eduagarcia
commited on
Commit
•
617371f
1
Parent(s):
0584fc9
Updating model OrionStarAI/Orion-14B-Base
Browse files
OrionStarAI/Orion-14B-Base/results_2024-04-03T01-15-16.610234.json
ADDED
@@ -0,0 +1,325 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"config_general": {
|
3 |
+
"start_date": "2024-04-03T01-15-16.610234",
|
4 |
+
"start_time": 1712106917.1772623,
|
5 |
+
"end_time": 1712122311.3194711,
|
6 |
+
"total_evaluation_time_seconds": 15394.142208814621,
|
7 |
+
"has_chat_template": false,
|
8 |
+
"chat_type": null,
|
9 |
+
"n_gpus": 1,
|
10 |
+
"accelerate_num_process": null,
|
11 |
+
"model_sha": "b988a511e9c880a465e704c57e3f297a3e7ef282",
|
12 |
+
"model_dtype": "bfloat16",
|
13 |
+
"model_memory_footprint": 29081303040,
|
14 |
+
"model_num_parameters": 14498703360,
|
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": 2,
|
20 |
+
"max_length": 2560,
|
21 |
+
"max_ctx_length": 2528,
|
22 |
+
"max_gen_toks": 32,
|
23 |
+
"model_name": "OrionStarAI/Orion-14B-Base",
|
24 |
+
"job_id": 342,
|
25 |
+
"model_id": "OrionStarAI/Orion-14B-Base_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": "🟢 : pretrained",
|
31 |
+
"model_architectures": "OrionForCausalLM",
|
32 |
+
"submitted_time": "2024-02-05T23:08:40Z",
|
33 |
+
"lm_eval_model_type": "huggingface",
|
34 |
+
"eval_version": "1.1.0"
|
35 |
+
},
|
36 |
+
"results": {
|
37 |
+
"all_grouped_average": 0.6300524151666059,
|
38 |
+
"all_grouped_npm": 0.4189987024495036,
|
39 |
+
"all_grouped": {
|
40 |
+
"enem_challenge": 0.6648005598320503,
|
41 |
+
"bluex": 0.5869262865090403,
|
42 |
+
"oab_exams": 0.47927107061503416,
|
43 |
+
"assin2_rte": 0.9030903950791537,
|
44 |
+
"assin2_sts": 0.7713114437383479,
|
45 |
+
"faquad_nli": 0.4396551724137931,
|
46 |
+
"hatebr_offensive": 0.5878495043212718,
|
47 |
+
"portuguese_hate_speech": 0.6028618421734901,
|
48 |
+
"tweetsentbr": 0.6347054618172728
|
49 |
+
},
|
50 |
+
"all": {
|
51 |
+
"harness|enem_challenge|enem_challenge|None|3": 0.6648005598320503,
|
52 |
+
"harness|bluex|bluex|None|3": 0.5869262865090403,
|
53 |
+
"harness|oab_exams|oab_exams|None|3": 0.47927107061503416,
|
54 |
+
"harness|assin2_rte|assin2_rte|None|15": 0.9030903950791537,
|
55 |
+
"harness|assin2_sts|assin2_sts|None|15": 0.7713114437383479,
|
56 |
+
"harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931,
|
57 |
+
"harness|hatebr_offensive|hatebr_offensive|None|25": 0.5878495043212718,
|
58 |
+
"harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.6028618421734901,
|
59 |
+
"harness|tweetsentbr|tweetsentbr|None|25": 0.6347054618172728
|
60 |
+
},
|
61 |
+
"harness|enem_challenge|enem_challenge|None|3": {
|
62 |
+
"acc,all": 0.6648005598320503,
|
63 |
+
"acc,exam_id__2012": 0.6896551724137931,
|
64 |
+
"acc,exam_id__2013": 0.6574074074074074,
|
65 |
+
"acc,exam_id__2017": 0.6982758620689655,
|
66 |
+
"acc,exam_id__2016_2": 0.6585365853658537,
|
67 |
+
"acc,exam_id__2015": 0.6722689075630253,
|
68 |
+
"acc,exam_id__2011": 0.717948717948718,
|
69 |
+
"acc,exam_id__2009": 0.6434782608695652,
|
70 |
+
"acc,exam_id__2014": 0.6788990825688074,
|
71 |
+
"acc,exam_id__2010": 0.6410256410256411,
|
72 |
+
"acc,exam_id__2016": 0.628099173553719,
|
73 |
+
"acc,exam_id__2022": 0.6616541353383458,
|
74 |
+
"acc,exam_id__2023": 0.6370370370370371,
|
75 |
+
"main_score": 0.6648005598320503
|
76 |
+
},
|
77 |
+
"harness|bluex|bluex|None|3": {
|
78 |
+
"acc,all": 0.5869262865090403,
|
79 |
+
"acc,exam_id__UNICAMP_2022": 0.5897435897435898,
|
80 |
+
"acc,exam_id__UNICAMP_2020": 0.6181818181818182,
|
81 |
+
"acc,exam_id__UNICAMP_2021_2": 0.5294117647058824,
|
82 |
+
"acc,exam_id__UNICAMP_2019": 0.64,
|
83 |
+
"acc,exam_id__USP_2020": 0.625,
|
84 |
+
"acc,exam_id__USP_2018": 0.42592592592592593,
|
85 |
+
"acc,exam_id__UNICAMP_2024": 0.6222222222222222,
|
86 |
+
"acc,exam_id__USP_2024": 0.6829268292682927,
|
87 |
+
"acc,exam_id__USP_2022": 0.6122448979591837,
|
88 |
+
"acc,exam_id__USP_2021": 0.5769230769230769,
|
89 |
+
"acc,exam_id__USP_2023": 0.6590909090909091,
|
90 |
+
"acc,exam_id__UNICAMP_2018": 0.5370370370370371,
|
91 |
+
"acc,exam_id__UNICAMP_2021_1": 0.5652173913043478,
|
92 |
+
"acc,exam_id__USP_2019": 0.525,
|
93 |
+
"acc,exam_id__UNICAMP_2023": 0.627906976744186,
|
94 |
+
"main_score": 0.5869262865090403
|
95 |
+
},
|
96 |
+
"harness|oab_exams|oab_exams|None|3": {
|
97 |
+
"acc,all": 0.47927107061503416,
|
98 |
+
"acc,exam_id__2012-06": 0.4125,
|
99 |
+
"acc,exam_id__2014-15": 0.5512820512820513,
|
100 |
+
"acc,exam_id__2016-21": 0.45,
|
101 |
+
"acc,exam_id__2012-09": 0.4025974025974026,
|
102 |
+
"acc,exam_id__2013-11": 0.55,
|
103 |
+
"acc,exam_id__2014-13": 0.4,
|
104 |
+
"acc,exam_id__2015-18": 0.525,
|
105 |
+
"acc,exam_id__2011-04": 0.5125,
|
106 |
+
"acc,exam_id__2011-03": 0.5151515151515151,
|
107 |
+
"acc,exam_id__2017-23": 0.4875,
|
108 |
+
"acc,exam_id__2012-08": 0.4875,
|
109 |
+
"acc,exam_id__2012-07": 0.45,
|
110 |
+
"acc,exam_id__2012-06a": 0.475,
|
111 |
+
"acc,exam_id__2014-14": 0.4875,
|
112 |
+
"acc,exam_id__2015-17": 0.5384615384615384,
|
113 |
+
"acc,exam_id__2017-22": 0.5375,
|
114 |
+
"acc,exam_id__2015-16": 0.475,
|
115 |
+
"acc,exam_id__2013-12": 0.5125,
|
116 |
+
"acc,exam_id__2017-24": 0.475,
|
117 |
+
"acc,exam_id__2010-02": 0.55,
|
118 |
+
"acc,exam_id__2016-19": 0.5,
|
119 |
+
"acc,exam_id__2010-01": 0.38823529411764707,
|
120 |
+
"acc,exam_id__2016-20": 0.4875,
|
121 |
+
"acc,exam_id__2018-25": 0.425,
|
122 |
+
"acc,exam_id__2016-20a": 0.3625,
|
123 |
+
"acc,exam_id__2013-10": 0.4625,
|
124 |
+
"acc,exam_id__2011-05": 0.5,
|
125 |
+
"main_score": 0.47927107061503416
|
126 |
+
},
|
127 |
+
"harness|assin2_rte|assin2_rte|None|15": {
|
128 |
+
"f1_macro,all": 0.9030903950791537,
|
129 |
+
"acc,all": 0.9031862745098039,
|
130 |
+
"main_score": 0.9030903950791537
|
131 |
+
},
|
132 |
+
"harness|assin2_sts|assin2_sts|None|15": {
|
133 |
+
"pearson,all": 0.7713114437383479,
|
134 |
+
"mse,all": 0.5616013071895426,
|
135 |
+
"main_score": 0.7713114437383479
|
136 |
+
},
|
137 |
+
"harness|faquad_nli|faquad_nli|None|15": {
|
138 |
+
"f1_macro,all": 0.4396551724137931,
|
139 |
+
"acc,all": 0.7846153846153846,
|
140 |
+
"main_score": 0.4396551724137931
|
141 |
+
},
|
142 |
+
"harness|hatebr_offensive|hatebr_offensive|None|25": {
|
143 |
+
"f1_macro,all": 0.5878495043212718,
|
144 |
+
"acc,all": 0.64,
|
145 |
+
"main_score": 0.5878495043212718
|
146 |
+
},
|
147 |
+
"harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
|
148 |
+
"f1_macro,all": 0.6028618421734901,
|
149 |
+
"acc,all": 0.7356051703877791,
|
150 |
+
"main_score": 0.6028618421734901
|
151 |
+
},
|
152 |
+
"harness|tweetsentbr|tweetsentbr|None|25": {
|
153 |
+
"f1_macro,all": 0.6347054618172728,
|
154 |
+
"acc,all": 0.663681592039801,
|
155 |
+
"main_score": 0.6347054618172728
|
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": 9,
|
185 |
+
"non_truncated": 1420,
|
186 |
+
"padded": 0,
|
187 |
+
"non_padded": 1429,
|
188 |
+
"fewshots_truncated": 10,
|
189 |
+
"mean_seq_length": 1868.518544436669,
|
190 |
+
"min_seq_length": 1543,
|
191 |
+
"max_seq_length": 3146,
|
192 |
+
"max_ctx_length": 2528,
|
193 |
+
"max_gen_toks": 32,
|
194 |
+
"mean_original_fewshots_size": 3.0,
|
195 |
+
"mean_effective_fewshot_size": 2.993002099370189
|
196 |
+
},
|
197 |
+
"harness|bluex|bluex|None|3": {
|
198 |
+
"sample_size": 719,
|
199 |
+
"truncated": 11,
|
200 |
+
"non_truncated": 708,
|
201 |
+
"padded": 0,
|
202 |
+
"non_padded": 719,
|
203 |
+
"fewshots_truncated": 14,
|
204 |
+
"mean_seq_length": 1957.164116828929,
|
205 |
+
"min_seq_length": 1513,
|
206 |
+
"max_seq_length": 2915,
|
207 |
+
"max_ctx_length": 2528,
|
208 |
+
"max_gen_toks": 32,
|
209 |
+
"mean_original_fewshots_size": 3.0,
|
210 |
+
"mean_effective_fewshot_size": 2.980528511821975
|
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": 1680.2997722095672,
|
220 |
+
"min_seq_length": 1350,
|
221 |
+
"max_seq_length": 2304,
|
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": 1627.0081699346406,
|
235 |
+
"min_seq_length": 1600,
|
236 |
+
"max_seq_length": 1709,
|
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": 1727.0081699346406,
|
250 |
+
"min_seq_length": 1700,
|
251 |
+
"max_seq_length": 1809,
|
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": 1950.2184615384615,
|
265 |
+
"min_seq_length": 1884,
|
266 |
+
"max_seq_length": 2107,
|
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": 1472.925,
|
280 |
+
"min_seq_length": 1447,
|
281 |
+
"max_seq_length": 1775,
|
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": 2040.641598119859,
|
295 |
+
"min_seq_length": 1999,
|
296 |
+
"max_seq_length": 2077,
|
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": 1879.7417910447762,
|
310 |
+
"min_seq_length": 1856,
|
311 |
+
"max_seq_length": 1938,
|
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": 20,
|
320 |
+
"non_truncated": 14130,
|
321 |
+
"padded": 0,
|
322 |
+
"non_padded": 14150,
|
323 |
+
"fewshots_truncated": 24
|
324 |
+
}
|
325 |
+
}
|