Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k11_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k11_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k11_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k11_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k11_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k11_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: 1.0222
- Qwk: 0.6335
- Mse: 1.0222
- Rmse: 1.0111
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 | 0.0377 | 2 | 2.3316 | 0.0077 | 2.3316 | 1.5270 |
| No log | 0.0755 | 4 | 1.6751 | 0.1489 | 1.6751 | 1.2943 |
| No log | 0.1132 | 6 | 1.6469 | 0.0324 | 1.6469 | 1.2833 |
| No log | 0.1509 | 8 | 1.5856 | 0.1838 | 1.5856 | 1.2592 |
| No log | 0.1887 | 10 | 1.4754 | 0.1466 | 1.4754 | 1.2147 |
| No log | 0.2264 | 12 | 1.3812 | 0.1952 | 1.3812 | 1.1753 |
| No log | 0.2642 | 14 | 1.3660 | 0.1921 | 1.3660 | 1.1688 |
| No log | 0.3019 | 16 | 1.3758 | 0.1608 | 1.3758 | 1.1730 |
| No log | 0.3396 | 18 | 1.4226 | 0.1128 | 1.4226 | 1.1927 |
| No log | 0.3774 | 20 | 1.4571 | 0.1381 | 1.4571 | 1.2071 |
| No log | 0.4151 | 22 | 1.4981 | 0.1107 | 1.4981 | 1.2240 |
| No log | 0.4528 | 24 | 1.4793 | 0.1107 | 1.4793 | 1.2163 |
| No log | 0.4906 | 26 | 1.3914 | 0.1675 | 1.3914 | 1.1796 |
| No log | 0.5283 | 28 | 1.3246 | 0.1740 | 1.3246 | 1.1509 |
| No log | 0.5660 | 30 | 1.3019 | 0.2180 | 1.3019 | 1.1410 |
| No log | 0.6038 | 32 | 1.2756 | 0.2459 | 1.2756 | 1.1294 |
| No log | 0.6415 | 34 | 1.2492 | 0.2459 | 1.2492 | 1.1177 |
| No log | 0.6792 | 36 | 1.2356 | 0.2886 | 1.2356 | 1.1116 |
| No log | 0.7170 | 38 | 1.2489 | 0.3024 | 1.2489 | 1.1176 |
| No log | 0.7547 | 40 | 1.2542 | 0.2772 | 1.2542 | 1.1199 |
| No log | 0.7925 | 42 | 1.2376 | 0.2388 | 1.2376 | 1.1125 |
| No log | 0.8302 | 44 | 1.2600 | 0.2481 | 1.2600 | 1.1225 |
| No log | 0.8679 | 46 | 1.2583 | 0.3066 | 1.2583 | 1.1217 |
| No log | 0.9057 | 48 | 1.2487 | 0.3541 | 1.2487 | 1.1175 |
| No log | 0.9434 | 50 | 1.2281 | 0.3798 | 1.2281 | 1.1082 |
| No log | 0.9811 | 52 | 1.2014 | 0.3569 | 1.2014 | 1.0961 |
| No log | 1.0189 | 54 | 1.2116 | 0.3831 | 1.2116 | 1.1007 |
| No log | 1.0566 | 56 | 1.2406 | 0.3192 | 1.2406 | 1.1138 |
| No log | 1.0943 | 58 | 1.1894 | 0.4018 | 1.1894 | 1.0906 |
| No log | 1.1321 | 60 | 1.1550 | 0.3483 | 1.1550 | 1.0747 |
| No log | 1.1698 | 62 | 1.1423 | 0.3723 | 1.1423 | 1.0688 |
| No log | 1.2075 | 64 | 1.1379 | 0.3441 | 1.1379 | 1.0667 |
| No log | 1.2453 | 66 | 1.1624 | 0.2966 | 1.1624 | 1.0782 |
| No log | 1.2830 | 68 | 1.1656 | 0.2668 | 1.1656 | 1.0796 |
| No log | 1.3208 | 70 | 1.1524 | 0.2424 | 1.1524 | 1.0735 |
| No log | 1.3585 | 72 | 1.1528 | 0.3093 | 1.1528 | 1.0737 |
| No log | 1.3962 | 74 | 1.1340 | 0.2859 | 1.1340 | 1.0649 |
| No log | 1.4340 | 76 | 1.1314 | 0.2530 | 1.1314 | 1.0637 |
| No log | 1.4717 | 78 | 1.1127 | 0.2530 | 1.1127 | 1.0548 |
| No log | 1.5094 | 80 | 1.0757 | 0.2945 | 1.0757 | 1.0372 |
| No log | 1.5472 | 82 | 1.0447 | 0.3881 | 1.0447 | 1.0221 |
| No log | 1.5849 | 84 | 1.0206 | 0.5241 | 1.0206 | 1.0102 |
| No log | 1.6226 | 86 | 1.0300 | 0.4529 | 1.0300 | 1.0149 |
| No log | 1.6604 | 88 | 1.0167 | 0.4350 | 1.0167 | 1.0083 |
| No log | 1.6981 | 90 | 1.0122 | 0.4492 | 1.0122 | 1.0061 |
| No log | 1.7358 | 92 | 1.0076 | 0.4850 | 1.0076 | 1.0038 |
| No log | 1.7736 | 94 | 1.0314 | 0.4980 | 1.0314 | 1.0156 |
| No log | 1.8113 | 96 | 1.0347 | 0.4663 | 1.0347 | 1.0172 |
| No log | 1.8491 | 98 | 1.0830 | 0.4353 | 1.0830 | 1.0407 |
| No log | 1.8868 | 100 | 1.0665 | 0.4445 | 1.0665 | 1.0327 |
| No log | 1.9245 | 102 | 1.0077 | 0.4753 | 1.0077 | 1.0039 |
| No log | 1.9623 | 104 | 0.9634 | 0.5226 | 0.9634 | 0.9815 |
| No log | 2.0 | 106 | 0.9686 | 0.4938 | 0.9686 | 0.9842 |
| No log | 2.0377 | 108 | 0.9831 | 0.4677 | 0.9831 | 0.9915 |
| No log | 2.0755 | 110 | 1.0866 | 0.4807 | 1.0866 | 1.0424 |
| No log | 2.1132 | 112 | 1.0946 | 0.5183 | 1.0946 | 1.0462 |
| No log | 2.1509 | 114 | 0.9635 | 0.5073 | 0.9635 | 0.9816 |
| No log | 2.1887 | 116 | 0.9414 | 0.5605 | 0.9414 | 0.9702 |
| No log | 2.2264 | 118 | 0.9742 | 0.5259 | 0.9742 | 0.9870 |
| No log | 2.2642 | 120 | 0.9299 | 0.5664 | 0.9299 | 0.9643 |
| No log | 2.3019 | 122 | 0.8985 | 0.5342 | 0.8985 | 0.9479 |
| No log | 2.3396 | 124 | 0.9646 | 0.5147 | 0.9646 | 0.9821 |
| No log | 2.3774 | 126 | 1.1810 | 0.4863 | 1.1810 | 1.0868 |
| No log | 2.4151 | 128 | 1.3138 | 0.4783 | 1.3138 | 1.1462 |
| No log | 2.4528 | 130 | 1.2498 | 0.5114 | 1.2498 | 1.1180 |
| No log | 2.4906 | 132 | 1.1652 | 0.5309 | 1.1652 | 1.0795 |
| No log | 2.5283 | 134 | 1.0451 | 0.5142 | 1.0451 | 1.0223 |
| No log | 2.5660 | 136 | 0.9641 | 0.5122 | 0.9641 | 0.9819 |
| No log | 2.6038 | 138 | 0.9706 | 0.4916 | 0.9706 | 0.9852 |
| No log | 2.6415 | 140 | 0.9400 | 0.5015 | 0.9400 | 0.9695 |
| No log | 2.6792 | 142 | 0.9622 | 0.5459 | 0.9622 | 0.9809 |
| No log | 2.7170 | 144 | 1.0441 | 0.5516 | 1.0441 | 1.0218 |
| No log | 2.7547 | 146 | 1.1112 | 0.5860 | 1.1112 | 1.0541 |
| No log | 2.7925 | 148 | 1.0172 | 0.6050 | 1.0172 | 1.0085 |
| No log | 2.8302 | 150 | 0.9663 | 0.6158 | 0.9663 | 0.9830 |
| No log | 2.8679 | 152 | 1.0168 | 0.5764 | 1.0168 | 1.0084 |
| No log | 2.9057 | 154 | 0.9929 | 0.5909 | 0.9929 | 0.9964 |
| No log | 2.9434 | 156 | 1.0130 | 0.5729 | 1.0130 | 1.0065 |
| No log | 2.9811 | 158 | 1.1386 | 0.5690 | 1.1386 | 1.0670 |
| No log | 3.0189 | 160 | 1.2433 | 0.5725 | 1.2433 | 1.1150 |
| No log | 3.0566 | 162 | 1.4297 | 0.5344 | 1.4297 | 1.1957 |
| No log | 3.0943 | 164 | 1.3745 | 0.5328 | 1.3745 | 1.1724 |
| No log | 3.1321 | 166 | 1.1660 | 0.5288 | 1.1660 | 1.0798 |
| No log | 3.1698 | 168 | 0.9947 | 0.5348 | 0.9947 | 0.9974 |
| No log | 3.2075 | 170 | 0.8956 | 0.5285 | 0.8956 | 0.9463 |
| No log | 3.2453 | 172 | 0.9180 | 0.5397 | 0.9180 | 0.9581 |
| No log | 3.2830 | 174 | 1.0893 | 0.5324 | 1.0893 | 1.0437 |
| No log | 3.3208 | 176 | 1.1898 | 0.5593 | 1.1898 | 1.0908 |
| No log | 3.3585 | 178 | 1.1965 | 0.5744 | 1.1965 | 1.0938 |
| No log | 3.3962 | 180 | 1.0322 | 0.6026 | 1.0322 | 1.0160 |
| No log | 3.4340 | 182 | 0.9590 | 0.6362 | 0.9590 | 0.9793 |
| No log | 3.4717 | 184 | 0.9889 | 0.6296 | 0.9889 | 0.9944 |
| No log | 3.5094 | 186 | 1.1318 | 0.6046 | 1.1318 | 1.0639 |
| No log | 3.5472 | 188 | 1.1429 | 0.6006 | 1.1429 | 1.0691 |
| No log | 3.5849 | 190 | 1.0712 | 0.6106 | 1.0712 | 1.0350 |
| No log | 3.6226 | 192 | 1.0458 | 0.6270 | 1.0458 | 1.0226 |
| No log | 3.6604 | 194 | 1.1257 | 0.5980 | 1.1257 | 1.0610 |
| No log | 3.6981 | 196 | 1.1001 | 0.5956 | 1.1001 | 1.0489 |
| No log | 3.7358 | 198 | 1.0994 | 0.5937 | 1.0994 | 1.0485 |
| No log | 3.7736 | 200 | 1.1601 | 0.6011 | 1.1601 | 1.0771 |
| No log | 3.8113 | 202 | 1.0524 | 0.6294 | 1.0524 | 1.0258 |
| No log | 3.8491 | 204 | 0.9213 | 0.5994 | 0.9213 | 0.9598 |
| No log | 3.8868 | 206 | 0.9380 | 0.5909 | 0.9380 | 0.9685 |
| No log | 3.9245 | 208 | 0.9455 | 0.5886 | 0.9455 | 0.9723 |
| No log | 3.9623 | 210 | 1.0397 | 0.6431 | 1.0397 | 1.0197 |
| No log | 4.0 | 212 | 0.9882 | 0.6275 | 0.9882 | 0.9941 |
| No log | 4.0377 | 214 | 1.0307 | 0.6187 | 1.0307 | 1.0152 |
| No log | 4.0755 | 216 | 0.9702 | 0.6163 | 0.9702 | 0.9850 |
| No log | 4.1132 | 218 | 0.9857 | 0.5982 | 0.9857 | 0.9928 |
| No log | 4.1509 | 220 | 0.9811 | 0.5930 | 0.9811 | 0.9905 |
| No log | 4.1887 | 222 | 0.9771 | 0.6119 | 0.9771 | 0.9885 |
| No log | 4.2264 | 224 | 0.9485 | 0.6065 | 0.9485 | 0.9739 |
| No log | 4.2642 | 226 | 0.8932 | 0.5894 | 0.8932 | 0.9451 |
| No log | 4.3019 | 228 | 0.9310 | 0.6115 | 0.9310 | 0.9649 |
| No log | 4.3396 | 230 | 0.9370 | 0.6359 | 0.9370 | 0.9680 |
| No log | 4.3774 | 232 | 0.9826 | 0.6370 | 0.9826 | 0.9913 |
| No log | 4.4151 | 234 | 0.9556 | 0.6427 | 0.9556 | 0.9775 |
| No log | 4.4528 | 236 | 0.9900 | 0.6234 | 0.9900 | 0.9950 |
| No log | 4.4906 | 238 | 0.9365 | 0.6312 | 0.9365 | 0.9678 |
| No log | 4.5283 | 240 | 0.8282 | 0.6711 | 0.8282 | 0.9100 |
| No log | 4.5660 | 242 | 0.7684 | 0.6468 | 0.7684 | 0.8766 |
| No log | 4.6038 | 244 | 0.7824 | 0.6874 | 0.7824 | 0.8845 |
| No log | 4.6415 | 246 | 0.9061 | 0.6417 | 0.9061 | 0.9519 |
| No log | 4.6792 | 248 | 1.2023 | 0.6124 | 1.2023 | 1.0965 |
| No log | 4.7170 | 250 | 1.4086 | 0.5570 | 1.4086 | 1.1869 |
| No log | 4.7547 | 252 | 1.3357 | 0.5604 | 1.3357 | 1.1557 |
| No log | 4.7925 | 254 | 1.1439 | 0.5765 | 1.1439 | 1.0695 |
| No log | 4.8302 | 256 | 0.9967 | 0.6385 | 0.9967 | 0.9984 |
| No log | 4.8679 | 258 | 0.8909 | 0.6406 | 0.8909 | 0.9439 |
| No log | 4.9057 | 260 | 0.8979 | 0.6410 | 0.8979 | 0.9476 |
| No log | 4.9434 | 262 | 1.0241 | 0.6286 | 1.0241 | 1.0120 |
| No log | 4.9811 | 264 | 1.2708 | 0.5887 | 1.2708 | 1.1273 |
| No log | 5.0189 | 266 | 1.4567 | 0.5052 | 1.4567 | 1.2069 |
| No log | 5.0566 | 268 | 1.3809 | 0.5042 | 1.3809 | 1.1751 |
| No log | 5.0943 | 270 | 1.2070 | 0.5138 | 1.2070 | 1.0986 |
| No log | 5.1321 | 272 | 1.0432 | 0.5624 | 1.0432 | 1.0214 |
| No log | 5.1698 | 274 | 0.9160 | 0.5745 | 0.9160 | 0.9571 |
| No log | 5.2075 | 276 | 0.9070 | 0.5745 | 0.9070 | 0.9524 |
| No log | 5.2453 | 278 | 0.8846 | 0.5913 | 0.8846 | 0.9405 |
| No log | 5.2830 | 280 | 0.9094 | 0.6025 | 0.9094 | 0.9536 |
| No log | 5.3208 | 282 | 0.9651 | 0.6097 | 0.9651 | 0.9824 |
| No log | 5.3585 | 284 | 0.9517 | 0.6126 | 0.9517 | 0.9756 |
| No log | 5.3962 | 286 | 0.9462 | 0.6017 | 0.9462 | 0.9727 |
| No log | 5.4340 | 288 | 0.9631 | 0.6225 | 0.9631 | 0.9814 |
| No log | 5.4717 | 290 | 0.9504 | 0.6097 | 0.9504 | 0.9749 |
| No log | 5.5094 | 292 | 0.9144 | 0.6207 | 0.9144 | 0.9562 |
| No log | 5.5472 | 294 | 0.9920 | 0.6311 | 0.9920 | 0.9960 |
| No log | 5.5849 | 296 | 1.0666 | 0.5972 | 1.0666 | 1.0328 |
| No log | 5.6226 | 298 | 1.1454 | 0.6101 | 1.1454 | 1.0702 |
| No log | 5.6604 | 300 | 1.1026 | 0.6153 | 1.1026 | 1.0501 |
| No log | 5.6981 | 302 | 1.1239 | 0.6168 | 1.1239 | 1.0602 |
| No log | 5.7358 | 304 | 1.1710 | 0.6125 | 1.1710 | 1.0821 |
| No log | 5.7736 | 306 | 1.1175 | 0.6338 | 1.1175 | 1.0571 |
| No log | 5.8113 | 308 | 1.0007 | 0.6257 | 1.0007 | 1.0004 |
| No log | 5.8491 | 310 | 0.9445 | 0.6605 | 0.9445 | 0.9719 |
| No log | 5.8868 | 312 | 0.9673 | 0.6451 | 0.9673 | 0.9835 |
| No log | 5.9245 | 314 | 1.0453 | 0.6253 | 1.0453 | 1.0224 |
| No log | 5.9623 | 316 | 1.1228 | 0.6002 | 1.1228 | 1.0596 |
| No log | 6.0 | 318 | 1.2747 | 0.5758 | 1.2747 | 1.1290 |
| No log | 6.0377 | 320 | 1.3309 | 0.5610 | 1.3309 | 1.1536 |
| No log | 6.0755 | 322 | 1.2957 | 0.5610 | 1.2957 | 1.1383 |
| No log | 6.1132 | 324 | 1.2066 | 0.5887 | 1.2066 | 1.0984 |
| No log | 6.1509 | 326 | 1.0986 | 0.6049 | 1.0986 | 1.0482 |
| No log | 6.1887 | 328 | 1.0364 | 0.6128 | 1.0364 | 1.0180 |
| No log | 6.2264 | 330 | 0.9671 | 0.6385 | 0.9671 | 0.9834 |
| No log | 6.2642 | 332 | 0.9018 | 0.6548 | 0.9018 | 0.9496 |
| No log | 6.3019 | 334 | 0.9309 | 0.6505 | 0.9309 | 0.9648 |
| No log | 6.3396 | 336 | 1.0042 | 0.6368 | 1.0042 | 1.0021 |
| No log | 6.3774 | 338 | 1.0577 | 0.6413 | 1.0577 | 1.0284 |
| No log | 6.4151 | 340 | 1.0236 | 0.6327 | 1.0236 | 1.0118 |
| No log | 6.4528 | 342 | 0.9550 | 0.6275 | 0.9550 | 0.9772 |
| No log | 6.4906 | 344 | 0.8921 | 0.6422 | 0.8921 | 0.9445 |
| No log | 6.5283 | 346 | 0.8492 | 0.6414 | 0.8492 | 0.9215 |
| No log | 6.5660 | 348 | 0.8787 | 0.6350 | 0.8787 | 0.9374 |
| No log | 6.6038 | 350 | 0.9530 | 0.6289 | 0.9530 | 0.9762 |
| No log | 6.6415 | 352 | 1.0474 | 0.6230 | 1.0474 | 1.0234 |
| No log | 6.6792 | 354 | 1.0738 | 0.6128 | 1.0738 | 1.0362 |
| No log | 6.7170 | 356 | 1.1143 | 0.5976 | 1.1143 | 1.0556 |
| No log | 6.7547 | 358 | 1.1574 | 0.5767 | 1.1574 | 1.0758 |
| No log | 6.7925 | 360 | 1.1644 | 0.5767 | 1.1644 | 1.0791 |
| No log | 6.8302 | 362 | 1.0890 | 0.5988 | 1.0890 | 1.0436 |
| No log | 6.8679 | 364 | 1.0304 | 0.6067 | 1.0304 | 1.0151 |
| No log | 6.9057 | 366 | 1.0187 | 0.6067 | 1.0187 | 1.0093 |
| No log | 6.9434 | 368 | 1.0162 | 0.6023 | 1.0162 | 1.0081 |
| No log | 6.9811 | 370 | 1.0105 | 0.6067 | 1.0105 | 1.0053 |
| No log | 7.0189 | 372 | 1.0230 | 0.6084 | 1.0230 | 1.0114 |
| No log | 7.0566 | 374 | 1.0296 | 0.6041 | 1.0296 | 1.0147 |
| No log | 7.0943 | 376 | 1.0547 | 0.6041 | 1.0547 | 1.0270 |
| No log | 7.1321 | 378 | 1.0202 | 0.6067 | 1.0202 | 1.0101 |
| No log | 7.1698 | 380 | 0.9920 | 0.6158 | 0.9920 | 0.9960 |
| No log | 7.2075 | 382 | 1.0107 | 0.6158 | 1.0107 | 1.0053 |
| No log | 7.2453 | 384 | 1.0049 | 0.6093 | 1.0049 | 1.0025 |
| No log | 7.2830 | 386 | 0.9907 | 0.6027 | 0.9907 | 0.9954 |
| No log | 7.3208 | 388 | 1.0239 | 0.6158 | 1.0239 | 1.0119 |
| No log | 7.3585 | 390 | 1.0324 | 0.6356 | 1.0324 | 1.0161 |
| No log | 7.3962 | 392 | 1.0410 | 0.6174 | 1.0410 | 1.0203 |
| No log | 7.4340 | 394 | 1.0737 | 0.6032 | 1.0737 | 1.0362 |
| No log | 7.4717 | 396 | 1.1458 | 0.6040 | 1.1458 | 1.0704 |
| No log | 7.5094 | 398 | 1.2122 | 0.5933 | 1.2122 | 1.1010 |
| No log | 7.5472 | 400 | 1.2540 | 0.5688 | 1.2540 | 1.1198 |
| No log | 7.5849 | 402 | 1.2007 | 0.5982 | 1.2007 | 1.0958 |
| No log | 7.6226 | 404 | 1.0867 | 0.5980 | 1.0867 | 1.0425 |
| No log | 7.6604 | 406 | 0.9868 | 0.6228 | 0.9868 | 0.9934 |
| No log | 7.6981 | 408 | 0.9410 | 0.6439 | 0.9410 | 0.9700 |
| No log | 7.7358 | 410 | 0.9492 | 0.6439 | 0.9492 | 0.9743 |
| No log | 7.7736 | 412 | 0.9834 | 0.6415 | 0.9834 | 0.9917 |
| No log | 7.8113 | 414 | 1.0582 | 0.6252 | 1.0582 | 1.0287 |
| No log | 7.8491 | 416 | 1.1192 | 0.6054 | 1.1192 | 1.0579 |
| No log | 7.8868 | 418 | 1.1507 | 0.5921 | 1.1507 | 1.0727 |
| No log | 7.9245 | 420 | 1.1291 | 0.5949 | 1.1291 | 1.0626 |
| No log | 7.9623 | 422 | 1.0903 | 0.5909 | 1.0903 | 1.0442 |
| No log | 8.0 | 424 | 1.0644 | 0.5952 | 1.0644 | 1.0317 |
| No log | 8.0377 | 426 | 1.0007 | 0.6225 | 1.0007 | 1.0003 |
| No log | 8.0755 | 428 | 0.9702 | 0.6269 | 0.9702 | 0.9850 |
| No log | 8.1132 | 430 | 0.9722 | 0.6269 | 0.9722 | 0.9860 |
| No log | 8.1509 | 432 | 0.9792 | 0.6269 | 0.9792 | 0.9895 |
| No log | 8.1887 | 434 | 1.0004 | 0.6197 | 1.0004 | 1.0002 |
| No log | 8.2264 | 436 | 1.0534 | 0.6179 | 1.0534 | 1.0263 |
| No log | 8.2642 | 438 | 1.0954 | 0.5899 | 1.0954 | 1.0466 |
| No log | 8.3019 | 440 | 1.1105 | 0.5919 | 1.1105 | 1.0538 |
| No log | 8.3396 | 442 | 1.0899 | 0.5899 | 1.0899 | 1.0440 |
| No log | 8.3774 | 444 | 1.0686 | 0.5953 | 1.0686 | 1.0337 |
| No log | 8.4151 | 446 | 1.0541 | 0.5851 | 1.0541 | 1.0267 |
| No log | 8.4528 | 448 | 1.0017 | 0.6293 | 1.0017 | 1.0009 |
| No log | 8.4906 | 450 | 0.9575 | 0.6259 | 0.9575 | 0.9785 |
| No log | 8.5283 | 452 | 0.9332 | 0.6459 | 0.9332 | 0.9660 |
| No log | 8.5660 | 454 | 0.9203 | 0.6459 | 0.9203 | 0.9593 |
| No log | 8.6038 | 456 | 0.9415 | 0.6471 | 0.9415 | 0.9703 |
| No log | 8.6415 | 458 | 0.9706 | 0.6330 | 0.9706 | 0.9852 |
| No log | 8.6792 | 460 | 0.9939 | 0.6548 | 0.9939 | 0.9969 |
| No log | 8.7170 | 462 | 1.0392 | 0.6330 | 1.0392 | 1.0194 |
| No log | 8.7547 | 464 | 1.0680 | 0.6221 | 1.0680 | 1.0335 |
| No log | 8.7925 | 466 | 1.0701 | 0.6221 | 1.0701 | 1.0345 |
| No log | 8.8302 | 468 | 1.0401 | 0.6362 | 1.0401 | 1.0199 |
| No log | 8.8679 | 470 | 0.9994 | 0.6672 | 0.9994 | 0.9997 |
| No log | 8.9057 | 472 | 0.9896 | 0.6587 | 0.9896 | 0.9948 |
| No log | 8.9434 | 474 | 0.9742 | 0.6587 | 0.9742 | 0.9870 |
| No log | 8.9811 | 476 | 0.9637 | 0.6587 | 0.9637 | 0.9817 |
| No log | 9.0189 | 478 | 0.9443 | 0.6527 | 0.9443 | 0.9718 |
| No log | 9.0566 | 480 | 0.9456 | 0.6516 | 0.9456 | 0.9724 |
| No log | 9.0943 | 482 | 0.9604 | 0.6527 | 0.9604 | 0.9800 |
| No log | 9.1321 | 484 | 0.9871 | 0.6705 | 0.9871 | 0.9935 |
| No log | 9.1698 | 486 | 1.0175 | 0.6424 | 1.0175 | 1.0087 |
| No log | 9.2075 | 488 | 1.0592 | 0.6161 | 1.0592 | 1.0292 |
| No log | 9.2453 | 490 | 1.0918 | 0.6067 | 1.0918 | 1.0449 |
| No log | 9.2830 | 492 | 1.1134 | 0.6187 | 1.1134 | 1.0552 |
| No log | 9.3208 | 494 | 1.1141 | 0.6187 | 1.1141 | 1.0555 |
| No log | 9.3585 | 496 | 1.0955 | 0.6127 | 1.0955 | 1.0467 |
| No log | 9.3962 | 498 | 1.0666 | 0.6153 | 1.0666 | 1.0328 |
| 0.3561 | 9.4340 | 500 | 1.0395 | 0.6368 | 1.0395 | 1.0196 |
| 0.3561 | 9.4717 | 502 | 1.0180 | 0.6337 | 1.0180 | 1.0090 |
| 0.3561 | 9.5094 | 504 | 1.0028 | 0.6442 | 1.0028 | 1.0014 |
| 0.3561 | 9.5472 | 506 | 0.9832 | 0.6353 | 0.9832 | 0.9916 |
| 0.3561 | 9.5849 | 508 | 0.9677 | 0.6461 | 0.9677 | 0.9837 |
| 0.3561 | 9.6226 | 510 | 0.9532 | 0.6461 | 0.9532 | 0.9763 |
| 0.3561 | 9.6604 | 512 | 0.9495 | 0.6426 | 0.9495 | 0.9744 |
| 0.3561 | 9.6981 | 514 | 0.9549 | 0.6461 | 0.9549 | 0.9772 |
| 0.3561 | 9.7358 | 516 | 0.9650 | 0.6461 | 0.9650 | 0.9823 |
| 0.3561 | 9.7736 | 518 | 0.9777 | 0.6353 | 0.9777 | 0.9888 |
| 0.3561 | 9.8113 | 520 | 0.9903 | 0.6353 | 0.9903 | 0.9952 |
| 0.3561 | 9.8491 | 522 | 1.0016 | 0.6442 | 1.0016 | 1.0008 |
| 0.3561 | 9.8868 | 524 | 1.0116 | 0.6540 | 1.0116 | 1.0058 |
| 0.3561 | 9.9245 | 526 | 1.0183 | 0.6540 | 1.0183 | 1.0091 |
| 0.3561 | 9.9623 | 528 | 1.0212 | 0.6335 | 1.0212 | 1.0105 |
| 0.3561 | 10.0 | 530 | 1.0222 | 0.6335 | 1.0222 | 1.0111 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k11_task5_organization
Base model
aubmindlab/bert-base-arabertv02