File size: 13,237 Bytes
338b334
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
{
    "config_general": {
        "start_date": "2024-02-28T05-28-55.109832",
        "start_time": 1709098137.2777982,
        "end_time": 1709108043.6465604,
        "total_evaluation_time_seconds": 9906.368762254715,
        "has_chat_template": false,
        "chat_type": null,
        "n_gpus": 1,
        "accelerate_num_process": null,
        "model_sha": "24e8c03148ffd1f3e469744dfc24ad2ad82848f8",
        "model_dtype": "bfloat16",
        "model_memory_footprint": 26065313792,
        "model_num_parameters": 13015874560,
        "model_is_loaded_in_4bit": null,
        "model_is_loaded_in_8bit": null,
        "model_is_quantized": null,
        "model_device": "cuda:0",
        "batch_size": 16,
        "max_length": 2048,
        "max_ctx_length": 2016,
        "max_gen_toks": 32,
        "model_name": "NousResearch/Nous-Hermes-13b",
        "job_id": 271,
        "model_id": "NousResearch/Nous-Hermes-13b_eval_request_False_bfloat16_Original",
        "model_base_model": "",
        "model_weight_type": "Original",
        "model_revision": "main",
        "model_private": false,
        "model_type": "💬 : chat models (RLHF, DPO, IFT, ...)",
        "model_architectures": "LlamaForCausalLM",
        "submitted_time": "2024-02-27T00:38:36Z",
        "lm_eval_model_type": "huggingface",
        "eval_version": "1.1.0"
    },
    "results": {
        "all_grouped_average": 0.5570174936492952,
        "all_grouped_npm": 0.3440715321174036,
        "all_grouped": {
            "enem_challenge": 0.46186144156752973,
            "bluex": 0.36300417246175243,
            "oab_exams": 0.34350797266514804,
            "assin2_rte": 0.6630418610067084,
            "assin2_sts": 0.5166061482295778,
            "faquad_nli": 0.6245167597351622,
            "hatebr_offensive": 0.7448674633758359,
            "portuguese_hate_speech": 0.7040514693096853,
            "tweetsentbr": 0.591700154492257
        },
        "all": {
            "harness|enem_challenge|enem_challenge|None|3": 0.46186144156752973,
            "harness|bluex|bluex|None|3": 0.36300417246175243,
            "harness|oab_exams|oab_exams|None|3": 0.34350797266514804,
            "harness|assin2_rte|assin2_rte|None|15": 0.6630418610067084,
            "harness|assin2_sts|assin2_sts|None|15": 0.5166061482295778,
            "harness|faquad_nli|faquad_nli|None|15": 0.6245167597351622,
            "harness|hatebr_offensive|hatebr_offensive|None|25": 0.7448674633758359,
            "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.7040514693096853,
            "harness|tweetsentbr|tweetsentbr|None|25": 0.591700154492257
        },
        "harness|enem_challenge|enem_challenge|None|3": {
            "acc,all": 0.46186144156752973,
            "acc,exam_id__2016_2": 0.44715447154471544,
            "acc,exam_id__2023": 0.5259259259259259,
            "acc,exam_id__2014": 0.5045871559633027,
            "acc,exam_id__2017": 0.3620689655172414,
            "acc,exam_id__2009": 0.46956521739130436,
            "acc,exam_id__2015": 0.44537815126050423,
            "acc,exam_id__2016": 0.4462809917355372,
            "acc,exam_id__2022": 0.47368421052631576,
            "acc,exam_id__2012": 0.5,
            "acc,exam_id__2013": 0.4722222222222222,
            "acc,exam_id__2011": 0.4188034188034188,
            "acc,exam_id__2010": 0.4700854700854701,
            "main_score": 0.46186144156752973
        },
        "harness|bluex|bluex|None|3": {
            "acc,all": 0.36300417246175243,
            "acc,exam_id__USP_2023": 0.3181818181818182,
            "acc,exam_id__UNICAMP_2023": 0.3953488372093023,
            "acc,exam_id__UNICAMP_2024": 0.5111111111111111,
            "acc,exam_id__USP_2021": 0.34615384615384615,
            "acc,exam_id__UNICAMP_2021_2": 0.5294117647058824,
            "acc,exam_id__UNICAMP_2019": 0.34,
            "acc,exam_id__UNICAMP_2022": 0.3333333333333333,
            "acc,exam_id__UNICAMP_2018": 0.2777777777777778,
            "acc,exam_id__UNICAMP_2020": 0.4,
            "acc,exam_id__USP_2020": 0.4107142857142857,
            "acc,exam_id__USP_2018": 0.3333333333333333,
            "acc,exam_id__USP_2019": 0.325,
            "acc,exam_id__UNICAMP_2021_1": 0.30434782608695654,
            "acc,exam_id__USP_2024": 0.34146341463414637,
            "acc,exam_id__USP_2022": 0.2653061224489796,
            "main_score": 0.36300417246175243
        },
        "harness|oab_exams|oab_exams|None|3": {
            "acc,all": 0.34350797266514804,
            "acc,exam_id__2012-08": 0.3125,
            "acc,exam_id__2015-17": 0.41025641025641024,
            "acc,exam_id__2012-09": 0.2857142857142857,
            "acc,exam_id__2013-11": 0.3875,
            "acc,exam_id__2014-13": 0.275,
            "acc,exam_id__2012-06": 0.325,
            "acc,exam_id__2017-24": 0.325,
            "acc,exam_id__2010-01": 0.21176470588235294,
            "acc,exam_id__2016-20a": 0.325,
            "acc,exam_id__2012-06a": 0.35,
            "acc,exam_id__2017-23": 0.3625,
            "acc,exam_id__2014-14": 0.2875,
            "acc,exam_id__2018-25": 0.4375,
            "acc,exam_id__2013-10": 0.3125,
            "acc,exam_id__2011-05": 0.3,
            "acc,exam_id__2017-22": 0.375,
            "acc,exam_id__2011-03": 0.31313131313131315,
            "acc,exam_id__2016-21": 0.4125,
            "acc,exam_id__2015-16": 0.4125,
            "acc,exam_id__2011-04": 0.3875,
            "acc,exam_id__2016-20": 0.3625,
            "acc,exam_id__2014-15": 0.44871794871794873,
            "acc,exam_id__2012-07": 0.325,
            "acc,exam_id__2016-19": 0.34615384615384615,
            "acc,exam_id__2015-18": 0.4,
            "acc,exam_id__2013-12": 0.225,
            "acc,exam_id__2010-02": 0.37,
            "main_score": 0.34350797266514804
        },
        "harness|assin2_rte|assin2_rte|None|15": {
            "f1_macro,all": 0.6630418610067084,
            "acc,all": 0.6870915032679739,
            "main_score": 0.6630418610067084
        },
        "harness|assin2_sts|assin2_sts|None|15": {
            "pearson,all": 0.5166061482295778,
            "mse,all": 1.276241830065359,
            "main_score": 0.5166061482295778
        },
        "harness|faquad_nli|faquad_nli|None|15": {
            "f1_macro,all": 0.6245167597351622,
            "acc,all": 0.82,
            "main_score": 0.6245167597351622
        },
        "harness|hatebr_offensive|hatebr_offensive|None|25": {
            "f1_macro,all": 0.7448674633758359,
            "acc,all": 0.755,
            "main_score": 0.7448674633758359
        },
        "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
            "f1_macro,all": 0.7040514693096853,
            "acc,all": 0.736780258519389,
            "main_score": 0.7040514693096853
        },
        "harness|tweetsentbr|tweetsentbr|None|25": {
            "f1_macro,all": 0.591700154492257,
            "acc,all": 0.6592039800995025,
            "main_score": 0.591700154492257
        }
    },
    "config_tasks": {
        "harness|enem_challenge|enem_challenge": "LM Harness task",
        "harness|bluex|bluex": "LM Harness task",
        "harness|oab_exams|oab_exams": "LM Harness task",
        "harness|assin2_rte|assin2_rte": "LM Harness task",
        "harness|assin2_sts|assin2_sts": "LM Harness task",
        "harness|faquad_nli|faquad_nli": "LM Harness task",
        "harness|hatebr_offensive|hatebr_offensive": "LM Harness task",
        "harness|portuguese_hate_speech|portuguese_hate_speech": "LM Harness task",
        "harness|tweetsentbr|tweetsentbr": "LM Harness task"
    },
    "versions": {
        "all": 0,
        "harness|enem_challenge|enem_challenge": 1.1,
        "harness|bluex|bluex": 1.1,
        "harness|oab_exams|oab_exams": 1.5,
        "harness|assin2_rte|assin2_rte": 1.1,
        "harness|assin2_sts|assin2_sts": 1.1,
        "harness|faquad_nli|faquad_nli": 1.1,
        "harness|hatebr_offensive|hatebr_offensive": 1.0,
        "harness|portuguese_hate_speech|portuguese_hate_speech": 1.0,
        "harness|tweetsentbr|tweetsentbr": 1.0
    },
    "summary_tasks": {
        "harness|enem_challenge|enem_challenge|None|3": {
            "sample_size": 1429,
            "truncated": 13,
            "non_truncated": 1416,
            "padded": 0,
            "non_padded": 1429,
            "fewshots_truncated": 15,
            "mean_seq_length": 1547.9881035689293,
            "min_seq_length": 1295,
            "max_seq_length": 2587,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 3.0,
            "mean_effective_fewshot_size": 2.9895031490552832
        },
        "harness|bluex|bluex|None|3": {
            "sample_size": 719,
            "truncated": 34,
            "non_truncated": 685,
            "padded": 0,
            "non_padded": 719,
            "fewshots_truncated": 47,
            "mean_seq_length": 1668.7426981919332,
            "min_seq_length": 1302,
            "max_seq_length": 2428,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 3.0,
            "mean_effective_fewshot_size": 2.934631432545202
        },
        "harness|oab_exams|oab_exams|None|3": {
            "sample_size": 2195,
            "truncated": 0,
            "non_truncated": 2195,
            "padded": 0,
            "non_padded": 2195,
            "fewshots_truncated": 0,
            "mean_seq_length": 1320.4145785876992,
            "min_seq_length": 1065,
            "max_seq_length": 1802,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 3.0,
            "mean_effective_fewshot_size": 3.0
        },
        "harness|assin2_rte|assin2_rte|None|15": {
            "sample_size": 2448,
            "truncated": 0,
            "non_truncated": 2448,
            "padded": 0,
            "non_padded": 2448,
            "fewshots_truncated": 0,
            "mean_seq_length": 1303.9889705882354,
            "min_seq_length": 1281,
            "max_seq_length": 1370,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 15.0,
            "mean_effective_fewshot_size": 15.0
        },
        "harness|assin2_sts|assin2_sts|None|15": {
            "sample_size": 2448,
            "truncated": 0,
            "non_truncated": 2448,
            "padded": 0,
            "non_padded": 2448,
            "fewshots_truncated": 0,
            "mean_seq_length": 1527.9889705882354,
            "min_seq_length": 1505,
            "max_seq_length": 1594,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 15.0,
            "mean_effective_fewshot_size": 15.0
        },
        "harness|faquad_nli|faquad_nli|None|15": {
            "sample_size": 650,
            "truncated": 0,
            "non_truncated": 650,
            "padded": 0,
            "non_padded": 650,
            "fewshots_truncated": 0,
            "mean_seq_length": 1511.1184615384616,
            "min_seq_length": 1459,
            "max_seq_length": 1618,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 15.0,
            "mean_effective_fewshot_size": 15.0
        },
        "harness|hatebr_offensive|hatebr_offensive|None|25": {
            "sample_size": 1400,
            "truncated": 0,
            "non_truncated": 1400,
            "padded": 0,
            "non_padded": 1400,
            "fewshots_truncated": 0,
            "mean_seq_length": 1268.9178571428572,
            "min_seq_length": 1245,
            "max_seq_length": 1515,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 25.0,
            "mean_effective_fewshot_size": 25.0
        },
        "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
            "sample_size": 851,
            "truncated": 0,
            "non_truncated": 851,
            "padded": 0,
            "non_padded": 851,
            "fewshots_truncated": 0,
            "mean_seq_length": 1760.801410105758,
            "min_seq_length": 1726,
            "max_seq_length": 1804,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 25.0,
            "mean_effective_fewshot_size": 25.0
        },
        "harness|tweetsentbr|tweetsentbr|None|25": {
            "sample_size": 2010,
            "truncated": 0,
            "non_truncated": 2010,
            "padded": 0,
            "non_padded": 2010,
            "fewshots_truncated": 0,
            "mean_seq_length": 1527.6845771144278,
            "min_seq_length": 1506,
            "max_seq_length": 1645,
            "max_ctx_length": 2016,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 25.0,
            "mean_effective_fewshot_size": 25.0
        }
    },
    "summary_general": {
        "truncated": 47,
        "non_truncated": 14103,
        "padded": 0,
        "non_padded": 14150,
        "fewshots_truncated": 62
    }
}