Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_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_run1_AugV5_k19_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_run1_AugV5_k19_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_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: 0.9556
- Qwk: 0.5706
- Mse: 0.9556
- Rmse: 0.9775
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 | 0.0217 | 2 | 5.6606 | -0.0267 | 5.6606 | 2.3792 |
| No log | 0.0435 | 4 | 3.6099 | 0.0374 | 3.6099 | 1.9000 |
| No log | 0.0652 | 6 | 3.0009 | -0.0893 | 3.0009 | 1.7323 |
| No log | 0.0870 | 8 | 3.1295 | -0.1004 | 3.1295 | 1.7690 |
| No log | 0.1087 | 10 | 2.9577 | -0.1068 | 2.9577 | 1.7198 |
| No log | 0.1304 | 12 | 1.6012 | 0.0510 | 1.6012 | 1.2654 |
| No log | 0.1522 | 14 | 1.1980 | 0.2203 | 1.1980 | 1.0945 |
| No log | 0.1739 | 16 | 1.3298 | 0.2070 | 1.3298 | 1.1532 |
| No log | 0.1957 | 18 | 1.4917 | 0.0751 | 1.4917 | 1.2214 |
| No log | 0.2174 | 20 | 1.3741 | 0.0696 | 1.3741 | 1.1722 |
| No log | 0.2391 | 22 | 1.3264 | 0.0972 | 1.3264 | 1.1517 |
| No log | 0.2609 | 24 | 1.2906 | 0.1339 | 1.2906 | 1.1360 |
| No log | 0.2826 | 26 | 1.2862 | 0.1805 | 1.2862 | 1.1341 |
| No log | 0.3043 | 28 | 1.2703 | 0.1674 | 1.2703 | 1.1271 |
| No log | 0.3261 | 30 | 1.2232 | 0.1571 | 1.2232 | 1.1060 |
| No log | 0.3478 | 32 | 1.2142 | 0.1435 | 1.2142 | 1.1019 |
| No log | 0.3696 | 34 | 1.2479 | 0.1805 | 1.2479 | 1.1171 |
| No log | 0.3913 | 36 | 1.2950 | 0.2023 | 1.2950 | 1.1380 |
| No log | 0.4130 | 38 | 1.2585 | 0.2451 | 1.2585 | 1.1218 |
| No log | 0.4348 | 40 | 1.1764 | 0.2554 | 1.1764 | 1.0846 |
| No log | 0.4565 | 42 | 1.1088 | 0.1902 | 1.1088 | 1.0530 |
| No log | 0.4783 | 44 | 1.0821 | 0.2505 | 1.0821 | 1.0402 |
| No log | 0.5 | 46 | 1.1390 | 0.2850 | 1.1390 | 1.0672 |
| No log | 0.5217 | 48 | 1.3527 | 0.2301 | 1.3527 | 1.1631 |
| No log | 0.5435 | 50 | 1.2495 | 0.2773 | 1.2495 | 1.1178 |
| No log | 0.5652 | 52 | 1.0562 | 0.3135 | 1.0562 | 1.0277 |
| No log | 0.5870 | 54 | 1.0586 | 0.2666 | 1.0586 | 1.0289 |
| No log | 0.6087 | 56 | 1.0825 | 0.2433 | 1.0825 | 1.0404 |
| No log | 0.6304 | 58 | 1.0545 | 0.3179 | 1.0545 | 1.0269 |
| No log | 0.6522 | 60 | 1.0802 | 0.3366 | 1.0802 | 1.0393 |
| No log | 0.6739 | 62 | 1.0740 | 0.3643 | 1.0740 | 1.0363 |
| No log | 0.6957 | 64 | 1.1154 | 0.2863 | 1.1154 | 1.0561 |
| No log | 0.7174 | 66 | 1.1183 | 0.2723 | 1.1183 | 1.0575 |
| No log | 0.7391 | 68 | 0.9428 | 0.4059 | 0.9428 | 0.9710 |
| No log | 0.7609 | 70 | 0.9151 | 0.4331 | 0.9151 | 0.9566 |
| No log | 0.7826 | 72 | 0.9668 | 0.4462 | 0.9668 | 0.9833 |
| No log | 0.8043 | 74 | 1.1689 | 0.3675 | 1.1689 | 1.0812 |
| No log | 0.8261 | 76 | 1.2331 | 0.3118 | 1.2331 | 1.1105 |
| No log | 0.8478 | 78 | 0.9687 | 0.4652 | 0.9687 | 0.9842 |
| No log | 0.8696 | 80 | 0.7307 | 0.6163 | 0.7307 | 0.8548 |
| No log | 0.8913 | 82 | 0.8606 | 0.5152 | 0.8606 | 0.9277 |
| No log | 0.9130 | 84 | 0.8154 | 0.4867 | 0.8154 | 0.9030 |
| No log | 0.9348 | 86 | 0.7228 | 0.6018 | 0.7228 | 0.8502 |
| No log | 0.9565 | 88 | 0.7593 | 0.5981 | 0.7593 | 0.8714 |
| No log | 0.9783 | 90 | 0.7596 | 0.5817 | 0.7596 | 0.8716 |
| No log | 1.0 | 92 | 0.7641 | 0.5207 | 0.7641 | 0.8741 |
| No log | 1.0217 | 94 | 0.7956 | 0.4898 | 0.7956 | 0.8920 |
| No log | 1.0435 | 96 | 0.8106 | 0.4936 | 0.8106 | 0.9004 |
| No log | 1.0652 | 98 | 0.7727 | 0.5248 | 0.7727 | 0.8790 |
| No log | 1.0870 | 100 | 0.8144 | 0.6468 | 0.8144 | 0.9025 |
| No log | 1.1087 | 102 | 1.0397 | 0.4737 | 1.0397 | 1.0197 |
| No log | 1.1304 | 104 | 1.1139 | 0.4731 | 1.1139 | 1.0554 |
| No log | 1.1522 | 106 | 0.9984 | 0.4667 | 0.9984 | 0.9992 |
| No log | 1.1739 | 108 | 0.8559 | 0.5703 | 0.8559 | 0.9251 |
| No log | 1.1957 | 110 | 1.0975 | 0.4574 | 1.0975 | 1.0476 |
| No log | 1.2174 | 112 | 1.1014 | 0.4576 | 1.1014 | 1.0495 |
| No log | 1.2391 | 114 | 0.9798 | 0.4266 | 0.9798 | 0.9899 |
| No log | 1.2609 | 116 | 1.2198 | 0.3451 | 1.2198 | 1.1044 |
| No log | 1.2826 | 118 | 1.3112 | 0.3198 | 1.3112 | 1.1451 |
| No log | 1.3043 | 120 | 1.2145 | 0.3412 | 1.2145 | 1.1021 |
| No log | 1.3261 | 122 | 1.0539 | 0.3543 | 1.0539 | 1.0266 |
| No log | 1.3478 | 124 | 1.0101 | 0.3850 | 1.0101 | 1.0051 |
| No log | 1.3696 | 126 | 1.0341 | 0.3829 | 1.0341 | 1.0169 |
| No log | 1.3913 | 128 | 1.0341 | 0.4356 | 1.0341 | 1.0169 |
| No log | 1.4130 | 130 | 1.1282 | 0.3959 | 1.1282 | 1.0622 |
| No log | 1.4348 | 132 | 1.2779 | 0.3450 | 1.2779 | 1.1304 |
| No log | 1.4565 | 134 | 1.2688 | 0.2812 | 1.2688 | 1.1264 |
| No log | 1.4783 | 136 | 1.1740 | 0.2921 | 1.1740 | 1.0835 |
| No log | 1.5 | 138 | 1.1154 | 0.4255 | 1.1154 | 1.0561 |
| No log | 1.5217 | 140 | 1.0890 | 0.4514 | 1.0890 | 1.0436 |
| No log | 1.5435 | 142 | 1.0266 | 0.4467 | 1.0266 | 1.0132 |
| No log | 1.5652 | 144 | 1.0440 | 0.4012 | 1.0440 | 1.0217 |
| No log | 1.5870 | 146 | 1.1997 | 0.3574 | 1.1997 | 1.0953 |
| No log | 1.6087 | 148 | 1.1768 | 0.2611 | 1.1768 | 1.0848 |
| No log | 1.6304 | 150 | 1.0566 | 0.3574 | 1.0566 | 1.0279 |
| No log | 1.6522 | 152 | 0.9922 | 0.4055 | 0.9922 | 0.9961 |
| No log | 1.6739 | 154 | 1.1195 | 0.3804 | 1.1195 | 1.0581 |
| No log | 1.6957 | 156 | 1.2390 | 0.4296 | 1.2390 | 1.1131 |
| No log | 1.7174 | 158 | 1.1303 | 0.4010 | 1.1303 | 1.0632 |
| No log | 1.7391 | 160 | 0.9863 | 0.4945 | 0.9863 | 0.9931 |
| No log | 1.7609 | 162 | 1.0658 | 0.3817 | 1.0658 | 1.0324 |
| No log | 1.7826 | 164 | 1.1950 | 0.2721 | 1.1950 | 1.0932 |
| No log | 1.8043 | 166 | 1.2589 | 0.2632 | 1.2589 | 1.1220 |
| No log | 1.8261 | 168 | 1.2325 | 0.2571 | 1.2325 | 1.1102 |
| No log | 1.8478 | 170 | 1.1520 | 0.2858 | 1.1520 | 1.0733 |
| No log | 1.8696 | 172 | 1.0668 | 0.3642 | 1.0668 | 1.0329 |
| No log | 1.8913 | 174 | 0.9669 | 0.5011 | 0.9669 | 0.9833 |
| No log | 1.9130 | 176 | 0.8444 | 0.5518 | 0.8444 | 0.9189 |
| No log | 1.9348 | 178 | 0.8015 | 0.5947 | 0.8015 | 0.8953 |
| No log | 1.9565 | 180 | 0.8995 | 0.5979 | 0.8995 | 0.9484 |
| No log | 1.9783 | 182 | 1.0457 | 0.5622 | 1.0457 | 1.0226 |
| No log | 2.0 | 184 | 0.9741 | 0.5844 | 0.9741 | 0.9870 |
| No log | 2.0217 | 186 | 0.7892 | 0.6569 | 0.7892 | 0.8884 |
| No log | 2.0435 | 188 | 0.7437 | 0.6613 | 0.7437 | 0.8624 |
| No log | 2.0652 | 190 | 0.7965 | 0.6360 | 0.7965 | 0.8925 |
| No log | 2.0870 | 192 | 0.8157 | 0.6251 | 0.8157 | 0.9032 |
| No log | 2.1087 | 194 | 0.8734 | 0.6161 | 0.8734 | 0.9345 |
| No log | 2.1304 | 196 | 0.8550 | 0.6229 | 0.8550 | 0.9247 |
| No log | 2.1522 | 198 | 0.8005 | 0.6109 | 0.8005 | 0.8947 |
| No log | 2.1739 | 200 | 0.8925 | 0.5985 | 0.8925 | 0.9447 |
| No log | 2.1957 | 202 | 0.9697 | 0.5496 | 0.9697 | 0.9847 |
| No log | 2.2174 | 204 | 1.0181 | 0.5493 | 1.0181 | 1.0090 |
| No log | 2.2391 | 206 | 0.9532 | 0.5595 | 0.9532 | 0.9763 |
| No log | 2.2609 | 208 | 0.9782 | 0.5300 | 0.9782 | 0.9890 |
| No log | 2.2826 | 210 | 0.8505 | 0.6050 | 0.8505 | 0.9222 |
| No log | 2.3043 | 212 | 0.7958 | 0.6433 | 0.7958 | 0.8921 |
| No log | 2.3261 | 214 | 0.8021 | 0.6426 | 0.8021 | 0.8956 |
| No log | 2.3478 | 216 | 0.9437 | 0.5681 | 0.9437 | 0.9715 |
| No log | 2.3696 | 218 | 1.1082 | 0.5280 | 1.1082 | 1.0527 |
| No log | 2.3913 | 220 | 0.9889 | 0.5718 | 0.9889 | 0.9945 |
| No log | 2.4130 | 222 | 0.8131 | 0.6477 | 0.8131 | 0.9017 |
| No log | 2.4348 | 224 | 0.8056 | 0.6372 | 0.8056 | 0.8975 |
| No log | 2.4565 | 226 | 0.8385 | 0.5810 | 0.8385 | 0.9157 |
| No log | 2.4783 | 228 | 0.7329 | 0.6329 | 0.7329 | 0.8561 |
| No log | 2.5 | 230 | 0.6865 | 0.6608 | 0.6865 | 0.8285 |
| No log | 2.5217 | 232 | 0.6625 | 0.6929 | 0.6625 | 0.8140 |
| No log | 2.5435 | 234 | 0.6580 | 0.7061 | 0.6580 | 0.8112 |
| No log | 2.5652 | 236 | 0.6573 | 0.6879 | 0.6573 | 0.8107 |
| No log | 2.5870 | 238 | 0.7176 | 0.6280 | 0.7176 | 0.8471 |
| No log | 2.6087 | 240 | 0.7536 | 0.6416 | 0.7536 | 0.8681 |
| No log | 2.6304 | 242 | 0.7237 | 0.6441 | 0.7237 | 0.8507 |
| No log | 2.6522 | 244 | 0.7948 | 0.6317 | 0.7948 | 0.8915 |
| No log | 2.6739 | 246 | 0.7588 | 0.6645 | 0.7588 | 0.8711 |
| No log | 2.6957 | 248 | 0.7291 | 0.6812 | 0.7291 | 0.8539 |
| No log | 2.7174 | 250 | 0.7841 | 0.6558 | 0.7841 | 0.8855 |
| No log | 2.7391 | 252 | 0.9555 | 0.5811 | 0.9555 | 0.9775 |
| No log | 2.7609 | 254 | 1.0308 | 0.5523 | 1.0308 | 1.0153 |
| No log | 2.7826 | 256 | 0.9941 | 0.5694 | 0.9941 | 0.9971 |
| No log | 2.8043 | 258 | 0.8939 | 0.5971 | 0.8939 | 0.9455 |
| No log | 2.8261 | 260 | 0.7888 | 0.6456 | 0.7888 | 0.8881 |
| No log | 2.8478 | 262 | 0.8126 | 0.6104 | 0.8126 | 0.9015 |
| No log | 2.8696 | 264 | 0.8617 | 0.5774 | 0.8617 | 0.9283 |
| No log | 2.8913 | 266 | 0.9562 | 0.5541 | 0.9562 | 0.9779 |
| No log | 2.9130 | 268 | 0.9388 | 0.5638 | 0.9388 | 0.9689 |
| No log | 2.9348 | 270 | 0.8022 | 0.6044 | 0.8022 | 0.8956 |
| No log | 2.9565 | 272 | 0.7862 | 0.6200 | 0.7862 | 0.8867 |
| No log | 2.9783 | 274 | 0.8837 | 0.5944 | 0.8837 | 0.9401 |
| No log | 3.0 | 276 | 1.0532 | 0.5111 | 1.0532 | 1.0263 |
| No log | 3.0217 | 278 | 1.1349 | 0.5053 | 1.1349 | 1.0653 |
| No log | 3.0435 | 280 | 1.0730 | 0.5017 | 1.0730 | 1.0359 |
| No log | 3.0652 | 282 | 0.9069 | 0.5719 | 0.9069 | 0.9523 |
| No log | 3.0870 | 284 | 0.7797 | 0.5543 | 0.7797 | 0.8830 |
| No log | 3.1087 | 286 | 0.7353 | 0.5787 | 0.7353 | 0.8575 |
| No log | 3.1304 | 288 | 0.7700 | 0.6040 | 0.7700 | 0.8775 |
| No log | 3.1522 | 290 | 0.9038 | 0.5568 | 0.9038 | 0.9507 |
| No log | 3.1739 | 292 | 0.9260 | 0.5568 | 0.9260 | 0.9623 |
| No log | 3.1957 | 294 | 0.8566 | 0.5620 | 0.8566 | 0.9255 |
| No log | 3.2174 | 296 | 0.7885 | 0.6111 | 0.7885 | 0.8880 |
| No log | 3.2391 | 298 | 0.7609 | 0.6057 | 0.7609 | 0.8723 |
| No log | 3.2609 | 300 | 0.7826 | 0.5952 | 0.7826 | 0.8847 |
| No log | 3.2826 | 302 | 0.9361 | 0.5268 | 0.9361 | 0.9675 |
| No log | 3.3043 | 304 | 1.0750 | 0.5038 | 1.0750 | 1.0368 |
| No log | 3.3261 | 306 | 1.0024 | 0.5046 | 1.0024 | 1.0012 |
| No log | 3.3478 | 308 | 0.8485 | 0.5714 | 0.8485 | 0.9211 |
| No log | 3.3696 | 310 | 0.8227 | 0.5543 | 0.8227 | 0.9071 |
| No log | 3.3913 | 312 | 0.8528 | 0.5386 | 0.8528 | 0.9235 |
| No log | 3.4130 | 314 | 0.8806 | 0.5106 | 0.8806 | 0.9384 |
| No log | 3.4348 | 316 | 0.9350 | 0.5020 | 0.9350 | 0.9670 |
| No log | 3.4565 | 318 | 0.9990 | 0.5059 | 0.9990 | 0.9995 |
| No log | 3.4783 | 320 | 0.9991 | 0.5143 | 0.9991 | 0.9995 |
| No log | 3.5 | 322 | 0.9998 | 0.5143 | 0.9998 | 0.9999 |
| No log | 3.5217 | 324 | 1.0239 | 0.5030 | 1.0239 | 1.0119 |
| No log | 3.5435 | 326 | 1.0367 | 0.5015 | 1.0367 | 1.0182 |
| No log | 3.5652 | 328 | 0.8534 | 0.6032 | 0.8534 | 0.9238 |
| No log | 3.5870 | 330 | 0.8072 | 0.6440 | 0.8072 | 0.8985 |
| No log | 3.6087 | 332 | 0.8529 | 0.6076 | 0.8529 | 0.9235 |
| No log | 3.6304 | 334 | 0.8659 | 0.5971 | 0.8659 | 0.9306 |
| No log | 3.6522 | 336 | 0.8001 | 0.6328 | 0.8001 | 0.8945 |
| No log | 3.6739 | 338 | 0.6785 | 0.6769 | 0.6785 | 0.8237 |
| No log | 3.6957 | 340 | 0.6321 | 0.7003 | 0.6321 | 0.7950 |
| No log | 3.7174 | 342 | 0.6209 | 0.6828 | 0.6209 | 0.7880 |
| No log | 3.7391 | 344 | 0.6730 | 0.7118 | 0.6730 | 0.8204 |
| No log | 3.7609 | 346 | 0.7257 | 0.6991 | 0.7257 | 0.8519 |
| No log | 3.7826 | 348 | 0.7198 | 0.7034 | 0.7198 | 0.8484 |
| No log | 3.8043 | 350 | 0.7105 | 0.6928 | 0.7105 | 0.8429 |
| No log | 3.8261 | 352 | 0.6560 | 0.6891 | 0.6560 | 0.8100 |
| No log | 3.8478 | 354 | 0.6488 | 0.6742 | 0.6488 | 0.8055 |
| No log | 3.8696 | 356 | 0.6739 | 0.6862 | 0.6739 | 0.8209 |
| No log | 3.8913 | 358 | 0.7275 | 0.6593 | 0.7275 | 0.8530 |
| No log | 3.9130 | 360 | 0.7304 | 0.6586 | 0.7304 | 0.8546 |
| No log | 3.9348 | 362 | 0.6972 | 0.6777 | 0.6972 | 0.8350 |
| No log | 3.9565 | 364 | 0.6693 | 0.6969 | 0.6693 | 0.8181 |
| No log | 3.9783 | 366 | 0.6415 | 0.7215 | 0.6415 | 0.8009 |
| No log | 4.0 | 368 | 0.6417 | 0.7245 | 0.6417 | 0.8010 |
| No log | 4.0217 | 370 | 0.6699 | 0.6863 | 0.6699 | 0.8185 |
| No log | 4.0435 | 372 | 0.7151 | 0.6730 | 0.7151 | 0.8457 |
| No log | 4.0652 | 374 | 0.6661 | 0.6885 | 0.6661 | 0.8162 |
| No log | 4.0870 | 376 | 0.6260 | 0.7196 | 0.6260 | 0.7912 |
| No log | 4.1087 | 378 | 0.6262 | 0.7250 | 0.6262 | 0.7913 |
| No log | 4.1304 | 380 | 0.6282 | 0.7074 | 0.6282 | 0.7926 |
| No log | 4.1522 | 382 | 0.6269 | 0.6724 | 0.6269 | 0.7918 |
| No log | 4.1739 | 384 | 0.6834 | 0.6748 | 0.6834 | 0.8267 |
| No log | 4.1957 | 386 | 0.8532 | 0.6126 | 0.8532 | 0.9237 |
| No log | 4.2174 | 388 | 0.8927 | 0.5957 | 0.8927 | 0.9448 |
| No log | 4.2391 | 390 | 0.8001 | 0.6231 | 0.8001 | 0.8945 |
| No log | 4.2609 | 392 | 0.6868 | 0.6564 | 0.6868 | 0.8287 |
| No log | 4.2826 | 394 | 0.6751 | 0.6671 | 0.6751 | 0.8216 |
| No log | 4.3043 | 396 | 0.6961 | 0.6724 | 0.6961 | 0.8343 |
| No log | 4.3261 | 398 | 0.7770 | 0.6624 | 0.7770 | 0.8815 |
| No log | 4.3478 | 400 | 0.9639 | 0.5681 | 0.9639 | 0.9818 |
| No log | 4.3696 | 402 | 0.9963 | 0.5029 | 0.9963 | 0.9981 |
| No log | 4.3913 | 404 | 1.0700 | 0.4986 | 1.0700 | 1.0344 |
| No log | 4.4130 | 406 | 1.0932 | 0.4753 | 1.0932 | 1.0456 |
| No log | 4.4348 | 408 | 1.0040 | 0.4969 | 1.0040 | 1.0020 |
| No log | 4.4565 | 410 | 0.9961 | 0.5076 | 0.9961 | 0.9981 |
| No log | 4.4783 | 412 | 1.0781 | 0.5038 | 1.0781 | 1.0383 |
| No log | 4.5 | 414 | 1.0932 | 0.5030 | 1.0932 | 1.0455 |
| No log | 4.5217 | 416 | 1.2161 | 0.4722 | 1.2161 | 1.1028 |
| No log | 4.5435 | 418 | 1.1833 | 0.4727 | 1.1833 | 1.0878 |
| No log | 4.5652 | 420 | 1.0989 | 0.5086 | 1.0989 | 1.0483 |
| No log | 4.5870 | 422 | 1.0491 | 0.5156 | 1.0491 | 1.0243 |
| No log | 4.6087 | 424 | 1.0802 | 0.5128 | 1.0802 | 1.0393 |
| No log | 4.6304 | 426 | 1.0595 | 0.5181 | 1.0595 | 1.0293 |
| No log | 4.6522 | 428 | 0.9452 | 0.5354 | 0.9452 | 0.9722 |
| No log | 4.6739 | 430 | 0.8631 | 0.5379 | 0.8631 | 0.9290 |
| No log | 4.6957 | 432 | 0.8522 | 0.5793 | 0.8522 | 0.9231 |
| No log | 4.7174 | 434 | 0.7705 | 0.6585 | 0.7705 | 0.8778 |
| No log | 4.7391 | 436 | 0.7543 | 0.6703 | 0.7543 | 0.8685 |
| No log | 4.7609 | 438 | 0.6972 | 0.7080 | 0.6972 | 0.8350 |
| No log | 4.7826 | 440 | 0.7009 | 0.6156 | 0.7009 | 0.8372 |
| No log | 4.8043 | 442 | 0.6863 | 0.6228 | 0.6863 | 0.8285 |
| No log | 4.8261 | 444 | 0.7025 | 0.6830 | 0.7025 | 0.8382 |
| No log | 4.8478 | 446 | 0.6932 | 0.6640 | 0.6932 | 0.8326 |
| No log | 4.8696 | 448 | 0.7012 | 0.5989 | 0.7012 | 0.8374 |
| No log | 4.8913 | 450 | 0.7188 | 0.5948 | 0.7188 | 0.8478 |
| No log | 4.9130 | 452 | 0.6787 | 0.6586 | 0.6787 | 0.8238 |
| No log | 4.9348 | 454 | 0.7730 | 0.6875 | 0.7730 | 0.8792 |
| No log | 4.9565 | 456 | 0.8678 | 0.6107 | 0.8678 | 0.9316 |
| No log | 4.9783 | 458 | 0.8034 | 0.6508 | 0.8034 | 0.8963 |
| No log | 5.0 | 460 | 0.6930 | 0.6710 | 0.6930 | 0.8325 |
| No log | 5.0217 | 462 | 0.7423 | 0.5999 | 0.7423 | 0.8616 |
| No log | 5.0435 | 464 | 0.7749 | 0.6050 | 0.7749 | 0.8803 |
| No log | 5.0652 | 466 | 0.7238 | 0.6149 | 0.7238 | 0.8507 |
| No log | 5.0870 | 468 | 0.6975 | 0.6718 | 0.6975 | 0.8352 |
| No log | 5.1087 | 470 | 0.7627 | 0.6518 | 0.7627 | 0.8734 |
| No log | 5.1304 | 472 | 0.9111 | 0.6031 | 0.9111 | 0.9545 |
| No log | 5.1522 | 474 | 1.0183 | 0.5958 | 1.0183 | 1.0091 |
| No log | 5.1739 | 476 | 0.9721 | 0.6079 | 0.9721 | 0.9859 |
| No log | 5.1957 | 478 | 0.8113 | 0.6123 | 0.8113 | 0.9007 |
| No log | 5.2174 | 480 | 0.7066 | 0.6786 | 0.7066 | 0.8406 |
| No log | 5.2391 | 482 | 0.6985 | 0.671 | 0.6984 | 0.8357 |
| No log | 5.2609 | 484 | 0.7125 | 0.6031 | 0.7125 | 0.8441 |
| No log | 5.2826 | 486 | 0.7502 | 0.6070 | 0.7502 | 0.8661 |
| No log | 5.3043 | 488 | 0.8070 | 0.6592 | 0.8070 | 0.8983 |
| No log | 5.3261 | 490 | 0.8428 | 0.6025 | 0.8428 | 0.9180 |
| No log | 5.3478 | 492 | 0.9142 | 0.5839 | 0.9142 | 0.9561 |
| No log | 5.3696 | 494 | 0.8823 | 0.5766 | 0.8823 | 0.9393 |
| No log | 5.3913 | 496 | 0.7849 | 0.6626 | 0.7849 | 0.8859 |
| No log | 5.4130 | 498 | 0.7010 | 0.7057 | 0.7010 | 0.8373 |
| 0.4793 | 5.4348 | 500 | 0.6878 | 0.7315 | 0.6878 | 0.8294 |
| 0.4793 | 5.4565 | 502 | 0.7033 | 0.7079 | 0.7033 | 0.8386 |
| 0.4793 | 5.4783 | 504 | 0.7651 | 0.6703 | 0.7651 | 0.8747 |
| 0.4793 | 5.5 | 506 | 0.8700 | 0.5968 | 0.8700 | 0.9327 |
| 0.4793 | 5.5217 | 508 | 0.9746 | 0.5694 | 0.9746 | 0.9872 |
| 0.4793 | 5.5435 | 510 | 0.9556 | 0.5706 | 0.9556 | 0.9775 |
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_run1_AugV5_k19_task1_organization
Base model
aubmindlab/bert-base-arabertv02