Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_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: 1.3533
- Qwk: 0.4994
- Mse: 1.3533
- Rmse: 1.1633
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 | 0.0339 | 2 | 5.2326 | -0.0147 | 5.2326 | 2.2875 |
| No log | 0.0678 | 4 | 3.0918 | 0.0659 | 3.0918 | 1.7583 |
| No log | 0.1017 | 6 | 2.4627 | -0.1058 | 2.4627 | 1.5693 |
| No log | 0.1356 | 8 | 2.0271 | 0.0071 | 2.0271 | 1.4238 |
| No log | 0.1695 | 10 | 1.9128 | -0.0444 | 1.9128 | 1.3830 |
| No log | 0.2034 | 12 | 1.3670 | 0.0857 | 1.3670 | 1.1692 |
| No log | 0.2373 | 14 | 1.1954 | 0.1322 | 1.1954 | 1.0934 |
| No log | 0.2712 | 16 | 1.4155 | 0.0526 | 1.4155 | 1.1897 |
| No log | 0.3051 | 18 | 2.4510 | 0.0750 | 2.4510 | 1.5656 |
| No log | 0.3390 | 20 | 2.7358 | 0.0585 | 2.7358 | 1.6540 |
| No log | 0.3729 | 22 | 2.3245 | 0.1344 | 2.3245 | 1.5246 |
| No log | 0.4068 | 24 | 1.8033 | 0.0263 | 1.8033 | 1.3429 |
| No log | 0.4407 | 26 | 1.4287 | 0.0156 | 1.4287 | 1.1953 |
| No log | 0.4746 | 28 | 1.3149 | 0.1685 | 1.3149 | 1.1467 |
| No log | 0.5085 | 30 | 1.2827 | 0.1994 | 1.2827 | 1.1326 |
| No log | 0.5424 | 32 | 1.2721 | 0.0465 | 1.2721 | 1.1279 |
| No log | 0.5763 | 34 | 1.2778 | 0.0233 | 1.2778 | 1.1304 |
| No log | 0.6102 | 36 | 1.2601 | 0.1310 | 1.2601 | 1.1226 |
| No log | 0.6441 | 38 | 1.2539 | 0.2661 | 1.2539 | 1.1198 |
| No log | 0.6780 | 40 | 1.2549 | 0.2150 | 1.2549 | 1.1202 |
| No log | 0.7119 | 42 | 1.2313 | 0.2469 | 1.2313 | 1.1097 |
| No log | 0.7458 | 44 | 1.2203 | 0.2959 | 1.2203 | 1.1047 |
| No log | 0.7797 | 46 | 1.1737 | 0.2926 | 1.1737 | 1.0834 |
| No log | 0.8136 | 48 | 1.1391 | 0.2386 | 1.1391 | 1.0673 |
| No log | 0.8475 | 50 | 1.1253 | 0.2825 | 1.1253 | 1.0608 |
| No log | 0.8814 | 52 | 1.1648 | 0.3280 | 1.1648 | 1.0793 |
| No log | 0.9153 | 54 | 1.2075 | 0.2656 | 1.2075 | 1.0989 |
| No log | 0.9492 | 56 | 1.2158 | 0.2824 | 1.2158 | 1.1026 |
| No log | 0.9831 | 58 | 1.1895 | 0.2650 | 1.1895 | 1.0906 |
| No log | 1.0169 | 60 | 1.1239 | 0.3510 | 1.1239 | 1.0601 |
| No log | 1.0508 | 62 | 1.0536 | 0.3482 | 1.0536 | 1.0265 |
| No log | 1.0847 | 64 | 1.0377 | 0.3362 | 1.0377 | 1.0187 |
| No log | 1.1186 | 66 | 0.9938 | 0.3643 | 0.9938 | 0.9969 |
| No log | 1.1525 | 68 | 0.9772 | 0.3072 | 0.9772 | 0.9885 |
| No log | 1.1864 | 70 | 0.9987 | 0.3768 | 0.9987 | 0.9994 |
| No log | 1.2203 | 72 | 1.1554 | 0.3505 | 1.1554 | 1.0749 |
| No log | 1.2542 | 74 | 1.2927 | 0.3705 | 1.2927 | 1.1370 |
| No log | 1.2881 | 76 | 1.2559 | 0.3594 | 1.2559 | 1.1207 |
| No log | 1.3220 | 78 | 1.1512 | 0.3263 | 1.1512 | 1.0729 |
| No log | 1.3559 | 80 | 1.0645 | 0.2888 | 1.0645 | 1.0317 |
| No log | 1.3898 | 82 | 0.9866 | 0.3947 | 0.9866 | 0.9933 |
| No log | 1.4237 | 84 | 0.9347 | 0.4527 | 0.9347 | 0.9668 |
| No log | 1.4576 | 86 | 1.0407 | 0.4996 | 1.0407 | 1.0201 |
| No log | 1.4915 | 88 | 1.2276 | 0.3877 | 1.2276 | 1.1080 |
| No log | 1.5254 | 90 | 1.0849 | 0.4955 | 1.0849 | 1.0416 |
| No log | 1.5593 | 92 | 1.0418 | 0.5037 | 1.0418 | 1.0207 |
| No log | 1.5932 | 94 | 1.1110 | 0.4608 | 1.1110 | 1.0540 |
| No log | 1.6271 | 96 | 1.1195 | 0.4824 | 1.1195 | 1.0580 |
| No log | 1.6610 | 98 | 0.9967 | 0.5192 | 0.9967 | 0.9983 |
| No log | 1.6949 | 100 | 0.8643 | 0.5799 | 0.8643 | 0.9297 |
| No log | 1.7288 | 102 | 0.7471 | 0.5938 | 0.7471 | 0.8644 |
| No log | 1.7627 | 104 | 0.7118 | 0.6162 | 0.7118 | 0.8437 |
| No log | 1.7966 | 106 | 0.6998 | 0.6146 | 0.6998 | 0.8366 |
| No log | 1.8305 | 108 | 0.7321 | 0.5963 | 0.7321 | 0.8556 |
| No log | 1.8644 | 110 | 0.6843 | 0.6421 | 0.6843 | 0.8272 |
| No log | 1.8983 | 112 | 0.6819 | 0.6480 | 0.6819 | 0.8258 |
| No log | 1.9322 | 114 | 0.6649 | 0.6137 | 0.6649 | 0.8154 |
| No log | 1.9661 | 116 | 0.7138 | 0.6076 | 0.7138 | 0.8449 |
| No log | 2.0 | 118 | 0.7279 | 0.6101 | 0.7279 | 0.8532 |
| No log | 2.0339 | 120 | 0.7895 | 0.6224 | 0.7895 | 0.8885 |
| No log | 2.0678 | 122 | 0.8907 | 0.6020 | 0.8907 | 0.9437 |
| No log | 2.1017 | 124 | 1.0111 | 0.5447 | 1.0111 | 1.0055 |
| No log | 2.1356 | 126 | 0.9999 | 0.5398 | 0.9999 | 1.0000 |
| No log | 2.1695 | 128 | 0.8570 | 0.5584 | 0.8570 | 0.9257 |
| No log | 2.2034 | 130 | 0.8484 | 0.5023 | 0.8484 | 0.9211 |
| No log | 2.2373 | 132 | 0.8472 | 0.5471 | 0.8472 | 0.9204 |
| No log | 2.2712 | 134 | 0.9018 | 0.5437 | 0.9018 | 0.9496 |
| No log | 2.3051 | 136 | 1.0905 | 0.4883 | 1.0905 | 1.0443 |
| No log | 2.3390 | 138 | 1.2307 | 0.4575 | 1.2307 | 1.1094 |
| No log | 2.3729 | 140 | 1.0871 | 0.4967 | 1.0871 | 1.0427 |
| No log | 2.4068 | 142 | 0.8962 | 0.5050 | 0.8962 | 0.9467 |
| No log | 2.4407 | 144 | 0.8625 | 0.4744 | 0.8625 | 0.9287 |
| No log | 2.4746 | 146 | 0.8391 | 0.4638 | 0.8391 | 0.9160 |
| No log | 2.5085 | 148 | 0.8404 | 0.5155 | 0.8404 | 0.9167 |
| No log | 2.5424 | 150 | 0.9194 | 0.5656 | 0.9194 | 0.9589 |
| No log | 2.5763 | 152 | 0.9775 | 0.5541 | 0.9775 | 0.9887 |
| No log | 2.6102 | 154 | 0.9574 | 0.5602 | 0.9574 | 0.9785 |
| No log | 2.6441 | 156 | 0.9934 | 0.5693 | 0.9934 | 0.9967 |
| No log | 2.6780 | 158 | 1.0635 | 0.5274 | 1.0635 | 1.0312 |
| No log | 2.7119 | 160 | 1.0222 | 0.5323 | 1.0222 | 1.0110 |
| No log | 2.7458 | 162 | 0.9513 | 0.6077 | 0.9513 | 0.9754 |
| No log | 2.7797 | 164 | 0.8758 | 0.6193 | 0.8758 | 0.9358 |
| No log | 2.8136 | 166 | 0.8201 | 0.5976 | 0.8201 | 0.9056 |
| No log | 2.8475 | 168 | 0.7956 | 0.5932 | 0.7956 | 0.8920 |
| No log | 2.8814 | 170 | 0.7916 | 0.5723 | 0.7916 | 0.8897 |
| No log | 2.9153 | 172 | 0.7597 | 0.5851 | 0.7597 | 0.8716 |
| No log | 2.9492 | 174 | 0.7548 | 0.6137 | 0.7548 | 0.8688 |
| No log | 2.9831 | 176 | 0.8655 | 0.5998 | 0.8655 | 0.9303 |
| No log | 3.0169 | 178 | 1.0912 | 0.5226 | 1.0912 | 1.0446 |
| No log | 3.0508 | 180 | 1.1332 | 0.5253 | 1.1332 | 1.0645 |
| No log | 3.0847 | 182 | 0.9159 | 0.6073 | 0.9159 | 0.9570 |
| No log | 3.1186 | 184 | 0.7585 | 0.5995 | 0.7585 | 0.8709 |
| No log | 3.1525 | 186 | 0.7375 | 0.5604 | 0.7375 | 0.8588 |
| No log | 3.1864 | 188 | 0.7337 | 0.5526 | 0.7337 | 0.8566 |
| No log | 3.2203 | 190 | 0.7394 | 0.6207 | 0.7394 | 0.8599 |
| No log | 3.2542 | 192 | 0.8575 | 0.5920 | 0.8575 | 0.9260 |
| No log | 3.2881 | 194 | 0.9043 | 0.5822 | 0.9043 | 0.9510 |
| No log | 3.3220 | 196 | 0.8174 | 0.5898 | 0.8174 | 0.9041 |
| No log | 3.3559 | 198 | 0.7357 | 0.5533 | 0.7357 | 0.8578 |
| No log | 3.3898 | 200 | 0.7184 | 0.5921 | 0.7184 | 0.8476 |
| No log | 3.4237 | 202 | 0.6931 | 0.6319 | 0.6931 | 0.8325 |
| No log | 3.4576 | 204 | 0.7384 | 0.6675 | 0.7384 | 0.8593 |
| No log | 3.4915 | 206 | 0.9353 | 0.5792 | 0.9353 | 0.9671 |
| No log | 3.5254 | 208 | 1.0921 | 0.5191 | 1.0921 | 1.0450 |
| No log | 3.5593 | 210 | 1.0679 | 0.5624 | 1.0679 | 1.0334 |
| No log | 3.5932 | 212 | 0.9482 | 0.6050 | 0.9482 | 0.9737 |
| No log | 3.6271 | 214 | 0.7858 | 0.6844 | 0.7858 | 0.8864 |
| No log | 3.6610 | 216 | 0.7436 | 0.6514 | 0.7436 | 0.8623 |
| No log | 3.6949 | 218 | 0.7686 | 0.6300 | 0.7686 | 0.8767 |
| No log | 3.7288 | 220 | 0.8142 | 0.6384 | 0.8142 | 0.9023 |
| No log | 3.7627 | 222 | 0.8311 | 0.6332 | 0.8311 | 0.9116 |
| No log | 3.7966 | 224 | 0.7496 | 0.5969 | 0.7496 | 0.8658 |
| No log | 3.8305 | 226 | 0.7514 | 0.5986 | 0.7514 | 0.8668 |
| No log | 3.8644 | 228 | 0.8103 | 0.6098 | 0.8103 | 0.9002 |
| No log | 3.8983 | 230 | 0.8208 | 0.6162 | 0.8208 | 0.9060 |
| No log | 3.9322 | 232 | 0.7613 | 0.6229 | 0.7613 | 0.8725 |
| No log | 3.9661 | 234 | 0.7530 | 0.6215 | 0.7530 | 0.8678 |
| No log | 4.0 | 236 | 0.7838 | 0.6195 | 0.7838 | 0.8853 |
| No log | 4.0339 | 238 | 0.8719 | 0.6227 | 0.8719 | 0.9337 |
| No log | 4.0678 | 240 | 0.8539 | 0.6267 | 0.8539 | 0.9241 |
| No log | 4.1017 | 242 | 0.8869 | 0.6312 | 0.8869 | 0.9418 |
| No log | 4.1356 | 244 | 0.8307 | 0.6505 | 0.8307 | 0.9114 |
| No log | 4.1695 | 246 | 0.7398 | 0.6633 | 0.7398 | 0.8601 |
| No log | 4.2034 | 248 | 0.7217 | 0.6710 | 0.7217 | 0.8495 |
| No log | 4.2373 | 250 | 0.7496 | 0.6704 | 0.7496 | 0.8658 |
| No log | 4.2712 | 252 | 0.8076 | 0.6307 | 0.8076 | 0.8987 |
| No log | 4.3051 | 254 | 0.8013 | 0.6350 | 0.8013 | 0.8952 |
| No log | 4.3390 | 256 | 0.7255 | 0.6725 | 0.7255 | 0.8518 |
| No log | 4.3729 | 258 | 0.7005 | 0.6235 | 0.7005 | 0.8370 |
| No log | 4.4068 | 260 | 0.7172 | 0.6214 | 0.7172 | 0.8469 |
| No log | 4.4407 | 262 | 0.7207 | 0.6111 | 0.7207 | 0.8489 |
| No log | 4.4746 | 264 | 0.8105 | 0.6333 | 0.8105 | 0.9003 |
| No log | 4.5085 | 266 | 1.0328 | 0.5268 | 1.0328 | 1.0163 |
| No log | 4.5424 | 268 | 1.1226 | 0.5185 | 1.1226 | 1.0595 |
| No log | 4.5763 | 270 | 1.0033 | 0.5335 | 1.0033 | 1.0017 |
| No log | 4.6102 | 272 | 0.8425 | 0.6025 | 0.8425 | 0.9179 |
| No log | 4.6441 | 274 | 0.7666 | 0.5604 | 0.7666 | 0.8756 |
| No log | 4.6780 | 276 | 0.7531 | 0.5882 | 0.7531 | 0.8678 |
| No log | 4.7119 | 278 | 0.8029 | 0.6406 | 0.8029 | 0.8960 |
| No log | 4.7458 | 280 | 1.0236 | 0.5319 | 1.0236 | 1.0117 |
| No log | 4.7797 | 282 | 1.1917 | 0.4962 | 1.1917 | 1.0916 |
| No log | 4.8136 | 284 | 1.1454 | 0.4845 | 1.1454 | 1.0702 |
| No log | 4.8475 | 286 | 0.9368 | 0.5818 | 0.9368 | 0.9679 |
| No log | 4.8814 | 288 | 0.7226 | 0.6777 | 0.7226 | 0.8501 |
| No log | 4.9153 | 290 | 0.6657 | 0.6858 | 0.6657 | 0.8159 |
| No log | 4.9492 | 292 | 0.6551 | 0.6809 | 0.6551 | 0.8094 |
| No log | 4.9831 | 294 | 0.6645 | 0.6969 | 0.6645 | 0.8152 |
| No log | 5.0169 | 296 | 0.7636 | 0.6374 | 0.7636 | 0.8738 |
| No log | 5.0508 | 298 | 0.8928 | 0.6052 | 0.8928 | 0.9449 |
| No log | 5.0847 | 300 | 0.8827 | 0.6017 | 0.8827 | 0.9395 |
| No log | 5.1186 | 302 | 0.7671 | 0.6665 | 0.7671 | 0.8758 |
| No log | 5.1525 | 304 | 0.6953 | 0.6155 | 0.6953 | 0.8339 |
| No log | 5.1864 | 306 | 0.7296 | 0.5442 | 0.7296 | 0.8542 |
| No log | 5.2203 | 308 | 0.7471 | 0.5183 | 0.7471 | 0.8643 |
| No log | 5.2542 | 310 | 0.7404 | 0.5945 | 0.7404 | 0.8605 |
| No log | 5.2881 | 312 | 0.7457 | 0.5723 | 0.7457 | 0.8635 |
| No log | 5.3220 | 314 | 0.7696 | 0.6589 | 0.7696 | 0.8773 |
| No log | 5.3559 | 316 | 0.8541 | 0.6245 | 0.8541 | 0.9242 |
| No log | 5.3898 | 318 | 0.8793 | 0.6319 | 0.8793 | 0.9377 |
| No log | 5.4237 | 320 | 0.8540 | 0.6203 | 0.8540 | 0.9241 |
| No log | 5.4576 | 322 | 0.7791 | 0.6459 | 0.7791 | 0.8827 |
| No log | 5.4915 | 324 | 0.7434 | 0.6654 | 0.7434 | 0.8622 |
| No log | 5.5254 | 326 | 0.7294 | 0.6521 | 0.7294 | 0.8540 |
| No log | 5.5593 | 328 | 0.7407 | 0.6367 | 0.7407 | 0.8607 |
| No log | 5.5932 | 330 | 0.7346 | 0.6568 | 0.7346 | 0.8571 |
| No log | 5.6271 | 332 | 0.7452 | 0.6433 | 0.7452 | 0.8632 |
| No log | 5.6610 | 334 | 0.7915 | 0.6543 | 0.7915 | 0.8897 |
| No log | 5.6949 | 336 | 0.7956 | 0.6695 | 0.7956 | 0.8920 |
| No log | 5.7288 | 338 | 0.7685 | 0.6920 | 0.7685 | 0.8766 |
| No log | 5.7627 | 340 | 0.6977 | 0.6825 | 0.6977 | 0.8353 |
| No log | 5.7966 | 342 | 0.6851 | 0.6415 | 0.6851 | 0.8277 |
| No log | 5.8305 | 344 | 0.7068 | 0.6765 | 0.7068 | 0.8407 |
| No log | 5.8644 | 346 | 0.7387 | 0.6785 | 0.7387 | 0.8595 |
| No log | 5.8983 | 348 | 0.7980 | 0.6826 | 0.7980 | 0.8933 |
| No log | 5.9322 | 350 | 0.8203 | 0.6609 | 0.8203 | 0.9057 |
| No log | 5.9661 | 352 | 0.8561 | 0.6219 | 0.8561 | 0.9252 |
| No log | 6.0 | 354 | 0.8034 | 0.6755 | 0.8034 | 0.8963 |
| No log | 6.0339 | 356 | 0.7811 | 0.6874 | 0.7811 | 0.8838 |
| No log | 6.0678 | 358 | 0.8333 | 0.6444 | 0.8333 | 0.9128 |
| No log | 6.1017 | 360 | 0.9172 | 0.5819 | 0.9172 | 0.9577 |
| No log | 6.1356 | 362 | 0.9230 | 0.5809 | 0.9230 | 0.9607 |
| No log | 6.1695 | 364 | 0.8503 | 0.6226 | 0.8503 | 0.9221 |
| No log | 6.2034 | 366 | 0.8185 | 0.6297 | 0.8185 | 0.9047 |
| No log | 6.2373 | 368 | 0.7849 | 0.6386 | 0.7849 | 0.8859 |
| No log | 6.2712 | 370 | 0.8160 | 0.6437 | 0.8160 | 0.9033 |
| No log | 6.3051 | 372 | 0.9034 | 0.6088 | 0.9034 | 0.9505 |
| No log | 6.3390 | 374 | 0.9649 | 0.5583 | 0.9649 | 0.9823 |
| No log | 6.3729 | 376 | 0.9947 | 0.5623 | 0.9947 | 0.9973 |
| No log | 6.4068 | 378 | 0.9462 | 0.5798 | 0.9462 | 0.9727 |
| No log | 6.4407 | 380 | 0.8874 | 0.6112 | 0.8874 | 0.9420 |
| No log | 6.4746 | 382 | 0.8684 | 0.5986 | 0.8684 | 0.9319 |
| No log | 6.5085 | 384 | 0.8550 | 0.5445 | 0.8550 | 0.9247 |
| No log | 6.5424 | 386 | 0.8549 | 0.5104 | 0.8549 | 0.9246 |
| No log | 6.5763 | 388 | 0.8312 | 0.4540 | 0.8312 | 0.9117 |
| No log | 6.6102 | 390 | 0.7816 | 0.4937 | 0.7816 | 0.8841 |
| No log | 6.6441 | 392 | 0.7360 | 0.5324 | 0.7360 | 0.8579 |
| No log | 6.6780 | 394 | 0.7305 | 0.6030 | 0.7305 | 0.8547 |
| No log | 6.7119 | 396 | 0.7757 | 0.6 | 0.7757 | 0.8807 |
| No log | 6.7458 | 398 | 0.8796 | 0.6003 | 0.8796 | 0.9379 |
| No log | 6.7797 | 400 | 0.8580 | 0.6074 | 0.8580 | 0.9263 |
| No log | 6.8136 | 402 | 0.7511 | 0.5868 | 0.7511 | 0.8666 |
| No log | 6.8475 | 404 | 0.6907 | 0.5974 | 0.6907 | 0.8311 |
| No log | 6.8814 | 406 | 0.7052 | 0.5691 | 0.7052 | 0.8398 |
| No log | 6.9153 | 408 | 0.7252 | 0.5378 | 0.7252 | 0.8516 |
| No log | 6.9492 | 410 | 0.7871 | 0.5728 | 0.7871 | 0.8872 |
| No log | 6.9831 | 412 | 0.9056 | 0.5476 | 0.9056 | 0.9516 |
| No log | 7.0169 | 414 | 1.0406 | 0.5392 | 1.0406 | 1.0201 |
| No log | 7.0508 | 416 | 1.0582 | 0.5571 | 1.0582 | 1.0287 |
| No log | 7.0847 | 418 | 0.9600 | 0.5512 | 0.9600 | 0.9798 |
| No log | 7.1186 | 420 | 0.8494 | 0.5942 | 0.8494 | 0.9216 |
| No log | 7.1525 | 422 | 0.7704 | 0.6266 | 0.7704 | 0.8777 |
| No log | 7.1864 | 424 | 0.7514 | 0.6543 | 0.7514 | 0.8668 |
| No log | 7.2203 | 426 | 0.7274 | 0.6330 | 0.7274 | 0.8529 |
| No log | 7.2542 | 428 | 0.7339 | 0.6228 | 0.7339 | 0.8567 |
| No log | 7.2881 | 430 | 0.7723 | 0.6323 | 0.7723 | 0.8788 |
| No log | 7.3220 | 432 | 0.7801 | 0.5980 | 0.7801 | 0.8832 |
| No log | 7.3559 | 434 | 0.7592 | 0.6289 | 0.7592 | 0.8713 |
| No log | 7.3898 | 436 | 0.7543 | 0.6317 | 0.7543 | 0.8685 |
| No log | 7.4237 | 438 | 0.8010 | 0.6158 | 0.8010 | 0.8950 |
| No log | 7.4576 | 440 | 0.8788 | 0.6160 | 0.8788 | 0.9374 |
| No log | 7.4915 | 442 | 0.8544 | 0.6002 | 0.8544 | 0.9244 |
| No log | 7.5254 | 444 | 0.7888 | 0.5971 | 0.7888 | 0.8882 |
| No log | 7.5593 | 446 | 0.7867 | 0.5971 | 0.7867 | 0.8870 |
| No log | 7.5932 | 448 | 0.8292 | 0.5946 | 0.8292 | 0.9106 |
| No log | 7.6271 | 450 | 0.9172 | 0.5937 | 0.9172 | 0.9577 |
| No log | 7.6610 | 452 | 0.9516 | 0.5981 | 0.9516 | 0.9755 |
| No log | 7.6949 | 454 | 0.9682 | 0.5799 | 0.9682 | 0.9840 |
| No log | 7.7288 | 456 | 0.9420 | 0.5942 | 0.9420 | 0.9705 |
| No log | 7.7627 | 458 | 0.9277 | 0.5956 | 0.9277 | 0.9632 |
| No log | 7.7966 | 460 | 0.9635 | 0.5915 | 0.9635 | 0.9816 |
| No log | 7.8305 | 462 | 0.9946 | 0.5717 | 0.9946 | 0.9973 |
| No log | 7.8644 | 464 | 1.0544 | 0.5119 | 1.0544 | 1.0268 |
| No log | 7.8983 | 466 | 1.0009 | 0.5675 | 1.0009 | 1.0005 |
| No log | 7.9322 | 468 | 0.9438 | 0.5570 | 0.9438 | 0.9715 |
| No log | 7.9661 | 470 | 0.8792 | 0.5812 | 0.8792 | 0.9377 |
| No log | 8.0 | 472 | 0.8514 | 0.5954 | 0.8514 | 0.9227 |
| No log | 8.0339 | 474 | 0.8425 | 0.6017 | 0.8425 | 0.9179 |
| No log | 8.0678 | 476 | 0.8217 | 0.6021 | 0.8217 | 0.9065 |
| No log | 8.1017 | 478 | 0.8350 | 0.6095 | 0.8350 | 0.9138 |
| No log | 8.1356 | 480 | 0.8045 | 0.6098 | 0.8045 | 0.8970 |
| No log | 8.1695 | 482 | 0.7717 | 0.6226 | 0.7717 | 0.8784 |
| No log | 8.2034 | 484 | 0.7725 | 0.6120 | 0.7725 | 0.8789 |
| No log | 8.2373 | 486 | 0.8224 | 0.6040 | 0.8224 | 0.9069 |
| No log | 8.2712 | 488 | 0.9037 | 0.5990 | 0.9037 | 0.9507 |
| No log | 8.3051 | 490 | 0.9182 | 0.5990 | 0.9182 | 0.9582 |
| No log | 8.3390 | 492 | 0.8335 | 0.6060 | 0.8335 | 0.9130 |
| No log | 8.3729 | 494 | 0.8203 | 0.6060 | 0.8203 | 0.9057 |
| No log | 8.4068 | 496 | 0.8741 | 0.6080 | 0.8741 | 0.9349 |
| No log | 8.4407 | 498 | 0.9514 | 0.5567 | 0.9514 | 0.9754 |
| 0.5073 | 8.4746 | 500 | 0.9649 | 0.5579 | 0.9649 | 0.9823 |
| 0.5073 | 8.5085 | 502 | 0.8908 | 0.5729 | 0.8908 | 0.9438 |
| 0.5073 | 8.5424 | 504 | 0.7939 | 0.6261 | 0.7939 | 0.8910 |
| 0.5073 | 8.5763 | 506 | 0.7669 | 0.6453 | 0.7669 | 0.8757 |
| 0.5073 | 8.6102 | 508 | 0.7451 | 0.6703 | 0.7451 | 0.8632 |
| 0.5073 | 8.6441 | 510 | 0.7391 | 0.6175 | 0.7391 | 0.8597 |
| 0.5073 | 8.6780 | 512 | 0.7481 | 0.6235 | 0.7481 | 0.8649 |
| 0.5073 | 8.7119 | 514 | 0.8162 | 0.6228 | 0.8162 | 0.9034 |
| 0.5073 | 8.7458 | 516 | 0.8396 | 0.6145 | 0.8396 | 0.9163 |
| 0.5073 | 8.7797 | 518 | 0.7708 | 0.6435 | 0.7708 | 0.8780 |
| 0.5073 | 8.8136 | 520 | 0.7446 | 0.6241 | 0.7446 | 0.8629 |
| 0.5073 | 8.8475 | 522 | 0.7275 | 0.5820 | 0.7275 | 0.8530 |
| 0.5073 | 8.8814 | 524 | 0.7233 | 0.6783 | 0.7233 | 0.8505 |
| 0.5073 | 8.9153 | 526 | 0.8076 | 0.6553 | 0.8076 | 0.8987 |
| 0.5073 | 8.9492 | 528 | 0.9194 | 0.6402 | 0.9194 | 0.9589 |
| 0.5073 | 8.9831 | 530 | 0.9439 | 0.6238 | 0.9439 | 0.9716 |
| 0.5073 | 9.0169 | 532 | 0.8468 | 0.6441 | 0.8468 | 0.9202 |
| 0.5073 | 9.0508 | 534 | 0.7121 | 0.7126 | 0.7121 | 0.8439 |
| 0.5073 | 9.0847 | 536 | 0.6567 | 0.6994 | 0.6567 | 0.8104 |
| 0.5073 | 9.1186 | 538 | 0.6611 | 0.6445 | 0.6611 | 0.8131 |
| 0.5073 | 9.1525 | 540 | 0.6639 | 0.6489 | 0.6639 | 0.8148 |
| 0.5073 | 9.1864 | 542 | 0.6635 | 0.6501 | 0.6635 | 0.8146 |
| 0.5073 | 9.2203 | 544 | 0.7041 | 0.6805 | 0.7041 | 0.8391 |
| 0.5073 | 9.2542 | 546 | 0.7290 | 0.6922 | 0.7290 | 0.8538 |
| 0.5073 | 9.2881 | 548 | 0.7201 | 0.7019 | 0.7201 | 0.8486 |
| 0.5073 | 9.3220 | 550 | 0.6924 | 0.6843 | 0.6924 | 0.8321 |
| 0.5073 | 9.3559 | 552 | 0.7054 | 0.6870 | 0.7054 | 0.8399 |
| 0.5073 | 9.3898 | 554 | 0.7166 | 0.6827 | 0.7166 | 0.8465 |
| 0.5073 | 9.4237 | 556 | 0.7056 | 0.6841 | 0.7056 | 0.8400 |
| 0.5073 | 9.4576 | 558 | 0.6920 | 0.6751 | 0.6920 | 0.8319 |
| 0.5073 | 9.4915 | 560 | 0.7406 | 0.6574 | 0.7406 | 0.8606 |
| 0.5073 | 9.5254 | 562 | 0.8105 | 0.6067 | 0.8105 | 0.9003 |
| 0.5073 | 9.5593 | 564 | 0.8721 | 0.5756 | 0.8721 | 0.9339 |
| 0.5073 | 9.5932 | 566 | 0.8614 | 0.5808 | 0.8614 | 0.9281 |
| 0.5073 | 9.6271 | 568 | 0.7901 | 0.6209 | 0.7901 | 0.8889 |
| 0.5073 | 9.6610 | 570 | 0.7808 | 0.6606 | 0.7808 | 0.8837 |
| 0.5073 | 9.6949 | 572 | 0.8100 | 0.6647 | 0.8100 | 0.9000 |
| 0.5073 | 9.7288 | 574 | 0.7918 | 0.6773 | 0.7918 | 0.8899 |
| 0.5073 | 9.7627 | 576 | 0.7780 | 0.6709 | 0.7780 | 0.8820 |
| 0.5073 | 9.7966 | 578 | 0.7888 | 0.6617 | 0.7888 | 0.8882 |
| 0.5073 | 9.8305 | 580 | 0.8302 | 0.6477 | 0.8302 | 0.9112 |
| 0.5073 | 9.8644 | 582 | 0.9089 | 0.5852 | 0.9089 | 0.9534 |
| 0.5073 | 9.8983 | 584 | 1.0341 | 0.5588 | 1.0341 | 1.0169 |
| 0.5073 | 9.9322 | 586 | 0.9908 | 0.5575 | 0.9908 | 0.9954 |
| 0.5073 | 9.9661 | 588 | 0.9107 | 0.5875 | 0.9107 | 0.9543 |
| 0.5073 | 10.0 | 590 | 0.9844 | 0.5548 | 0.9844 | 0.9922 |
| 0.5073 | 10.0339 | 592 | 1.1530 | 0.5356 | 1.1530 | 1.0738 |
| 0.5073 | 10.0678 | 594 | 1.3079 | 0.5063 | 1.3079 | 1.1436 |
| 0.5073 | 10.1017 | 596 | 1.4076 | 0.4876 | 1.4076 | 1.1864 |
| 0.5073 | 10.1356 | 598 | 1.3533 | 0.4994 | 1.3533 | 1.1633 |
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_run2_AugV5_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02