Updating model 22h/cabrita_7b_pt_850000
Browse files
22h/cabrita_7b_pt_850000/results_2024-03-08T02-07-35.059732.json
ADDED
|
@@ -0,0 +1,325 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"config_general": {
|
| 3 |
+
"start_date": "2024-03-08T02-07-35.059732",
|
| 4 |
+
"start_time": 1709863656.8278544,
|
| 5 |
+
"end_time": 1709877780.2710946,
|
| 6 |
+
"total_evaluation_time_seconds": 14123.44324016571,
|
| 7 |
+
"has_chat_template": false,
|
| 8 |
+
"chat_type": null,
|
| 9 |
+
"n_gpus": 1,
|
| 10 |
+
"accelerate_num_process": null,
|
| 11 |
+
"model_sha": "1266df41f51fed9c1914f164152072acc5f89d6d",
|
| 12 |
+
"model_dtype": "float16",
|
| 13 |
+
"model_memory_footprint": 13842268160,
|
| 14 |
+
"model_num_parameters": 6902255616,
|
| 15 |
+
"model_is_loaded_in_4bit": null,
|
| 16 |
+
"model_is_loaded_in_8bit": null,
|
| 17 |
+
"model_is_quantized": null,
|
| 18 |
+
"model_device": "cuda:1",
|
| 19 |
+
"batch_size": 8,
|
| 20 |
+
"max_length": 2048,
|
| 21 |
+
"max_ctx_length": 2016,
|
| 22 |
+
"max_gen_toks": 32,
|
| 23 |
+
"model_name": "22h/cabrita_7b_pt_850000",
|
| 24 |
+
"job_id": 305,
|
| 25 |
+
"model_id": "22h/cabrita_7b_pt_850000_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": "🆎 : language adapted models (FP, FT, ...)",
|
| 31 |
+
"model_architectures": "LlamaForCausalLM",
|
| 32 |
+
"submitted_time": "2024-02-11T13:34:40Z",
|
| 33 |
+
"lm_eval_model_type": "huggingface",
|
| 34 |
+
"eval_version": "1.1.0"
|
| 35 |
+
},
|
| 36 |
+
"results": {
|
| 37 |
+
"all_grouped_average": 0.32141956108734737,
|
| 38 |
+
"all_grouped_npm": -0.03225449824402505,
|
| 39 |
+
"all_grouped": {
|
| 40 |
+
"enem_challenge": 0.22533240027991602,
|
| 41 |
+
"bluex": 0.23087621696801114,
|
| 42 |
+
"oab_exams": 0.2920273348519362,
|
| 43 |
+
"assin2_rte": 0.3333333333333333,
|
| 44 |
+
"assin2_sts": 0.1265472264440735,
|
| 45 |
+
"faquad_nli": 0.17721518987341772,
|
| 46 |
+
"hatebr_offensive": 0.5597546967409981,
|
| 47 |
+
"portuguese_hate_speech": 0.490163110698825,
|
| 48 |
+
"tweetsentbr": 0.4575265405956153
|
| 49 |
+
},
|
| 50 |
+
"all": {
|
| 51 |
+
"harness|enem_challenge|enem_challenge|None|3": 0.22533240027991602,
|
| 52 |
+
"harness|bluex|bluex|None|3": 0.23087621696801114,
|
| 53 |
+
"harness|oab_exams|oab_exams|None|3": 0.2920273348519362,
|
| 54 |
+
"harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333,
|
| 55 |
+
"harness|assin2_sts|assin2_sts|None|15": 0.1265472264440735,
|
| 56 |
+
"harness|faquad_nli|faquad_nli|None|15": 0.17721518987341772,
|
| 57 |
+
"harness|hatebr_offensive|hatebr_offensive|None|25": 0.5597546967409981,
|
| 58 |
+
"harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.490163110698825,
|
| 59 |
+
"harness|tweetsentbr|tweetsentbr|None|25": 0.4575265405956153
|
| 60 |
+
},
|
| 61 |
+
"harness|enem_challenge|enem_challenge|None|3": {
|
| 62 |
+
"acc,all": 0.22533240027991602,
|
| 63 |
+
"acc,exam_id__2016_2": 0.23577235772357724,
|
| 64 |
+
"acc,exam_id__2016": 0.2231404958677686,
|
| 65 |
+
"acc,exam_id__2015": 0.16806722689075632,
|
| 66 |
+
"acc,exam_id__2013": 0.2037037037037037,
|
| 67 |
+
"acc,exam_id__2023": 0.25925925925925924,
|
| 68 |
+
"acc,exam_id__2009": 0.23478260869565218,
|
| 69 |
+
"acc,exam_id__2012": 0.25,
|
| 70 |
+
"acc,exam_id__2022": 0.24060150375939848,
|
| 71 |
+
"acc,exam_id__2010": 0.17094017094017094,
|
| 72 |
+
"acc,exam_id__2017": 0.22413793103448276,
|
| 73 |
+
"acc,exam_id__2014": 0.23853211009174313,
|
| 74 |
+
"acc,exam_id__2011": 0.24786324786324787,
|
| 75 |
+
"main_score": 0.22533240027991602
|
| 76 |
+
},
|
| 77 |
+
"harness|bluex|bluex|None|3": {
|
| 78 |
+
"acc,all": 0.23087621696801114,
|
| 79 |
+
"acc,exam_id__UNICAMP_2022": 0.2564102564102564,
|
| 80 |
+
"acc,exam_id__UNICAMP_2023": 0.3023255813953488,
|
| 81 |
+
"acc,exam_id__USP_2021": 0.21153846153846154,
|
| 82 |
+
"acc,exam_id__UNICAMP_2024": 0.26666666666666666,
|
| 83 |
+
"acc,exam_id__USP_2024": 0.2682926829268293,
|
| 84 |
+
"acc,exam_id__UNICAMP_2021_2": 0.27450980392156865,
|
| 85 |
+
"acc,exam_id__UNICAMP_2021_1": 0.30434782608695654,
|
| 86 |
+
"acc,exam_id__UNICAMP_2019": 0.3,
|
| 87 |
+
"acc,exam_id__UNICAMP_2020": 0.16363636363636364,
|
| 88 |
+
"acc,exam_id__USP_2019": 0.15,
|
| 89 |
+
"acc,exam_id__USP_2018": 0.09259259259259259,
|
| 90 |
+
"acc,exam_id__USP_2020": 0.26785714285714285,
|
| 91 |
+
"acc,exam_id__UNICAMP_2018": 0.2777777777777778,
|
| 92 |
+
"acc,exam_id__USP_2022": 0.1836734693877551,
|
| 93 |
+
"acc,exam_id__USP_2023": 0.1590909090909091,
|
| 94 |
+
"main_score": 0.23087621696801114
|
| 95 |
+
},
|
| 96 |
+
"harness|oab_exams|oab_exams|None|3": {
|
| 97 |
+
"acc,all": 0.2920273348519362,
|
| 98 |
+
"acc,exam_id__2014-15": 0.358974358974359,
|
| 99 |
+
"acc,exam_id__2015-18": 0.275,
|
| 100 |
+
"acc,exam_id__2016-20": 0.3375,
|
| 101 |
+
"acc,exam_id__2011-05": 0.3,
|
| 102 |
+
"acc,exam_id__2013-12": 0.3,
|
| 103 |
+
"acc,exam_id__2013-11": 0.325,
|
| 104 |
+
"acc,exam_id__2017-23": 0.25,
|
| 105 |
+
"acc,exam_id__2017-22": 0.3125,
|
| 106 |
+
"acc,exam_id__2015-16": 0.2625,
|
| 107 |
+
"acc,exam_id__2017-24": 0.3,
|
| 108 |
+
"acc,exam_id__2011-04": 0.2875,
|
| 109 |
+
"acc,exam_id__2016-21": 0.35,
|
| 110 |
+
"acc,exam_id__2011-03": 0.29292929292929293,
|
| 111 |
+
"acc,exam_id__2014-14": 0.2875,
|
| 112 |
+
"acc,exam_id__2015-17": 0.2564102564102564,
|
| 113 |
+
"acc,exam_id__2012-08": 0.25,
|
| 114 |
+
"acc,exam_id__2010-02": 0.27,
|
| 115 |
+
"acc,exam_id__2012-06": 0.2875,
|
| 116 |
+
"acc,exam_id__2010-01": 0.2823529411764706,
|
| 117 |
+
"acc,exam_id__2016-19": 0.32051282051282054,
|
| 118 |
+
"acc,exam_id__2014-13": 0.3125,
|
| 119 |
+
"acc,exam_id__2012-09": 0.2857142857142857,
|
| 120 |
+
"acc,exam_id__2012-06a": 0.2625,
|
| 121 |
+
"acc,exam_id__2012-07": 0.2375,
|
| 122 |
+
"acc,exam_id__2013-10": 0.275,
|
| 123 |
+
"acc,exam_id__2016-20a": 0.2375,
|
| 124 |
+
"acc,exam_id__2018-25": 0.375,
|
| 125 |
+
"main_score": 0.2920273348519362
|
| 126 |
+
},
|
| 127 |
+
"harness|assin2_rte|assin2_rte|None|15": {
|
| 128 |
+
"f1_macro,all": 0.3333333333333333,
|
| 129 |
+
"acc,all": 0.5,
|
| 130 |
+
"main_score": 0.3333333333333333
|
| 131 |
+
},
|
| 132 |
+
"harness|assin2_sts|assin2_sts|None|15": {
|
| 133 |
+
"pearson,all": 0.1265472264440735,
|
| 134 |
+
"mse,all": 2.4658741830065356,
|
| 135 |
+
"main_score": 0.1265472264440735
|
| 136 |
+
},
|
| 137 |
+
"harness|faquad_nli|faquad_nli|None|15": {
|
| 138 |
+
"f1_macro,all": 0.17721518987341772,
|
| 139 |
+
"acc,all": 0.2153846153846154,
|
| 140 |
+
"main_score": 0.17721518987341772
|
| 141 |
+
},
|
| 142 |
+
"harness|hatebr_offensive|hatebr_offensive|None|25": {
|
| 143 |
+
"f1_macro,all": 0.5597546967409981,
|
| 144 |
+
"acc,all": 0.6214285714285714,
|
| 145 |
+
"main_score": 0.5597546967409981
|
| 146 |
+
},
|
| 147 |
+
"harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
|
| 148 |
+
"f1_macro,all": 0.490163110698825,
|
| 149 |
+
"acc,all": 0.7085781433607521,
|
| 150 |
+
"main_score": 0.490163110698825
|
| 151 |
+
},
|
| 152 |
+
"harness|tweetsentbr|tweetsentbr|None|25": {
|
| 153 |
+
"f1_macro,all": 0.4575265405956153,
|
| 154 |
+
"acc,all": 0.56318407960199,
|
| 155 |
+
"main_score": 0.4575265405956153
|
| 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": 2,
|
| 185 |
+
"non_truncated": 1427,
|
| 186 |
+
"padded": 0,
|
| 187 |
+
"non_padded": 1429,
|
| 188 |
+
"fewshots_truncated": 2,
|
| 189 |
+
"mean_seq_length": 1176.6193142057382,
|
| 190 |
+
"min_seq_length": 991,
|
| 191 |
+
"max_seq_length": 2231,
|
| 192 |
+
"max_ctx_length": 2016,
|
| 193 |
+
"max_gen_toks": 32,
|
| 194 |
+
"mean_original_fewshots_size": 3.0,
|
| 195 |
+
"mean_effective_fewshot_size": 2.998600419874038
|
| 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": 1339.029207232267,
|
| 205 |
+
"min_seq_length": 1047,
|
| 206 |
+
"max_seq_length": 1948,
|
| 207 |
+
"max_ctx_length": 2016,
|
| 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": 974.5047835990888,
|
| 220 |
+
"min_seq_length": 785,
|
| 221 |
+
"max_seq_length": 1327,
|
| 222 |
+
"max_ctx_length": 2016,
|
| 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": 1082.8459967320262,
|
| 235 |
+
"min_seq_length": 1066,
|
| 236 |
+
"max_seq_length": 1134,
|
| 237 |
+
"max_ctx_length": 2016,
|
| 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": 1107.8459967320262,
|
| 250 |
+
"min_seq_length": 1091,
|
| 251 |
+
"max_seq_length": 1159,
|
| 252 |
+
"max_ctx_length": 2016,
|
| 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": 1155.2415384615385,
|
| 265 |
+
"min_seq_length": 1118,
|
| 266 |
+
"max_seq_length": 1232,
|
| 267 |
+
"max_ctx_length": 2016,
|
| 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": 1091.5071428571428,
|
| 280 |
+
"min_seq_length": 1071,
|
| 281 |
+
"max_seq_length": 1301,
|
| 282 |
+
"max_ctx_length": 2016,
|
| 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": 1415.5381903642774,
|
| 295 |
+
"min_seq_length": 1386,
|
| 296 |
+
"max_seq_length": 1462,
|
| 297 |
+
"max_ctx_length": 2016,
|
| 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": 1333.926368159204,
|
| 310 |
+
"min_seq_length": 1315,
|
| 311 |
+
"max_seq_length": 1451,
|
| 312 |
+
"max_ctx_length": 2016,
|
| 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": 2,
|
| 320 |
+
"non_truncated": 14148,
|
| 321 |
+
"padded": 0,
|
| 322 |
+
"non_padded": 14150,
|
| 323 |
+
"fewshots_truncated": 2
|
| 324 |
+
}
|
| 325 |
+
}
|