sharoz/codebert-python-custom-functions-dataset-python
128
1---2tags:3- generated_from_trainer4model-index:5- name: codebert-python-custom-functions-dataset-python6 results: []7---8 9<!-- This model card has been generated automatically according to the information the Trainer had access to. You10should probably proofread and complete it, then remove this comment. -->11 12# codebert-python-custom-functions-dataset-python13 14This model is a fine-tuned version of [neulab/codebert-python](https://huggingface.co/neulab/codebert-python) on the None dataset.15It achieves the following results on the evaluation set:16- Loss: 0.012217 18## Model description19 20More information needed21 22## Intended uses & limitations23 24More information needed25 26## Training and evaluation data27 28More information needed29 30## Training procedure31 32### Training hyperparameters33 34The following hyperparameters were used during training:35- learning_rate: 2e-0536- train_batch_size: 837- eval_batch_size: 838- seed: 4239- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0840- lr_scheduler_type: linear41- num_epochs: 1042 43### Training results44 45| Training Loss | Epoch | Step | Validation Loss |46|:-------------:|:-----:|:----:|:---------------:|47| 17.6391 | 0.02 | 1 | 18.8468 |48| 17.4624 | 0.05 | 2 | 16.8714 |49| 16.0325 | 0.07 | 3 | 14.7237 |50| 13.9159 | 0.09 | 4 | 12.3306 |51| 10.0481 | 0.12 | 5 | 9.8566 |52| 9.809 | 0.14 | 6 | 7.6512 |53| 7.2165 | 0.16 | 7 | 6.0915 |54| 5.712 | 0.19 | 8 | 5.3033 |55| 5.4211 | 0.21 | 9 | 5.0586 |56| 4.8932 | 0.23 | 10 | 5.0131 |57| 5.066 | 0.26 | 11 | 4.9536 |58| 4.9451 | 0.28 | 12 | 4.8411 |59| 5.0093 | 0.3 | 13 | 4.6795 |60| 4.6068 | 0.33 | 14 | 4.4849 |61| 4.3224 | 0.35 | 15 | 4.2770 |62| 3.9837 | 0.37 | 16 | 4.0797 |63| 4.1976 | 0.4 | 17 | 3.9111 |64| 4.128 | 0.42 | 18 | 3.7831 |65| 3.9352 | 0.44 | 19 | 3.6859 |66| 4.0264 | 0.47 | 20 | 3.6056 |67| 3.8478 | 0.49 | 21 | 3.5358 |68| 3.6362 | 0.51 | 22 | 3.4453 |69| 3.3028 | 0.53 | 23 | 3.3264 |70| 3.1371 | 0.56 | 24 | 3.2070 |71| 3.3148 | 0.58 | 25 | 3.0813 |72| 3.2673 | 0.6 | 26 | 2.9608 |73| 3.0928 | 0.63 | 27 | 2.8464 |74| 2.8426 | 0.65 | 28 | 2.7360 |75| 2.719 | 0.67 | 29 | 2.6269 |76| 2.9311 | 0.7 | 30 | 2.5197 |77| 2.7809 | 0.72 | 31 | 2.4133 |78| 2.5529 | 0.74 | 32 | 2.3118 |79| 2.3033 | 0.77 | 33 | 2.2164 |80| 2.3882 | 0.79 | 34 | 2.1272 |81| 2.4683 | 0.81 | 35 | 2.0446 |82| 2.4469 | 0.84 | 36 | 1.9679 |83| 2.2185 | 0.86 | 37 | 1.8938 |84| 2.2096 | 0.88 | 38 | 1.8196 |85| 2.2544 | 0.91 | 39 | 1.7513 |86| 1.9036 | 0.93 | 40 | 1.6817 |87| 1.983 | 0.95 | 41 | 1.6117 |88| 1.6973 | 0.98 | 42 | 1.5473 |89| 1.7622 | 1.0 | 43 | 1.4910 |90| 1.8068 | 1.02 | 44 | 1.4393 |91| 1.6332 | 1.05 | 45 | 1.3937 |92| 1.5962 | 1.07 | 46 | 1.3504 |93| 1.5566 | 1.09 | 47 | 1.3093 |94| 1.467 | 1.12 | 48 | 1.2705 |95| 1.5833 | 1.14 | 49 | 1.2302 |96| 1.462 | 1.16 | 50 | 1.1902 |97| 1.6844 | 1.19 | 51 | 1.1489 |98| 1.4811 | 1.21 | 52 | 1.1072 |99| 1.132 | 1.23 | 53 | 1.0670 |100| 1.3929 | 1.26 | 54 | 1.0320 |101| 1.3733 | 1.28 | 55 | 1.0005 |102| 1.3173 | 1.3 | 56 | 0.9679 |103| 0.9966 | 1.33 | 57 | 0.9359 |104| 1.3424 | 1.35 | 58 | 0.9031 |105| 1.0773 | 1.37 | 59 | 0.8694 |106| 1.0527 | 1.4 | 60 | 0.8364 |107| 1.139 | 1.42 | 61 | 0.8032 |108| 1.1167 | 1.44 | 62 | 0.7734 |109| 0.7685 | 1.47 | 63 | 0.7460 |110| 1.011 | 1.49 | 64 | 0.7211 |111| 0.9925 | 1.51 | 65 | 0.6949 |112| 1.1036 | 1.53 | 66 | 0.6706 |113| 0.9265 | 1.56 | 67 | 0.6462 |114| 0.8027 | 1.58 | 68 | 0.6212 |115| 0.8847 | 1.6 | 69 | 0.5986 |116| 0.8378 | 1.63 | 70 | 0.5767 |117| 0.9169 | 1.65 | 71 | 0.5578 |118| 0.937 | 1.67 | 72 | 0.5385 |119| 0.9755 | 1.7 | 73 | 0.5213 |120| 0.8666 | 1.72 | 74 | 0.5065 |121| 0.7972 | 1.74 | 75 | 0.4924 |122| 0.8839 | 1.77 | 76 | 0.4777 |123| 0.6774 | 1.79 | 77 | 0.4632 |124| 0.7032 | 1.81 | 78 | 0.4484 |125| 0.595 | 1.84 | 79 | 0.4343 |126| 0.733 | 1.86 | 80 | 0.4218 |127| 0.7852 | 1.88 | 81 | 0.4105 |128| 0.649 | 1.91 | 82 | 0.3998 |129| 0.729 | 1.93 | 83 | 0.3904 |130| 0.7798 | 1.95 | 84 | 0.3828 |131| 0.612 | 1.98 | 85 | 0.3756 |132| 0.7662 | 2.0 | 86 | 0.3690 |133| 0.5521 | 2.02 | 87 | 0.3612 |134| 0.5335 | 2.05 | 88 | 0.3528 |135| 0.603 | 2.07 | 89 | 0.3428 |136| 0.5893 | 2.09 | 90 | 0.3328 |137| 0.6001 | 2.12 | 91 | 0.3214 |138| 0.4813 | 2.14 | 92 | 0.3091 |139| 0.5835 | 2.16 | 93 | 0.2986 |140| 0.4238 | 2.19 | 94 | 0.2899 |141| 0.517 | 2.21 | 95 | 0.2826 |142| 0.3389 | 2.23 | 96 | 0.2771 |143| 0.5621 | 2.26 | 97 | 0.2719 |144| 0.5298 | 2.28 | 98 | 0.2676 |145| 0.5001 | 2.3 | 99 | 0.2636 |146| 0.6028 | 2.33 | 100 | 0.2598 |147| 0.4834 | 2.35 | 101 | 0.2560 |148| 0.3828 | 2.37 | 102 | 0.2513 |149| 0.3283 | 2.4 | 103 | 0.2453 |150| 0.362 | 2.42 | 104 | 0.2379 |151| 0.3924 | 2.44 | 105 | 0.2312 |152| 0.5881 | 2.47 | 106 | 0.2254 |153| 0.4036 | 2.49 | 107 | 0.2190 |154| 0.3797 | 2.51 | 108 | 0.2131 |155| 0.4023 | 2.53 | 109 | 0.2076 |156| 0.3779 | 2.56 | 110 | 0.2024 |157| 0.5212 | 2.58 | 111 | 0.1968 |158| 0.3527 | 2.6 | 112 | 0.1913 |159| 0.4868 | 2.63 | 113 | 0.1858 |160| 0.3335 | 2.65 | 114 | 0.1804 |161| 0.3045 | 2.67 | 115 | 0.1759 |162| 0.3618 | 2.7 | 116 | 0.1718 |163| 0.304 | 2.72 | 117 | 0.1682 |164| 0.3166 | 2.74 | 118 | 0.1647 |165| 0.3969 | 2.77 | 119 | 0.1615 |166| 0.2572 | 2.79 | 120 | 0.1594 |167| 0.3467 | 2.81 | 121 | 0.1569 |168| 0.3321 | 2.84 | 122 | 0.1546 |169| 0.33 | 2.86 | 123 | 0.1512 |170| 0.2282 | 2.88 | 124 | 0.1477 |171| 0.2623 | 2.91 | 125 | 0.1437 |172| 0.4284 | 2.93 | 126 | 0.1400 |173| 0.3089 | 2.95 | 127 | 0.1367 |174| 0.3058 | 2.98 | 128 | 0.1333 |175| 0.1779 | 3.0 | 129 | 0.1302 |176| 0.2915 | 3.02 | 130 | 0.1271 |177| 0.2477 | 3.05 | 131 | 0.1240 |178| 0.2636 | 3.07 | 132 | 0.1209 |179| 0.2607 | 3.09 | 133 | 0.1181 |180| 0.2009 | 3.12 | 134 | 0.1158 |181| 0.3641 | 3.14 | 135 | 0.1140 |182| 0.2024 | 3.16 | 136 | 0.1127 |183| 0.232 | 3.19 | 137 | 0.1112 |184| 0.3783 | 3.21 | 138 | 0.1096 |185| 0.2223 | 3.23 | 139 | 0.1083 |186| 0.1471 | 3.26 | 140 | 0.1071 |187| 0.2082 | 3.28 | 141 | 0.1057 |188| 0.1142 | 3.3 | 142 | 0.1047 |189| 0.1785 | 3.33 | 143 | 0.1032 |190| 0.1935 | 3.35 | 144 | 0.1013 |191| 0.2114 | 3.37 | 145 | 0.0994 |192| 0.1827 | 3.4 | 146 | 0.0977 |193| 0.2312 | 3.42 | 147 | 0.0960 |194| 0.2209 | 3.44 | 148 | 0.0943 |195| 0.4012 | 3.47 | 149 | 0.0930 |196| 0.2126 | 3.49 | 150 | 0.0914 |197| 0.1883 | 3.51 | 151 | 0.0897 |198| 0.2101 | 3.53 | 152 | 0.0883 |199| 0.2442 | 3.56 | 153 | 0.0868 |200| 0.1923 | 3.58 | 154 | 0.0852 |201| 0.2541 | 3.6 | 155 | 0.0838 |202| 0.2062 | 3.63 | 156 | 0.0823 |203| 0.2114 | 3.65 | 157 | 0.0807 |204| 0.1809 | 3.67 | 158 | 0.0792 |205| 0.2083 | 3.7 | 159 | 0.0777 |206| 0.2163 | 3.72 | 160 | 0.0764 |207| 0.1913 | 3.74 | 161 | 0.0753 |208| 0.2633 | 3.77 | 162 | 0.0744 |209| 0.3123 | 3.79 | 163 | 0.0736 |210| 0.1271 | 3.81 | 164 | 0.0729 |211| 0.2404 | 3.84 | 165 | 0.0722 |212| 0.1316 | 3.86 | 166 | 0.0714 |213| 0.2107 | 3.88 | 167 | 0.0710 |214| 0.2088 | 3.91 | 168 | 0.0703 |215| 0.1813 | 3.93 | 169 | 0.0697 |216| 0.2049 | 3.95 | 170 | 0.0690 |217| 0.2178 | 3.98 | 171 | 0.0685 |218| 0.3137 | 4.0 | 172 | 0.0677 |219| 0.1661 | 4.02 | 173 | 0.0668 |220| 0.0944 | 4.05 | 174 | 0.0658 |221| 0.2131 | 4.07 | 175 | 0.0649 |222| 0.1349 | 4.09 | 176 | 0.0638 |223| 0.2231 | 4.12 | 177 | 0.0627 |224| 0.2046 | 4.14 | 178 | 0.0618 |225| 0.1806 | 4.16 | 179 | 0.0609 |226| 0.1463 | 4.19 | 180 | 0.0601 |227| 0.1696 | 4.21 | 181 | 0.0593 |228| 0.1271 | 4.23 | 182 | 0.0584 |229| 0.132 | 4.26 | 183 | 0.0575 |230| 0.1295 | 4.28 | 184 | 0.0566 |231| 0.182 | 4.3 | 185 | 0.0557 |232| 0.1896 | 4.33 | 186 | 0.0548 |233| 0.1694 | 4.35 | 187 | 0.0540 |234| 0.2121 | 4.37 | 188 | 0.0534 |235| 0.1299 | 4.4 | 189 | 0.0530 |236| 0.1471 | 4.42 | 190 | 0.0523 |237| 0.0996 | 4.44 | 191 | 0.0518 |238| 0.2355 | 4.47 | 192 | 0.0514 |239| 0.1295 | 4.49 | 193 | 0.0511 |240| 0.1528 | 4.51 | 194 | 0.0508 |241| 0.1407 | 4.53 | 195 | 0.0506 |242| 0.1246 | 4.56 | 196 | 0.0502 |243| 0.1635 | 4.58 | 197 | 0.0497 |244| 0.1935 | 4.6 | 198 | 0.0492 |245| 0.1354 | 4.63 | 199 | 0.0485 |246| 0.1051 | 4.65 | 200 | 0.0477 |247| 0.0837 | 4.67 | 201 | 0.0468 |248| 0.1822 | 4.7 | 202 | 0.0459 |249| 0.127 | 4.72 | 203 | 0.0450 |250| 0.1133 | 4.74 | 204 | 0.0443 |251| 0.1641 | 4.77 | 205 | 0.0435 |252| 0.1318 | 4.79 | 206 | 0.0428 |253| 0.1544 | 4.81 | 207 | 0.0421 |254| 0.1003 | 4.84 | 208 | 0.0413 |255| 0.1205 | 4.86 | 209 | 0.0406 |256| 0.1348 | 4.88 | 210 | 0.0399 |257| 0.0895 | 4.91 | 211 | 0.0393 |258| 0.095 | 4.93 | 212 | 0.0388 |259| 0.138 | 4.95 | 213 | 0.0383 |260| 0.117 | 4.98 | 214 | 0.0378 |261| 0.0997 | 5.0 | 215 | 0.0374 |262| 0.0989 | 5.02 | 216 | 0.0372 |263| 0.0973 | 5.05 | 217 | 0.0370 |264| 0.0848 | 5.07 | 218 | 0.0370 |265| 0.1232 | 5.09 | 219 | 0.0370 |266| 0.1271 | 5.12 | 220 | 0.0370 |267| 0.1636 | 5.14 | 221 | 0.0369 |268| 0.0893 | 5.16 | 222 | 0.0367 |269| 0.125 | 5.19 | 223 | 0.0364 |270| 0.1305 | 5.21 | 224 | 0.0360 |271| 0.091 | 5.23 | 225 | 0.0356 |272| 0.1198 | 5.26 | 226 | 0.0352 |273| 0.074 | 5.28 | 227 | 0.0346 |274| 0.1208 | 5.3 | 228 | 0.0340 |275| 0.1737 | 5.33 | 229 | 0.0334 |276| 0.1277 | 5.35 | 230 | 0.0326 |277| 0.0811 | 5.37 | 231 | 0.0317 |278| 0.0726 | 5.4 | 232 | 0.0310 |279| 0.0803 | 5.42 | 233 | 0.0304 |280| 0.0793 | 5.44 | 234 | 0.0299 |281| 0.0595 | 5.47 | 235 | 0.0296 |282| 0.0915 | 5.49 | 236 | 0.0293 |283| 0.1049 | 5.51 | 237 | 0.0291 |284| 0.1088 | 5.53 | 238 | 0.0289 |285| 0.1269 | 5.56 | 239 | 0.0287 |286| 0.0589 | 5.58 | 240 | 0.0286 |287| 0.1118 | 5.6 | 241 | 0.0285 |288| 0.0834 | 5.63 | 242 | 0.0283 |289| 0.1003 | 5.65 | 243 | 0.0280 |290| 0.0704 | 5.67 | 244 | 0.0278 |291| 0.0892 | 5.7 | 245 | 0.0275 |292| 0.1004 | 5.72 | 246 | 0.0273 |293| 0.119 | 5.74 | 247 | 0.0272 |294| 0.1096 | 5.77 | 248 | 0.0270 |295| 0.1554 | 5.79 | 249 | 0.0269 |296| 0.0903 | 5.81 | 250 | 0.0267 |297| 0.0829 | 5.84 | 251 | 0.0266 |298| 0.1561 | 5.86 | 252 | 0.0265 |299| 0.0707 | 5.88 | 253 | 0.0264 |300| 0.1329 | 5.91 | 254 | 0.0262 |301| 0.104 | 5.93 | 255 | 0.0256 |302| 0.0873 | 5.95 | 256 | 0.0250 |303| 0.0954 | 5.98 | 257 | 0.0245 |304| 0.1387 | 6.0 | 258 | 0.0239 |305| 0.094 | 6.02 | 259 | 0.0234 |306| 0.0989 | 6.05 | 260 | 0.0231 |307| 0.1187 | 6.07 | 261 | 0.0228 |308| 0.1052 | 6.09 | 262 | 0.0226 |309| 0.0981 | 6.12 | 263 | 0.0225 |310| 0.0529 | 6.14 | 264 | 0.0225 |311| 0.0757 | 6.16 | 265 | 0.0225 |312| 0.0742 | 6.19 | 266 | 0.0224 |313| 0.0532 | 6.21 | 267 | 0.0223 |314| 0.0487 | 6.23 | 268 | 0.0223 |315| 0.0899 | 6.26 | 269 | 0.0222 |316| 0.0479 | 6.28 | 270 | 0.0222 |317| 0.1019 | 6.3 | 271 | 0.0221 |318| 0.0422 | 6.33 | 272 | 0.0218 |319| 0.0581 | 6.35 | 273 | 0.0216 |320| 0.0725 | 6.37 | 274 | 0.0214 |321| 0.0703 | 6.4 | 275 | 0.0211 |322| 0.0943 | 6.42 | 276 | 0.0209 |323| 0.0732 | 6.44 | 277 | 0.0207 |324| 0.072 | 6.47 | 278 | 0.0204 |325| 0.064 | 6.49 | 279 | 0.0201 |326| 0.0433 | 6.51 | 280 | 0.0199 |327| 0.0705 | 6.53 | 281 | 0.0197 |328| 0.0928 | 6.56 | 282 | 0.0195 |329| 0.067 | 6.58 | 283 | 0.0194 |330| 0.0527 | 6.6 | 284 | 0.0192 |331| 0.0771 | 6.63 | 285 | 0.0190 |332| 0.0934 | 6.65 | 286 | 0.0189 |333| 0.0687 | 6.67 | 287 | 0.0188 |334| 0.0915 | 6.7 | 288 | 0.0186 |335| 0.0729 | 6.72 | 289 | 0.0186 |336| 0.0966 | 6.74 | 290 | 0.0185 |337| 0.1624 | 6.77 | 291 | 0.0184 |338| 0.0735 | 6.79 | 292 | 0.0183 |339| 0.0664 | 6.81 | 293 | 0.0183 |340| 0.0718 | 6.84 | 294 | 0.0181 |341| 0.0455 | 6.86 | 295 | 0.0179 |342| 0.1095 | 6.88 | 296 | 0.0177 |343| 0.062 | 6.91 | 297 | 0.0176 |344| 0.0753 | 6.93 | 298 | 0.0174 |345| 0.0967 | 6.95 | 299 | 0.0172 |346| 0.0988 | 6.98 | 300 | 0.0171 |347| 0.0919 | 7.0 | 301 | 0.0169 |348| 0.0554 | 7.02 | 302 | 0.0167 |349| 0.0858 | 7.05 | 303 | 0.0166 |350| 0.092 | 7.07 | 304 | 0.0165 |351| 0.0299 | 7.09 | 305 | 0.0164 |352| 0.0933 | 7.12 | 306 | 0.0163 |353| 0.0764 | 7.14 | 307 | 0.0162 |354| 0.0657 | 7.16 | 308 | 0.0161 |355| 0.0563 | 7.19 | 309 | 0.0159 |356| 0.0893 | 7.21 | 310 | 0.0158 |357| 0.0988 | 7.23 | 311 | 0.0157 |358| 0.0574 | 7.26 | 312 | 0.0156 |359| 0.1329 | 7.28 | 313 | 0.0155 |360| 0.0853 | 7.3 | 314 | 0.0153 |361| 0.0585 | 7.33 | 315 | 0.0152 |362| 0.0747 | 7.35 | 316 | 0.0151 |363| 0.0494 | 7.37 | 317 | 0.0150 |364| 0.0368 | 7.4 | 318 | 0.0149 |365| 0.0907 | 7.42 | 319 | 0.0149 |366| 0.0698 | 7.44 | 320 | 0.0148 |367| 0.0571 | 7.47 | 321 | 0.0148 |368| 0.0456 | 7.49 | 322 | 0.0147 |369| 0.0492 | 7.51 | 323 | 0.0147 |370| 0.0686 | 7.53 | 324 | 0.0146 |371| 0.067 | 7.56 | 325 | 0.0145 |372| 0.0548 | 7.58 | 326 | 0.0144 |373| 0.0415 | 7.6 | 327 | 0.0143 |374| 0.0816 | 7.63 | 328 | 0.0143 |375| 0.0529 | 7.65 | 329 | 0.0142 |376| 0.0818 | 7.67 | 330 | 0.0142 |377| 0.0594 | 7.7 | 331 | 0.0142 |378| 0.0387 | 7.72 | 332 | 0.0141 |379| 0.0561 | 7.74 | 333 | 0.0141 |380| 0.0875 | 7.77 | 334 | 0.0140 |381| 0.0534 | 7.79 | 335 | 0.0140 |382| 0.052 | 7.81 | 336 | 0.0140 |383| 0.0894 | 7.84 | 337 | 0.0140 |384| 0.0384 | 7.86 | 338 | 0.0139 |385| 0.0353 | 7.88 | 339 | 0.0139 |386| 0.0843 | 7.91 | 340 | 0.0138 |387| 0.059 | 7.93 | 341 | 0.0138 |388| 0.0538 | 7.95 | 342 | 0.0138 |389| 0.0637 | 7.98 | 343 | 0.0137 |390| 0.0492 | 8.0 | 344 | 0.0137 |391| 0.0424 | 8.02 | 345 | 0.0137 |392| 0.0416 | 8.05 | 346 | 0.0136 |393| 0.0608 | 8.07 | 347 | 0.0135 |394| 0.0158 | 8.09 | 348 | 0.0135 |395| 0.0551 | 8.12 | 349 | 0.0134 |396| 0.0954 | 8.14 | 350 | 0.0134 |397| 0.0327 | 8.16 | 351 | 0.0133 |398| 0.0329 | 8.19 | 352 | 0.0133 |399| 0.0604 | 8.21 | 353 | 0.0133 |400| 0.0565 | 8.23 | 354 | 0.0133 |401| 0.0677 | 8.26 | 355 | 0.0133 |402| 0.0483 | 8.28 | 356 | 0.0133 |403| 0.0576 | 8.3 | 357 | 0.0133 |404| 0.0515 | 8.33 | 358 | 0.0132 |405| 0.0381 | 8.35 | 359 | 0.0132 |406| 0.0436 | 8.37 | 360 | 0.0132 |407| 0.0695 | 8.4 | 361 | 0.0132 |408| 0.0564 | 8.42 | 362 | 0.0132 |409| 0.0784 | 8.44 | 363 | 0.0132 |410| 0.0582 | 8.47 | 364 | 0.0132 |411| 0.0476 | 8.49 | 365 | 0.0132 |412| 0.1157 | 8.51 | 366 | 0.0131 |413| 0.0603 | 8.53 | 367 | 0.0131 |414| 0.05 | 8.56 | 368 | 0.0131 |415| 0.0428 | 8.58 | 369 | 0.0130 |416| 0.0283 | 8.6 | 370 | 0.0130 |417| 0.0726 | 8.63 | 371 | 0.0129 |418| 0.0681 | 8.65 | 372 | 0.0129 |419| 0.0753 | 8.67 | 373 | 0.0128 |420| 0.0813 | 8.7 | 374 | 0.0127 |421| 0.0592 | 8.72 | 375 | 0.0127 |422| 0.0602 | 8.74 | 376 | 0.0127 |423| 0.0552 | 8.77 | 377 | 0.0127 |424| 0.0547 | 8.79 | 378 | 0.0126 |425| 0.0777 | 8.81 | 379 | 0.0126 |426| 0.0719 | 8.84 | 380 | 0.0126 |427| 0.0641 | 8.86 | 381 | 0.0125 |428| 0.0326 | 8.88 | 382 | 0.0125 |429| 0.0431 | 8.91 | 383 | 0.0125 |430| 0.0813 | 8.93 | 384 | 0.0125 |431| 0.077 | 8.95 | 385 | 0.0125 |432| 0.1018 | 8.98 | 386 | 0.0125 |433| 0.0619 | 9.0 | 387 | 0.0125 |434| 0.0525 | 9.02 | 388 | 0.0125 |435| 0.0501 | 9.05 | 389 | 0.0125 |436| 0.057 | 9.07 | 390 | 0.0125 |437| 0.069 | 9.09 | 391 | 0.0125 |438| 0.0258 | 9.12 | 392 | 0.0125 |439| 0.0639 | 9.14 | 393 | 0.0125 |440| 0.0696 | 9.16 | 394 | 0.0125 |441| 0.0407 | 9.19 | 395 | 0.0125 |442| 0.0465 | 9.21 | 396 | 0.0124 |443| 0.084 | 9.23 | 397 | 0.0124 |444| 0.0483 | 9.26 | 398 | 0.0124 |445| 0.1181 | 9.28 | 399 | 0.0124 |446| 0.0383 | 9.3 | 400 | 0.0124 |447| 0.0574 | 9.33 | 401 | 0.0124 |448| 0.0475 | 9.35 | 402 | 0.0124 |449| 0.0549 | 9.37 | 403 | 0.0124 |450| 0.0594 | 9.4 | 404 | 0.0124 |451| 0.0428 | 9.42 | 405 | 0.0124 |452| 0.0825 | 9.44 | 406 | 0.0124 |453| 0.0617 | 9.47 | 407 | 0.0124 |454| 0.0584 | 9.49 | 408 | 0.0124 |455| 0.0579 | 9.51 | 409 | 0.0124 |456| 0.0521 | 9.53 | 410 | 0.0124 |457| 0.0703 | 9.56 | 411 | 0.0124 |458| 0.0279 | 9.58 | 412 | 0.0123 |459| 0.0469 | 9.6 | 413 | 0.0123 |460| 0.0492 | 9.63 | 414 | 0.0123 |461| 0.0308 | 9.65 | 415 | 0.0123 |462| 0.0342 | 9.67 | 416 | 0.0123 |463| 0.0486 | 9.7 | 417 | 0.0123 |464| 0.0284 | 9.72 | 418 | 0.0123 |465| 0.0325 | 9.74 | 419 | 0.0123 |466| 0.043 | 9.77 | 420 | 0.0123 |467| 0.0602 | 9.79 | 421 | 0.0123 |468| 0.0349 | 9.81 | 422 | 0.0122 |469| 0.0569 | 9.84 | 423 | 0.0122 |470| 0.0513 | 9.86 | 424 | 0.0122 |471| 0.0455 | 9.88 | 425 | 0.0122 |472| 0.0936 | 9.91 | 426 | 0.0122 |473| 0.0484 | 9.93 | 427 | 0.0122 |474| 0.0556 | 9.95 | 428 | 0.0122 |475| 0.0352 | 9.98 | 429 | 0.0122 |476| 0.0594 | 10.0 | 430 | 0.0122 |477 478 479### Framework versions480 481- Transformers 4.28.1482- Pytorch 2.0.0+cu118483- Datasets 2.12.0484- Tokenizers 0.13.3485