ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k9_task3_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: 0.9054
- Qwk: 0.2184
- Mse: 0.9054
- Rmse: 0.9515
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0435 | 2 | 3.3798 | -0.0160 | 3.3798 | 1.8384 |
| No log | 0.0870 | 4 | 1.6559 | -0.0370 | 1.6559 | 1.2868 |
| No log | 0.1304 | 6 | 1.2114 | 0.0376 | 1.2114 | 1.1006 |
| No log | 0.1739 | 8 | 0.5823 | 0.0909 | 0.5823 | 0.7631 |
| No log | 0.2174 | 10 | 0.6536 | -0.0853 | 0.6536 | 0.8084 |
| No log | 0.2609 | 12 | 0.7214 | -0.1556 | 0.7214 | 0.8494 |
| No log | 0.3043 | 14 | 0.8116 | -0.2327 | 0.8116 | 0.9009 |
| No log | 0.3478 | 16 | 0.6862 | -0.0732 | 0.6862 | 0.8284 |
| No log | 0.3913 | 18 | 0.6793 | -0.0732 | 0.6793 | 0.8242 |
| No log | 0.4348 | 20 | 0.6145 | 0.0 | 0.6145 | 0.7839 |
| No log | 0.4783 | 22 | 0.5901 | 0.0 | 0.5901 | 0.7682 |
| No log | 0.5217 | 24 | 0.6121 | 0.0 | 0.6121 | 0.7824 |
| No log | 0.5652 | 26 | 0.6341 | 0.0 | 0.6341 | 0.7963 |
| No log | 0.6087 | 28 | 0.6205 | 0.0 | 0.6205 | 0.7877 |
| No log | 0.6522 | 30 | 0.6141 | 0.0 | 0.6141 | 0.7836 |
| No log | 0.6957 | 32 | 0.6581 | -0.0853 | 0.6581 | 0.8112 |
| No log | 0.7391 | 34 | 0.6647 | -0.0909 | 0.6647 | 0.8153 |
| No log | 0.7826 | 36 | 0.6006 | 0.0222 | 0.6006 | 0.7750 |
| No log | 0.8261 | 38 | 0.6973 | 0.2000 | 0.6973 | 0.8350 |
| No log | 0.8696 | 40 | 0.7037 | 0.1746 | 0.7037 | 0.8388 |
| No log | 0.9130 | 42 | 0.7602 | 0.1590 | 0.7602 | 0.8719 |
| No log | 0.9565 | 44 | 0.6436 | 0.1905 | 0.6436 | 0.8022 |
| No log | 1.0 | 46 | 0.6218 | -0.0233 | 0.6218 | 0.7885 |
| No log | 1.0435 | 48 | 0.7242 | 0.0 | 0.7242 | 0.8510 |
| No log | 1.0870 | 50 | 0.7466 | -0.2148 | 0.7466 | 0.8641 |
| No log | 1.1304 | 52 | 0.7839 | -0.2267 | 0.7839 | 0.8854 |
| No log | 1.1739 | 54 | 0.8242 | -0.1462 | 0.8242 | 0.9078 |
| No log | 1.2174 | 56 | 0.7673 | -0.0864 | 0.7673 | 0.8760 |
| No log | 1.2609 | 58 | 0.6726 | 0.0933 | 0.6726 | 0.8201 |
| No log | 1.3043 | 60 | 0.6470 | 0.1484 | 0.6470 | 0.8044 |
| No log | 1.3478 | 62 | 0.6218 | -0.0286 | 0.6218 | 0.7885 |
| No log | 1.3913 | 64 | 0.6303 | 0.0638 | 0.6303 | 0.7939 |
| No log | 1.4348 | 66 | 0.6654 | 0.0811 | 0.6654 | 0.8157 |
| No log | 1.4783 | 68 | 0.7195 | 0.2000 | 0.7195 | 0.8482 |
| No log | 1.5217 | 70 | 0.5637 | 0.0949 | 0.5637 | 0.7508 |
| No log | 1.5652 | 72 | 0.7042 | 0.2258 | 0.7042 | 0.8392 |
| No log | 1.6087 | 74 | 0.6696 | 0.2967 | 0.6696 | 0.8183 |
| No log | 1.6522 | 76 | 0.6270 | 0.2105 | 0.6270 | 0.7919 |
| No log | 1.6957 | 78 | 0.7817 | 0.0576 | 0.7817 | 0.8841 |
| No log | 1.7391 | 80 | 1.2736 | 0.0541 | 1.2736 | 1.1285 |
| No log | 1.7826 | 82 | 1.2521 | 0.1304 | 1.2521 | 1.1190 |
| No log | 1.8261 | 84 | 0.7707 | 0.1209 | 0.7707 | 0.8779 |
| No log | 1.8696 | 86 | 0.7506 | 0.0734 | 0.7506 | 0.8664 |
| No log | 1.9130 | 88 | 0.7243 | 0.0222 | 0.7243 | 0.8510 |
| No log | 1.9565 | 90 | 0.6323 | 0.0345 | 0.6323 | 0.7952 |
| No log | 2.0 | 92 | 0.8472 | 0.1429 | 0.8472 | 0.9205 |
| No log | 2.0435 | 94 | 1.4412 | 0.1662 | 1.4412 | 1.2005 |
| No log | 2.0870 | 96 | 1.1836 | 0.2054 | 1.1836 | 1.0879 |
| No log | 2.1304 | 98 | 0.7167 | 0.1045 | 0.7167 | 0.8466 |
| No log | 2.1739 | 100 | 0.6476 | 0.3073 | 0.6476 | 0.8048 |
| No log | 2.2174 | 102 | 0.6312 | 0.3708 | 0.6312 | 0.7945 |
| No log | 2.2609 | 104 | 0.8327 | 0.1765 | 0.8327 | 0.9125 |
| No log | 2.3043 | 106 | 1.4630 | 0.1342 | 1.4630 | 1.2096 |
| No log | 2.3478 | 108 | 1.2677 | 0.1373 | 1.2677 | 1.1259 |
| No log | 2.3913 | 110 | 0.8106 | 0.1753 | 0.8106 | 0.9003 |
| No log | 2.4348 | 112 | 0.8331 | 0.1373 | 0.8331 | 0.9127 |
| No log | 2.4783 | 114 | 0.7866 | 0.1005 | 0.7866 | 0.8869 |
| No log | 2.5217 | 116 | 0.6726 | 0.2941 | 0.6726 | 0.8201 |
| No log | 2.5652 | 118 | 0.6858 | 0.2079 | 0.6858 | 0.8281 |
| No log | 2.6087 | 120 | 0.6430 | 0.3297 | 0.6430 | 0.8019 |
| No log | 2.6522 | 122 | 0.7481 | 0.2982 | 0.7481 | 0.8649 |
| No log | 2.6957 | 124 | 1.5113 | 0.1395 | 1.5113 | 1.2294 |
| No log | 2.7391 | 126 | 1.8583 | 0.1190 | 1.8583 | 1.3632 |
| No log | 2.7826 | 128 | 1.2393 | 0.2258 | 1.2393 | 1.1132 |
| No log | 2.8261 | 130 | 0.7306 | 0.2618 | 0.7306 | 0.8548 |
| No log | 2.8696 | 132 | 0.6231 | 0.2542 | 0.6231 | 0.7894 |
| No log | 2.9130 | 134 | 0.6303 | 0.28 | 0.6303 | 0.7939 |
| No log | 2.9565 | 136 | 0.9497 | 0.2000 | 0.9497 | 0.9745 |
| No log | 3.0 | 138 | 1.3473 | 0.2050 | 1.3473 | 1.1608 |
| No log | 3.0435 | 140 | 1.1519 | 0.2323 | 1.1519 | 1.0733 |
| No log | 3.0870 | 142 | 0.7102 | 0.1746 | 0.7102 | 0.8428 |
| No log | 3.1304 | 144 | 0.5922 | 0.0728 | 0.5922 | 0.7696 |
| No log | 3.1739 | 146 | 0.6389 | 0.2265 | 0.6389 | 0.7993 |
| No log | 3.2174 | 148 | 0.6720 | 0.2842 | 0.6720 | 0.8198 |
| No log | 3.2609 | 150 | 0.6618 | 0.2609 | 0.6618 | 0.8135 |
| No log | 3.3043 | 152 | 0.7047 | 0.2965 | 0.7047 | 0.8394 |
| No log | 3.3478 | 154 | 0.7866 | 0.25 | 0.7866 | 0.8869 |
| No log | 3.3913 | 156 | 0.6739 | 0.2941 | 0.6739 | 0.8209 |
| No log | 3.4348 | 158 | 0.5497 | 0.3735 | 0.5497 | 0.7414 |
| No log | 3.4783 | 160 | 0.5792 | 0.4220 | 0.5792 | 0.7611 |
| No log | 3.5217 | 162 | 0.5712 | 0.4286 | 0.5712 | 0.7558 |
| No log | 3.5652 | 164 | 0.7663 | 0.3305 | 0.7663 | 0.8754 |
| No log | 3.6087 | 166 | 1.0160 | 0.1729 | 1.0160 | 1.0080 |
| No log | 3.6522 | 168 | 0.8785 | 0.1942 | 0.8785 | 0.9373 |
| No log | 3.6957 | 170 | 0.6233 | 0.4175 | 0.6233 | 0.7895 |
| No log | 3.7391 | 172 | 0.5809 | 0.3927 | 0.5809 | 0.7622 |
| No log | 3.7826 | 174 | 0.6874 | 0.3628 | 0.6874 | 0.8291 |
| No log | 3.8261 | 176 | 0.6483 | 0.4123 | 0.6483 | 0.8051 |
| No log | 3.8696 | 178 | 0.7650 | 0.3277 | 0.7650 | 0.8747 |
| No log | 3.9130 | 180 | 1.1678 | 0.2000 | 1.1678 | 1.0806 |
| No log | 3.9565 | 182 | 1.3130 | 0.1315 | 1.3130 | 1.1459 |
| No log | 4.0 | 184 | 1.0851 | 0.2000 | 1.0851 | 1.0417 |
| No log | 4.0435 | 186 | 0.7655 | 0.2000 | 0.7655 | 0.8749 |
| No log | 4.0870 | 188 | 0.7157 | 0.3333 | 0.7157 | 0.8460 |
| No log | 4.1304 | 190 | 0.8450 | 0.1746 | 0.8450 | 0.9192 |
| No log | 4.1739 | 192 | 1.1014 | 0.2258 | 1.1014 | 1.0495 |
| No log | 4.2174 | 194 | 1.0495 | 0.2258 | 1.0495 | 1.0245 |
| No log | 4.2609 | 196 | 1.0567 | 0.2258 | 1.0567 | 1.0280 |
| No log | 4.3043 | 198 | 1.1787 | 0.2254 | 1.1787 | 1.0857 |
| No log | 4.3478 | 200 | 1.1649 | 0.2308 | 1.1649 | 1.0793 |
| No log | 4.3913 | 202 | 1.0014 | 0.2058 | 1.0014 | 1.0007 |
| No log | 4.4348 | 204 | 1.0247 | 0.2276 | 1.0247 | 1.0123 |
| No log | 4.4783 | 206 | 0.8145 | 0.1464 | 0.8145 | 0.9025 |
| No log | 4.5217 | 208 | 0.7980 | 0.2239 | 0.7980 | 0.8933 |
| No log | 4.5652 | 210 | 0.8271 | 0.2527 | 0.8271 | 0.9095 |
| No log | 4.6087 | 212 | 1.1268 | 0.2000 | 1.1268 | 1.0615 |
| No log | 4.6522 | 214 | 1.2547 | 0.1656 | 1.2547 | 1.1201 |
| No log | 4.6957 | 216 | 1.4511 | 0.1236 | 1.4511 | 1.2046 |
| No log | 4.7391 | 218 | 1.2066 | 0.1656 | 1.2066 | 1.0985 |
| No log | 4.7826 | 220 | 0.7520 | 0.1071 | 0.7520 | 0.8672 |
| No log | 4.8261 | 222 | 0.6014 | 0.35 | 0.6014 | 0.7755 |
| No log | 4.8696 | 224 | 0.6527 | 0.2165 | 0.6527 | 0.8079 |
| No log | 4.9130 | 226 | 0.7175 | 0.2153 | 0.7175 | 0.8471 |
| No log | 4.9565 | 228 | 0.7278 | 0.3116 | 0.7278 | 0.8531 |
| No log | 5.0 | 230 | 0.9865 | 0.1773 | 0.9865 | 0.9932 |
| No log | 5.0435 | 232 | 1.6259 | 0.0983 | 1.6259 | 1.2751 |
| No log | 5.0870 | 234 | 1.9078 | 0.1186 | 1.9078 | 1.3812 |
| No log | 5.1304 | 236 | 1.6031 | 0.0997 | 1.6031 | 1.2661 |
| No log | 5.1739 | 238 | 1.0740 | 0.1270 | 1.0740 | 1.0364 |
| No log | 5.2174 | 240 | 0.8437 | 0.2000 | 0.8437 | 0.9185 |
| No log | 5.2609 | 242 | 0.8591 | 0.2000 | 0.8591 | 0.9269 |
| No log | 5.3043 | 244 | 0.9978 | 0.1579 | 0.9978 | 0.9989 |
| No log | 5.3478 | 246 | 1.3427 | 0.1429 | 1.3427 | 1.1587 |
| No log | 5.3913 | 248 | 1.5583 | 0.0983 | 1.5583 | 1.2483 |
| No log | 5.4348 | 250 | 1.3259 | 0.1429 | 1.3259 | 1.1515 |
| No log | 5.4783 | 252 | 0.9486 | 0.1880 | 0.9486 | 0.9740 |
| No log | 5.5217 | 254 | 0.7221 | 0.1388 | 0.7221 | 0.8498 |
| No log | 5.5652 | 256 | 0.6401 | 0.2842 | 0.6401 | 0.8001 |
| No log | 5.6087 | 258 | 0.7104 | 0.1388 | 0.7104 | 0.8429 |
| No log | 5.6522 | 260 | 1.0153 | 0.2329 | 1.0153 | 1.0076 |
| No log | 5.6957 | 262 | 1.2327 | 0.2099 | 1.2327 | 1.1103 |
| No log | 5.7391 | 264 | 1.1095 | 0.2051 | 1.1095 | 1.0533 |
| No log | 5.7826 | 266 | 0.8131 | 0.2333 | 0.8131 | 0.9017 |
| No log | 5.8261 | 268 | 0.7090 | 0.2000 | 0.7090 | 0.8420 |
| No log | 5.8696 | 270 | 0.8043 | 0.1366 | 0.8043 | 0.8968 |
| No log | 5.9130 | 272 | 1.0384 | 0.2329 | 1.0384 | 1.0190 |
| No log | 5.9565 | 274 | 1.0438 | 0.2115 | 1.0438 | 1.0216 |
| No log | 6.0 | 276 | 0.9420 | 0.1760 | 0.9420 | 0.9705 |
| No log | 6.0435 | 278 | 0.9641 | 0.2000 | 0.9641 | 0.9819 |
| No log | 6.0870 | 280 | 1.0941 | 0.2000 | 1.0941 | 1.0460 |
| No log | 6.1304 | 282 | 1.1779 | 0.1801 | 1.1779 | 1.0853 |
| No log | 6.1739 | 284 | 1.1056 | 0.1531 | 1.1056 | 1.0515 |
| No log | 6.2174 | 286 | 1.0953 | 0.1268 | 1.0953 | 1.0466 |
| No log | 6.2609 | 288 | 0.9153 | 0.1751 | 0.9153 | 0.9567 |
| No log | 6.3043 | 290 | 0.8577 | 0.1746 | 0.8577 | 0.9261 |
| No log | 6.3478 | 292 | 0.8844 | 0.1746 | 0.8844 | 0.9404 |
| No log | 6.3913 | 294 | 0.8737 | 0.1741 | 0.8737 | 0.9347 |
| No log | 6.4348 | 296 | 0.9689 | 0.1818 | 0.9689 | 0.9843 |
| No log | 6.4783 | 298 | 0.9813 | 0.1533 | 0.9813 | 0.9906 |
| No log | 6.5217 | 300 | 0.9394 | 0.1461 | 0.9394 | 0.9692 |
| No log | 6.5652 | 302 | 0.9333 | 0.1496 | 0.9333 | 0.9661 |
| No log | 6.6087 | 304 | 1.0276 | 0.1515 | 1.0276 | 1.0137 |
| No log | 6.6522 | 306 | 1.0088 | 0.1818 | 1.0088 | 1.0044 |
| No log | 6.6957 | 308 | 0.9528 | 0.1811 | 0.9528 | 0.9761 |
| No log | 6.7391 | 310 | 0.9261 | 0.1873 | 0.9261 | 0.9623 |
| No log | 6.7826 | 312 | 0.9429 | 0.1875 | 0.9429 | 0.9710 |
| No log | 6.8261 | 314 | 1.0043 | 0.2239 | 1.0043 | 1.0022 |
| No log | 6.8696 | 316 | 1.1052 | 0.1709 | 1.1052 | 1.0513 |
| No log | 6.9130 | 318 | 1.0393 | 0.2234 | 1.0393 | 1.0194 |
| No log | 6.9565 | 320 | 0.9056 | 0.1756 | 0.9056 | 0.9516 |
| No log | 7.0 | 322 | 0.8063 | 0.2066 | 0.8063 | 0.8979 |
| No log | 7.0435 | 324 | 0.8872 | 0.1506 | 0.8872 | 0.9419 |
| No log | 7.0870 | 326 | 1.0194 | 0.1943 | 1.0194 | 1.0097 |
| No log | 7.1304 | 328 | 0.9828 | 0.1942 | 0.9828 | 0.9914 |
| No log | 7.1739 | 330 | 0.8225 | 0.1486 | 0.8225 | 0.9069 |
| No log | 7.2174 | 332 | 0.7820 | 0.2066 | 0.7820 | 0.8843 |
| No log | 7.2609 | 334 | 0.8323 | 0.1877 | 0.8323 | 0.9123 |
| No log | 7.3043 | 336 | 0.8223 | 0.2187 | 0.8223 | 0.9068 |
| No log | 7.3478 | 338 | 0.7775 | 0.2137 | 0.7775 | 0.8818 |
| No log | 7.3913 | 340 | 0.7592 | 0.1790 | 0.7592 | 0.8713 |
| No log | 7.4348 | 342 | 0.7310 | 0.1781 | 0.7310 | 0.8550 |
| No log | 7.4783 | 344 | 0.8472 | 0.2353 | 0.8472 | 0.9204 |
| No log | 7.5217 | 346 | 1.1084 | 0.2412 | 1.1084 | 1.0528 |
| No log | 7.5652 | 348 | 1.3589 | 0.1667 | 1.3589 | 1.1657 |
| No log | 7.6087 | 350 | 1.3508 | 0.1667 | 1.3508 | 1.1623 |
| No log | 7.6522 | 352 | 1.1633 | 0.2150 | 1.1633 | 1.0786 |
| No log | 7.6957 | 354 | 0.8978 | 0.2472 | 0.8978 | 0.9475 |
| No log | 7.7391 | 356 | 0.7872 | 0.1464 | 0.7872 | 0.8872 |
| No log | 7.7826 | 358 | 0.8014 | 0.2129 | 0.8014 | 0.8952 |
| No log | 7.8261 | 360 | 0.8789 | 0.2188 | 0.8789 | 0.9375 |
| No log | 7.8696 | 362 | 0.8980 | 0.2184 | 0.8980 | 0.9476 |
| No log | 7.9130 | 364 | 0.9170 | 0.2184 | 0.9170 | 0.9576 |
| No log | 7.9565 | 366 | 1.0202 | 0.2165 | 1.0202 | 1.0101 |
| No log | 8.0 | 368 | 1.0614 | 0.1945 | 1.0614 | 1.0302 |
| No log | 8.0435 | 370 | 0.9976 | 0.2168 | 0.9976 | 0.9988 |
| No log | 8.0870 | 372 | 1.0180 | 0.2165 | 1.0180 | 1.0090 |
| No log | 8.1304 | 374 | 0.9974 | 0.2111 | 0.9974 | 0.9987 |
| No log | 8.1739 | 376 | 0.8899 | 0.2416 | 0.8899 | 0.9433 |
| No log | 8.2174 | 378 | 0.7634 | 0.2469 | 0.7634 | 0.8737 |
| No log | 8.2609 | 380 | 0.6807 | 0.2727 | 0.6807 | 0.8250 |
| No log | 8.3043 | 382 | 0.6847 | 0.3067 | 0.6847 | 0.8274 |
| No log | 8.3478 | 384 | 0.7429 | 0.2137 | 0.7429 | 0.8619 |
| No log | 8.3913 | 386 | 0.8738 | 0.2188 | 0.8738 | 0.9347 |
| No log | 8.4348 | 388 | 0.9932 | 0.1945 | 0.9932 | 0.9966 |
| No log | 8.4783 | 390 | 1.0498 | 0.1678 | 1.0498 | 1.0246 |
| No log | 8.5217 | 392 | 1.0180 | 0.1945 | 1.0180 | 1.0089 |
| No log | 8.5652 | 394 | 0.9120 | 0.1882 | 0.9120 | 0.9550 |
| No log | 8.6087 | 396 | 0.8026 | 0.2129 | 0.8026 | 0.8959 |
| No log | 8.6522 | 398 | 0.7605 | 0.1790 | 0.7605 | 0.8721 |
| No log | 8.6957 | 400 | 0.7819 | 0.2134 | 0.7819 | 0.8842 |
| No log | 8.7391 | 402 | 0.8383 | 0.2195 | 0.8383 | 0.9156 |
| No log | 8.7826 | 404 | 0.9152 | 0.2180 | 0.9152 | 0.9566 |
| No log | 8.8261 | 406 | 0.9759 | 0.1884 | 0.9759 | 0.9879 |
| No log | 8.8696 | 408 | 0.9924 | 0.1886 | 0.9924 | 0.9962 |
| No log | 8.9130 | 410 | 0.9847 | 0.1886 | 0.9847 | 0.9923 |
| No log | 8.9565 | 412 | 0.9520 | 0.2180 | 0.9520 | 0.9757 |
| No log | 9.0 | 414 | 0.9252 | 0.2188 | 0.9252 | 0.9619 |
| No log | 9.0435 | 416 | 0.9149 | 0.2188 | 0.9149 | 0.9565 |
| No log | 9.0870 | 418 | 0.9490 | 0.2184 | 0.9490 | 0.9742 |
| No log | 9.1304 | 420 | 1.0249 | 0.1886 | 1.0249 | 1.0124 |
| No log | 9.1739 | 422 | 1.0583 | 0.1608 | 1.0583 | 1.0288 |
| No log | 9.2174 | 424 | 1.0373 | 0.1608 | 1.0373 | 1.0185 |
| No log | 9.2609 | 426 | 0.9951 | 0.2174 | 0.9951 | 0.9976 |
| No log | 9.3043 | 428 | 0.9510 | 0.2184 | 0.9510 | 0.9752 |
| No log | 9.3478 | 430 | 0.8966 | 0.2188 | 0.8966 | 0.9469 |
| No log | 9.3913 | 432 | 0.8626 | 0.2191 | 0.8626 | 0.9287 |
| No log | 9.4348 | 434 | 0.8479 | 0.2191 | 0.8479 | 0.9208 |
| No log | 9.4783 | 436 | 0.8429 | 0.2191 | 0.8429 | 0.9181 |
| No log | 9.5217 | 438 | 0.8497 | 0.2191 | 0.8497 | 0.9218 |
| No log | 9.5652 | 440 | 0.8637 | 0.2191 | 0.8637 | 0.9294 |
| No log | 9.6087 | 442 | 0.8761 | 0.2191 | 0.8761 | 0.9360 |
| No log | 9.6522 | 444 | 0.8888 | 0.2188 | 0.8888 | 0.9428 |
| No log | 9.6957 | 446 | 0.8981 | 0.2184 | 0.8981 | 0.9477 |
| No log | 9.7391 | 448 | 0.9021 | 0.2184 | 0.9021 | 0.9498 |
| No log | 9.7826 | 450 | 0.9033 | 0.2184 | 0.9033 | 0.9504 |
| No log | 9.8261 | 452 | 0.9075 | 0.2184 | 0.9075 | 0.9526 |
| No log | 9.8696 | 454 | 0.9100 | 0.2184 | 0.9100 | 0.9539 |
| No log | 9.9130 | 456 | 0.9095 | 0.2184 | 0.9095 | 0.9537 |
| No log | 9.9565 | 458 | 0.9065 | 0.2184 | 0.9065 | 0.9521 |
| No log | 10.0 | 460 | 0.9054 | 0.2184 | 0.9054 | 0.9515 |
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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k9_task3_organization
Base model
aubmindlab/bert-base-arabertv02