2020": 0.017857142857142856,
81
+ "acc,exam_id__USP_2018": 0.018518518518518517,
82
+ "acc,exam_id__UNICAMP_2018": 0.037037037037037035,
83
+ "acc,exam_id__USP_2023": 0.022727272727272728,
84
+ "acc,exam_id__UNICAMP_2021_2": 0.0,
85
+ "acc,exam_id__UNICAMP_2022": 0.05128205128205128,
86
+ "acc,exam_id__UNICAMP_2023": 0.06976744186046512,
87
+ "acc,exam_id__UNICAMP_2021_1": 0.021739130434782608,
88
+ "acc,exam_id__UNICAMP_2020": 0.05454545454545454,
89
+ "acc,exam_id__USP_2022": 0.02040816326530612,
90
+ "acc,exam_id__USP_2021": 0.019230769230769232,
91
+ "acc,exam_id__UNICAMP_2019": 0.04,
92
+ "acc,exam_id__USP_2024": 0.0,
93
+ "acc,exam_id__USP_2019": 0.025,
94
+ "main_score": 0.027816411682892908
95
+ },
96
+ "harness|oab_exams|oab_exams|None|3": {
97
+ "acc,all": 0.10341685649202734,
98
+ "acc,exam_id__2015-16": 0.0625,
99
+ "acc,exam_id__2012-06a": 0.1625,
100
+ "acc,exam_id__2015-17": 0.08974358974358974,
101
+ "acc,exam_id__2014-14": 0.1,
102
+ "acc,exam_id__2015-18": 0.125,
103
+ "acc,exam_id__2011-05": 0.125,
104
+ "acc,exam_id__2016-19": 0.15384615384615385,
105
+ "acc,exam_id__2011-03": 0.08080808080808081,
106
+ "acc,exam_id__2010-01": 0.2,
107
+ "acc,exam_id__2012-06": 0.075,
108
+ "acc,exam_id__2017-23": 0.05,
109
+ "acc,exam_id__2016-20a": 0.075,
110
+ "acc,exam_id__2010-02": 0.06,
111
+ "acc,exam_id__2013-11": 0.05,
112
+ "acc,exam_id__2012-09": 0.15584415584415584,
113
+ "acc,exam_id__2014-15": 0.08974358974358974,
114
+ "acc,exam_id__2017-22": 0.1375,
115
+ "acc,exam_id__2016-21": 0.125,
116
+ "acc,exam_id__2011-04": 0.1375,
117
+ "acc,exam_id__2012-08": 0.15,
118
+ "acc,exam_id__2014-13": 0.1,
119
+ "acc,exam_id__2018-25": 0.075,
120
+ "acc,exam_id__2013-10": 0.1,
121
+ "acc,exam_id__2017-24": 0.075,
122
+ "acc,exam_id__2016-20": 0.1,
123
+ "acc,exam_id__2013-12": 0.0625,
124
+ "acc,exam_id__2012-07": 0.0875,
125
+ "main_score": 0.10341685649202734
126
+ },
127
+ "harness|assin2_rte|assin2_rte|None|15": {
128
+ "f1_macro,all": 0.3653844853319245,
129
+ "acc,all": 0.4832516339869281,
130
+ "main_score": 0.3653844853319245
131
+ },
132
+ "harness|assin2_sts|assin2_sts|None|15": {
133
+ "pearson,all": 0.009190579858306076,
134
+ "mse,all": 1.3208292483660131,
135
+ "main_score": 0.009190579858306076
136
+ },
137
+ "harness|faquad_nli|faquad_nli|None|15": {
138
+ "f1_macro,all": 0.5002423573852145,
139
+ "acc,all": 0.7169230769230769,
140
+ "main_score": 0.5002423573852145
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": 0.4148104148104148,
149
+ "acc,all": 0.6980023501762632,
150
+ "main_score": 0.4148104148104148
151
+ },
152
+ "harness|tweetsentbr|tweetsentbr|None|25": {
153
+ "f1_macro,all": 0.23412029478817073,
154
+ "acc,all": 0.4582089552238806,
155
+ "main_score": 0.23412029478817073
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": 1620.9881035689293,
190
+ "min_seq_length": 1368,
191
+ "max_seq_length": 2660,
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": 1741.7426981919332,
205
+ "min_seq_length": 1375,
206
+ "max_seq_length": 2501,
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": 1393.4145785876992,
220
+ "min_seq_length": 1138,
221
+ "max_seq_length": 1875,
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": 1580.9889705882354,
235
+ "min_seq_length": 1558,
236
+ "max_seq_length": 1647,
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": 1789.9889705882354,
250
+ "min_seq_length": 1767,
251
+ "max_seq_length": 1856,
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": 1788.1184615384616,
265
+ "min_seq_length": 1736,
266
+ "max_seq_length": 1895,
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": 1715.9178571428572,
280
+ "min_seq_length": 1692,
281
+ "max_seq_length": 1962,
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": 2207.801410105758,
295
+ "min_seq_length": 2173,
296
+ "max_seq_length": 2251,
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": 1982.6845771144278,
310
+ "min_seq_length": 1961,
311
+ "max_seq_length": 2100,
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
+ }