Commit
•
13d1862
1
Parent(s):
f6be947
Updating model upstage/SOLAR-10.7B-v1.0
Browse files
upstage/SOLAR-10.7B-v1.0/results_2024-02-16T21-37-23.301583.json
ADDED
@@ -0,0 +1,325 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"config_general": {
|
3 |
+
"start_date": "2024-02-16T21-37-23.301583",
|
4 |
+
"start_time": 1708119443.9578023,
|
5 |
+
"end_time": 1708124924.5659692,
|
6 |
+
"total_evaluation_time_seconds": 5480.60816693306,
|
7 |
+
"has_chat_template": false,
|
8 |
+
"chat_type": null,
|
9 |
+
"n_gpus": 1,
|
10 |
+
"accelerate_num_process": null,
|
11 |
+
"model_sha": "399afd2ff676489c2712feb0f92286a77b8d0cd5",
|
12 |
+
"model_dtype": "float16",
|
13 |
+
"model_memory_footprint": 21563723776,
|
14 |
+
"model_num_parameters": 10731524096,
|
15 |
+
"model_is_loaded_in_4bit": false,
|
16 |
+
"model_is_loaded_in_8bit": false,
|
17 |
+
"model_is_quantized": null,
|
18 |
+
"model_device": "cuda:0",
|
19 |
+
"batch_size": 16,
|
20 |
+
"max_length": 4096,
|
21 |
+
"max_ctx_length": 4064,
|
22 |
+
"max_gen_toks": 32,
|
23 |
+
"model_name": "upstage/SOLAR-10.7B-v1.0",
|
24 |
+
"job_id": 222,
|
25 |
+
"model_id": "upstage/SOLAR-10.7B-v1.0_eval_request_False_float16_Original",
|
26 |
+
"model_base_model": "",
|
27 |
+
"model_weight_type": "Original",
|
28 |
+
"model_revision": "main",
|
29 |
+
"model_private": false,
|
30 |
+
"model_type": "🟢 : pretrained",
|
31 |
+
"model_architectures": "LlamaForCausalLM",
|
32 |
+
"submitted_time": "2024-02-05T23:00:26Z",
|
33 |
+
"lm_eval_model_type": "huggingface",
|
34 |
+
"eval_version": "1.1.0"
|
35 |
+
},
|
36 |
+
"results": {
|
37 |
+
"all_grouped_average": 0.6886836571901778,
|
38 |
+
"all_grouped_npm": 0.5285867458138527,
|
39 |
+
"all_grouped": {
|
40 |
+
"enem_challenge": 0.6948915325402379,
|
41 |
+
"bluex": 0.5897079276773296,
|
42 |
+
"oab_exams": 0.4865603644646925,
|
43 |
+
"assin2_rte": 0.9185166017874254,
|
44 |
+
"assin2_sts": 0.7827021446757074,
|
45 |
+
"faquad_nli": 0.6517857142857143,
|
46 |
+
"hatebr_offensive": 0.8928551748909674,
|
47 |
+
"portuguese_hate_speech": 0.5498790914527116,
|
48 |
+
"tweetsentbr": 0.6312543629368131
|
49 |
+
},
|
50 |
+
"all": {
|
51 |
+
"harness|enem_challenge|enem_challenge|None|3": 0.6948915325402379,
|
52 |
+
"harness|bluex|bluex|None|3": 0.5897079276773296,
|
53 |
+
"harness|oab_exams|oab_exams|None|3": 0.4865603644646925,
|
54 |
+
"harness|assin2_rte|assin2_rte|None|15": 0.9185166017874254,
|
55 |
+
"harness|assin2_sts|assin2_sts|None|15": 0.7827021446757074,
|
56 |
+
"harness|faquad_nli|faquad_nli|None|15": 0.6517857142857143,
|
57 |
+
"harness|hatebr_offensive|hatebr_offensive|None|25": 0.8928551748909674,
|
58 |
+
"harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.5498790914527116,
|
59 |
+
"harness|tweetsentbr|tweetsentbr|None|25": 0.6312543629368131
|
60 |
+
},
|
61 |
+
"harness|enem_challenge|enem_challenge|None|3": {
|
62 |
+
"acc,all": 0.6948915325402379,
|
63 |
+
"acc,exam_id__2010": 0.7094017094017094,
|
64 |
+
"acc,exam_id__2011": 0.7521367521367521,
|
65 |
+
"acc,exam_id__2015": 0.7563025210084033,
|
66 |
+
"acc,exam_id__2022": 0.6616541353383458,
|
67 |
+
"acc,exam_id__2016": 0.6528925619834711,
|
68 |
+
"acc,exam_id__2009": 0.6869565217391305,
|
69 |
+
"acc,exam_id__2017": 0.6724137931034483,
|
70 |
+
"acc,exam_id__2013": 0.6481481481481481,
|
71 |
+
"acc,exam_id__2016_2": 0.7317073170731707,
|
72 |
+
"acc,exam_id__2012": 0.6637931034482759,
|
73 |
+
"acc,exam_id__2023": 0.6962962962962963,
|
74 |
+
"acc,exam_id__2014": 0.7064220183486238,
|
75 |
+
"main_score": 0.6948915325402379
|
76 |
+
},
|
77 |
+
"harness|bluex|bluex|None|3": {
|
78 |
+
"acc,all": 0.5897079276773296,
|
79 |
+
"acc,exam_id__USP_2023": 0.6590909090909091,
|
80 |
+
"acc,exam_id__UNICAMP_2020": 0.5272727272727272,
|
81 |
+
"acc,exam_id__USP_2024": 0.7560975609756098,
|
82 |
+
"acc,exam_id__USP_2018": 0.5740740740740741,
|
83 |
+
"acc,exam_id__UNICAMP_2019": 0.58,
|
84 |
+
"acc,exam_id__USP_2021": 0.5576923076923077,
|
85 |
+
"acc,exam_id__UNICAMP_2021_2": 0.5098039215686274,
|
86 |
+
"acc,exam_id__UNICAMP_2023": 0.627906976744186,
|
87 |
+
"acc,exam_id__USP_2022": 0.5510204081632653,
|
88 |
+
"acc,exam_id__UNICAMP_2018": 0.5370370370370371,
|
89 |
+
"acc,exam_id__USP_2020": 0.5892857142857143,
|
90 |
+
"acc,exam_id__UNICAMP_2021_1": 0.6304347826086957,
|
91 |
+
"acc,exam_id__USP_2019": 0.6,
|
92 |
+
"acc,exam_id__UNICAMP_2022": 0.6923076923076923,
|
93 |
+
"acc,exam_id__UNICAMP_2024": 0.5333333333333333,
|
94 |
+
"main_score": 0.5897079276773296
|
95 |
+
},
|
96 |
+
"harness|oab_exams|oab_exams|None|3": {
|
97 |
+
"acc,all": 0.4865603644646925,
|
98 |
+
"acc,exam_id__2015-18": 0.525,
|
99 |
+
"acc,exam_id__2011-03": 0.37373737373737376,
|
100 |
+
"acc,exam_id__2017-22": 0.55,
|
101 |
+
"acc,exam_id__2012-06": 0.5125,
|
102 |
+
"acc,exam_id__2010-02": 0.44,
|
103 |
+
"acc,exam_id__2016-19": 0.47435897435897434,
|
104 |
+
"acc,exam_id__2012-09": 0.33766233766233766,
|
105 |
+
"acc,exam_id__2017-23": 0.4875,
|
106 |
+
"acc,exam_id__2013-11": 0.5,
|
107 |
+
"acc,exam_id__2010-01": 0.3411764705882353,
|
108 |
+
"acc,exam_id__2011-04": 0.4875,
|
109 |
+
"acc,exam_id__2014-14": 0.5125,
|
110 |
+
"acc,exam_id__2018-25": 0.5,
|
111 |
+
"acc,exam_id__2016-20a": 0.4625,
|
112 |
+
"acc,exam_id__2014-15": 0.5128205128205128,
|
113 |
+
"acc,exam_id__2011-05": 0.475,
|
114 |
+
"acc,exam_id__2015-17": 0.5897435897435898,
|
115 |
+
"acc,exam_id__2012-06a": 0.4875,
|
116 |
+
"acc,exam_id__2013-12": 0.6125,
|
117 |
+
"acc,exam_id__2012-07": 0.425,
|
118 |
+
"acc,exam_id__2012-08": 0.5375,
|
119 |
+
"acc,exam_id__2017-24": 0.5375,
|
120 |
+
"acc,exam_id__2014-13": 0.4625,
|
121 |
+
"acc,exam_id__2016-21": 0.4875,
|
122 |
+
"acc,exam_id__2016-20": 0.575,
|
123 |
+
"acc,exam_id__2015-16": 0.4625,
|
124 |
+
"acc,exam_id__2013-10": 0.5125,
|
125 |
+
"main_score": 0.4865603644646925
|
126 |
+
},
|
127 |
+
"harness|assin2_rte|assin2_rte|None|15": {
|
128 |
+
"f1_macro,all": 0.9185166017874254,
|
129 |
+
"acc,all": 0.9187091503267973,
|
130 |
+
"main_score": 0.9185166017874254
|
131 |
+
},
|
132 |
+
"harness|assin2_sts|assin2_sts|None|15": {
|
133 |
+
"pearson,all": 0.7827021446757074,
|
134 |
+
"mse,all": 0.5733006535947712,
|
135 |
+
"main_score": 0.7827021446757074
|
136 |
+
},
|
137 |
+
"harness|faquad_nli|faquad_nli|None|15": {
|
138 |
+
"f1_macro,all": 0.6517857142857143,
|
139 |
+
"acc,all": 0.8338461538461538,
|
140 |
+
"main_score": 0.6517857142857143
|
141 |
+
},
|
142 |
+
"harness|hatebr_offensive|hatebr_offensive|None|25": {
|
143 |
+
"f1_macro,all": 0.8928551748909674,
|
144 |
+
"acc,all": 0.8928571428571429,
|
145 |
+
"main_score": 0.8928551748909674
|
146 |
+
},
|
147 |
+
"harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
|
148 |
+
"f1_macro,all": 0.5498790914527116,
|
149 |
+
"acc,all": 0.5499412455934195,
|
150 |
+
"main_score": 0.5498790914527116
|
151 |
+
},
|
152 |
+
"harness|tweetsentbr|tweetsentbr|None|25": {
|
153 |
+
"f1_macro,all": 0.6312543629368131,
|
154 |
+
"acc,all": 0.7129353233830846,
|
155 |
+
"main_score": 0.6312543629368131
|
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": 1620.039188243527,
|
190 |
+
"min_seq_length": 1354,
|
191 |
+
"max_seq_length": 2618,
|
192 |
+
"max_ctx_length": 4064,
|
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": 1719.9262865090404,
|
205 |
+
"min_seq_length": 1343,
|
206 |
+
"max_seq_length": 2520,
|
207 |
+
"max_ctx_length": 4064,
|
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": 4064,
|
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": 4064,
|
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": 4064,
|
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": 4064,
|
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": 4064,
|
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": 4064,
|
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": 4064,
|
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 |
+
}
|