Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k1_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k1_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k1_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k1_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k1_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k1_task2_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: 0.8342
- Qwk: 0.5439
- Mse: 0.8342
- Rmse: 0.9133
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 | 0.3333 | 2 | 5.2401 | -0.0075 | 5.2401 | 2.2891 |
| No log | 0.6667 | 4 | 3.5067 | 0.0276 | 3.5067 | 1.8726 |
| No log | 1.0 | 6 | 1.9065 | 0.0790 | 1.9065 | 1.3808 |
| No log | 1.3333 | 8 | 1.2406 | 0.1289 | 1.2406 | 1.1138 |
| No log | 1.6667 | 10 | 1.0584 | 0.2711 | 1.0584 | 1.0288 |
| No log | 2.0 | 12 | 1.4461 | 0.1498 | 1.4461 | 1.2025 |
| No log | 2.3333 | 14 | 1.3232 | 0.1545 | 1.3232 | 1.1503 |
| No log | 2.6667 | 16 | 1.0454 | 0.3318 | 1.0454 | 1.0225 |
| No log | 3.0 | 18 | 1.0523 | 0.3190 | 1.0523 | 1.0258 |
| No log | 3.3333 | 20 | 1.2239 | 0.2515 | 1.2239 | 1.1063 |
| No log | 3.6667 | 22 | 1.0980 | 0.4191 | 1.0980 | 1.0478 |
| No log | 4.0 | 24 | 0.8976 | 0.4502 | 0.8976 | 0.9474 |
| No log | 4.3333 | 26 | 1.1022 | 0.4962 | 1.1022 | 1.0499 |
| No log | 4.6667 | 28 | 1.0831 | 0.4124 | 1.0831 | 1.0407 |
| No log | 5.0 | 30 | 0.9470 | 0.4877 | 0.9470 | 0.9731 |
| No log | 5.3333 | 32 | 1.1300 | 0.4264 | 1.1300 | 1.0630 |
| No log | 5.6667 | 34 | 1.1859 | 0.3693 | 1.1859 | 1.0890 |
| No log | 6.0 | 36 | 0.9432 | 0.4229 | 0.9432 | 0.9712 |
| No log | 6.3333 | 38 | 1.1280 | 0.4952 | 1.1280 | 1.0621 |
| No log | 6.6667 | 40 | 1.2048 | 0.4825 | 1.2048 | 1.0977 |
| No log | 7.0 | 42 | 0.9217 | 0.4548 | 0.9217 | 0.9600 |
| No log | 7.3333 | 44 | 1.3261 | 0.2910 | 1.3261 | 1.1516 |
| No log | 7.6667 | 46 | 1.2117 | 0.3719 | 1.2117 | 1.1008 |
| No log | 8.0 | 48 | 1.0579 | 0.4735 | 1.0579 | 1.0285 |
| No log | 8.3333 | 50 | 0.8455 | 0.4885 | 0.8455 | 0.9195 |
| No log | 8.6667 | 52 | 0.8496 | 0.5611 | 0.8496 | 0.9217 |
| No log | 9.0 | 54 | 0.8689 | 0.4575 | 0.8689 | 0.9321 |
| No log | 9.3333 | 56 | 0.9808 | 0.5022 | 0.9808 | 0.9903 |
| No log | 9.6667 | 58 | 1.2090 | 0.4153 | 1.2090 | 1.0995 |
| No log | 10.0 | 60 | 1.1705 | 0.4323 | 1.1705 | 1.0819 |
| No log | 10.3333 | 62 | 1.3720 | 0.3396 | 1.3720 | 1.1713 |
| No log | 10.6667 | 64 | 1.2048 | 0.3859 | 1.2048 | 1.0976 |
| No log | 11.0 | 66 | 1.0394 | 0.5169 | 1.0394 | 1.0195 |
| No log | 11.3333 | 68 | 0.9391 | 0.5309 | 0.9391 | 0.9691 |
| No log | 11.6667 | 70 | 0.9149 | 0.4954 | 0.9149 | 0.9565 |
| No log | 12.0 | 72 | 0.9976 | 0.4594 | 0.9976 | 0.9988 |
| No log | 12.3333 | 74 | 1.0327 | 0.4755 | 1.0327 | 1.0162 |
| No log | 12.6667 | 76 | 1.0536 | 0.5279 | 1.0536 | 1.0264 |
| No log | 13.0 | 78 | 0.8763 | 0.5323 | 0.8763 | 0.9361 |
| No log | 13.3333 | 80 | 0.8730 | 0.5986 | 0.8730 | 0.9343 |
| No log | 13.6667 | 82 | 0.9187 | 0.5416 | 0.9187 | 0.9585 |
| No log | 14.0 | 84 | 1.0069 | 0.4765 | 1.0069 | 1.0035 |
| No log | 14.3333 | 86 | 0.9878 | 0.4309 | 0.9878 | 0.9939 |
| No log | 14.6667 | 88 | 0.9004 | 0.4634 | 0.9004 | 0.9489 |
| No log | 15.0 | 90 | 0.9464 | 0.3953 | 0.9464 | 0.9728 |
| No log | 15.3333 | 92 | 0.9732 | 0.4257 | 0.9732 | 0.9865 |
| No log | 15.6667 | 94 | 1.1173 | 0.3381 | 1.1173 | 1.0570 |
| No log | 16.0 | 96 | 1.1753 | 0.2581 | 1.1753 | 1.0841 |
| No log | 16.3333 | 98 | 1.0383 | 0.4328 | 1.0383 | 1.0190 |
| No log | 16.6667 | 100 | 0.9907 | 0.4308 | 0.9907 | 0.9953 |
| No log | 17.0 | 102 | 0.9945 | 0.4146 | 0.9945 | 0.9973 |
| No log | 17.3333 | 104 | 0.9877 | 0.4426 | 0.9877 | 0.9938 |
| No log | 17.6667 | 106 | 0.9846 | 0.5008 | 0.9846 | 0.9923 |
| No log | 18.0 | 108 | 1.1272 | 0.4755 | 1.1272 | 1.0617 |
| No log | 18.3333 | 110 | 1.1551 | 0.4289 | 1.1551 | 1.0748 |
| No log | 18.6667 | 112 | 0.9621 | 0.4668 | 0.9621 | 0.9809 |
| No log | 19.0 | 114 | 0.8984 | 0.4653 | 0.8984 | 0.9479 |
| No log | 19.3333 | 116 | 0.9072 | 0.4533 | 0.9072 | 0.9525 |
| No log | 19.6667 | 118 | 0.8826 | 0.4505 | 0.8826 | 0.9395 |
| No log | 20.0 | 120 | 0.9098 | 0.4258 | 0.9098 | 0.9539 |
| No log | 20.3333 | 122 | 1.0312 | 0.4344 | 1.0312 | 1.0155 |
| No log | 20.6667 | 124 | 0.9595 | 0.4581 | 0.9595 | 0.9795 |
| No log | 21.0 | 126 | 0.8738 | 0.4429 | 0.8738 | 0.9348 |
| No log | 21.3333 | 128 | 0.9659 | 0.4479 | 0.9659 | 0.9828 |
| No log | 21.6667 | 130 | 0.9306 | 0.4615 | 0.9306 | 0.9647 |
| No log | 22.0 | 132 | 0.9383 | 0.5132 | 0.9383 | 0.9687 |
| No log | 22.3333 | 134 | 1.0335 | 0.4782 | 1.0335 | 1.0166 |
| No log | 22.6667 | 136 | 0.9543 | 0.5090 | 0.9543 | 0.9769 |
| No log | 23.0 | 138 | 0.8764 | 0.5621 | 0.8764 | 0.9362 |
| No log | 23.3333 | 140 | 0.8768 | 0.4852 | 0.8768 | 0.9364 |
| No log | 23.6667 | 142 | 0.8824 | 0.5192 | 0.8824 | 0.9394 |
| No log | 24.0 | 144 | 0.8679 | 0.5431 | 0.8679 | 0.9316 |
| No log | 24.3333 | 146 | 0.8977 | 0.5216 | 0.8977 | 0.9474 |
| No log | 24.6667 | 148 | 0.9845 | 0.4813 | 0.9845 | 0.9922 |
| No log | 25.0 | 150 | 1.0108 | 0.4802 | 1.0108 | 1.0054 |
| No log | 25.3333 | 152 | 0.9779 | 0.4323 | 0.9779 | 0.9889 |
| No log | 25.6667 | 154 | 0.9807 | 0.4693 | 0.9807 | 0.9903 |
| No log | 26.0 | 156 | 0.9844 | 0.4209 | 0.9844 | 0.9922 |
| No log | 26.3333 | 158 | 1.0180 | 0.3762 | 1.0180 | 1.0090 |
| No log | 26.6667 | 160 | 0.9708 | 0.3968 | 0.9708 | 0.9853 |
| No log | 27.0 | 162 | 0.9506 | 0.4626 | 0.9506 | 0.9750 |
| No log | 27.3333 | 164 | 0.9432 | 0.4920 | 0.9432 | 0.9712 |
| No log | 27.6667 | 166 | 0.9557 | 0.4807 | 0.9557 | 0.9776 |
| No log | 28.0 | 168 | 0.9737 | 0.5386 | 0.9737 | 0.9868 |
| No log | 28.3333 | 170 | 0.9830 | 0.5348 | 0.9830 | 0.9914 |
| No log | 28.6667 | 172 | 0.9858 | 0.5323 | 0.9858 | 0.9929 |
| No log | 29.0 | 174 | 1.0092 | 0.4636 | 1.0092 | 1.0046 |
| No log | 29.3333 | 176 | 1.0290 | 0.4755 | 1.0290 | 1.0144 |
| No log | 29.6667 | 178 | 0.9877 | 0.4765 | 0.9877 | 0.9938 |
| No log | 30.0 | 180 | 0.8922 | 0.5474 | 0.8922 | 0.9446 |
| No log | 30.3333 | 182 | 0.8759 | 0.4728 | 0.8759 | 0.9359 |
| No log | 30.6667 | 184 | 0.8687 | 0.4948 | 0.8687 | 0.9321 |
| No log | 31.0 | 186 | 0.8729 | 0.4662 | 0.8729 | 0.9343 |
| No log | 31.3333 | 188 | 0.9279 | 0.4331 | 0.9279 | 0.9633 |
| No log | 31.6667 | 190 | 0.9241 | 0.4331 | 0.9241 | 0.9613 |
| No log | 32.0 | 192 | 0.9200 | 0.4254 | 0.9200 | 0.9592 |
| No log | 32.3333 | 194 | 0.9355 | 0.4141 | 0.9355 | 0.9672 |
| No log | 32.6667 | 196 | 0.9299 | 0.3977 | 0.9299 | 0.9643 |
| No log | 33.0 | 198 | 0.9245 | 0.4699 | 0.9245 | 0.9615 |
| No log | 33.3333 | 200 | 0.9372 | 0.4699 | 0.9372 | 0.9681 |
| No log | 33.6667 | 202 | 0.9246 | 0.4664 | 0.9246 | 0.9616 |
| No log | 34.0 | 204 | 0.9318 | 0.4942 | 0.9318 | 0.9653 |
| No log | 34.3333 | 206 | 0.9471 | 0.4727 | 0.9471 | 0.9732 |
| No log | 34.6667 | 208 | 0.9455 | 0.4247 | 0.9455 | 0.9724 |
| No log | 35.0 | 210 | 0.9482 | 0.4215 | 0.9482 | 0.9738 |
| No log | 35.3333 | 212 | 0.9736 | 0.5137 | 0.9736 | 0.9867 |
| No log | 35.6667 | 214 | 1.0288 | 0.4705 | 1.0288 | 1.0143 |
| No log | 36.0 | 216 | 1.0159 | 0.4290 | 1.0159 | 1.0079 |
| No log | 36.3333 | 218 | 0.9901 | 0.4064 | 0.9901 | 0.9951 |
| No log | 36.6667 | 220 | 0.9657 | 0.4774 | 0.9657 | 0.9827 |
| No log | 37.0 | 222 | 0.9447 | 0.5077 | 0.9447 | 0.9720 |
| No log | 37.3333 | 224 | 0.9196 | 0.5177 | 0.9196 | 0.9590 |
| No log | 37.6667 | 226 | 0.8902 | 0.4040 | 0.8902 | 0.9435 |
| No log | 38.0 | 228 | 0.8784 | 0.4720 | 0.8784 | 0.9372 |
| No log | 38.3333 | 230 | 0.8669 | 0.4440 | 0.8669 | 0.9311 |
| No log | 38.6667 | 232 | 0.9069 | 0.4932 | 0.9069 | 0.9523 |
| No log | 39.0 | 234 | 1.0403 | 0.4153 | 1.0403 | 1.0199 |
| No log | 39.3333 | 236 | 0.9931 | 0.4595 | 0.9931 | 0.9966 |
| No log | 39.6667 | 238 | 0.8566 | 0.4657 | 0.8566 | 0.9255 |
| No log | 40.0 | 240 | 0.8073 | 0.5124 | 0.8073 | 0.8985 |
| No log | 40.3333 | 242 | 0.8818 | 0.4983 | 0.8818 | 0.9391 |
| No log | 40.6667 | 244 | 0.8788 | 0.5419 | 0.8788 | 0.9375 |
| No log | 41.0 | 246 | 0.8659 | 0.4346 | 0.8659 | 0.9305 |
| No log | 41.3333 | 248 | 0.8941 | 0.4504 | 0.8941 | 0.9456 |
| No log | 41.6667 | 250 | 0.9263 | 0.4919 | 0.9263 | 0.9624 |
| No log | 42.0 | 252 | 0.9116 | 0.4731 | 0.9116 | 0.9548 |
| No log | 42.3333 | 254 | 0.8835 | 0.4160 | 0.8835 | 0.9399 |
| No log | 42.6667 | 256 | 0.9169 | 0.4783 | 0.9169 | 0.9576 |
| No log | 43.0 | 258 | 0.9960 | 0.4949 | 0.9960 | 0.9980 |
| No log | 43.3333 | 260 | 1.0367 | 0.5134 | 1.0367 | 1.0182 |
| No log | 43.6667 | 262 | 0.9845 | 0.4916 | 0.9845 | 0.9922 |
| No log | 44.0 | 264 | 0.9001 | 0.5256 | 0.9001 | 0.9487 |
| No log | 44.3333 | 266 | 0.8962 | 0.5244 | 0.8962 | 0.9467 |
| No log | 44.6667 | 268 | 0.9308 | 0.5106 | 0.9308 | 0.9648 |
| No log | 45.0 | 270 | 0.9211 | 0.5094 | 0.9211 | 0.9598 |
| No log | 45.3333 | 272 | 0.8835 | 0.5216 | 0.8835 | 0.9399 |
| No log | 45.6667 | 274 | 0.8858 | 0.5238 | 0.8858 | 0.9412 |
| No log | 46.0 | 276 | 0.9406 | 0.5170 | 0.9406 | 0.9698 |
| No log | 46.3333 | 278 | 0.9825 | 0.5384 | 0.9825 | 0.9912 |
| No log | 46.6667 | 280 | 0.9549 | 0.5367 | 0.9549 | 0.9772 |
| No log | 47.0 | 282 | 0.9334 | 0.5036 | 0.9334 | 0.9661 |
| No log | 47.3333 | 284 | 1.0013 | 0.5005 | 1.0013 | 1.0006 |
| No log | 47.6667 | 286 | 1.1253 | 0.4186 | 1.1253 | 1.0608 |
| No log | 48.0 | 288 | 1.1446 | 0.4186 | 1.1446 | 1.0698 |
| No log | 48.3333 | 290 | 1.0481 | 0.4784 | 1.0481 | 1.0238 |
| No log | 48.6667 | 292 | 0.9356 | 0.4890 | 0.9356 | 0.9673 |
| No log | 49.0 | 294 | 0.8805 | 0.4739 | 0.8805 | 0.9383 |
| No log | 49.3333 | 296 | 0.8791 | 0.4397 | 0.8791 | 0.9376 |
| No log | 49.6667 | 298 | 0.9044 | 0.4796 | 0.9044 | 0.9510 |
| No log | 50.0 | 300 | 0.9283 | 0.4894 | 0.9283 | 0.9635 |
| No log | 50.3333 | 302 | 0.9475 | 0.4417 | 0.9475 | 0.9734 |
| No log | 50.6667 | 304 | 0.9609 | 0.4589 | 0.9609 | 0.9802 |
| No log | 51.0 | 306 | 0.9590 | 0.4316 | 0.9590 | 0.9793 |
| No log | 51.3333 | 308 | 0.9482 | 0.4690 | 0.9482 | 0.9738 |
| No log | 51.6667 | 310 | 0.9165 | 0.4420 | 0.9165 | 0.9573 |
| No log | 52.0 | 312 | 0.8912 | 0.4634 | 0.8912 | 0.9440 |
| No log | 52.3333 | 314 | 0.8849 | 0.4929 | 0.8849 | 0.9407 |
| No log | 52.6667 | 316 | 0.8720 | 0.5567 | 0.8720 | 0.9338 |
| No log | 53.0 | 318 | 0.8535 | 0.5515 | 0.8535 | 0.9239 |
| No log | 53.3333 | 320 | 0.8466 | 0.5343 | 0.8466 | 0.9201 |
| No log | 53.6667 | 322 | 0.8577 | 0.4996 | 0.8577 | 0.9261 |
| No log | 54.0 | 324 | 0.8766 | 0.5324 | 0.8766 | 0.9363 |
| No log | 54.3333 | 326 | 0.8883 | 0.5476 | 0.8883 | 0.9425 |
| No log | 54.6667 | 328 | 0.8787 | 0.5476 | 0.8787 | 0.9374 |
| No log | 55.0 | 330 | 0.8562 | 0.5489 | 0.8562 | 0.9253 |
| No log | 55.3333 | 332 | 0.8467 | 0.5753 | 0.8467 | 0.9201 |
| No log | 55.6667 | 334 | 0.8443 | 0.6029 | 0.8443 | 0.9189 |
| No log | 56.0 | 336 | 0.8543 | 0.5568 | 0.8543 | 0.9243 |
| No log | 56.3333 | 338 | 0.8548 | 0.5568 | 0.8548 | 0.9245 |
| No log | 56.6667 | 340 | 0.8436 | 0.5518 | 0.8436 | 0.9185 |
| No log | 57.0 | 342 | 0.8384 | 0.5573 | 0.8384 | 0.9157 |
| No log | 57.3333 | 344 | 0.8409 | 0.5573 | 0.8409 | 0.9170 |
| No log | 57.6667 | 346 | 0.8427 | 0.5507 | 0.8427 | 0.9180 |
| No log | 58.0 | 348 | 0.8507 | 0.4994 | 0.8507 | 0.9223 |
| No log | 58.3333 | 350 | 0.8582 | 0.5008 | 0.8582 | 0.9264 |
| No log | 58.6667 | 352 | 0.8768 | 0.5063 | 0.8768 | 0.9364 |
| No log | 59.0 | 354 | 0.8925 | 0.5063 | 0.8925 | 0.9447 |
| No log | 59.3333 | 356 | 0.9089 | 0.5063 | 0.9089 | 0.9534 |
| No log | 59.6667 | 358 | 0.9060 | 0.5243 | 0.9060 | 0.9518 |
| No log | 60.0 | 360 | 0.8957 | 0.5747 | 0.8957 | 0.9464 |
| No log | 60.3333 | 362 | 0.8678 | 0.5723 | 0.8678 | 0.9315 |
| No log | 60.6667 | 364 | 0.8464 | 0.5917 | 0.8464 | 0.9200 |
| No log | 61.0 | 366 | 0.8387 | 0.5824 | 0.8387 | 0.9158 |
| No log | 61.3333 | 368 | 0.8377 | 0.5611 | 0.8377 | 0.9153 |
| No log | 61.6667 | 370 | 0.8448 | 0.5305 | 0.8448 | 0.9191 |
| No log | 62.0 | 372 | 0.8409 | 0.4969 | 0.8409 | 0.9170 |
| No log | 62.3333 | 374 | 0.8300 | 0.4983 | 0.8300 | 0.9110 |
| No log | 62.6667 | 376 | 0.8233 | 0.5229 | 0.8233 | 0.9074 |
| No log | 63.0 | 378 | 0.8129 | 0.5892 | 0.8129 | 0.9016 |
| No log | 63.3333 | 380 | 0.8184 | 0.5997 | 0.8184 | 0.9046 |
| No log | 63.6667 | 382 | 0.8291 | 0.5866 | 0.8291 | 0.9105 |
| No log | 64.0 | 384 | 0.8373 | 0.5412 | 0.8373 | 0.9150 |
| No log | 64.3333 | 386 | 0.8480 | 0.5347 | 0.8480 | 0.9209 |
| No log | 64.6667 | 388 | 0.8415 | 0.5347 | 0.8415 | 0.9173 |
| No log | 65.0 | 390 | 0.8344 | 0.5776 | 0.8344 | 0.9135 |
| No log | 65.3333 | 392 | 0.8271 | 0.6225 | 0.8271 | 0.9095 |
| No log | 65.6667 | 394 | 0.8205 | 0.6382 | 0.8205 | 0.9058 |
| No log | 66.0 | 396 | 0.8147 | 0.6097 | 0.8147 | 0.9026 |
| No log | 66.3333 | 398 | 0.8069 | 0.6119 | 0.8069 | 0.8983 |
| No log | 66.6667 | 400 | 0.8001 | 0.5555 | 0.8001 | 0.8945 |
| No log | 67.0 | 402 | 0.8014 | 0.5431 | 0.8014 | 0.8952 |
| No log | 67.3333 | 404 | 0.8033 | 0.5738 | 0.8033 | 0.8963 |
| No log | 67.6667 | 406 | 0.8050 | 0.5738 | 0.8050 | 0.8972 |
| No log | 68.0 | 408 | 0.8002 | 0.5969 | 0.8002 | 0.8946 |
| No log | 68.3333 | 410 | 0.7984 | 0.6151 | 0.7984 | 0.8935 |
| No log | 68.6667 | 412 | 0.7978 | 0.6095 | 0.7978 | 0.8932 |
| No log | 69.0 | 414 | 0.7947 | 0.6260 | 0.7947 | 0.8915 |
| No log | 69.3333 | 416 | 0.7927 | 0.5978 | 0.7927 | 0.8904 |
| No log | 69.6667 | 418 | 0.7955 | 0.6487 | 0.7955 | 0.8919 |
| No log | 70.0 | 420 | 0.8083 | 0.6077 | 0.8083 | 0.8991 |
| No log | 70.3333 | 422 | 0.8189 | 0.5971 | 0.8189 | 0.9049 |
| No log | 70.6667 | 424 | 0.8395 | 0.6131 | 0.8395 | 0.9163 |
| No log | 71.0 | 426 | 0.8488 | 0.5731 | 0.8488 | 0.9213 |
| No log | 71.3333 | 428 | 0.8449 | 0.6235 | 0.8449 | 0.9192 |
| No log | 71.6667 | 430 | 0.8429 | 0.5886 | 0.8429 | 0.9181 |
| No log | 72.0 | 432 | 0.8418 | 0.5879 | 0.8418 | 0.9175 |
| No log | 72.3333 | 434 | 0.8465 | 0.5781 | 0.8465 | 0.9200 |
| No log | 72.6667 | 436 | 0.8530 | 0.5434 | 0.8530 | 0.9236 |
| No log | 73.0 | 438 | 0.8566 | 0.5620 | 0.8566 | 0.9255 |
| No log | 73.3333 | 440 | 0.8545 | 0.5434 | 0.8545 | 0.9244 |
| No log | 73.6667 | 442 | 0.8533 | 0.5781 | 0.8533 | 0.9238 |
| No log | 74.0 | 444 | 0.8505 | 0.6056 | 0.8505 | 0.9222 |
| No log | 74.3333 | 446 | 0.8485 | 0.5658 | 0.8485 | 0.9211 |
| No log | 74.6667 | 448 | 0.8452 | 0.5944 | 0.8452 | 0.9193 |
| No log | 75.0 | 450 | 0.8414 | 0.5892 | 0.8414 | 0.9173 |
| No log | 75.3333 | 452 | 0.8352 | 0.5741 | 0.8352 | 0.9139 |
| No log | 75.6667 | 454 | 0.8273 | 0.5741 | 0.8273 | 0.9096 |
| No log | 76.0 | 456 | 0.8242 | 0.5741 | 0.8242 | 0.9079 |
| No log | 76.3333 | 458 | 0.8196 | 0.5741 | 0.8196 | 0.9053 |
| No log | 76.6667 | 460 | 0.8190 | 0.5741 | 0.8190 | 0.9050 |
| No log | 77.0 | 462 | 0.8224 | 0.5621 | 0.8224 | 0.9069 |
| No log | 77.3333 | 464 | 0.8279 | 0.5556 | 0.8279 | 0.9099 |
| No log | 77.6667 | 466 | 0.8371 | 0.5472 | 0.8371 | 0.9149 |
| No log | 78.0 | 468 | 0.8438 | 0.5472 | 0.8438 | 0.9186 |
| No log | 78.3333 | 470 | 0.8526 | 0.5347 | 0.8526 | 0.9234 |
| No log | 78.6667 | 472 | 0.8594 | 0.5347 | 0.8594 | 0.9271 |
| No log | 79.0 | 474 | 0.8612 | 0.5347 | 0.8612 | 0.9280 |
| No log | 79.3333 | 476 | 0.8586 | 0.5347 | 0.8586 | 0.9266 |
| No log | 79.6667 | 478 | 0.8526 | 0.5094 | 0.8526 | 0.9234 |
| No log | 80.0 | 480 | 0.8445 | 0.5126 | 0.8445 | 0.9190 |
| No log | 80.3333 | 482 | 0.8419 | 0.5548 | 0.8419 | 0.9175 |
| No log | 80.6667 | 484 | 0.8408 | 0.5886 | 0.8408 | 0.9169 |
| No log | 81.0 | 486 | 0.8401 | 0.5670 | 0.8401 | 0.9165 |
| No log | 81.3333 | 488 | 0.8336 | 0.5670 | 0.8336 | 0.9130 |
| No log | 81.6667 | 490 | 0.8258 | 0.6183 | 0.8258 | 0.9087 |
| No log | 82.0 | 492 | 0.8188 | 0.5856 | 0.8188 | 0.9049 |
| No log | 82.3333 | 494 | 0.8150 | 0.5484 | 0.8150 | 0.9028 |
| No log | 82.6667 | 496 | 0.8169 | 0.5709 | 0.8169 | 0.9038 |
| No log | 83.0 | 498 | 0.8220 | 0.5484 | 0.8220 | 0.9066 |
| 0.2071 | 83.3333 | 500 | 0.8284 | 0.5658 | 0.8284 | 0.9102 |
| 0.2071 | 83.6667 | 502 | 0.8338 | 0.5658 | 0.8338 | 0.9131 |
| 0.2071 | 84.0 | 504 | 0.8359 | 0.5658 | 0.8359 | 0.9143 |
| 0.2071 | 84.3333 | 506 | 0.8348 | 0.5487 | 0.8348 | 0.9137 |
| 0.2071 | 84.6667 | 508 | 0.8340 | 0.5439 | 0.8340 | 0.9132 |
| 0.2071 | 85.0 | 510 | 0.8342 | 0.5439 | 0.8342 | 0.9133 |
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/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k1_task2_organization
Base model
aubmindlab/bert-base-arabertv02