ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k6_task1_organization
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8484
- Qwk: 0.6230
- Mse: 0.8484
- Rmse: 0.9211
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
---|---|---|---|---|---|---|
No log | 0.0625 | 2 | 5.5693 | -0.0574 | 5.5693 | 2.3599 |
No log | 0.125 | 4 | 3.1522 | 0.0589 | 3.1522 | 1.7754 |
No log | 0.1875 | 6 | 2.0267 | 0.0392 | 2.0267 | 1.4236 |
No log | 0.25 | 8 | 1.7690 | 0.0731 | 1.7690 | 1.3301 |
No log | 0.3125 | 10 | 1.9208 | -0.0056 | 1.9208 | 1.3859 |
No log | 0.375 | 12 | 1.4947 | 0.0212 | 1.4947 | 1.2226 |
No log | 0.4375 | 14 | 1.2500 | 0.1336 | 1.2500 | 1.1181 |
No log | 0.5 | 16 | 1.2345 | 0.1534 | 1.2345 | 1.1111 |
No log | 0.5625 | 18 | 1.2575 | 0.1190 | 1.2575 | 1.1214 |
No log | 0.625 | 20 | 1.2375 | 0.1679 | 1.2375 | 1.1124 |
No log | 0.6875 | 22 | 1.1810 | 0.1322 | 1.1810 | 1.0867 |
No log | 0.75 | 24 | 1.1789 | 0.1410 | 1.1789 | 1.0858 |
No log | 0.8125 | 26 | 1.2999 | 0.1622 | 1.2999 | 1.1401 |
No log | 0.875 | 28 | 1.3099 | 0.1690 | 1.3099 | 1.1445 |
No log | 0.9375 | 30 | 1.3816 | 0.0593 | 1.3816 | 1.1754 |
No log | 1.0 | 32 | 1.3504 | 0.0994 | 1.3504 | 1.1621 |
No log | 1.0625 | 34 | 1.3179 | 0.1525 | 1.3179 | 1.1480 |
No log | 1.125 | 36 | 1.2825 | 0.1692 | 1.2825 | 1.1325 |
No log | 1.1875 | 38 | 1.2055 | 0.3212 | 1.2055 | 1.0979 |
No log | 1.25 | 40 | 1.1277 | 0.2866 | 1.1277 | 1.0619 |
No log | 1.3125 | 42 | 1.0920 | 0.2856 | 1.0920 | 1.0450 |
No log | 1.375 | 44 | 1.1180 | 0.3347 | 1.1180 | 1.0573 |
No log | 1.4375 | 46 | 1.1308 | 0.3266 | 1.1308 | 1.0634 |
No log | 1.5 | 48 | 1.1557 | 0.2784 | 1.1557 | 1.0750 |
No log | 1.5625 | 50 | 1.2161 | 0.3312 | 1.2161 | 1.1028 |
No log | 1.625 | 52 | 1.2636 | 0.2848 | 1.2636 | 1.1241 |
No log | 1.6875 | 54 | 1.1928 | 0.3670 | 1.1928 | 1.0921 |
No log | 1.75 | 56 | 1.1257 | 0.3615 | 1.1257 | 1.0610 |
No log | 1.8125 | 58 | 1.1075 | 0.3355 | 1.1075 | 1.0524 |
No log | 1.875 | 60 | 1.0643 | 0.3132 | 1.0643 | 1.0317 |
No log | 1.9375 | 62 | 1.0532 | 0.2939 | 1.0532 | 1.0262 |
No log | 2.0 | 64 | 1.0834 | 0.2606 | 1.0834 | 1.0409 |
No log | 2.0625 | 66 | 1.0776 | 0.3334 | 1.0776 | 1.0381 |
No log | 2.125 | 68 | 1.1740 | 0.3007 | 1.1740 | 1.0835 |
No log | 2.1875 | 70 | 1.5527 | 0.1613 | 1.5527 | 1.2461 |
No log | 2.25 | 72 | 1.7535 | 0.1329 | 1.7535 | 1.3242 |
No log | 2.3125 | 74 | 1.5904 | 0.1703 | 1.5904 | 1.2611 |
No log | 2.375 | 76 | 1.6078 | 0.1703 | 1.6078 | 1.2680 |
No log | 2.4375 | 78 | 1.2504 | 0.3112 | 1.2504 | 1.1182 |
No log | 2.5 | 80 | 1.0210 | 0.3108 | 1.0210 | 1.0105 |
No log | 2.5625 | 82 | 1.0137 | 0.2991 | 1.0137 | 1.0068 |
No log | 2.625 | 84 | 1.0546 | 0.2079 | 1.0546 | 1.0269 |
No log | 2.6875 | 86 | 1.1540 | 0.2883 | 1.1540 | 1.0742 |
No log | 2.75 | 88 | 1.1893 | 0.2953 | 1.1893 | 1.0905 |
No log | 2.8125 | 90 | 1.1320 | 0.3011 | 1.1320 | 1.0639 |
No log | 2.875 | 92 | 1.0345 | 0.3753 | 1.0345 | 1.0171 |
No log | 2.9375 | 94 | 1.0399 | 0.4591 | 1.0399 | 1.0197 |
No log | 3.0 | 96 | 1.0364 | 0.4937 | 1.0364 | 1.0180 |
No log | 3.0625 | 98 | 0.9659 | 0.5454 | 0.9659 | 0.9828 |
No log | 3.125 | 100 | 0.9923 | 0.5140 | 0.9923 | 0.9961 |
No log | 3.1875 | 102 | 1.0857 | 0.3863 | 1.0857 | 1.0420 |
No log | 3.25 | 104 | 1.1231 | 0.3539 | 1.1231 | 1.0598 |
No log | 3.3125 | 106 | 1.1679 | 0.2094 | 1.1679 | 1.0807 |
No log | 3.375 | 108 | 1.1276 | 0.2970 | 1.1276 | 1.0619 |
No log | 3.4375 | 110 | 1.0032 | 0.3654 | 1.0032 | 1.0016 |
No log | 3.5 | 112 | 0.8871 | 0.5386 | 0.8871 | 0.9419 |
No log | 3.5625 | 114 | 0.8270 | 0.6296 | 0.8270 | 0.9094 |
No log | 3.625 | 116 | 0.8159 | 0.5504 | 0.8159 | 0.9033 |
No log | 3.6875 | 118 | 0.8776 | 0.5664 | 0.8776 | 0.9368 |
No log | 3.75 | 120 | 1.1822 | 0.4443 | 1.1822 | 1.0873 |
No log | 3.8125 | 122 | 1.2879 | 0.4171 | 1.2879 | 1.1349 |
No log | 3.875 | 124 | 1.1442 | 0.4550 | 1.1442 | 1.0697 |
No log | 3.9375 | 126 | 1.1873 | 0.4351 | 1.1873 | 1.0896 |
No log | 4.0 | 128 | 1.4428 | 0.4152 | 1.4428 | 1.2012 |
No log | 4.0625 | 130 | 1.7703 | 0.3909 | 1.7703 | 1.3305 |
No log | 4.125 | 132 | 1.6316 | 0.4182 | 1.6316 | 1.2773 |
No log | 4.1875 | 134 | 1.5729 | 0.4618 | 1.5729 | 1.2542 |
No log | 4.25 | 136 | 1.4272 | 0.4578 | 1.4272 | 1.1947 |
No log | 4.3125 | 138 | 1.4307 | 0.4538 | 1.4307 | 1.1961 |
No log | 4.375 | 140 | 1.4773 | 0.4442 | 1.4773 | 1.2154 |
No log | 4.4375 | 142 | 1.4803 | 0.4281 | 1.4803 | 1.2167 |
No log | 4.5 | 144 | 1.5892 | 0.4045 | 1.5892 | 1.2606 |
No log | 4.5625 | 146 | 1.5541 | 0.4045 | 1.5541 | 1.2467 |
No log | 4.625 | 148 | 1.3206 | 0.4365 | 1.3206 | 1.1492 |
No log | 4.6875 | 150 | 1.1154 | 0.5102 | 1.1154 | 1.0561 |
No log | 4.75 | 152 | 1.0172 | 0.5800 | 1.0172 | 1.0086 |
No log | 4.8125 | 154 | 0.9380 | 0.5974 | 0.9380 | 0.9685 |
No log | 4.875 | 156 | 0.9844 | 0.5752 | 0.9844 | 0.9922 |
No log | 4.9375 | 158 | 1.0386 | 0.5508 | 1.0386 | 1.0191 |
No log | 5.0 | 160 | 1.0758 | 0.5442 | 1.0758 | 1.0372 |
No log | 5.0625 | 162 | 0.9445 | 0.6180 | 0.9445 | 0.9719 |
No log | 5.125 | 164 | 0.8276 | 0.6509 | 0.8276 | 0.9097 |
No log | 5.1875 | 166 | 0.8684 | 0.6514 | 0.8684 | 0.9319 |
No log | 5.25 | 168 | 0.9756 | 0.6003 | 0.9756 | 0.9877 |
No log | 5.3125 | 170 | 0.9514 | 0.5874 | 0.9514 | 0.9754 |
No log | 5.375 | 172 | 0.8481 | 0.6194 | 0.8481 | 0.9209 |
No log | 5.4375 | 174 | 0.7930 | 0.6716 | 0.7930 | 0.8905 |
No log | 5.5 | 176 | 0.8014 | 0.6824 | 0.8014 | 0.8952 |
No log | 5.5625 | 178 | 0.8812 | 0.6857 | 0.8812 | 0.9387 |
No log | 5.625 | 180 | 0.8198 | 0.6997 | 0.8198 | 0.9054 |
No log | 5.6875 | 182 | 0.9362 | 0.6879 | 0.9362 | 0.9676 |
No log | 5.75 | 184 | 1.1096 | 0.5898 | 1.1096 | 1.0534 |
No log | 5.8125 | 186 | 1.1072 | 0.5567 | 1.1072 | 1.0522 |
No log | 5.875 | 188 | 0.9187 | 0.6425 | 0.9187 | 0.9585 |
No log | 5.9375 | 190 | 1.0096 | 0.5926 | 1.0096 | 1.0048 |
No log | 6.0 | 192 | 1.1972 | 0.5828 | 1.1972 | 1.0942 |
No log | 6.0625 | 194 | 1.3883 | 0.5241 | 1.3883 | 1.1783 |
No log | 6.125 | 196 | 1.1252 | 0.5377 | 1.1252 | 1.0607 |
No log | 6.1875 | 198 | 0.8426 | 0.6446 | 0.8426 | 0.9179 |
No log | 6.25 | 200 | 0.7296 | 0.6777 | 0.7296 | 0.8542 |
No log | 6.3125 | 202 | 0.7404 | 0.6717 | 0.7404 | 0.8605 |
No log | 6.375 | 204 | 0.8368 | 0.6036 | 0.8368 | 0.9148 |
No log | 6.4375 | 206 | 0.9086 | 0.5953 | 0.9086 | 0.9532 |
No log | 6.5 | 208 | 0.8781 | 0.6201 | 0.8781 | 0.9371 |
No log | 6.5625 | 210 | 0.7986 | 0.6568 | 0.7986 | 0.8936 |
No log | 6.625 | 212 | 0.8477 | 0.6640 | 0.8477 | 0.9207 |
No log | 6.6875 | 214 | 1.0639 | 0.5782 | 1.0639 | 1.0315 |
No log | 6.75 | 216 | 1.1497 | 0.5862 | 1.1497 | 1.0723 |
No log | 6.8125 | 218 | 1.0035 | 0.5881 | 1.0035 | 1.0018 |
No log | 6.875 | 220 | 0.8190 | 0.6862 | 0.8190 | 0.9050 |
No log | 6.9375 | 222 | 0.7579 | 0.6882 | 0.7579 | 0.8706 |
No log | 7.0 | 224 | 0.8329 | 0.6239 | 0.8329 | 0.9126 |
No log | 7.0625 | 226 | 1.0100 | 0.5756 | 1.0100 | 1.0050 |
No log | 7.125 | 228 | 1.1559 | 0.4968 | 1.1559 | 1.0751 |
No log | 7.1875 | 230 | 1.1285 | 0.5133 | 1.1285 | 1.0623 |
No log | 7.25 | 232 | 1.1015 | 0.5274 | 1.1015 | 1.0495 |
No log | 7.3125 | 234 | 1.2965 | 0.5156 | 1.2965 | 1.1386 |
No log | 7.375 | 236 | 1.4001 | 0.5489 | 1.4001 | 1.1832 |
No log | 7.4375 | 238 | 1.1557 | 0.5903 | 1.1557 | 1.0750 |
No log | 7.5 | 240 | 0.8524 | 0.6703 | 0.8524 | 0.9233 |
No log | 7.5625 | 242 | 0.7009 | 0.7208 | 0.7009 | 0.8372 |
No log | 7.625 | 244 | 0.7428 | 0.6736 | 0.7428 | 0.8619 |
No log | 7.6875 | 246 | 0.9742 | 0.6136 | 0.9742 | 0.9870 |
No log | 7.75 | 248 | 1.1487 | 0.5501 | 1.1487 | 1.0718 |
No log | 7.8125 | 250 | 1.1754 | 0.5444 | 1.1754 | 1.0842 |
No log | 7.875 | 252 | 0.9976 | 0.5475 | 0.9976 | 0.9988 |
No log | 7.9375 | 254 | 0.7710 | 0.6209 | 0.7710 | 0.8781 |
No log | 8.0 | 256 | 0.7458 | 0.6200 | 0.7458 | 0.8636 |
No log | 8.0625 | 258 | 0.7486 | 0.6418 | 0.7486 | 0.8652 |
No log | 8.125 | 260 | 0.8261 | 0.6054 | 0.8261 | 0.9089 |
No log | 8.1875 | 262 | 0.9973 | 0.5426 | 0.9973 | 0.9986 |
No log | 8.25 | 264 | 1.0382 | 0.5407 | 1.0382 | 1.0189 |
No log | 8.3125 | 266 | 0.9152 | 0.5754 | 0.9152 | 0.9567 |
No log | 8.375 | 268 | 0.7955 | 0.6496 | 0.7955 | 0.8919 |
No log | 8.4375 | 270 | 0.7569 | 0.6463 | 0.7569 | 0.8700 |
No log | 8.5 | 272 | 0.8259 | 0.6088 | 0.8259 | 0.9088 |
No log | 8.5625 | 274 | 0.9145 | 0.5756 | 0.9145 | 0.9563 |
No log | 8.625 | 276 | 0.9414 | 0.5743 | 0.9414 | 0.9702 |
No log | 8.6875 | 278 | 0.9471 | 0.5694 | 0.9471 | 0.9732 |
No log | 8.75 | 280 | 0.8357 | 0.5756 | 0.8357 | 0.9142 |
No log | 8.8125 | 282 | 0.7813 | 0.5756 | 0.7813 | 0.8839 |
No log | 8.875 | 284 | 0.8513 | 0.5941 | 0.8513 | 0.9227 |
No log | 8.9375 | 286 | 0.9928 | 0.5489 | 0.9928 | 0.9964 |
No log | 9.0 | 288 | 0.9476 | 0.5491 | 0.9476 | 0.9734 |
No log | 9.0625 | 290 | 0.8095 | 0.6181 | 0.8095 | 0.8997 |
No log | 9.125 | 292 | 0.6982 | 0.6731 | 0.6982 | 0.8356 |
No log | 9.1875 | 294 | 0.6730 | 0.7082 | 0.6730 | 0.8204 |
No log | 9.25 | 296 | 0.7394 | 0.6991 | 0.7394 | 0.8599 |
No log | 9.3125 | 298 | 0.9712 | 0.6167 | 0.9712 | 0.9855 |
No log | 9.375 | 300 | 1.0892 | 0.5741 | 1.0892 | 1.0436 |
No log | 9.4375 | 302 | 0.9766 | 0.5629 | 0.9766 | 0.9882 |
No log | 9.5 | 304 | 0.7748 | 0.6724 | 0.7748 | 0.8802 |
No log | 9.5625 | 306 | 0.7248 | 0.6910 | 0.7248 | 0.8514 |
No log | 9.625 | 308 | 0.8067 | 0.6346 | 0.8067 | 0.8982 |
No log | 9.6875 | 310 | 1.0620 | 0.5655 | 1.0620 | 1.0305 |
No log | 9.75 | 312 | 1.1711 | 0.5514 | 1.1711 | 1.0822 |
No log | 9.8125 | 314 | 1.0107 | 0.5618 | 1.0107 | 1.0053 |
No log | 9.875 | 316 | 0.8040 | 0.6543 | 0.8040 | 0.8967 |
No log | 9.9375 | 318 | 0.7435 | 0.6758 | 0.7435 | 0.8623 |
No log | 10.0 | 320 | 0.7241 | 0.6353 | 0.7241 | 0.8509 |
No log | 10.0625 | 322 | 0.7382 | 0.5563 | 0.7382 | 0.8592 |
No log | 10.125 | 324 | 0.8029 | 0.6190 | 0.8029 | 0.8960 |
No log | 10.1875 | 326 | 0.9877 | 0.5462 | 0.9877 | 0.9938 |
No log | 10.25 | 328 | 1.1184 | 0.5172 | 1.1184 | 1.0575 |
No log | 10.3125 | 330 | 1.0162 | 0.5453 | 1.0162 | 1.0080 |
No log | 10.375 | 332 | 0.8084 | 0.6440 | 0.8084 | 0.8991 |
No log | 10.4375 | 334 | 0.7450 | 0.6706 | 0.7450 | 0.8631 |
No log | 10.5 | 336 | 0.8021 | 0.6590 | 0.8021 | 0.8956 |
No log | 10.5625 | 338 | 0.9470 | 0.5956 | 0.9470 | 0.9731 |
No log | 10.625 | 340 | 1.1524 | 0.5416 | 1.1524 | 1.0735 |
No log | 10.6875 | 342 | 1.1894 | 0.5535 | 1.1894 | 1.0906 |
No log | 10.75 | 344 | 1.0526 | 0.5398 | 1.0526 | 1.0260 |
No log | 10.8125 | 346 | 0.8922 | 0.6050 | 0.8922 | 0.9445 |
No log | 10.875 | 348 | 0.8840 | 0.6066 | 0.8840 | 0.9402 |
No log | 10.9375 | 350 | 0.9697 | 0.5807 | 0.9697 | 0.9847 |
No log | 11.0 | 352 | 0.9519 | 0.5845 | 0.9519 | 0.9757 |
No log | 11.0625 | 354 | 0.9433 | 0.5845 | 0.9433 | 0.9712 |
No log | 11.125 | 356 | 0.9010 | 0.5957 | 0.9010 | 0.9492 |
No log | 11.1875 | 358 | 0.7918 | 0.6178 | 0.7918 | 0.8898 |
No log | 11.25 | 360 | 0.8116 | 0.6077 | 0.8116 | 0.9009 |
No log | 11.3125 | 362 | 0.8730 | 0.5783 | 0.8730 | 0.9343 |
No log | 11.375 | 364 | 0.8219 | 0.5770 | 0.8219 | 0.9066 |
No log | 11.4375 | 366 | 0.7988 | 0.5837 | 0.7988 | 0.8937 |
No log | 11.5 | 368 | 0.8381 | 0.6039 | 0.8381 | 0.9155 |
No log | 11.5625 | 370 | 0.8847 | 0.5869 | 0.8847 | 0.9406 |
No log | 11.625 | 372 | 0.8397 | 0.6032 | 0.8397 | 0.9164 |
No log | 11.6875 | 374 | 0.8410 | 0.6165 | 0.8410 | 0.9171 |
No log | 11.75 | 376 | 0.9570 | 0.5814 | 0.9570 | 0.9783 |
No log | 11.8125 | 378 | 1.1253 | 0.5225 | 1.1253 | 1.0608 |
No log | 11.875 | 380 | 1.1483 | 0.5307 | 1.1483 | 1.0716 |
No log | 11.9375 | 382 | 1.0764 | 0.5290 | 1.0764 | 1.0375 |
No log | 12.0 | 384 | 1.0271 | 0.5307 | 1.0271 | 1.0134 |
No log | 12.0625 | 386 | 1.0046 | 0.5568 | 1.0046 | 1.0023 |
No log | 12.125 | 388 | 0.8325 | 0.6619 | 0.8325 | 0.9124 |
No log | 12.1875 | 390 | 0.7901 | 0.6808 | 0.7901 | 0.8889 |
No log | 12.25 | 392 | 0.8089 | 0.6667 | 0.8089 | 0.8994 |
No log | 12.3125 | 394 | 0.9111 | 0.6341 | 0.9111 | 0.9545 |
No log | 12.375 | 396 | 0.9388 | 0.6282 | 0.9388 | 0.9689 |
No log | 12.4375 | 398 | 0.9848 | 0.6394 | 0.9848 | 0.9923 |
No log | 12.5 | 400 | 1.0328 | 0.6340 | 1.0328 | 1.0163 |
No log | 12.5625 | 402 | 0.9876 | 0.6067 | 0.9876 | 0.9938 |
No log | 12.625 | 404 | 0.9530 | 0.5823 | 0.9530 | 0.9762 |
No log | 12.6875 | 406 | 0.9004 | 0.6094 | 0.9004 | 0.9489 |
No log | 12.75 | 408 | 0.9656 | 0.5512 | 0.9656 | 0.9826 |
No log | 12.8125 | 410 | 1.0588 | 0.5388 | 1.0588 | 1.0290 |
No log | 12.875 | 412 | 1.0902 | 0.5248 | 1.0902 | 1.0441 |
No log | 12.9375 | 414 | 0.9417 | 0.5522 | 0.9417 | 0.9704 |
No log | 13.0 | 416 | 0.9329 | 0.5657 | 0.9329 | 0.9658 |
No log | 13.0625 | 418 | 1.1008 | 0.5304 | 1.1008 | 1.0492 |
No log | 13.125 | 420 | 1.1286 | 0.5303 | 1.1286 | 1.0624 |
No log | 13.1875 | 422 | 1.0153 | 0.6065 | 1.0153 | 1.0076 |
No log | 13.25 | 424 | 1.0073 | 0.6065 | 1.0073 | 1.0036 |
No log | 13.3125 | 426 | 0.9017 | 0.6207 | 0.9017 | 0.9496 |
No log | 13.375 | 428 | 0.9072 | 0.6009 | 0.9072 | 0.9525 |
No log | 13.4375 | 430 | 0.8011 | 0.6419 | 0.8011 | 0.8950 |
No log | 13.5 | 432 | 0.8016 | 0.6367 | 0.8016 | 0.8953 |
No log | 13.5625 | 434 | 0.9447 | 0.5981 | 0.9447 | 0.9720 |
No log | 13.625 | 436 | 0.9710 | 0.6084 | 0.9710 | 0.9854 |
No log | 13.6875 | 438 | 0.9619 | 0.6084 | 0.9619 | 0.9808 |
No log | 13.75 | 440 | 0.8377 | 0.6279 | 0.8377 | 0.9153 |
No log | 13.8125 | 442 | 0.7907 | 0.6418 | 0.7907 | 0.8892 |
No log | 13.875 | 444 | 0.9034 | 0.6067 | 0.9034 | 0.9505 |
No log | 13.9375 | 446 | 1.1370 | 0.5591 | 1.1370 | 1.0663 |
No log | 14.0 | 448 | 1.2169 | 0.5401 | 1.2169 | 1.1031 |
No log | 14.0625 | 450 | 1.0105 | 0.5649 | 1.0105 | 1.0052 |
No log | 14.125 | 452 | 0.7444 | 0.6586 | 0.7444 | 0.8628 |
No log | 14.1875 | 454 | 0.6487 | 0.6611 | 0.6487 | 0.8054 |
No log | 14.25 | 456 | 0.6589 | 0.6534 | 0.6589 | 0.8117 |
No log | 14.3125 | 458 | 0.7250 | 0.6612 | 0.7250 | 0.8514 |
No log | 14.375 | 460 | 0.7909 | 0.6351 | 0.7909 | 0.8893 |
No log | 14.4375 | 462 | 0.9304 | 0.5693 | 0.9304 | 0.9646 |
No log | 14.5 | 464 | 0.9139 | 0.5693 | 0.9139 | 0.9560 |
No log | 14.5625 | 466 | 0.8165 | 0.6552 | 0.8165 | 0.9036 |
No log | 14.625 | 468 | 0.8697 | 0.6516 | 0.8697 | 0.9326 |
No log | 14.6875 | 470 | 1.0260 | 0.5421 | 1.0260 | 1.0129 |
No log | 14.75 | 472 | 1.3079 | 0.5210 | 1.3079 | 1.1437 |
No log | 14.8125 | 474 | 1.3855 | 0.4624 | 1.3855 | 1.1771 |
No log | 14.875 | 476 | 1.2268 | 0.4770 | 1.2268 | 1.1076 |
No log | 14.9375 | 478 | 0.9937 | 0.5630 | 0.9937 | 0.9968 |
No log | 15.0 | 480 | 0.8324 | 0.6083 | 0.8324 | 0.9124 |
No log | 15.0625 | 482 | 0.8056 | 0.6367 | 0.8056 | 0.8976 |
No log | 15.125 | 484 | 0.9219 | 0.5795 | 0.9219 | 0.9602 |
No log | 15.1875 | 486 | 1.1031 | 0.5174 | 1.1031 | 1.0503 |
No log | 15.25 | 488 | 1.0989 | 0.5331 | 1.0989 | 1.0483 |
No log | 15.3125 | 490 | 0.9529 | 0.5841 | 0.9529 | 0.9761 |
No log | 15.375 | 492 | 0.8717 | 0.6023 | 0.8717 | 0.9337 |
No log | 15.4375 | 494 | 0.8342 | 0.6466 | 0.8342 | 0.9133 |
No log | 15.5 | 496 | 0.8485 | 0.6351 | 0.8485 | 0.9212 |
No log | 15.5625 | 498 | 0.8589 | 0.6376 | 0.8589 | 0.9268 |
0.4639 | 15.625 | 500 | 0.8230 | 0.6676 | 0.8230 | 0.9072 |
0.4639 | 15.6875 | 502 | 0.7317 | 0.6910 | 0.7317 | 0.8554 |
0.4639 | 15.75 | 504 | 0.6553 | 0.7146 | 0.6553 | 0.8095 |
0.4639 | 15.8125 | 506 | 0.6849 | 0.6998 | 0.6849 | 0.8276 |
0.4639 | 15.875 | 508 | 0.7312 | 0.6986 | 0.7312 | 0.8551 |
0.4639 | 15.9375 | 510 | 0.7915 | 0.7015 | 0.7915 | 0.8896 |
0.4639 | 16.0 | 512 | 0.8870 | 0.6590 | 0.8870 | 0.9418 |
0.4639 | 16.0625 | 514 | 0.9779 | 0.6403 | 0.9779 | 0.9889 |
0.4639 | 16.125 | 516 | 0.8985 | 0.6017 | 0.8985 | 0.9479 |
0.4639 | 16.1875 | 518 | 0.8250 | 0.6539 | 0.8250 | 0.9083 |
0.4639 | 16.25 | 520 | 0.8484 | 0.6230 | 0.8484 | 0.9211 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k6_task1_organization
Base model
aubmindlab/bert-base-arabertv02