Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k12_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k12_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k12_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k12_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k12_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k12_task5_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: 0.8535
- Qwk: 0.6518
- Mse: 0.8535
- Rmse: 0.9238
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 | 0.0351 | 2 | 2.3178 | -0.0013 | 2.3178 | 1.5224 |
| No log | 0.0702 | 4 | 1.6379 | 0.1787 | 1.6379 | 1.2798 |
| No log | 0.1053 | 6 | 1.7637 | -0.0044 | 1.7637 | 1.3280 |
| No log | 0.1404 | 8 | 2.0925 | -0.0413 | 2.0925 | 1.4465 |
| No log | 0.1754 | 10 | 1.8422 | 0.0706 | 1.8422 | 1.3573 |
| No log | 0.2105 | 12 | 1.4101 | 0.1109 | 1.4101 | 1.1875 |
| No log | 0.2456 | 14 | 1.3535 | 0.1347 | 1.3535 | 1.1634 |
| No log | 0.2807 | 16 | 1.4129 | 0.1589 | 1.4129 | 1.1886 |
| No log | 0.3158 | 18 | 1.4061 | 0.1427 | 1.4061 | 1.1858 |
| No log | 0.3509 | 20 | 1.4030 | 0.1697 | 1.4030 | 1.1845 |
| No log | 0.3860 | 22 | 1.3829 | 0.1742 | 1.3829 | 1.1760 |
| No log | 0.4211 | 24 | 1.3441 | 0.1400 | 1.3441 | 1.1594 |
| No log | 0.4561 | 26 | 1.3150 | 0.1802 | 1.3150 | 1.1467 |
| No log | 0.4912 | 28 | 1.2786 | 0.1948 | 1.2786 | 1.1307 |
| No log | 0.5263 | 30 | 1.2373 | 0.2315 | 1.2373 | 1.1124 |
| No log | 0.5614 | 32 | 1.2273 | 0.2546 | 1.2273 | 1.1078 |
| No log | 0.5965 | 34 | 1.2029 | 0.2852 | 1.2029 | 1.0968 |
| No log | 0.6316 | 36 | 1.1922 | 0.2880 | 1.1922 | 1.0919 |
| No log | 0.6667 | 38 | 1.1792 | 0.3347 | 1.1792 | 1.0859 |
| No log | 0.7018 | 40 | 1.1563 | 0.3785 | 1.1563 | 1.0753 |
| No log | 0.7368 | 42 | 1.1231 | 0.3572 | 1.1231 | 1.0598 |
| No log | 0.7719 | 44 | 1.0996 | 0.4234 | 1.0996 | 1.0486 |
| No log | 0.8070 | 46 | 1.1165 | 0.4060 | 1.1165 | 1.0567 |
| No log | 0.8421 | 48 | 1.2246 | 0.4166 | 1.2246 | 1.1066 |
| No log | 0.8772 | 50 | 1.1948 | 0.4392 | 1.1948 | 1.0930 |
| No log | 0.9123 | 52 | 1.2044 | 0.4449 | 1.2044 | 1.0974 |
| No log | 0.9474 | 54 | 1.0905 | 0.5238 | 1.0905 | 1.0443 |
| No log | 0.9825 | 56 | 1.0562 | 0.4598 | 1.0562 | 1.0277 |
| No log | 1.0175 | 58 | 1.0554 | 0.4319 | 1.0554 | 1.0273 |
| No log | 1.0526 | 60 | 1.0033 | 0.5273 | 1.0033 | 1.0016 |
| No log | 1.0877 | 62 | 1.2033 | 0.3526 | 1.2033 | 1.0969 |
| No log | 1.1228 | 64 | 1.3664 | 0.2592 | 1.3664 | 1.1690 |
| No log | 1.1579 | 66 | 1.2987 | 0.2682 | 1.2987 | 1.1396 |
| No log | 1.1930 | 68 | 1.0575 | 0.4514 | 1.0575 | 1.0284 |
| No log | 1.2281 | 70 | 0.9775 | 0.4980 | 0.9775 | 0.9887 |
| No log | 1.2632 | 72 | 0.9833 | 0.4901 | 0.9833 | 0.9916 |
| No log | 1.2982 | 74 | 0.9579 | 0.4617 | 0.9579 | 0.9787 |
| No log | 1.3333 | 76 | 0.9904 | 0.5066 | 0.9904 | 0.9952 |
| No log | 1.3684 | 78 | 1.1125 | 0.4334 | 1.1125 | 1.0548 |
| No log | 1.4035 | 80 | 1.1606 | 0.3934 | 1.1606 | 1.0773 |
| No log | 1.4386 | 82 | 1.1454 | 0.4126 | 1.1454 | 1.0702 |
| No log | 1.4737 | 84 | 1.1550 | 0.4401 | 1.1550 | 1.0747 |
| No log | 1.5088 | 86 | 1.0881 | 0.5002 | 1.0881 | 1.0431 |
| No log | 1.5439 | 88 | 1.1197 | 0.5026 | 1.1197 | 1.0582 |
| No log | 1.5789 | 90 | 1.3791 | 0.4220 | 1.3791 | 1.1743 |
| No log | 1.6140 | 92 | 1.6311 | 0.3753 | 1.6311 | 1.2772 |
| No log | 1.6491 | 94 | 1.7659 | 0.3486 | 1.7659 | 1.3289 |
| No log | 1.6842 | 96 | 1.8010 | 0.3468 | 1.8010 | 1.3420 |
| No log | 1.7193 | 98 | 1.6804 | 0.3333 | 1.6804 | 1.2963 |
| No log | 1.7544 | 100 | 1.4475 | 0.3751 | 1.4475 | 1.2031 |
| No log | 1.7895 | 102 | 1.5378 | 0.3473 | 1.5378 | 1.2401 |
| No log | 1.8246 | 104 | 1.4140 | 0.3919 | 1.4140 | 1.1891 |
| No log | 1.8596 | 106 | 1.3074 | 0.4862 | 1.3074 | 1.1434 |
| No log | 1.8947 | 108 | 1.3441 | 0.4482 | 1.3441 | 1.1593 |
| No log | 1.9298 | 110 | 1.2587 | 0.4822 | 1.2587 | 1.1219 |
| No log | 1.9649 | 112 | 1.0786 | 0.5682 | 1.0786 | 1.0385 |
| No log | 2.0 | 114 | 1.0296 | 0.5570 | 1.0296 | 1.0147 |
| No log | 2.0351 | 116 | 1.1397 | 0.5342 | 1.1397 | 1.0676 |
| No log | 2.0702 | 118 | 1.1730 | 0.5224 | 1.1730 | 1.0830 |
| No log | 2.1053 | 120 | 1.1922 | 0.5290 | 1.1922 | 1.0919 |
| No log | 2.1404 | 122 | 1.1426 | 0.5465 | 1.1426 | 1.0689 |
| No log | 2.1754 | 124 | 0.9891 | 0.5824 | 0.9891 | 0.9945 |
| No log | 2.2105 | 126 | 1.0065 | 0.6119 | 1.0065 | 1.0032 |
| No log | 2.2456 | 128 | 1.1383 | 0.5813 | 1.1383 | 1.0669 |
| No log | 2.2807 | 130 | 1.1375 | 0.5863 | 1.1375 | 1.0665 |
| No log | 2.3158 | 132 | 0.9579 | 0.6620 | 0.9579 | 0.9787 |
| No log | 2.3509 | 134 | 0.8164 | 0.6366 | 0.8164 | 0.9036 |
| No log | 2.3860 | 136 | 0.7971 | 0.6317 | 0.7971 | 0.8928 |
| No log | 2.4211 | 138 | 0.8048 | 0.6405 | 0.8048 | 0.8971 |
| No log | 2.4561 | 140 | 0.9190 | 0.6392 | 0.9190 | 0.9586 |
| No log | 2.4912 | 142 | 1.0813 | 0.5869 | 1.0813 | 1.0399 |
| No log | 2.5263 | 144 | 1.0556 | 0.5950 | 1.0556 | 1.0274 |
| No log | 2.5614 | 146 | 0.9269 | 0.6369 | 0.9269 | 0.9628 |
| No log | 2.5965 | 148 | 0.7911 | 0.6443 | 0.7911 | 0.8894 |
| No log | 2.6316 | 150 | 0.7650 | 0.6473 | 0.7650 | 0.8746 |
| No log | 2.6667 | 152 | 0.7552 | 0.6483 | 0.7552 | 0.8690 |
| No log | 2.7018 | 154 | 0.7931 | 0.6776 | 0.7931 | 0.8906 |
| No log | 2.7368 | 156 | 0.9051 | 0.6703 | 0.9051 | 0.9514 |
| No log | 2.7719 | 158 | 0.8814 | 0.6802 | 0.8814 | 0.9388 |
| No log | 2.8070 | 160 | 0.7733 | 0.6859 | 0.7733 | 0.8794 |
| No log | 2.8421 | 162 | 0.6956 | 0.7139 | 0.6956 | 0.8340 |
| No log | 2.8772 | 164 | 0.6813 | 0.6815 | 0.6813 | 0.8254 |
| No log | 2.9123 | 166 | 0.7029 | 0.7380 | 0.7029 | 0.8384 |
| No log | 2.9474 | 168 | 0.8407 | 0.6554 | 0.8407 | 0.9169 |
| No log | 2.9825 | 170 | 1.2353 | 0.5974 | 1.2353 | 1.1114 |
| No log | 3.0175 | 172 | 1.4157 | 0.5747 | 1.4157 | 1.1898 |
| No log | 3.0526 | 174 | 1.3245 | 0.5806 | 1.3245 | 1.1509 |
| No log | 3.0877 | 176 | 1.0334 | 0.6300 | 1.0334 | 1.0166 |
| No log | 3.1228 | 178 | 0.8457 | 0.6679 | 0.8457 | 0.9196 |
| No log | 3.1579 | 180 | 0.7646 | 0.6767 | 0.7646 | 0.8744 |
| No log | 3.1930 | 182 | 0.7600 | 0.6804 | 0.7600 | 0.8718 |
| No log | 3.2281 | 184 | 0.7752 | 0.6705 | 0.7752 | 0.8805 |
| No log | 3.2632 | 186 | 0.7906 | 0.6433 | 0.7906 | 0.8892 |
| No log | 3.2982 | 188 | 0.8758 | 0.6326 | 0.8758 | 0.9358 |
| No log | 3.3333 | 190 | 1.0606 | 0.6464 | 1.0606 | 1.0298 |
| No log | 3.3684 | 192 | 1.1799 | 0.6367 | 1.1799 | 1.0862 |
| No log | 3.4035 | 194 | 1.1654 | 0.6293 | 1.1654 | 1.0795 |
| No log | 3.4386 | 196 | 0.9749 | 0.6821 | 0.9749 | 0.9874 |
| No log | 3.4737 | 198 | 0.8796 | 0.6922 | 0.8796 | 0.9379 |
| No log | 3.5088 | 200 | 0.7764 | 0.6648 | 0.7764 | 0.8811 |
| No log | 3.5439 | 202 | 0.7648 | 0.6611 | 0.7648 | 0.8745 |
| No log | 3.5789 | 204 | 0.8576 | 0.6714 | 0.8576 | 0.9260 |
| No log | 3.6140 | 206 | 0.9623 | 0.6555 | 0.9623 | 0.9810 |
| No log | 3.6491 | 208 | 1.1696 | 0.6280 | 1.1696 | 1.0815 |
| No log | 3.6842 | 210 | 1.1748 | 0.6338 | 1.1748 | 1.0839 |
| No log | 3.7193 | 212 | 0.9976 | 0.6412 | 0.9976 | 0.9988 |
| No log | 3.7544 | 214 | 0.8374 | 0.6949 | 0.8374 | 0.9151 |
| No log | 3.7895 | 216 | 0.7567 | 0.6343 | 0.7567 | 0.8699 |
| No log | 3.8246 | 218 | 0.7805 | 0.6371 | 0.7805 | 0.8834 |
| No log | 3.8596 | 220 | 0.7705 | 0.6259 | 0.7705 | 0.8778 |
| No log | 3.8947 | 222 | 0.7477 | 0.6564 | 0.7477 | 0.8647 |
| No log | 3.9298 | 224 | 0.8719 | 0.6573 | 0.8719 | 0.9338 |
| No log | 3.9649 | 226 | 1.1422 | 0.6282 | 1.1422 | 1.0687 |
| No log | 4.0 | 228 | 1.2403 | 0.6255 | 1.2403 | 1.1137 |
| No log | 4.0351 | 230 | 1.1202 | 0.6250 | 1.1202 | 1.0584 |
| No log | 4.0702 | 232 | 0.9070 | 0.6554 | 0.9070 | 0.9523 |
| No log | 4.1053 | 234 | 0.7249 | 0.6537 | 0.7249 | 0.8514 |
| No log | 4.1404 | 236 | 0.6873 | 0.6855 | 0.6873 | 0.8290 |
| No log | 4.1754 | 238 | 0.6979 | 0.6818 | 0.6979 | 0.8354 |
| No log | 4.2105 | 240 | 0.7610 | 0.6784 | 0.7610 | 0.8724 |
| No log | 4.2456 | 242 | 0.9322 | 0.6489 | 0.9322 | 0.9655 |
| No log | 4.2807 | 244 | 1.1720 | 0.6245 | 1.1720 | 1.0826 |
| No log | 4.3158 | 246 | 1.2132 | 0.6010 | 1.2132 | 1.1014 |
| No log | 4.3509 | 248 | 1.1644 | 0.6272 | 1.1644 | 1.0791 |
| No log | 4.3860 | 250 | 1.0822 | 0.6286 | 1.0822 | 1.0403 |
| No log | 4.4211 | 252 | 1.1257 | 0.6170 | 1.1257 | 1.0610 |
| No log | 4.4561 | 254 | 1.2304 | 0.6029 | 1.2304 | 1.1092 |
| No log | 4.4912 | 256 | 1.1911 | 0.6095 | 1.1911 | 1.0914 |
| No log | 4.5263 | 258 | 1.2228 | 0.6009 | 1.2228 | 1.1058 |
| No log | 4.5614 | 260 | 1.2233 | 0.5967 | 1.2233 | 1.1060 |
| No log | 4.5965 | 262 | 1.0785 | 0.6344 | 1.0785 | 1.0385 |
| No log | 4.6316 | 264 | 0.9806 | 0.6310 | 0.9806 | 0.9902 |
| No log | 4.6667 | 266 | 0.9026 | 0.6341 | 0.9026 | 0.9501 |
| No log | 4.7018 | 268 | 0.8212 | 0.6678 | 0.8212 | 0.9062 |
| No log | 4.7368 | 270 | 0.7739 | 0.6463 | 0.7739 | 0.8797 |
| No log | 4.7719 | 272 | 0.7925 | 0.6544 | 0.7925 | 0.8902 |
| No log | 4.8070 | 274 | 0.9028 | 0.6424 | 0.9028 | 0.9502 |
| No log | 4.8421 | 276 | 1.0634 | 0.6350 | 1.0634 | 1.0312 |
| No log | 4.8772 | 278 | 1.1742 | 0.6204 | 1.1742 | 1.0836 |
| No log | 4.9123 | 280 | 1.1211 | 0.6319 | 1.1211 | 1.0588 |
| No log | 4.9474 | 282 | 1.1023 | 0.6347 | 1.1023 | 1.0499 |
| No log | 4.9825 | 284 | 1.1260 | 0.6434 | 1.1260 | 1.0611 |
| No log | 5.0175 | 286 | 1.0574 | 0.6425 | 1.0574 | 1.0283 |
| No log | 5.0526 | 288 | 1.0202 | 0.6425 | 1.0202 | 1.0101 |
| No log | 5.0877 | 290 | 1.0196 | 0.6425 | 1.0196 | 1.0098 |
| No log | 5.1228 | 292 | 1.0394 | 0.6437 | 1.0394 | 1.0195 |
| No log | 5.1579 | 294 | 1.0848 | 0.6347 | 1.0848 | 1.0415 |
| No log | 5.1930 | 296 | 1.0778 | 0.6347 | 1.0778 | 1.0382 |
| No log | 5.2281 | 298 | 0.9947 | 0.6286 | 0.9947 | 0.9974 |
| No log | 5.2632 | 300 | 0.8547 | 0.6631 | 0.8547 | 0.9245 |
| No log | 5.2982 | 302 | 0.7636 | 0.6829 | 0.7636 | 0.8738 |
| No log | 5.3333 | 304 | 0.7581 | 0.6930 | 0.7581 | 0.8707 |
| No log | 5.3684 | 306 | 0.8053 | 0.6621 | 0.8053 | 0.8974 |
| No log | 5.4035 | 308 | 0.8915 | 0.6617 | 0.8915 | 0.9442 |
| No log | 5.4386 | 310 | 0.9771 | 0.6655 | 0.9771 | 0.9885 |
| No log | 5.4737 | 312 | 1.0145 | 0.6616 | 1.0145 | 1.0072 |
| No log | 5.5088 | 314 | 1.0224 | 0.6575 | 1.0224 | 1.0111 |
| No log | 5.5439 | 316 | 0.9702 | 0.6542 | 0.9702 | 0.9850 |
| No log | 5.5789 | 318 | 0.8754 | 0.6541 | 0.8754 | 0.9356 |
| No log | 5.6140 | 320 | 0.8490 | 0.6438 | 0.8490 | 0.9214 |
| No log | 5.6491 | 322 | 0.8630 | 0.6392 | 0.8630 | 0.9290 |
| No log | 5.6842 | 324 | 0.8944 | 0.6569 | 0.8944 | 0.9457 |
| No log | 5.7193 | 326 | 0.9712 | 0.6556 | 0.9712 | 0.9855 |
| No log | 5.7544 | 328 | 1.1024 | 0.6327 | 1.1024 | 1.0499 |
| No log | 5.7895 | 330 | 1.1728 | 0.6312 | 1.1728 | 1.0829 |
| No log | 5.8246 | 332 | 1.1177 | 0.6368 | 1.1177 | 1.0572 |
| No log | 5.8596 | 334 | 1.0048 | 0.6653 | 1.0048 | 1.0024 |
| No log | 5.8947 | 336 | 0.8614 | 0.6605 | 0.8614 | 0.9281 |
| No log | 5.9298 | 338 | 0.8071 | 0.6386 | 0.8071 | 0.8984 |
| No log | 5.9649 | 340 | 0.8036 | 0.6386 | 0.8036 | 0.8964 |
| No log | 6.0 | 342 | 0.8480 | 0.6633 | 0.8480 | 0.9208 |
| No log | 6.0351 | 344 | 0.9239 | 0.6467 | 0.9239 | 0.9612 |
| No log | 6.0702 | 346 | 0.9407 | 0.6687 | 0.9407 | 0.9699 |
| No log | 6.1053 | 348 | 0.9727 | 0.6600 | 0.9727 | 0.9863 |
| No log | 6.1404 | 350 | 0.9436 | 0.6723 | 0.9436 | 0.9714 |
| No log | 6.1754 | 352 | 0.9261 | 0.6634 | 0.9261 | 0.9623 |
| No log | 6.2105 | 354 | 0.9246 | 0.6634 | 0.9246 | 0.9615 |
| No log | 6.2456 | 356 | 0.8726 | 0.6560 | 0.8726 | 0.9341 |
| No log | 6.2807 | 358 | 0.8240 | 0.6294 | 0.8240 | 0.9077 |
| No log | 6.3158 | 360 | 0.8308 | 0.6413 | 0.8308 | 0.9115 |
| No log | 6.3509 | 362 | 0.8581 | 0.6571 | 0.8581 | 0.9263 |
| No log | 6.3860 | 364 | 0.9387 | 0.6705 | 0.9387 | 0.9689 |
| No log | 6.4211 | 366 | 1.0084 | 0.6402 | 1.0084 | 1.0042 |
| No log | 6.4561 | 368 | 1.0220 | 0.6492 | 1.0220 | 1.0110 |
| No log | 6.4912 | 370 | 1.0334 | 0.6492 | 1.0334 | 1.0166 |
| No log | 6.5263 | 372 | 0.9754 | 0.6585 | 0.9754 | 0.9876 |
| No log | 6.5614 | 374 | 0.8871 | 0.6526 | 0.8871 | 0.9419 |
| No log | 6.5965 | 376 | 0.8009 | 0.6569 | 0.8009 | 0.8949 |
| No log | 6.6316 | 378 | 0.7688 | 0.6781 | 0.7688 | 0.8768 |
| No log | 6.6667 | 380 | 0.7660 | 0.6781 | 0.7660 | 0.8752 |
| No log | 6.7018 | 382 | 0.7953 | 0.6659 | 0.7953 | 0.8918 |
| No log | 6.7368 | 384 | 0.8813 | 0.6526 | 0.8813 | 0.9388 |
| No log | 6.7719 | 386 | 0.9799 | 0.6372 | 0.9799 | 0.9899 |
| No log | 6.8070 | 388 | 1.0275 | 0.6300 | 1.0275 | 1.0137 |
| No log | 6.8421 | 390 | 1.0949 | 0.6305 | 1.0949 | 1.0464 |
| No log | 6.8772 | 392 | 1.0995 | 0.6347 | 1.0995 | 1.0486 |
| No log | 6.9123 | 394 | 1.0445 | 0.6286 | 1.0445 | 1.0220 |
| No log | 6.9474 | 396 | 0.9685 | 0.6418 | 0.9685 | 0.9841 |
| No log | 6.9825 | 398 | 0.9384 | 0.6521 | 0.9384 | 0.9687 |
| No log | 7.0175 | 400 | 0.9092 | 0.6521 | 0.9092 | 0.9535 |
| No log | 7.0526 | 402 | 0.8804 | 0.6365 | 0.8804 | 0.9383 |
| No log | 7.0877 | 404 | 0.8921 | 0.6365 | 0.8921 | 0.9445 |
| No log | 7.1228 | 406 | 0.8878 | 0.6365 | 0.8878 | 0.9422 |
| No log | 7.1579 | 408 | 0.8991 | 0.6521 | 0.8991 | 0.9482 |
| No log | 7.1930 | 410 | 0.9053 | 0.6477 | 0.9053 | 0.9515 |
| No log | 7.2281 | 412 | 0.9058 | 0.6477 | 0.9058 | 0.9518 |
| No log | 7.2632 | 414 | 0.8842 | 0.6697 | 0.8842 | 0.9403 |
| No log | 7.2982 | 416 | 0.8660 | 0.6634 | 0.8660 | 0.9306 |
| No log | 7.3333 | 418 | 0.8523 | 0.6616 | 0.8523 | 0.9232 |
| No log | 7.3684 | 420 | 0.8490 | 0.6616 | 0.8490 | 0.9214 |
| No log | 7.4035 | 422 | 0.8730 | 0.6554 | 0.8730 | 0.9344 |
| No log | 7.4386 | 424 | 0.9096 | 0.6590 | 0.9096 | 0.9537 |
| No log | 7.4737 | 426 | 0.9062 | 0.6369 | 0.9062 | 0.9519 |
| No log | 7.5088 | 428 | 0.8942 | 0.6369 | 0.8942 | 0.9456 |
| No log | 7.5439 | 430 | 0.8875 | 0.6325 | 0.8875 | 0.9421 |
| No log | 7.5789 | 432 | 0.8763 | 0.6465 | 0.8763 | 0.9361 |
| No log | 7.6140 | 434 | 0.9049 | 0.6325 | 0.9049 | 0.9512 |
| No log | 7.6491 | 436 | 0.9510 | 0.6480 | 0.9510 | 0.9752 |
| No log | 7.6842 | 438 | 0.9647 | 0.6492 | 0.9647 | 0.9822 |
| No log | 7.7193 | 440 | 0.9868 | 0.6526 | 0.9868 | 0.9934 |
| No log | 7.7544 | 442 | 0.9922 | 0.6476 | 0.9922 | 0.9961 |
| No log | 7.7895 | 444 | 0.9872 | 0.6476 | 0.9872 | 0.9936 |
| No log | 7.8246 | 446 | 0.9622 | 0.6480 | 0.9622 | 0.9809 |
| No log | 7.8596 | 448 | 0.9261 | 0.6389 | 0.9261 | 0.9623 |
| No log | 7.8947 | 450 | 0.8883 | 0.6369 | 0.8883 | 0.9425 |
| No log | 7.9298 | 452 | 0.8739 | 0.6430 | 0.8739 | 0.9348 |
| No log | 7.9649 | 454 | 0.8683 | 0.6482 | 0.8683 | 0.9318 |
| No log | 8.0 | 456 | 0.8768 | 0.6325 | 0.8768 | 0.9364 |
| No log | 8.0351 | 458 | 0.8794 | 0.6325 | 0.8794 | 0.9377 |
| No log | 8.0702 | 460 | 0.8977 | 0.6325 | 0.8977 | 0.9474 |
| No log | 8.1053 | 462 | 0.9440 | 0.6424 | 0.9440 | 0.9716 |
| No log | 8.1404 | 464 | 0.9924 | 0.6499 | 0.9924 | 0.9962 |
| No log | 8.1754 | 466 | 1.0109 | 0.6468 | 1.0109 | 1.0054 |
| No log | 8.2105 | 468 | 1.0210 | 0.6468 | 1.0210 | 1.0104 |
| No log | 8.2456 | 470 | 0.9891 | 0.6510 | 0.9891 | 0.9945 |
| No log | 8.2807 | 472 | 0.9435 | 0.6360 | 0.9435 | 0.9714 |
| No log | 8.3158 | 474 | 0.9122 | 0.6369 | 0.9122 | 0.9551 |
| No log | 8.3509 | 476 | 0.8701 | 0.6679 | 0.8701 | 0.9328 |
| No log | 8.3860 | 478 | 0.8230 | 0.6867 | 0.8230 | 0.9072 |
| No log | 8.4211 | 480 | 0.8034 | 0.6778 | 0.8034 | 0.8963 |
| No log | 8.4561 | 482 | 0.8015 | 0.6778 | 0.8015 | 0.8953 |
| No log | 8.4912 | 484 | 0.8067 | 0.6867 | 0.8067 | 0.8982 |
| No log | 8.5263 | 486 | 0.8293 | 0.6929 | 0.8293 | 0.9106 |
| No log | 8.5614 | 488 | 0.8565 | 0.6705 | 0.8565 | 0.9255 |
| No log | 8.5965 | 490 | 0.8872 | 0.6435 | 0.8872 | 0.9419 |
| No log | 8.6316 | 492 | 0.9372 | 0.6505 | 0.9372 | 0.9681 |
| No log | 8.6667 | 494 | 0.9645 | 0.6387 | 0.9645 | 0.9821 |
| No log | 8.7018 | 496 | 0.9730 | 0.6385 | 0.9730 | 0.9864 |
| No log | 8.7368 | 498 | 0.9592 | 0.6508 | 0.9592 | 0.9794 |
| 0.3194 | 8.7719 | 500 | 0.9378 | 0.6619 | 0.9378 | 0.9684 |
| 0.3194 | 8.8070 | 502 | 0.9072 | 0.6538 | 0.9072 | 0.9525 |
| 0.3194 | 8.8421 | 504 | 0.8821 | 0.6502 | 0.8821 | 0.9392 |
| 0.3194 | 8.8772 | 506 | 0.8626 | 0.6546 | 0.8626 | 0.9288 |
| 0.3194 | 8.9123 | 508 | 0.8448 | 0.6597 | 0.8448 | 0.9192 |
| 0.3194 | 8.9474 | 510 | 0.8465 | 0.6499 | 0.8465 | 0.9201 |
| 0.3194 | 8.9825 | 512 | 0.8512 | 0.6563 | 0.8512 | 0.9226 |
| 0.3194 | 9.0175 | 514 | 0.8659 | 0.6546 | 0.8659 | 0.9305 |
| 0.3194 | 9.0526 | 516 | 0.8754 | 0.6502 | 0.8754 | 0.9356 |
| 0.3194 | 9.0877 | 518 | 0.8872 | 0.6592 | 0.8872 | 0.9419 |
| 0.3194 | 9.1228 | 520 | 0.8860 | 0.6592 | 0.8860 | 0.9413 |
| 0.3194 | 9.1579 | 522 | 0.8741 | 0.6502 | 0.8741 | 0.9349 |
| 0.3194 | 9.1930 | 524 | 0.8653 | 0.6518 | 0.8653 | 0.9302 |
| 0.3194 | 9.2281 | 526 | 0.8657 | 0.6518 | 0.8657 | 0.9305 |
| 0.3194 | 9.2632 | 528 | 0.8754 | 0.6502 | 0.8754 | 0.9356 |
| 0.3194 | 9.2982 | 530 | 0.8762 | 0.6502 | 0.8762 | 0.9361 |
| 0.3194 | 9.3333 | 532 | 0.8832 | 0.6502 | 0.8832 | 0.9398 |
| 0.3194 | 9.3684 | 534 | 0.8883 | 0.6502 | 0.8883 | 0.9425 |
| 0.3194 | 9.4035 | 536 | 0.8843 | 0.6502 | 0.8843 | 0.9404 |
| 0.3194 | 9.4386 | 538 | 0.8809 | 0.6502 | 0.8809 | 0.9386 |
| 0.3194 | 9.4737 | 540 | 0.8784 | 0.6502 | 0.8784 | 0.9372 |
| 0.3194 | 9.5088 | 542 | 0.8734 | 0.6502 | 0.8734 | 0.9345 |
| 0.3194 | 9.5439 | 544 | 0.8672 | 0.6518 | 0.8672 | 0.9313 |
| 0.3194 | 9.5789 | 546 | 0.8648 | 0.6518 | 0.8648 | 0.9299 |
| 0.3194 | 9.6140 | 548 | 0.8600 | 0.6518 | 0.8600 | 0.9274 |
| 0.3194 | 9.6491 | 550 | 0.8576 | 0.6518 | 0.8576 | 0.9261 |
| 0.3194 | 9.6842 | 552 | 0.8589 | 0.6518 | 0.8589 | 0.9268 |
| 0.3194 | 9.7193 | 554 | 0.8618 | 0.6502 | 0.8618 | 0.9283 |
| 0.3194 | 9.7544 | 556 | 0.8622 | 0.6502 | 0.8622 | 0.9285 |
| 0.3194 | 9.7895 | 558 | 0.8586 | 0.6502 | 0.8586 | 0.9266 |
| 0.3194 | 9.8246 | 560 | 0.8557 | 0.6502 | 0.8557 | 0.9251 |
| 0.3194 | 9.8596 | 562 | 0.8550 | 0.6502 | 0.8550 | 0.9246 |
| 0.3194 | 9.8947 | 564 | 0.8544 | 0.6518 | 0.8544 | 0.9243 |
| 0.3194 | 9.9298 | 566 | 0.8539 | 0.6518 | 0.8539 | 0.9241 |
| 0.3194 | 9.9649 | 568 | 0.8538 | 0.6518 | 0.8538 | 0.9240 |
| 0.3194 | 10.0 | 570 | 0.8535 | 0.6518 | 0.8535 | 0.9238 |
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/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k12_task5_organization
Base model
aubmindlab/bert-base-arabertv02