Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k13_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_k13_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_k13_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k13_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k13_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k13_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: 0.7192
- Qwk: 0.7459
- Mse: 0.7192
- Rmse: 0.8481
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 | 0.0323 | 2 | 2.3238 | -0.0140 | 2.3238 | 1.5244 |
| No log | 0.0645 | 4 | 1.4672 | 0.2148 | 1.4672 | 1.2113 |
| No log | 0.0968 | 6 | 1.2834 | 0.1672 | 1.2834 | 1.1329 |
| No log | 0.1290 | 8 | 1.2886 | 0.2186 | 1.2886 | 1.1351 |
| No log | 0.1613 | 10 | 1.2972 | 0.1266 | 1.2972 | 1.1389 |
| No log | 0.1935 | 12 | 1.3383 | 0.1216 | 1.3383 | 1.1569 |
| No log | 0.2258 | 14 | 1.3616 | 0.1009 | 1.3616 | 1.1669 |
| No log | 0.2581 | 16 | 1.4328 | 0.2780 | 1.4328 | 1.1970 |
| No log | 0.2903 | 18 | 1.4657 | 0.3056 | 1.4657 | 1.2107 |
| No log | 0.3226 | 20 | 1.3546 | 0.1954 | 1.3546 | 1.1639 |
| No log | 0.3548 | 22 | 1.2953 | 0.1189 | 1.2953 | 1.1381 |
| No log | 0.3871 | 24 | 1.3234 | 0.3263 | 1.3234 | 1.1504 |
| No log | 0.4194 | 26 | 1.3565 | 0.3392 | 1.3565 | 1.1647 |
| No log | 0.4516 | 28 | 1.3089 | 0.3249 | 1.3089 | 1.1441 |
| No log | 0.4839 | 30 | 1.2289 | 0.3655 | 1.2289 | 1.1086 |
| No log | 0.5161 | 32 | 1.2055 | 0.2407 | 1.2055 | 1.0979 |
| No log | 0.5484 | 34 | 1.2163 | 0.1913 | 1.2163 | 1.1029 |
| No log | 0.5806 | 36 | 1.2291 | 0.1071 | 1.2291 | 1.1086 |
| No log | 0.6129 | 38 | 1.2691 | 0.1071 | 1.2691 | 1.1265 |
| No log | 0.6452 | 40 | 1.3016 | 0.1360 | 1.3016 | 1.1409 |
| No log | 0.6774 | 42 | 1.3164 | 0.2678 | 1.3164 | 1.1473 |
| No log | 0.7097 | 44 | 1.2412 | 0.2886 | 1.2412 | 1.1141 |
| No log | 0.7419 | 46 | 1.1430 | 0.3245 | 1.1430 | 1.0691 |
| No log | 0.7742 | 48 | 1.0733 | 0.3908 | 1.0733 | 1.0360 |
| No log | 0.8065 | 50 | 1.0533 | 0.4136 | 1.0533 | 1.0263 |
| No log | 0.8387 | 52 | 1.1341 | 0.4160 | 1.1341 | 1.0649 |
| No log | 0.8710 | 54 | 1.0904 | 0.4628 | 1.0904 | 1.0442 |
| No log | 0.9032 | 56 | 0.9839 | 0.4728 | 0.9839 | 0.9919 |
| No log | 0.9355 | 58 | 1.1323 | 0.4705 | 1.1323 | 1.0641 |
| No log | 0.9677 | 60 | 1.1440 | 0.4652 | 1.1440 | 1.0696 |
| No log | 1.0 | 62 | 1.0333 | 0.4850 | 1.0333 | 1.0165 |
| No log | 1.0323 | 64 | 1.0657 | 0.4711 | 1.0657 | 1.0323 |
| No log | 1.0645 | 66 | 1.0351 | 0.4727 | 1.0351 | 1.0174 |
| No log | 1.0968 | 68 | 0.9735 | 0.4889 | 0.9735 | 0.9866 |
| No log | 1.1290 | 70 | 1.0037 | 0.4167 | 1.0037 | 1.0019 |
| No log | 1.1613 | 72 | 1.0994 | 0.4267 | 1.0994 | 1.0485 |
| No log | 1.1935 | 74 | 1.1342 | 0.4399 | 1.1342 | 1.0650 |
| No log | 1.2258 | 76 | 1.2156 | 0.4524 | 1.2156 | 1.1025 |
| No log | 1.2581 | 78 | 1.2899 | 0.4379 | 1.2899 | 1.1357 |
| No log | 1.2903 | 80 | 1.2660 | 0.4400 | 1.2660 | 1.1252 |
| No log | 1.3226 | 82 | 1.2277 | 0.4472 | 1.2277 | 1.1080 |
| No log | 1.3548 | 84 | 1.0724 | 0.4596 | 1.0724 | 1.0355 |
| No log | 1.3871 | 86 | 0.9224 | 0.5525 | 0.9224 | 0.9604 |
| No log | 1.4194 | 88 | 0.9099 | 0.5872 | 0.9099 | 0.9539 |
| No log | 1.4516 | 90 | 0.9341 | 0.5471 | 0.9341 | 0.9665 |
| No log | 1.4839 | 92 | 0.9676 | 0.5099 | 0.9676 | 0.9836 |
| No log | 1.5161 | 94 | 0.9963 | 0.5210 | 0.9963 | 0.9982 |
| No log | 1.5484 | 96 | 0.8771 | 0.5703 | 0.8771 | 0.9365 |
| No log | 1.5806 | 98 | 0.8543 | 0.5703 | 0.8543 | 0.9243 |
| No log | 1.6129 | 100 | 0.8366 | 0.5963 | 0.8366 | 0.9146 |
| No log | 1.6452 | 102 | 0.7864 | 0.6006 | 0.7864 | 0.8868 |
| No log | 1.6774 | 104 | 0.7933 | 0.5822 | 0.7933 | 0.8907 |
| No log | 1.7097 | 106 | 0.7862 | 0.6030 | 0.7862 | 0.8867 |
| No log | 1.7419 | 108 | 0.9502 | 0.6117 | 0.9502 | 0.9748 |
| No log | 1.7742 | 110 | 1.2328 | 0.5531 | 1.2328 | 1.1103 |
| No log | 1.8065 | 112 | 1.1990 | 0.5716 | 1.1990 | 1.0950 |
| No log | 1.8387 | 114 | 1.0943 | 0.5802 | 1.0943 | 1.0461 |
| No log | 1.8710 | 116 | 1.1196 | 0.5458 | 1.1196 | 1.0581 |
| No log | 1.9032 | 118 | 1.1907 | 0.5545 | 1.1907 | 1.0912 |
| No log | 1.9355 | 120 | 1.3783 | 0.5262 | 1.3783 | 1.1740 |
| No log | 1.9677 | 122 | 1.4005 | 0.4905 | 1.4005 | 1.1834 |
| No log | 2.0 | 124 | 1.1885 | 0.5296 | 1.1885 | 1.0902 |
| No log | 2.0323 | 126 | 0.9722 | 0.5529 | 0.9722 | 0.9860 |
| No log | 2.0645 | 128 | 0.7969 | 0.6420 | 0.7969 | 0.8927 |
| No log | 2.0968 | 130 | 0.7774 | 0.6420 | 0.7774 | 0.8817 |
| No log | 2.1290 | 132 | 0.8410 | 0.6288 | 0.8410 | 0.9171 |
| No log | 2.1613 | 134 | 1.1104 | 0.5455 | 1.1104 | 1.0537 |
| No log | 2.1935 | 136 | 1.4358 | 0.4613 | 1.4358 | 1.1983 |
| No log | 2.2258 | 138 | 1.3261 | 0.5034 | 1.3261 | 1.1516 |
| No log | 2.2581 | 140 | 1.0035 | 0.5897 | 1.0035 | 1.0017 |
| No log | 2.2903 | 142 | 0.8835 | 0.5855 | 0.8835 | 0.9400 |
| No log | 2.3226 | 144 | 0.8784 | 0.5820 | 0.8784 | 0.9372 |
| No log | 2.3548 | 146 | 0.9492 | 0.5491 | 0.9492 | 0.9743 |
| No log | 2.3871 | 148 | 1.1260 | 0.5214 | 1.1260 | 1.0612 |
| No log | 2.4194 | 150 | 1.2039 | 0.5050 | 1.2039 | 1.0972 |
| No log | 2.4516 | 152 | 1.2858 | 0.4638 | 1.2858 | 1.1339 |
| No log | 2.4839 | 154 | 1.2176 | 0.5043 | 1.2176 | 1.1034 |
| No log | 2.5161 | 156 | 1.0633 | 0.5105 | 1.0633 | 1.0312 |
| No log | 2.5484 | 158 | 0.8944 | 0.5820 | 0.8944 | 0.9457 |
| No log | 2.5806 | 160 | 0.8574 | 0.5922 | 0.8574 | 0.9259 |
| No log | 2.6129 | 162 | 0.8255 | 0.5818 | 0.8255 | 0.9086 |
| No log | 2.6452 | 164 | 0.8432 | 0.5919 | 0.8432 | 0.9183 |
| No log | 2.6774 | 166 | 0.8425 | 0.5963 | 0.8425 | 0.9179 |
| No log | 2.7097 | 168 | 0.9197 | 0.6170 | 0.9197 | 0.9590 |
| No log | 2.7419 | 170 | 1.0675 | 0.6060 | 1.0675 | 1.0332 |
| No log | 2.7742 | 172 | 1.2746 | 0.5428 | 1.2746 | 1.1290 |
| No log | 2.8065 | 174 | 1.2862 | 0.5345 | 1.2862 | 1.1341 |
| No log | 2.8387 | 176 | 1.1289 | 0.5471 | 1.1289 | 1.0625 |
| No log | 2.8710 | 178 | 0.9628 | 0.6069 | 0.9628 | 0.9812 |
| No log | 2.9032 | 180 | 0.8764 | 0.6188 | 0.8764 | 0.9362 |
| No log | 2.9355 | 182 | 0.8741 | 0.6167 | 0.8741 | 0.9349 |
| No log | 2.9677 | 184 | 0.8361 | 0.6015 | 0.8361 | 0.9144 |
| No log | 3.0 | 186 | 0.8981 | 0.6357 | 0.8981 | 0.9477 |
| No log | 3.0323 | 188 | 1.1116 | 0.5651 | 1.1116 | 1.0543 |
| No log | 3.0645 | 190 | 1.3462 | 0.5249 | 1.3462 | 1.1603 |
| No log | 3.0968 | 192 | 1.3617 | 0.5330 | 1.3617 | 1.1669 |
| No log | 3.1290 | 194 | 1.2764 | 0.5537 | 1.2764 | 1.1298 |
| No log | 3.1613 | 196 | 1.0644 | 0.5580 | 1.0644 | 1.0317 |
| No log | 3.1935 | 198 | 0.9700 | 0.5499 | 0.9700 | 0.9849 |
| No log | 3.2258 | 200 | 0.9341 | 0.5503 | 0.9341 | 0.9665 |
| No log | 3.2581 | 202 | 0.9447 | 0.5577 | 0.9447 | 0.9720 |
| No log | 3.2903 | 204 | 0.9851 | 0.5339 | 0.9851 | 0.9925 |
| No log | 3.3226 | 206 | 1.1101 | 0.5555 | 1.1101 | 1.0536 |
| No log | 3.3548 | 208 | 1.3794 | 0.5453 | 1.3794 | 1.1745 |
| No log | 3.3871 | 210 | 1.4240 | 0.5453 | 1.4240 | 1.1933 |
| No log | 3.4194 | 212 | 1.2304 | 0.5654 | 1.2304 | 1.1092 |
| No log | 3.4516 | 214 | 0.9492 | 0.5992 | 0.9492 | 0.9743 |
| No log | 3.4839 | 216 | 0.7915 | 0.6508 | 0.7915 | 0.8896 |
| No log | 3.5161 | 218 | 0.7655 | 0.6595 | 0.7655 | 0.8749 |
| No log | 3.5484 | 220 | 0.8073 | 0.6406 | 0.8073 | 0.8985 |
| No log | 3.5806 | 222 | 0.8919 | 0.6561 | 0.8919 | 0.9444 |
| No log | 3.6129 | 224 | 0.9906 | 0.6009 | 0.9906 | 0.9953 |
| No log | 3.6452 | 226 | 1.0980 | 0.5430 | 1.0980 | 1.0479 |
| No log | 3.6774 | 228 | 1.1227 | 0.5376 | 1.1227 | 1.0596 |
| No log | 3.7097 | 230 | 1.0812 | 0.5430 | 1.0812 | 1.0398 |
| No log | 3.7419 | 232 | 1.0066 | 0.6136 | 1.0066 | 1.0033 |
| No log | 3.7742 | 234 | 0.9241 | 0.6454 | 0.9241 | 0.9613 |
| No log | 3.8065 | 236 | 0.8599 | 0.6527 | 0.8599 | 0.9273 |
| No log | 3.8387 | 238 | 0.8311 | 0.6679 | 0.8311 | 0.9117 |
| No log | 3.8710 | 240 | 0.8318 | 0.6554 | 0.8318 | 0.9120 |
| No log | 3.9032 | 242 | 0.8521 | 0.6579 | 0.8521 | 0.9231 |
| No log | 3.9355 | 244 | 0.9855 | 0.6030 | 0.9855 | 0.9927 |
| No log | 3.9677 | 246 | 1.2440 | 0.5666 | 1.2440 | 1.1154 |
| No log | 4.0 | 248 | 1.3935 | 0.5427 | 1.3935 | 1.1805 |
| No log | 4.0323 | 250 | 1.3582 | 0.5427 | 1.3582 | 1.1654 |
| No log | 4.0645 | 252 | 1.1557 | 0.5634 | 1.1557 | 1.0750 |
| No log | 4.0968 | 254 | 0.9451 | 0.5878 | 0.9451 | 0.9722 |
| No log | 4.1290 | 256 | 0.8644 | 0.6040 | 0.8644 | 0.9297 |
| No log | 4.1613 | 258 | 0.8362 | 0.6130 | 0.8362 | 0.9144 |
| No log | 4.1935 | 260 | 0.8904 | 0.5943 | 0.8904 | 0.9436 |
| No log | 4.2258 | 262 | 0.9833 | 0.5574 | 0.9833 | 0.9916 |
| No log | 4.2581 | 264 | 0.9793 | 0.5656 | 0.9793 | 0.9896 |
| No log | 4.2903 | 266 | 0.9607 | 0.5828 | 0.9607 | 0.9801 |
| No log | 4.3226 | 268 | 0.8745 | 0.6280 | 0.8745 | 0.9351 |
| No log | 4.3548 | 270 | 0.7647 | 0.6487 | 0.7647 | 0.8744 |
| No log | 4.3871 | 272 | 0.7355 | 0.6619 | 0.7355 | 0.8576 |
| No log | 4.4194 | 274 | 0.7347 | 0.6827 | 0.7347 | 0.8572 |
| No log | 4.4516 | 276 | 0.7648 | 0.6796 | 0.7648 | 0.8745 |
| No log | 4.4839 | 278 | 0.7667 | 0.6803 | 0.7667 | 0.8756 |
| No log | 4.5161 | 280 | 0.7203 | 0.6868 | 0.7203 | 0.8487 |
| No log | 4.5484 | 282 | 0.6977 | 0.7101 | 0.6977 | 0.8353 |
| No log | 4.5806 | 284 | 0.6675 | 0.7441 | 0.6675 | 0.8170 |
| No log | 4.6129 | 286 | 0.6699 | 0.7269 | 0.6699 | 0.8185 |
| No log | 4.6452 | 288 | 0.7013 | 0.7020 | 0.7013 | 0.8374 |
| No log | 4.6774 | 290 | 0.7102 | 0.6851 | 0.7102 | 0.8428 |
| No log | 4.7097 | 292 | 0.7398 | 0.6892 | 0.7398 | 0.8601 |
| No log | 4.7419 | 294 | 0.7756 | 0.6896 | 0.7756 | 0.8807 |
| No log | 4.7742 | 296 | 0.7643 | 0.6843 | 0.7643 | 0.8743 |
| No log | 4.8065 | 298 | 0.6990 | 0.7279 | 0.6990 | 0.8360 |
| No log | 4.8387 | 300 | 0.6779 | 0.7671 | 0.6779 | 0.8234 |
| No log | 4.8710 | 302 | 0.6533 | 0.7597 | 0.6533 | 0.8083 |
| No log | 4.9032 | 304 | 0.6459 | 0.7462 | 0.6459 | 0.8037 |
| No log | 4.9355 | 306 | 0.6478 | 0.7477 | 0.6478 | 0.8048 |
| No log | 4.9677 | 308 | 0.6540 | 0.7552 | 0.6540 | 0.8087 |
| No log | 5.0 | 310 | 0.6915 | 0.7467 | 0.6915 | 0.8316 |
| No log | 5.0323 | 312 | 0.7781 | 0.6575 | 0.7781 | 0.8821 |
| No log | 5.0645 | 314 | 0.8901 | 0.6153 | 0.8901 | 0.9435 |
| No log | 5.0968 | 316 | 0.9716 | 0.5915 | 0.9716 | 0.9857 |
| No log | 5.1290 | 318 | 0.9471 | 0.5985 | 0.9471 | 0.9732 |
| No log | 5.1613 | 320 | 0.8863 | 0.6167 | 0.8863 | 0.9414 |
| No log | 5.1935 | 322 | 0.8494 | 0.6806 | 0.8494 | 0.9217 |
| No log | 5.2258 | 324 | 0.7892 | 0.7204 | 0.7892 | 0.8884 |
| No log | 5.2581 | 326 | 0.7645 | 0.7360 | 0.7645 | 0.8743 |
| No log | 5.2903 | 328 | 0.7567 | 0.7482 | 0.7567 | 0.8699 |
| No log | 5.3226 | 330 | 0.7383 | 0.7493 | 0.7383 | 0.8592 |
| No log | 5.3548 | 332 | 0.6798 | 0.7745 | 0.6798 | 0.8245 |
| No log | 5.3871 | 334 | 0.6496 | 0.7482 | 0.6496 | 0.8060 |
| No log | 5.4194 | 336 | 0.6289 | 0.7329 | 0.6289 | 0.7930 |
| No log | 5.4516 | 338 | 0.6311 | 0.7414 | 0.6311 | 0.7944 |
| No log | 5.4839 | 340 | 0.6511 | 0.7497 | 0.6511 | 0.8069 |
| No log | 5.5161 | 342 | 0.7194 | 0.7419 | 0.7194 | 0.8482 |
| No log | 5.5484 | 344 | 0.8464 | 0.7088 | 0.8464 | 0.9200 |
| No log | 5.5806 | 346 | 0.8730 | 0.6821 | 0.8730 | 0.9343 |
| No log | 5.6129 | 348 | 0.8405 | 0.6985 | 0.8405 | 0.9168 |
| No log | 5.6452 | 350 | 0.7717 | 0.6938 | 0.7717 | 0.8785 |
| No log | 5.6774 | 352 | 0.7074 | 0.7311 | 0.7074 | 0.8411 |
| No log | 5.7097 | 354 | 0.6872 | 0.7295 | 0.6872 | 0.8290 |
| No log | 5.7419 | 356 | 0.6975 | 0.7359 | 0.6975 | 0.8352 |
| No log | 5.7742 | 358 | 0.7218 | 0.7179 | 0.7218 | 0.8496 |
| No log | 5.8065 | 360 | 0.7737 | 0.6900 | 0.7737 | 0.8796 |
| No log | 5.8387 | 362 | 0.7896 | 0.7019 | 0.7896 | 0.8886 |
| No log | 5.8710 | 364 | 0.7765 | 0.7190 | 0.7765 | 0.8812 |
| No log | 5.9032 | 366 | 0.7529 | 0.7232 | 0.7529 | 0.8677 |
| No log | 5.9355 | 368 | 0.7143 | 0.7146 | 0.7143 | 0.8451 |
| No log | 5.9677 | 370 | 0.6813 | 0.7434 | 0.6813 | 0.8254 |
| No log | 6.0 | 372 | 0.6566 | 0.7589 | 0.6566 | 0.8103 |
| No log | 6.0323 | 374 | 0.6437 | 0.7488 | 0.6437 | 0.8023 |
| No log | 6.0645 | 376 | 0.6474 | 0.7549 | 0.6474 | 0.8046 |
| No log | 6.0968 | 378 | 0.6783 | 0.7715 | 0.6783 | 0.8236 |
| No log | 6.1290 | 380 | 0.7712 | 0.7101 | 0.7712 | 0.8782 |
| No log | 6.1613 | 382 | 0.8639 | 0.6771 | 0.8639 | 0.9295 |
| No log | 6.1935 | 384 | 0.9025 | 0.6655 | 0.9025 | 0.9500 |
| No log | 6.2258 | 386 | 0.8676 | 0.6771 | 0.8676 | 0.9314 |
| No log | 6.2581 | 388 | 0.8006 | 0.6995 | 0.8006 | 0.8948 |
| No log | 6.2903 | 390 | 0.7503 | 0.7157 | 0.7503 | 0.8662 |
| No log | 6.3226 | 392 | 0.7180 | 0.7116 | 0.7180 | 0.8474 |
| No log | 6.3548 | 394 | 0.6863 | 0.7387 | 0.6863 | 0.8284 |
| No log | 6.3871 | 396 | 0.6854 | 0.7403 | 0.6854 | 0.8279 |
| No log | 6.4194 | 398 | 0.7076 | 0.7220 | 0.7076 | 0.8412 |
| No log | 6.4516 | 400 | 0.7172 | 0.7243 | 0.7172 | 0.8469 |
| No log | 6.4839 | 402 | 0.6988 | 0.7372 | 0.6988 | 0.8359 |
| No log | 6.5161 | 404 | 0.6983 | 0.7372 | 0.6983 | 0.8356 |
| No log | 6.5484 | 406 | 0.7188 | 0.7386 | 0.7188 | 0.8478 |
| No log | 6.5806 | 408 | 0.7479 | 0.7280 | 0.7479 | 0.8648 |
| No log | 6.6129 | 410 | 0.7455 | 0.7173 | 0.7455 | 0.8634 |
| No log | 6.6452 | 412 | 0.7737 | 0.6980 | 0.7737 | 0.8796 |
| No log | 6.6774 | 414 | 0.8143 | 0.6922 | 0.8143 | 0.9024 |
| No log | 6.7097 | 416 | 0.8087 | 0.7019 | 0.8087 | 0.8993 |
| No log | 6.7419 | 418 | 0.7924 | 0.6979 | 0.7924 | 0.8902 |
| No log | 6.7742 | 420 | 0.7643 | 0.6918 | 0.7643 | 0.8743 |
| No log | 6.8065 | 422 | 0.7366 | 0.7303 | 0.7366 | 0.8582 |
| No log | 6.8387 | 424 | 0.7220 | 0.7303 | 0.7220 | 0.8497 |
| No log | 6.8710 | 426 | 0.7135 | 0.7303 | 0.7135 | 0.8447 |
| No log | 6.9032 | 428 | 0.6936 | 0.7333 | 0.6936 | 0.8328 |
| No log | 6.9355 | 430 | 0.6804 | 0.7628 | 0.6804 | 0.8248 |
| No log | 6.9677 | 432 | 0.6998 | 0.7493 | 0.6998 | 0.8365 |
| No log | 7.0 | 434 | 0.7403 | 0.7396 | 0.7403 | 0.8604 |
| No log | 7.0323 | 436 | 0.7739 | 0.7387 | 0.7739 | 0.8797 |
| No log | 7.0645 | 438 | 0.7675 | 0.7430 | 0.7675 | 0.8761 |
| No log | 7.0968 | 440 | 0.7156 | 0.7366 | 0.7156 | 0.8459 |
| No log | 7.1290 | 442 | 0.6874 | 0.7580 | 0.6874 | 0.8291 |
| No log | 7.1613 | 444 | 0.7085 | 0.7510 | 0.7085 | 0.8417 |
| No log | 7.1935 | 446 | 0.7345 | 0.7401 | 0.7345 | 0.8571 |
| No log | 7.2258 | 448 | 0.7591 | 0.7430 | 0.7591 | 0.8713 |
| No log | 7.2581 | 450 | 0.7320 | 0.7396 | 0.7320 | 0.8556 |
| No log | 7.2903 | 452 | 0.6973 | 0.7427 | 0.6973 | 0.8351 |
| No log | 7.3226 | 454 | 0.6591 | 0.7470 | 0.6591 | 0.8119 |
| No log | 7.3548 | 456 | 0.6439 | 0.7505 | 0.6439 | 0.8024 |
| No log | 7.3871 | 458 | 0.6516 | 0.7387 | 0.6516 | 0.8072 |
| No log | 7.4194 | 460 | 0.6732 | 0.7403 | 0.6732 | 0.8205 |
| No log | 7.4516 | 462 | 0.6928 | 0.7287 | 0.6928 | 0.8323 |
| No log | 7.4839 | 464 | 0.7112 | 0.7219 | 0.7112 | 0.8433 |
| No log | 7.5161 | 466 | 0.7377 | 0.7171 | 0.7377 | 0.8589 |
| No log | 7.5484 | 468 | 0.7653 | 0.7210 | 0.7653 | 0.8748 |
| No log | 7.5806 | 470 | 0.7709 | 0.7211 | 0.7709 | 0.8780 |
| No log | 7.6129 | 472 | 0.7595 | 0.7101 | 0.7595 | 0.8715 |
| No log | 7.6452 | 474 | 0.7235 | 0.7390 | 0.7235 | 0.8506 |
| No log | 7.6774 | 476 | 0.6856 | 0.7661 | 0.6856 | 0.8280 |
| No log | 7.7097 | 478 | 0.6675 | 0.7741 | 0.6675 | 0.8170 |
| No log | 7.7419 | 480 | 0.6584 | 0.7684 | 0.6584 | 0.8114 |
| No log | 7.7742 | 482 | 0.6563 | 0.7684 | 0.6563 | 0.8101 |
| No log | 7.8065 | 484 | 0.6736 | 0.7697 | 0.6736 | 0.8207 |
| No log | 7.8387 | 486 | 0.6800 | 0.7503 | 0.6800 | 0.8246 |
| No log | 7.8710 | 488 | 0.6947 | 0.7449 | 0.6947 | 0.8335 |
| No log | 7.9032 | 490 | 0.7293 | 0.7375 | 0.7293 | 0.8540 |
| No log | 7.9355 | 492 | 0.7612 | 0.7076 | 0.7612 | 0.8725 |
| No log | 7.9677 | 494 | 0.7812 | 0.7134 | 0.7812 | 0.8838 |
| No log | 8.0 | 496 | 0.7800 | 0.7134 | 0.7800 | 0.8832 |
| No log | 8.0323 | 498 | 0.7774 | 0.7076 | 0.7774 | 0.8817 |
| 0.3068 | 8.0645 | 500 | 0.7627 | 0.7175 | 0.7627 | 0.8733 |
| 0.3068 | 8.0968 | 502 | 0.7262 | 0.7498 | 0.7262 | 0.8522 |
| 0.3068 | 8.1290 | 504 | 0.7058 | 0.7383 | 0.7058 | 0.8401 |
| 0.3068 | 8.1613 | 506 | 0.6958 | 0.7390 | 0.6958 | 0.8341 |
| 0.3068 | 8.1935 | 508 | 0.7025 | 0.7390 | 0.7025 | 0.8382 |
| 0.3068 | 8.2258 | 510 | 0.7224 | 0.7498 | 0.7224 | 0.8499 |
| 0.3068 | 8.2581 | 512 | 0.7422 | 0.7396 | 0.7422 | 0.8615 |
| 0.3068 | 8.2903 | 514 | 0.7583 | 0.7432 | 0.7583 | 0.8708 |
| 0.3068 | 8.3226 | 516 | 0.7821 | 0.7183 | 0.7821 | 0.8843 |
| 0.3068 | 8.3548 | 518 | 0.8032 | 0.6981 | 0.8032 | 0.8962 |
| 0.3068 | 8.3871 | 520 | 0.8047 | 0.6981 | 0.8047 | 0.8971 |
| 0.3068 | 8.4194 | 522 | 0.8036 | 0.6981 | 0.8036 | 0.8964 |
| 0.3068 | 8.4516 | 524 | 0.7884 | 0.7088 | 0.7884 | 0.8879 |
| 0.3068 | 8.4839 | 526 | 0.7692 | 0.7253 | 0.7692 | 0.8770 |
| 0.3068 | 8.5161 | 528 | 0.7460 | 0.7418 | 0.7460 | 0.8637 |
| 0.3068 | 8.5484 | 530 | 0.7338 | 0.7418 | 0.7338 | 0.8566 |
| 0.3068 | 8.5806 | 532 | 0.7387 | 0.7418 | 0.7387 | 0.8595 |
| 0.3068 | 8.6129 | 534 | 0.7475 | 0.7418 | 0.7475 | 0.8646 |
| 0.3068 | 8.6452 | 536 | 0.7682 | 0.7268 | 0.7682 | 0.8765 |
| 0.3068 | 8.6774 | 538 | 0.8067 | 0.6861 | 0.8067 | 0.8981 |
| 0.3068 | 8.7097 | 540 | 0.8332 | 0.6800 | 0.8332 | 0.9128 |
| 0.3068 | 8.7419 | 542 | 0.8368 | 0.6807 | 0.8368 | 0.9147 |
| 0.3068 | 8.7742 | 544 | 0.8181 | 0.6861 | 0.8181 | 0.9045 |
| 0.3068 | 8.8065 | 546 | 0.7978 | 0.6927 | 0.7978 | 0.8932 |
| 0.3068 | 8.8387 | 548 | 0.7768 | 0.7233 | 0.7768 | 0.8814 |
| 0.3068 | 8.8710 | 550 | 0.7589 | 0.7374 | 0.7589 | 0.8712 |
| 0.3068 | 8.9032 | 552 | 0.7462 | 0.7495 | 0.7462 | 0.8639 |
| 0.3068 | 8.9355 | 554 | 0.7394 | 0.7495 | 0.7394 | 0.8599 |
| 0.3068 | 8.9677 | 556 | 0.7463 | 0.7495 | 0.7463 | 0.8639 |
| 0.3068 | 9.0 | 558 | 0.7480 | 0.7495 | 0.7480 | 0.8649 |
| 0.3068 | 9.0323 | 560 | 0.7406 | 0.7459 | 0.7406 | 0.8606 |
| 0.3068 | 9.0645 | 562 | 0.7407 | 0.7459 | 0.7407 | 0.8606 |
| 0.3068 | 9.0968 | 564 | 0.7441 | 0.7459 | 0.7441 | 0.8626 |
| 0.3068 | 9.1290 | 566 | 0.7502 | 0.7338 | 0.7502 | 0.8661 |
| 0.3068 | 9.1613 | 568 | 0.7523 | 0.7338 | 0.7523 | 0.8673 |
| 0.3068 | 9.1935 | 570 | 0.7517 | 0.7338 | 0.7517 | 0.8670 |
| 0.3068 | 9.2258 | 572 | 0.7514 | 0.7338 | 0.7514 | 0.8668 |
| 0.3068 | 9.2581 | 574 | 0.7478 | 0.7338 | 0.7478 | 0.8648 |
| 0.3068 | 9.2903 | 576 | 0.7399 | 0.7338 | 0.7399 | 0.8602 |
| 0.3068 | 9.3226 | 578 | 0.7314 | 0.7338 | 0.7314 | 0.8552 |
| 0.3068 | 9.3548 | 580 | 0.7201 | 0.7560 | 0.7201 | 0.8486 |
| 0.3068 | 9.3871 | 582 | 0.7110 | 0.7766 | 0.7110 | 0.8432 |
| 0.3068 | 9.4194 | 584 | 0.7025 | 0.7692 | 0.7025 | 0.8382 |
| 0.3068 | 9.4516 | 586 | 0.6973 | 0.7717 | 0.6973 | 0.8351 |
| 0.3068 | 9.4839 | 588 | 0.6996 | 0.7692 | 0.6996 | 0.8364 |
| 0.3068 | 9.5161 | 590 | 0.7065 | 0.7766 | 0.7065 | 0.8405 |
| 0.3068 | 9.5484 | 592 | 0.7096 | 0.7766 | 0.7096 | 0.8424 |
| 0.3068 | 9.5806 | 594 | 0.7103 | 0.7662 | 0.7103 | 0.8428 |
| 0.3068 | 9.6129 | 596 | 0.7083 | 0.7662 | 0.7083 | 0.8416 |
| 0.3068 | 9.6452 | 598 | 0.7092 | 0.7662 | 0.7092 | 0.8421 |
| 0.3068 | 9.6774 | 600 | 0.7114 | 0.7662 | 0.7114 | 0.8434 |
| 0.3068 | 9.7097 | 602 | 0.7126 | 0.7560 | 0.7126 | 0.8442 |
| 0.3068 | 9.7419 | 604 | 0.7135 | 0.7459 | 0.7135 | 0.8447 |
| 0.3068 | 9.7742 | 606 | 0.7155 | 0.7459 | 0.7155 | 0.8459 |
| 0.3068 | 9.8065 | 608 | 0.7185 | 0.7459 | 0.7185 | 0.8476 |
| 0.3068 | 9.8387 | 610 | 0.7184 | 0.7459 | 0.7184 | 0.8476 |
| 0.3068 | 9.8710 | 612 | 0.7185 | 0.7459 | 0.7185 | 0.8476 |
| 0.3068 | 9.9032 | 614 | 0.7185 | 0.7459 | 0.7185 | 0.8476 |
| 0.3068 | 9.9355 | 616 | 0.7190 | 0.7459 | 0.7190 | 0.8479 |
| 0.3068 | 9.9677 | 618 | 0.7193 | 0.7459 | 0.7193 | 0.8481 |
| 0.3068 | 10.0 | 620 | 0.7192 | 0.7459 | 0.7192 | 0.8481 |
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_run1_AugV5_k13_task5_organization
Base model
aubmindlab/bert-base-arabertv02