eduagarcia commited on
Commit
68f0c7c
·
verified ·
1 Parent(s): a3f825a

Updating model MaziyarPanahi/calme-2.4-qwen2-7b

Browse files
MaziyarPanahi/calme-2.4-qwen2-7b/results_2025-02-04T15-24-00.944476.json ADDED
@@ -0,0 +1,326 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_general": {
3
+ "start_date": "2025-02-04T15-24-00.944476",
4
+ "start_time": 1738682641.7884037,
5
+ "end_time": 1738686023.6098785,
6
+ "total_evaluation_time_seconds": 3381.821474790573,
7
+ "has_chat_template": true,
8
+ "chat_type": "system_user_assistant",
9
+ "n_gpus": 1,
10
+ "accelerate_num_process": null,
11
+ "model_sha": "0ea4c2a318e70054a403b911385c11aa5a4a4ff3",
12
+ "model_dtype": "bfloat16",
13
+ "model_memory_footprint": 15231233280,
14
+ "model_num_parameters": 7615616512,
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": 2560,
21
+ "max_ctx_length": 2528,
22
+ "max_gen_toks": 32,
23
+ "effective_batch_size": 15.98870056497175,
24
+ "model_name": "MaziyarPanahi/calme-2.4-qwen2-7b",
25
+ "job_id": 1440,
26
+ "model_id": "MaziyarPanahi/calme-2.4-qwen2-7b_eval_request_False_bfloat16_Original",
27
+ "model_base_model": "",
28
+ "model_weight_type": "Original",
29
+ "model_revision": "main",
30
+ "model_private": false,
31
+ "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
32
+ "model_architectures": "Qwen2ForCausalLM",
33
+ "submitted_time": "2024-09-18T20:25:28Z",
34
+ "lm_eval_model_type": "huggingface",
35
+ "eval_version": "1.1.0"
36
+ },
37
+ "results": {
38
+ "all_grouped_average": 0.6968560908201528,
39
+ "all_grouped_npm": 0.5398492684645241,
40
+ "all_grouped": {
41
+ "enem_challenge": 0.708187543736879,
42
+ "bluex": 0.6175243393602226,
43
+ "oab_exams": 0.532118451025057,
44
+ "assin2_rte": 0.9246555544850178,
45
+ "assin2_sts": 0.7230229756328089,
46
+ "faquad_nli": 0.6993592017638791,
47
+ "hatebr_offensive": 0.7752748274431711,
48
+ "portuguese_hate_speech": 0.5936756575640811,
49
+ "tweetsentbr": 0.6978862663702582
50
+ },
51
+ "all": {
52
+ "harness|enem_challenge|enem_challenge|None|3": 0.708187543736879,
53
+ "harness|bluex|bluex|None|3": 0.6175243393602226,
54
+ "harness|oab_exams|oab_exams|None|3": 0.532118451025057,
55
+ "harness|assin2_rte|assin2_rte|None|15": 0.9246555544850178,
56
+ "harness|assin2_sts|assin2_sts|None|15": 0.7230229756328089,
57
+ "harness|faquad_nli|faquad_nli|None|15": 0.6993592017638791,
58
+ "harness|hatebr_offensive|hatebr_offensive|None|25": 0.7752748274431711,
59
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.5936756575640811,
60
+ "harness|tweetsentbr|tweetsentbr|None|25": 0.6978862663702582
61
+ },
62
+ "harness|enem_challenge|enem_challenge|None|3": {
63
+ "acc,all": 0.708187543736879,
64
+ "acc,exam_id__2012": 0.7068965517241379,
65
+ "acc,exam_id__2015": 0.7310924369747899,
66
+ "acc,exam_id__2014": 0.7339449541284404,
67
+ "acc,exam_id__2016": 0.6611570247933884,
68
+ "acc,exam_id__2017": 0.7068965517241379,
69
+ "acc,exam_id__2023": 0.7407407407407407,
70
+ "acc,exam_id__2010": 0.7264957264957265,
71
+ "acc,exam_id__2022": 0.6541353383458647,
72
+ "acc,exam_id__2011": 0.7692307692307693,
73
+ "acc,exam_id__2009": 0.7217391304347827,
74
+ "acc,exam_id__2013": 0.6574074074074074,
75
+ "acc,exam_id__2016_2": 0.6910569105691057,
76
+ "main_score": 0.708187543736879
77
+ },
78
+ "harness|bluex|bluex|None|3": {
79
+ "acc,all": 0.6175243393602226,
80
+ "acc,exam_id__USP_2022": 0.4897959183673469,
81
+ "acc,exam_id__UNICAMP_2024": 0.6222222222222222,
82
+ "acc,exam_id__USP_2019": 0.525,
83
+ "acc,exam_id__UNICAMP_2019": 0.64,
84
+ "acc,exam_id__USP_2023": 0.75,
85
+ "acc,exam_id__USP_2024": 0.7317073170731707,
86
+ "acc,exam_id__UNICAMP_2023": 0.6976744186046512,
87
+ "acc,exam_id__UNICAMP_2022": 0.6923076923076923,
88
+ "acc,exam_id__UNICAMP_2021_1": 0.5434782608695652,
89
+ "acc,exam_id__UNICAMP_2021_2": 0.6078431372549019,
90
+ "acc,exam_id__USP_2018": 0.5185185185185185,
91
+ "acc,exam_id__USP_2020": 0.6428571428571429,
92
+ "acc,exam_id__USP_2021": 0.5769230769230769,
93
+ "acc,exam_id__UNICAMP_2018": 0.6296296296296297,
94
+ "acc,exam_id__UNICAMP_2020": 0.6363636363636364,
95
+ "main_score": 0.6175243393602226
96
+ },
97
+ "harness|oab_exams|oab_exams|None|3": {
98
+ "acc,all": 0.532118451025057,
99
+ "acc,exam_id__2013-11": 0.5875,
100
+ "acc,exam_id__2013-12": 0.6375,
101
+ "acc,exam_id__2014-15": 0.6282051282051282,
102
+ "acc,exam_id__2015-17": 0.5641025641025641,
103
+ "acc,exam_id__2012-09": 0.5064935064935064,
104
+ "acc,exam_id__2018-25": 0.4875,
105
+ "acc,exam_id__2017-24": 0.5625,
106
+ "acc,exam_id__2017-22": 0.525,
107
+ "acc,exam_id__2012-06": 0.55,
108
+ "acc,exam_id__2011-04": 0.4375,
109
+ "acc,exam_id__2015-18": 0.5625,
110
+ "acc,exam_id__2010-02": 0.58,
111
+ "acc,exam_id__2015-16": 0.5375,
112
+ "acc,exam_id__2012-08": 0.5875,
113
+ "acc,exam_id__2010-01": 0.49411764705882355,
114
+ "acc,exam_id__2016-20": 0.55,
115
+ "acc,exam_id__2011-03": 0.41414141414141414,
116
+ "acc,exam_id__2012-06a": 0.5875,
117
+ "acc,exam_id__2014-13": 0.4125,
118
+ "acc,exam_id__2012-07": 0.575,
119
+ "acc,exam_id__2017-23": 0.55,
120
+ "acc,exam_id__2016-20a": 0.4625,
121
+ "acc,exam_id__2016-19": 0.5897435897435898,
122
+ "acc,exam_id__2011-05": 0.5125,
123
+ "acc,exam_id__2016-21": 0.425,
124
+ "acc,exam_id__2013-10": 0.525,
125
+ "acc,exam_id__2014-14": 0.5375,
126
+ "main_score": 0.532118451025057
127
+ },
128
+ "harness|assin2_rte|assin2_rte|None|15": {
129
+ "f1_macro,all": 0.9246555544850178,
130
+ "acc,all": 0.9248366013071896,
131
+ "main_score": 0.9246555544850178
132
+ },
133
+ "harness|assin2_sts|assin2_sts|None|15": {
134
+ "pearson,all": 0.7230229756328089,
135
+ "mse,all": 0.6865073529411764,
136
+ "main_score": 0.7230229756328089
137
+ },
138
+ "harness|faquad_nli|faquad_nli|None|15": {
139
+ "f1_macro,all": 0.6993592017638791,
140
+ "acc,all": 0.8415384615384616,
141
+ "main_score": 0.6993592017638791
142
+ },
143
+ "harness|hatebr_offensive|hatebr_offensive|None|25": {
144
+ "f1_macro,all": 0.7752748274431711,
145
+ "acc,all": 0.7835714285714286,
146
+ "main_score": 0.7752748274431711
147
+ },
148
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
149
+ "f1_macro,all": 0.5936756575640811,
150
+ "acc,all": 0.5981198589894242,
151
+ "main_score": 0.5936756575640811
152
+ },
153
+ "harness|tweetsentbr|tweetsentbr|None|25": {
154
+ "f1_macro,all": 0.6978862663702582,
155
+ "acc,all": 0.7388059701492538,
156
+ "main_score": 0.6978862663702582
157
+ }
158
+ },
159
+ "config_tasks": {
160
+ "harness|enem_challenge|enem_challenge": "LM Harness task",
161
+ "harness|bluex|bluex": "LM Harness task",
162
+ "harness|oab_exams|oab_exams": "LM Harness task",
163
+ "harness|assin2_rte|assin2_rte": "LM Harness task",
164
+ "harness|assin2_sts|assin2_sts": "LM Harness task",
165
+ "harness|faquad_nli|faquad_nli": "LM Harness task",
166
+ "harness|hatebr_offensive|hatebr_offensive": "LM Harness task",
167
+ "harness|portuguese_hate_speech|portuguese_hate_speech": "LM Harness task",
168
+ "harness|tweetsentbr|tweetsentbr": "LM Harness task"
169
+ },
170
+ "versions": {
171
+ "all": 0,
172
+ "harness|enem_challenge|enem_challenge": 1.1,
173
+ "harness|bluex|bluex": 1.1,
174
+ "harness|oab_exams|oab_exams": 1.5,
175
+ "harness|assin2_rte|assin2_rte": 1.1,
176
+ "harness|assin2_sts|assin2_sts": 1.1,
177
+ "harness|faquad_nli|faquad_nli": 1.1,
178
+ "harness|hatebr_offensive|hatebr_offensive": 1.0,
179
+ "harness|portuguese_hate_speech|portuguese_hate_speech": 1.0,
180
+ "harness|tweetsentbr|tweetsentbr": 1.0
181
+ },
182
+ "summary_tasks": {
183
+ "harness|enem_challenge|enem_challenge|None|3": {
184
+ "sample_size": 1429,
185
+ "truncated": 0,
186
+ "non_truncated": 1429,
187
+ "padded": 523,
188
+ "non_padded": 906,
189
+ "fewshots_truncated": 0,
190
+ "mean_seq_length": 1415.7809657102869,
191
+ "min_seq_length": 1185,
192
+ "max_seq_length": 2376,
193
+ "max_ctx_length": 2528,
194
+ "max_gen_toks": 32,
195
+ "mean_original_fewshots_size": 3.0,
196
+ "mean_effective_fewshot_size": 3.0
197
+ },
198
+ "harness|bluex|bluex|None|3": {
199
+ "sample_size": 719,
200
+ "truncated": 0,
201
+ "non_truncated": 719,
202
+ "padded": 386,
203
+ "non_padded": 333,
204
+ "fewshots_truncated": 0,
205
+ "mean_seq_length": 1495.2378303198886,
206
+ "min_seq_length": 1175,
207
+ "max_seq_length": 2146,
208
+ "max_ctx_length": 2528,
209
+ "max_gen_toks": 32,
210
+ "mean_original_fewshots_size": 3.0,
211
+ "mean_effective_fewshot_size": 3.0
212
+ },
213
+ "harness|oab_exams|oab_exams|None|3": {
214
+ "sample_size": 2195,
215
+ "truncated": 0,
216
+ "non_truncated": 2195,
217
+ "padded": 1118,
218
+ "non_padded": 1077,
219
+ "fewshots_truncated": 0,
220
+ "mean_seq_length": 1203.888382687927,
221
+ "min_seq_length": 974,
222
+ "max_seq_length": 1617,
223
+ "max_ctx_length": 2528,
224
+ "max_gen_toks": 32,
225
+ "mean_original_fewshots_size": 3.0,
226
+ "mean_effective_fewshot_size": 3.0
227
+ },
228
+ "harness|assin2_rte|assin2_rte|None|15": {
229
+ "sample_size": 2448,
230
+ "truncated": 0,
231
+ "non_truncated": 2448,
232
+ "padded": 303,
233
+ "non_padded": 2145,
234
+ "fewshots_truncated": 0,
235
+ "mean_seq_length": 1307.2818627450981,
236
+ "min_seq_length": 1288,
237
+ "max_seq_length": 1369,
238
+ "max_ctx_length": 2528,
239
+ "max_gen_toks": 32,
240
+ "mean_original_fewshots_size": 15.0,
241
+ "mean_effective_fewshot_size": 15.0
242
+ },
243
+ "harness|assin2_sts|assin2_sts|None|15": {
244
+ "sample_size": 2448,
245
+ "truncated": 0,
246
+ "non_truncated": 2448,
247
+ "padded": 394,
248
+ "non_padded": 2054,
249
+ "fewshots_truncated": 0,
250
+ "mean_seq_length": 1498.2818627450981,
251
+ "min_seq_length": 1479,
252
+ "max_seq_length": 1560,
253
+ "max_ctx_length": 2528,
254
+ "max_gen_toks": 32,
255
+ "mean_original_fewshots_size": 15.0,
256
+ "mean_effective_fewshot_size": 15.0
257
+ },
258
+ "harness|faquad_nli|faquad_nli|None|15": {
259
+ "sample_size": 650,
260
+ "truncated": 0,
261
+ "non_truncated": 650,
262
+ "padded": 370,
263
+ "non_padded": 280,
264
+ "fewshots_truncated": 0,
265
+ "mean_seq_length": 1438.6876923076923,
266
+ "min_seq_length": 1394,
267
+ "max_seq_length": 1534,
268
+ "max_ctx_length": 2528,
269
+ "max_gen_toks": 32,
270
+ "mean_original_fewshots_size": 15.0,
271
+ "mean_effective_fewshot_size": 15.0
272
+ },
273
+ "harness|hatebr_offensive|hatebr_offensive|None|25": {
274
+ "sample_size": 1400,
275
+ "truncated": 0,
276
+ "non_truncated": 1400,
277
+ "padded": 418,
278
+ "non_padded": 982,
279
+ "fewshots_truncated": 0,
280
+ "mean_seq_length": 1245.6992857142857,
281
+ "min_seq_length": 1227,
282
+ "max_seq_length": 1466,
283
+ "max_ctx_length": 2528,
284
+ "max_gen_toks": 32,
285
+ "mean_original_fewshots_size": 25.0,
286
+ "mean_effective_fewshot_size": 25.0
287
+ },
288
+ "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
289
+ "sample_size": 851,
290
+ "truncated": 0,
291
+ "non_truncated": 851,
292
+ "padded": 386,
293
+ "non_padded": 465,
294
+ "fewshots_truncated": 0,
295
+ "mean_seq_length": 1688.62044653349,
296
+ "min_seq_length": 1658,
297
+ "max_seq_length": 1722,
298
+ "max_ctx_length": 2528,
299
+ "max_gen_toks": 32,
300
+ "mean_original_fewshots_size": 25.0,
301
+ "mean_effective_fewshot_size": 25.0
302
+ },
303
+ "harness|tweetsentbr|tweetsentbr|None|25": {
304
+ "sample_size": 2010,
305
+ "truncated": 0,
306
+ "non_truncated": 2010,
307
+ "padded": 320,
308
+ "non_padded": 1690,
309
+ "fewshots_truncated": 0,
310
+ "mean_seq_length": 1539.0567164179104,
311
+ "min_seq_length": 1521,
312
+ "max_seq_length": 1587,
313
+ "max_ctx_length": 2528,
314
+ "max_gen_toks": 32,
315
+ "mean_original_fewshots_size": 25.0,
316
+ "mean_effective_fewshot_size": 25.0
317
+ }
318
+ },
319
+ "summary_general": {
320
+ "truncated": 0,
321
+ "non_truncated": 14150,
322
+ "padded": 4218,
323
+ "non_padded": 9932,
324
+ "fewshots_truncated": 0
325
+ }
326
+ }