Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k10_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_k10_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_k10_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k10_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k10_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k10_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: 0.9066
- Qwk: 0.6938
- Mse: 0.9066
- Rmse: 0.9522
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 | 0.0417 | 2 | 2.2703 | 0.0081 | 2.2703 | 1.5068 |
| No log | 0.0833 | 4 | 1.5616 | 0.1720 | 1.5616 | 1.2497 |
| No log | 0.125 | 6 | 1.3879 | 0.2376 | 1.3879 | 1.1781 |
| No log | 0.1667 | 8 | 1.3112 | 0.2123 | 1.3112 | 1.1451 |
| No log | 0.2083 | 10 | 1.3398 | 0.2139 | 1.3398 | 1.1575 |
| No log | 0.25 | 12 | 1.4467 | 0.2527 | 1.4467 | 1.2028 |
| No log | 0.2917 | 14 | 1.5851 | 0.1200 | 1.5851 | 1.2590 |
| No log | 0.3333 | 16 | 1.7170 | 0.0442 | 1.7170 | 1.3104 |
| No log | 0.375 | 18 | 1.7910 | 0.0060 | 1.7910 | 1.3383 |
| No log | 0.4167 | 20 | 1.4769 | 0.1666 | 1.4769 | 1.2153 |
| No log | 0.4583 | 22 | 1.3304 | 0.2165 | 1.3304 | 1.1534 |
| No log | 0.5 | 24 | 1.4489 | 0.3739 | 1.4489 | 1.2037 |
| No log | 0.5417 | 26 | 1.3007 | 0.2225 | 1.3007 | 1.1405 |
| No log | 0.5833 | 28 | 1.1619 | 0.3115 | 1.1619 | 1.0779 |
| No log | 0.625 | 30 | 1.1436 | 0.3291 | 1.1436 | 1.0694 |
| No log | 0.6667 | 32 | 1.1304 | 0.3912 | 1.1304 | 1.0632 |
| No log | 0.7083 | 34 | 1.1186 | 0.4033 | 1.1186 | 1.0576 |
| No log | 0.75 | 36 | 1.0828 | 0.4230 | 1.0828 | 1.0406 |
| No log | 0.7917 | 38 | 1.0550 | 0.4650 | 1.0550 | 1.0271 |
| No log | 0.8333 | 40 | 1.0306 | 0.4732 | 1.0306 | 1.0152 |
| No log | 0.875 | 42 | 1.0009 | 0.4971 | 1.0009 | 1.0005 |
| No log | 0.9167 | 44 | 0.9848 | 0.5155 | 0.9848 | 0.9923 |
| No log | 0.9583 | 46 | 0.9664 | 0.4875 | 0.9664 | 0.9831 |
| No log | 1.0 | 48 | 1.0324 | 0.5266 | 1.0324 | 1.0161 |
| No log | 1.0417 | 50 | 1.1485 | 0.4809 | 1.1485 | 1.0717 |
| No log | 1.0833 | 52 | 1.1543 | 0.4664 | 1.1543 | 1.0744 |
| No log | 1.125 | 54 | 1.1153 | 0.4716 | 1.1153 | 1.0561 |
| No log | 1.1667 | 56 | 1.0038 | 0.5041 | 1.0038 | 1.0019 |
| No log | 1.2083 | 58 | 0.9263 | 0.5192 | 0.9263 | 0.9624 |
| No log | 1.25 | 60 | 0.9615 | 0.5059 | 0.9615 | 0.9806 |
| No log | 1.2917 | 62 | 0.9143 | 0.5664 | 0.9143 | 0.9562 |
| No log | 1.3333 | 64 | 0.9445 | 0.5295 | 0.9445 | 0.9719 |
| No log | 1.375 | 66 | 1.0287 | 0.5427 | 1.0287 | 1.0143 |
| No log | 1.4167 | 68 | 0.9394 | 0.5162 | 0.9394 | 0.9692 |
| No log | 1.4583 | 70 | 0.8959 | 0.5790 | 0.8959 | 0.9465 |
| No log | 1.5 | 72 | 0.8865 | 0.6083 | 0.8865 | 0.9416 |
| No log | 1.5417 | 74 | 0.8816 | 0.5817 | 0.8816 | 0.9390 |
| No log | 1.5833 | 76 | 0.9661 | 0.5053 | 0.9661 | 0.9829 |
| No log | 1.625 | 78 | 0.9640 | 0.5229 | 0.9640 | 0.9818 |
| No log | 1.6667 | 80 | 0.8579 | 0.5817 | 0.8579 | 0.9262 |
| No log | 1.7083 | 82 | 1.0566 | 0.5954 | 1.0566 | 1.0279 |
| No log | 1.75 | 84 | 1.3365 | 0.4823 | 1.3365 | 1.1561 |
| No log | 1.7917 | 86 | 1.1676 | 0.5322 | 1.1676 | 1.0806 |
| No log | 1.8333 | 88 | 0.8767 | 0.5433 | 0.8767 | 0.9363 |
| No log | 1.875 | 90 | 0.9412 | 0.5189 | 0.9412 | 0.9701 |
| No log | 1.9167 | 92 | 0.9573 | 0.5028 | 0.9573 | 0.9784 |
| No log | 1.9583 | 94 | 0.8625 | 0.5714 | 0.8625 | 0.9287 |
| No log | 2.0 | 96 | 0.8840 | 0.5656 | 0.8840 | 0.9402 |
| No log | 2.0417 | 98 | 1.0551 | 0.6177 | 1.0551 | 1.0272 |
| No log | 2.0833 | 100 | 1.0963 | 0.6041 | 1.0963 | 1.0471 |
| No log | 2.125 | 102 | 0.9190 | 0.6445 | 0.9190 | 0.9586 |
| No log | 2.1667 | 104 | 0.7907 | 0.6394 | 0.7907 | 0.8892 |
| No log | 2.2083 | 106 | 0.7909 | 0.6763 | 0.7909 | 0.8893 |
| No log | 2.25 | 108 | 0.9917 | 0.6374 | 0.9917 | 0.9958 |
| No log | 2.2917 | 110 | 1.2299 | 0.5865 | 1.2299 | 1.1090 |
| No log | 2.3333 | 112 | 1.1823 | 0.6145 | 1.1823 | 1.0873 |
| No log | 2.375 | 114 | 0.9382 | 0.6685 | 0.9382 | 0.9686 |
| No log | 2.4167 | 116 | 0.7388 | 0.6605 | 0.7388 | 0.8595 |
| No log | 2.4583 | 118 | 0.7341 | 0.6614 | 0.7341 | 0.8568 |
| No log | 2.5 | 120 | 0.8454 | 0.6451 | 0.8454 | 0.9195 |
| No log | 2.5417 | 122 | 1.0259 | 0.6440 | 1.0259 | 1.0129 |
| No log | 2.5833 | 124 | 1.3283 | 0.5745 | 1.3283 | 1.1525 |
| No log | 2.625 | 126 | 1.4860 | 0.4949 | 1.4860 | 1.2190 |
| No log | 2.6667 | 128 | 1.3136 | 0.5704 | 1.3136 | 1.1461 |
| No log | 2.7083 | 130 | 0.8845 | 0.6679 | 0.8845 | 0.9405 |
| No log | 2.75 | 132 | 0.6894 | 0.6754 | 0.6894 | 0.8303 |
| No log | 2.7917 | 134 | 0.6833 | 0.6497 | 0.6833 | 0.8266 |
| No log | 2.8333 | 136 | 0.7641 | 0.6482 | 0.7641 | 0.8741 |
| No log | 2.875 | 138 | 1.1395 | 0.5821 | 1.1395 | 1.0675 |
| No log | 2.9167 | 140 | 1.5976 | 0.4861 | 1.5976 | 1.2639 |
| No log | 2.9583 | 142 | 1.6780 | 0.4857 | 1.6780 | 1.2954 |
| No log | 3.0 | 144 | 1.4274 | 0.4999 | 1.4274 | 1.1947 |
| No log | 3.0417 | 146 | 1.0403 | 0.6207 | 1.0403 | 1.0199 |
| No log | 3.0833 | 148 | 0.7585 | 0.6378 | 0.7585 | 0.8709 |
| No log | 3.125 | 150 | 0.7455 | 0.6540 | 0.7455 | 0.8634 |
| No log | 3.1667 | 152 | 0.8011 | 0.6276 | 0.8011 | 0.8950 |
| No log | 3.2083 | 154 | 1.0303 | 0.6353 | 1.0303 | 1.0150 |
| No log | 3.25 | 156 | 1.3325 | 0.5307 | 1.3325 | 1.1543 |
| No log | 3.2917 | 158 | 1.3499 | 0.4971 | 1.3499 | 1.1618 |
| No log | 3.3333 | 160 | 1.1709 | 0.5602 | 1.1709 | 1.0821 |
| No log | 3.375 | 162 | 0.8959 | 0.6434 | 0.8959 | 0.9465 |
| No log | 3.4167 | 164 | 0.7815 | 0.6089 | 0.7815 | 0.8840 |
| No log | 3.4583 | 166 | 0.7716 | 0.6326 | 0.7716 | 0.8784 |
| No log | 3.5 | 168 | 0.7912 | 0.6195 | 0.7912 | 0.8895 |
| No log | 3.5417 | 170 | 0.8722 | 0.6424 | 0.8722 | 0.9339 |
| No log | 3.5833 | 172 | 0.9521 | 0.6616 | 0.9521 | 0.9758 |
| No log | 3.625 | 174 | 1.0655 | 0.6335 | 1.0655 | 1.0322 |
| No log | 3.6667 | 176 | 1.1863 | 0.5775 | 1.1863 | 1.0892 |
| No log | 3.7083 | 178 | 1.2788 | 0.5765 | 1.2788 | 1.1308 |
| No log | 3.75 | 180 | 1.1235 | 0.5915 | 1.1235 | 1.0599 |
| No log | 3.7917 | 182 | 0.9206 | 0.6953 | 0.9206 | 0.9595 |
| No log | 3.8333 | 184 | 0.7858 | 0.6638 | 0.7858 | 0.8864 |
| No log | 3.875 | 186 | 0.7984 | 0.6584 | 0.7984 | 0.8936 |
| No log | 3.9167 | 188 | 0.8730 | 0.6907 | 0.8730 | 0.9343 |
| No log | 3.9583 | 190 | 0.9510 | 0.6723 | 0.9510 | 0.9752 |
| No log | 4.0 | 192 | 1.0290 | 0.6271 | 1.0290 | 1.0144 |
| No log | 4.0417 | 194 | 0.9955 | 0.6508 | 0.9955 | 0.9977 |
| No log | 4.0833 | 196 | 0.9097 | 0.6795 | 0.9097 | 0.9538 |
| No log | 4.125 | 198 | 0.8775 | 0.6732 | 0.8775 | 0.9368 |
| No log | 4.1667 | 200 | 0.8509 | 0.6865 | 0.8509 | 0.9224 |
| No log | 4.2083 | 202 | 0.8314 | 0.6694 | 0.8314 | 0.9118 |
| No log | 4.25 | 204 | 0.9338 | 0.6696 | 0.9338 | 0.9663 |
| No log | 4.2917 | 206 | 1.0840 | 0.6159 | 1.0840 | 1.0411 |
| No log | 4.3333 | 208 | 1.0525 | 0.6097 | 1.0525 | 1.0259 |
| No log | 4.375 | 210 | 0.9074 | 0.6466 | 0.9074 | 0.9525 |
| No log | 4.4167 | 212 | 0.7841 | 0.6602 | 0.7841 | 0.8855 |
| No log | 4.4583 | 214 | 0.7266 | 0.6302 | 0.7266 | 0.8524 |
| No log | 4.5 | 216 | 0.7555 | 0.6653 | 0.7555 | 0.8692 |
| No log | 4.5417 | 218 | 0.8895 | 0.6769 | 0.8895 | 0.9431 |
| No log | 4.5833 | 220 | 1.0728 | 0.6064 | 1.0728 | 1.0358 |
| No log | 4.625 | 222 | 1.0542 | 0.6064 | 1.0542 | 1.0267 |
| No log | 4.6667 | 224 | 1.0201 | 0.6461 | 1.0201 | 1.0100 |
| No log | 4.7083 | 226 | 0.9886 | 0.6461 | 0.9886 | 0.9943 |
| No log | 4.75 | 228 | 0.9261 | 0.6524 | 0.9261 | 0.9624 |
| No log | 4.7917 | 230 | 0.9330 | 0.6469 | 0.9330 | 0.9659 |
| No log | 4.8333 | 232 | 0.9844 | 0.6289 | 0.9844 | 0.9922 |
| No log | 4.875 | 234 | 1.0500 | 0.5991 | 1.0500 | 1.0247 |
| No log | 4.9167 | 236 | 0.9982 | 0.6220 | 0.9982 | 0.9991 |
| No log | 4.9583 | 238 | 0.8733 | 0.6924 | 0.8733 | 0.9345 |
| No log | 5.0 | 240 | 0.8594 | 0.6832 | 0.8594 | 0.9270 |
| No log | 5.0417 | 242 | 0.8739 | 0.6894 | 0.8739 | 0.9348 |
| No log | 5.0833 | 244 | 0.8819 | 0.6984 | 0.8819 | 0.9391 |
| No log | 5.125 | 246 | 0.8493 | 0.6984 | 0.8493 | 0.9216 |
| No log | 5.1667 | 248 | 0.8200 | 0.7060 | 0.8200 | 0.9056 |
| No log | 5.2083 | 250 | 0.8479 | 0.7079 | 0.8479 | 0.9208 |
| No log | 5.25 | 252 | 0.9768 | 0.6533 | 0.9768 | 0.9883 |
| No log | 5.2917 | 254 | 1.0070 | 0.6410 | 1.0070 | 1.0035 |
| No log | 5.3333 | 256 | 1.0215 | 0.6476 | 1.0215 | 1.0107 |
| No log | 5.375 | 258 | 0.9150 | 0.6655 | 0.9150 | 0.9566 |
| No log | 5.4167 | 260 | 0.7832 | 0.7073 | 0.7832 | 0.8850 |
| No log | 5.4583 | 262 | 0.8208 | 0.7201 | 0.8208 | 0.9060 |
| No log | 5.5 | 264 | 0.9212 | 0.6648 | 0.9212 | 0.9598 |
| No log | 5.5417 | 266 | 1.1330 | 0.6004 | 1.1330 | 1.0644 |
| No log | 5.5833 | 268 | 1.2364 | 0.5672 | 1.2364 | 1.1120 |
| No log | 5.625 | 270 | 1.1397 | 0.5941 | 1.1397 | 1.0676 |
| No log | 5.6667 | 272 | 0.9388 | 0.7080 | 0.9388 | 0.9689 |
| No log | 5.7083 | 274 | 0.8262 | 0.6995 | 0.8262 | 0.9090 |
| No log | 5.75 | 276 | 0.8059 | 0.7086 | 0.8059 | 0.8977 |
| No log | 5.7917 | 278 | 0.8437 | 0.6976 | 0.8437 | 0.9185 |
| No log | 5.8333 | 280 | 0.9478 | 0.6914 | 0.9478 | 0.9736 |
| No log | 5.875 | 282 | 1.0022 | 0.6503 | 1.0022 | 1.0011 |
| No log | 5.9167 | 284 | 0.9191 | 0.6879 | 0.9191 | 0.9587 |
| No log | 5.9583 | 286 | 0.8389 | 0.6882 | 0.8389 | 0.9159 |
| No log | 6.0 | 288 | 0.8280 | 0.6844 | 0.8280 | 0.9099 |
| No log | 6.0417 | 290 | 0.7967 | 0.6984 | 0.7967 | 0.8926 |
| No log | 6.0833 | 292 | 0.8190 | 0.7093 | 0.8190 | 0.9050 |
| No log | 6.125 | 294 | 0.9241 | 0.6773 | 0.9241 | 0.9613 |
| No log | 6.1667 | 296 | 1.0325 | 0.6429 | 1.0325 | 1.0161 |
| No log | 6.2083 | 298 | 1.1626 | 0.5999 | 1.1626 | 1.0782 |
| No log | 6.25 | 300 | 1.1446 | 0.6058 | 1.1446 | 1.0699 |
| No log | 6.2917 | 302 | 1.0233 | 0.6506 | 1.0233 | 1.0116 |
| No log | 6.3333 | 304 | 0.8603 | 0.7007 | 0.8603 | 0.9275 |
| No log | 6.375 | 306 | 0.7344 | 0.6930 | 0.7344 | 0.8569 |
| No log | 6.4167 | 308 | 0.6994 | 0.6498 | 0.6994 | 0.8363 |
| No log | 6.4583 | 310 | 0.7077 | 0.6456 | 0.7077 | 0.8412 |
| No log | 6.5 | 312 | 0.7478 | 0.6665 | 0.7478 | 0.8648 |
| No log | 6.5417 | 314 | 0.8376 | 0.6887 | 0.8376 | 0.9152 |
| No log | 6.5833 | 316 | 0.9465 | 0.6654 | 0.9465 | 0.9729 |
| No log | 6.625 | 318 | 0.9858 | 0.6242 | 0.9858 | 0.9929 |
| No log | 6.6667 | 320 | 0.9780 | 0.6630 | 0.9780 | 0.9889 |
| No log | 6.7083 | 322 | 0.9142 | 0.6950 | 0.9142 | 0.9562 |
| No log | 6.75 | 324 | 0.8224 | 0.7181 | 0.8224 | 0.9069 |
| No log | 6.7917 | 326 | 0.8313 | 0.7107 | 0.8313 | 0.9118 |
| No log | 6.8333 | 328 | 0.8909 | 0.6926 | 0.8909 | 0.9439 |
| No log | 6.875 | 330 | 0.9544 | 0.6901 | 0.9544 | 0.9769 |
| No log | 6.9167 | 332 | 0.9649 | 0.6743 | 0.9649 | 0.9823 |
| No log | 6.9583 | 334 | 0.9696 | 0.6743 | 0.9696 | 0.9847 |
| No log | 7.0 | 336 | 0.9064 | 0.6981 | 0.9064 | 0.9520 |
| No log | 7.0417 | 338 | 0.8616 | 0.6976 | 0.8616 | 0.9282 |
| No log | 7.0833 | 340 | 0.7952 | 0.7101 | 0.7952 | 0.8918 |
| No log | 7.125 | 342 | 0.8006 | 0.7101 | 0.8006 | 0.8948 |
| No log | 7.1667 | 344 | 0.8669 | 0.6894 | 0.8669 | 0.9311 |
| No log | 7.2083 | 346 | 0.9291 | 0.6903 | 0.9291 | 0.9639 |
| No log | 7.25 | 348 | 0.9156 | 0.6903 | 0.9156 | 0.9569 |
| No log | 7.2917 | 350 | 0.8259 | 0.7246 | 0.8259 | 0.9088 |
| No log | 7.3333 | 352 | 0.7789 | 0.7317 | 0.7789 | 0.8826 |
| No log | 7.375 | 354 | 0.7500 | 0.7228 | 0.7500 | 0.8661 |
| No log | 7.4167 | 356 | 0.7480 | 0.7265 | 0.7480 | 0.8649 |
| No log | 7.4583 | 358 | 0.7666 | 0.7281 | 0.7666 | 0.8756 |
| No log | 7.5 | 360 | 0.7811 | 0.7083 | 0.7811 | 0.8838 |
| No log | 7.5417 | 362 | 0.8322 | 0.7136 | 0.8322 | 0.9123 |
| No log | 7.5833 | 364 | 0.8978 | 0.7123 | 0.8978 | 0.9475 |
| No log | 7.625 | 366 | 0.9581 | 0.6472 | 0.9581 | 0.9788 |
| No log | 7.6667 | 368 | 0.9562 | 0.6758 | 0.9562 | 0.9778 |
| No log | 7.7083 | 370 | 0.9663 | 0.6689 | 0.9663 | 0.9830 |
| No log | 7.75 | 372 | 0.9317 | 0.6973 | 0.9317 | 0.9653 |
| No log | 7.7917 | 374 | 0.8704 | 0.7154 | 0.8704 | 0.9329 |
| No log | 7.8333 | 376 | 0.8378 | 0.7138 | 0.8378 | 0.9153 |
| No log | 7.875 | 378 | 0.8116 | 0.7102 | 0.8116 | 0.9009 |
| No log | 7.9167 | 380 | 0.8236 | 0.7102 | 0.8236 | 0.9075 |
| No log | 7.9583 | 382 | 0.8317 | 0.7102 | 0.8317 | 0.9120 |
| No log | 8.0 | 384 | 0.8312 | 0.7102 | 0.8312 | 0.9117 |
| No log | 8.0417 | 386 | 0.8338 | 0.7102 | 0.8338 | 0.9131 |
| No log | 8.0833 | 388 | 0.8799 | 0.7071 | 0.8799 | 0.9381 |
| No log | 8.125 | 390 | 0.9395 | 0.6969 | 0.9395 | 0.9693 |
| No log | 8.1667 | 392 | 0.9822 | 0.6196 | 0.9822 | 0.9911 |
| No log | 8.2083 | 394 | 0.9945 | 0.6196 | 0.9945 | 0.9973 |
| No log | 8.25 | 396 | 0.9661 | 0.6479 | 0.9661 | 0.9829 |
| No log | 8.2917 | 398 | 0.9768 | 0.6479 | 0.9768 | 0.9883 |
| No log | 8.3333 | 400 | 0.9906 | 0.6383 | 0.9906 | 0.9953 |
| No log | 8.375 | 402 | 0.9696 | 0.6705 | 0.9696 | 0.9847 |
| No log | 8.4167 | 404 | 0.9576 | 0.6746 | 0.9576 | 0.9786 |
| No log | 8.4583 | 406 | 0.9559 | 0.6839 | 0.9559 | 0.9777 |
| No log | 8.5 | 408 | 0.9622 | 0.6839 | 0.9622 | 0.9809 |
| No log | 8.5417 | 410 | 0.9446 | 0.6839 | 0.9446 | 0.9719 |
| No log | 8.5833 | 412 | 0.9242 | 0.7004 | 0.9242 | 0.9613 |
| No log | 8.625 | 414 | 0.9323 | 0.7004 | 0.9323 | 0.9655 |
| No log | 8.6667 | 416 | 0.9575 | 0.6434 | 0.9575 | 0.9785 |
| No log | 8.7083 | 418 | 0.9761 | 0.6391 | 0.9761 | 0.9880 |
| No log | 8.75 | 420 | 0.9831 | 0.6271 | 0.9831 | 0.9915 |
| No log | 8.7917 | 422 | 0.9733 | 0.6271 | 0.9733 | 0.9866 |
| No log | 8.8333 | 424 | 0.9747 | 0.6271 | 0.9747 | 0.9873 |
| No log | 8.875 | 426 | 0.9969 | 0.6271 | 0.9969 | 0.9985 |
| No log | 8.9167 | 428 | 1.0280 | 0.6125 | 1.0280 | 1.0139 |
| No log | 8.9583 | 430 | 1.0383 | 0.6128 | 1.0383 | 1.0190 |
| No log | 9.0 | 432 | 1.0311 | 0.6230 | 1.0311 | 1.0154 |
| No log | 9.0417 | 434 | 1.0167 | 0.6215 | 1.0167 | 1.0083 |
| No log | 9.0833 | 436 | 1.0009 | 0.6152 | 1.0009 | 1.0005 |
| No log | 9.125 | 438 | 0.9773 | 0.6441 | 0.9773 | 0.9886 |
| No log | 9.1667 | 440 | 0.9503 | 0.6775 | 0.9503 | 0.9748 |
| No log | 9.2083 | 442 | 0.9147 | 0.6938 | 0.9147 | 0.9564 |
| No log | 9.25 | 444 | 0.8798 | 0.7048 | 0.8798 | 0.9380 |
| No log | 9.2917 | 446 | 0.8524 | 0.7076 | 0.8524 | 0.9233 |
| No log | 9.3333 | 448 | 0.8379 | 0.7076 | 0.8379 | 0.9153 |
| No log | 9.375 | 450 | 0.8225 | 0.7076 | 0.8225 | 0.9069 |
| No log | 9.4167 | 452 | 0.8117 | 0.7072 | 0.8117 | 0.9009 |
| No log | 9.4583 | 454 | 0.8080 | 0.7072 | 0.8080 | 0.8989 |
| No log | 9.5 | 456 | 0.8146 | 0.7076 | 0.8146 | 0.9025 |
| No log | 9.5417 | 458 | 0.8296 | 0.7076 | 0.8296 | 0.9108 |
| No log | 9.5833 | 460 | 0.8472 | 0.7055 | 0.8472 | 0.9205 |
| No log | 9.625 | 462 | 0.8632 | 0.7138 | 0.8632 | 0.9291 |
| No log | 9.6667 | 464 | 0.8794 | 0.7078 | 0.8794 | 0.9377 |
| No log | 9.7083 | 466 | 0.8928 | 0.7035 | 0.8928 | 0.9449 |
| No log | 9.75 | 468 | 0.9034 | 0.7035 | 0.9034 | 0.9505 |
| No log | 9.7917 | 470 | 0.9070 | 0.6938 | 0.9070 | 0.9524 |
| No log | 9.8333 | 472 | 0.9095 | 0.6938 | 0.9095 | 0.9537 |
| No log | 9.875 | 474 | 0.9109 | 0.6938 | 0.9109 | 0.9544 |
| No log | 9.9167 | 476 | 0.9095 | 0.6938 | 0.9095 | 0.9537 |
| No log | 9.9583 | 478 | 0.9077 | 0.6938 | 0.9077 | 0.9528 |
| No log | 10.0 | 480 | 0.9066 | 0.6938 | 0.9066 | 0.9522 |
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_k10_task5_organization
Base model
aubmindlab/bert-base-arabertv02