Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k8_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: 0.6448
- Qwk: 0.5153
- Mse: 0.6448
- Rmse: 0.8030
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 | 0.0488 | 2 | 4.2473 | -0.0048 | 4.2473 | 2.0609 |
| No log | 0.0976 | 4 | 2.6434 | -0.0600 | 2.6434 | 1.6258 |
| No log | 0.1463 | 6 | 1.8355 | 0.0412 | 1.8355 | 1.3548 |
| No log | 0.1951 | 8 | 1.1401 | 0.2639 | 1.1401 | 1.0678 |
| No log | 0.2439 | 10 | 1.2133 | 0.1644 | 1.2133 | 1.1015 |
| No log | 0.2927 | 12 | 1.1034 | 0.1321 | 1.1034 | 1.0504 |
| No log | 0.3415 | 14 | 1.1207 | 0.0699 | 1.1207 | 1.0586 |
| No log | 0.3902 | 16 | 1.3980 | -0.0695 | 1.3980 | 1.1824 |
| No log | 0.4390 | 18 | 1.6648 | -0.0514 | 1.6648 | 1.2903 |
| No log | 0.4878 | 20 | 1.2630 | 0.0431 | 1.2630 | 1.1239 |
| No log | 0.5366 | 22 | 1.0714 | 0.1837 | 1.0714 | 1.0351 |
| No log | 0.5854 | 24 | 1.0766 | 0.2166 | 1.0766 | 1.0376 |
| No log | 0.6341 | 26 | 1.1647 | 0.1028 | 1.1647 | 1.0792 |
| No log | 0.6829 | 28 | 1.2560 | -0.0148 | 1.2560 | 1.1207 |
| No log | 0.7317 | 30 | 1.1729 | 0.0466 | 1.1729 | 1.0830 |
| No log | 0.7805 | 32 | 1.0746 | 0.2513 | 1.0746 | 1.0366 |
| No log | 0.8293 | 34 | 1.0675 | 0.2903 | 1.0675 | 1.0332 |
| No log | 0.8780 | 36 | 1.1190 | 0.0613 | 1.1190 | 1.0578 |
| No log | 0.9268 | 38 | 1.1104 | 0.0466 | 1.1104 | 1.0537 |
| No log | 0.9756 | 40 | 1.0465 | 0.3521 | 1.0465 | 1.0230 |
| No log | 1.0244 | 42 | 1.0216 | 0.4002 | 1.0216 | 1.0107 |
| No log | 1.0732 | 44 | 0.9895 | 0.3876 | 0.9895 | 0.9947 |
| No log | 1.1220 | 46 | 0.8945 | 0.2721 | 0.8945 | 0.9458 |
| No log | 1.1707 | 48 | 0.9009 | 0.3083 | 0.9009 | 0.9491 |
| No log | 1.2195 | 50 | 0.9393 | 0.3863 | 0.9393 | 0.9692 |
| No log | 1.2683 | 52 | 0.9111 | 0.3897 | 0.9111 | 0.9545 |
| No log | 1.3171 | 54 | 0.9723 | 0.3915 | 0.9723 | 0.9861 |
| No log | 1.3659 | 56 | 0.9607 | 0.4073 | 0.9607 | 0.9801 |
| No log | 1.4146 | 58 | 0.9624 | 0.3960 | 0.9624 | 0.9810 |
| No log | 1.4634 | 60 | 0.9829 | 0.4093 | 0.9829 | 0.9914 |
| No log | 1.5122 | 62 | 0.8727 | 0.5094 | 0.8727 | 0.9342 |
| No log | 1.5610 | 64 | 0.8821 | 0.4460 | 0.8821 | 0.9392 |
| No log | 1.6098 | 66 | 0.8302 | 0.4676 | 0.8302 | 0.9112 |
| No log | 1.6585 | 68 | 0.8204 | 0.4946 | 0.8204 | 0.9057 |
| No log | 1.7073 | 70 | 0.7978 | 0.5056 | 0.7978 | 0.8932 |
| No log | 1.7561 | 72 | 0.7837 | 0.4675 | 0.7837 | 0.8853 |
| No log | 1.8049 | 74 | 1.0204 | 0.4011 | 1.0204 | 1.0101 |
| No log | 1.8537 | 76 | 0.9708 | 0.4011 | 0.9708 | 0.9853 |
| No log | 1.9024 | 78 | 0.7390 | 0.4537 | 0.7390 | 0.8597 |
| No log | 1.9512 | 80 | 0.7212 | 0.5273 | 0.7212 | 0.8493 |
| No log | 2.0 | 82 | 0.7383 | 0.4778 | 0.7383 | 0.8592 |
| No log | 2.0488 | 84 | 0.7564 | 0.4935 | 0.7564 | 0.8697 |
| No log | 2.0976 | 86 | 0.7959 | 0.5073 | 0.7959 | 0.8921 |
| No log | 2.1463 | 88 | 0.7686 | 0.5795 | 0.7686 | 0.8767 |
| No log | 2.1951 | 90 | 0.7053 | 0.5771 | 0.7053 | 0.8398 |
| No log | 2.2439 | 92 | 0.7022 | 0.5455 | 0.7022 | 0.8380 |
| No log | 2.2927 | 94 | 0.7007 | 0.5010 | 0.7007 | 0.8371 |
| No log | 2.3415 | 96 | 0.7254 | 0.5301 | 0.7254 | 0.8517 |
| No log | 2.3902 | 98 | 0.8535 | 0.4903 | 0.8535 | 0.9239 |
| No log | 2.4390 | 100 | 0.7840 | 0.3915 | 0.7840 | 0.8854 |
| No log | 2.4878 | 102 | 0.7848 | 0.4180 | 0.7848 | 0.8859 |
| No log | 2.5366 | 104 | 0.7950 | 0.4180 | 0.7950 | 0.8916 |
| No log | 2.5854 | 106 | 0.7800 | 0.4285 | 0.7800 | 0.8832 |
| No log | 2.6341 | 108 | 1.1376 | 0.2727 | 1.1376 | 1.0666 |
| No log | 2.6829 | 110 | 1.3287 | 0.2229 | 1.3287 | 1.1527 |
| No log | 2.7317 | 112 | 1.0631 | 0.3519 | 1.0631 | 1.0311 |
| No log | 2.7805 | 114 | 0.6715 | 0.5529 | 0.6715 | 0.8194 |
| No log | 2.8293 | 116 | 0.8103 | 0.4318 | 0.8103 | 0.9002 |
| No log | 2.8780 | 118 | 0.9122 | 0.4216 | 0.9122 | 0.9551 |
| No log | 2.9268 | 120 | 0.7602 | 0.4801 | 0.7602 | 0.8719 |
| No log | 2.9756 | 122 | 0.6663 | 0.5631 | 0.6663 | 0.8163 |
| No log | 3.0244 | 124 | 0.8639 | 0.4608 | 0.8639 | 0.9294 |
| No log | 3.0732 | 126 | 0.8768 | 0.4201 | 0.8768 | 0.9364 |
| No log | 3.1220 | 128 | 0.7204 | 0.5214 | 0.7204 | 0.8487 |
| No log | 3.1707 | 130 | 0.7273 | 0.5521 | 0.7273 | 0.8528 |
| No log | 3.2195 | 132 | 0.9175 | 0.4476 | 0.9175 | 0.9579 |
| No log | 3.2683 | 134 | 0.8889 | 0.4681 | 0.8889 | 0.9428 |
| No log | 3.3171 | 136 | 0.7619 | 0.5279 | 0.7619 | 0.8729 |
| No log | 3.3659 | 138 | 0.6911 | 0.5883 | 0.6911 | 0.8313 |
| No log | 3.4146 | 140 | 0.6559 | 0.6133 | 0.6559 | 0.8099 |
| No log | 3.4634 | 142 | 0.6723 | 0.5992 | 0.6723 | 0.8199 |
| No log | 3.5122 | 144 | 0.6977 | 0.5651 | 0.6977 | 0.8353 |
| No log | 3.5610 | 146 | 0.6791 | 0.5775 | 0.6791 | 0.8240 |
| No log | 3.6098 | 148 | 0.6422 | 0.6219 | 0.6422 | 0.8014 |
| No log | 3.6585 | 150 | 0.7588 | 0.4563 | 0.7588 | 0.8711 |
| No log | 3.7073 | 152 | 0.6725 | 0.5548 | 0.6725 | 0.8201 |
| No log | 3.7561 | 154 | 0.6423 | 0.6014 | 0.6423 | 0.8014 |
| No log | 3.8049 | 156 | 0.7399 | 0.6230 | 0.7399 | 0.8601 |
| No log | 3.8537 | 158 | 0.7295 | 0.6209 | 0.7295 | 0.8541 |
| No log | 3.9024 | 160 | 0.6612 | 0.6828 | 0.6612 | 0.8131 |
| No log | 3.9512 | 162 | 0.7206 | 0.4906 | 0.7206 | 0.8489 |
| No log | 4.0 | 164 | 0.7663 | 0.5030 | 0.7663 | 0.8754 |
| No log | 4.0488 | 166 | 0.6747 | 0.6392 | 0.6747 | 0.8214 |
| No log | 4.0976 | 168 | 0.7135 | 0.5718 | 0.7135 | 0.8447 |
| No log | 4.1463 | 170 | 0.7171 | 0.5964 | 0.7171 | 0.8468 |
| No log | 4.1951 | 172 | 0.6825 | 0.5388 | 0.6825 | 0.8261 |
| No log | 4.2439 | 174 | 0.7304 | 0.5111 | 0.7304 | 0.8546 |
| No log | 4.2927 | 176 | 0.8987 | 0.5160 | 0.8987 | 0.9480 |
| No log | 4.3415 | 178 | 0.8351 | 0.5030 | 0.8351 | 0.9139 |
| No log | 4.3902 | 180 | 0.6824 | 0.5759 | 0.6824 | 0.8261 |
| No log | 4.4390 | 182 | 0.6930 | 0.5751 | 0.6930 | 0.8324 |
| No log | 4.4878 | 184 | 0.7568 | 0.5610 | 0.7568 | 0.8700 |
| No log | 4.5366 | 186 | 0.7125 | 0.5610 | 0.7125 | 0.8441 |
| No log | 4.5854 | 188 | 0.6277 | 0.5986 | 0.6277 | 0.7922 |
| No log | 4.6341 | 190 | 0.6293 | 0.5672 | 0.6293 | 0.7933 |
| No log | 4.6829 | 192 | 0.7750 | 0.5614 | 0.7750 | 0.8803 |
| No log | 4.7317 | 194 | 0.8214 | 0.5283 | 0.8214 | 0.9063 |
| No log | 4.7805 | 196 | 0.7239 | 0.5123 | 0.7239 | 0.8508 |
| No log | 4.8293 | 198 | 0.6487 | 0.5644 | 0.6487 | 0.8054 |
| No log | 4.8780 | 200 | 0.6630 | 0.5909 | 0.6630 | 0.8143 |
| No log | 4.9268 | 202 | 0.6840 | 0.6112 | 0.6840 | 0.8271 |
| No log | 4.9756 | 204 | 0.6936 | 0.5992 | 0.6936 | 0.8328 |
| No log | 5.0244 | 206 | 0.6683 | 0.5149 | 0.6683 | 0.8175 |
| No log | 5.0732 | 208 | 0.6819 | 0.5149 | 0.6819 | 0.8258 |
| No log | 5.1220 | 210 | 0.7037 | 0.5017 | 0.7037 | 0.8389 |
| No log | 5.1707 | 212 | 0.7275 | 0.4862 | 0.7275 | 0.8529 |
| No log | 5.2195 | 214 | 0.7276 | 0.4903 | 0.7276 | 0.8530 |
| No log | 5.2683 | 216 | 0.7169 | 0.4903 | 0.7169 | 0.8467 |
| No log | 5.3171 | 218 | 0.7152 | 0.5937 | 0.7152 | 0.8457 |
| No log | 5.3659 | 220 | 0.6975 | 0.6340 | 0.6975 | 0.8352 |
| No log | 5.4146 | 222 | 0.6477 | 0.6424 | 0.6477 | 0.8048 |
| No log | 5.4634 | 224 | 0.6852 | 0.5430 | 0.6852 | 0.8278 |
| No log | 5.5122 | 226 | 0.6991 | 0.4998 | 0.6991 | 0.8362 |
| No log | 5.5610 | 228 | 0.6782 | 0.5069 | 0.6782 | 0.8235 |
| No log | 5.6098 | 230 | 0.6659 | 0.5168 | 0.6659 | 0.8160 |
| No log | 5.6585 | 232 | 0.6721 | 0.6508 | 0.6721 | 0.8198 |
| No log | 5.7073 | 234 | 0.6565 | 0.6262 | 0.6565 | 0.8102 |
| No log | 5.7561 | 236 | 0.6564 | 0.5492 | 0.6564 | 0.8102 |
| No log | 5.8049 | 238 | 0.6950 | 0.5690 | 0.6950 | 0.8337 |
| No log | 5.8537 | 240 | 0.7092 | 0.5974 | 0.7092 | 0.8421 |
| No log | 5.9024 | 242 | 0.8103 | 0.5447 | 0.8103 | 0.9002 |
| No log | 5.9512 | 244 | 0.7568 | 0.5547 | 0.7568 | 0.8699 |
| No log | 6.0 | 246 | 0.7026 | 0.5333 | 0.7026 | 0.8382 |
| No log | 6.0488 | 248 | 0.7143 | 0.5333 | 0.7143 | 0.8452 |
| No log | 6.0976 | 250 | 0.7207 | 0.5333 | 0.7207 | 0.8490 |
| No log | 6.1463 | 252 | 0.6714 | 0.5908 | 0.6714 | 0.8194 |
| No log | 6.1951 | 254 | 0.6361 | 0.5783 | 0.6361 | 0.7976 |
| No log | 6.2439 | 256 | 0.6294 | 0.5302 | 0.6294 | 0.7934 |
| No log | 6.2927 | 258 | 0.6445 | 0.5316 | 0.6445 | 0.8028 |
| No log | 6.3415 | 260 | 0.7406 | 0.5243 | 0.7406 | 0.8606 |
| No log | 6.3902 | 262 | 0.9098 | 0.4871 | 0.9098 | 0.9538 |
| No log | 6.4390 | 264 | 1.0444 | 0.4354 | 1.0444 | 1.0219 |
| No log | 6.4878 | 266 | 0.9116 | 0.4994 | 0.9116 | 0.9548 |
| No log | 6.5366 | 268 | 0.7141 | 0.5103 | 0.7141 | 0.8450 |
| No log | 6.5854 | 270 | 0.6410 | 0.5316 | 0.6410 | 0.8006 |
| No log | 6.6341 | 272 | 0.6469 | 0.5302 | 0.6469 | 0.8043 |
| No log | 6.6829 | 274 | 0.6596 | 0.5033 | 0.6596 | 0.8122 |
| No log | 6.7317 | 276 | 0.6893 | 0.4919 | 0.6893 | 0.8303 |
| No log | 6.7805 | 278 | 0.6826 | 0.4781 | 0.6826 | 0.8262 |
| No log | 6.8293 | 280 | 0.6628 | 0.5033 | 0.6628 | 0.8141 |
| No log | 6.8780 | 282 | 0.6556 | 0.5722 | 0.6556 | 0.8097 |
| No log | 6.9268 | 284 | 0.7072 | 0.5642 | 0.7072 | 0.8409 |
| No log | 6.9756 | 286 | 0.7521 | 0.5385 | 0.7521 | 0.8672 |
| No log | 7.0244 | 288 | 0.7062 | 0.5565 | 0.7062 | 0.8404 |
| No log | 7.0732 | 290 | 0.6788 | 0.5618 | 0.6788 | 0.8239 |
| No log | 7.1220 | 292 | 0.6689 | 0.5302 | 0.6689 | 0.8179 |
| No log | 7.1707 | 294 | 0.6493 | 0.5316 | 0.6493 | 0.8058 |
| No log | 7.2195 | 296 | 0.6300 | 0.6150 | 0.6300 | 0.7938 |
| No log | 7.2683 | 298 | 0.6073 | 0.6262 | 0.6073 | 0.7793 |
| No log | 7.3171 | 300 | 0.6395 | 0.5858 | 0.6395 | 0.7997 |
| No log | 7.3659 | 302 | 0.6335 | 0.5975 | 0.6335 | 0.7959 |
| No log | 7.4146 | 304 | 0.6460 | 0.6082 | 0.6460 | 0.8037 |
| No log | 7.4634 | 306 | 0.6378 | 0.5740 | 0.6378 | 0.7986 |
| No log | 7.5122 | 308 | 0.5932 | 0.6054 | 0.5932 | 0.7702 |
| No log | 7.5610 | 310 | 0.6193 | 0.5914 | 0.6193 | 0.7870 |
| No log | 7.6098 | 312 | 0.6477 | 0.5067 | 0.6477 | 0.8048 |
| No log | 7.6585 | 314 | 0.6560 | 0.4303 | 0.6560 | 0.8099 |
| No log | 7.7073 | 316 | 0.7114 | 0.4273 | 0.7114 | 0.8435 |
| No log | 7.7561 | 318 | 0.7569 | 0.5192 | 0.7569 | 0.8700 |
| No log | 7.8049 | 320 | 0.7159 | 0.5701 | 0.7159 | 0.8461 |
| No log | 7.8537 | 322 | 0.6247 | 0.6525 | 0.6247 | 0.7904 |
| No log | 7.9024 | 324 | 0.5653 | 0.7184 | 0.5653 | 0.7519 |
| No log | 7.9512 | 326 | 0.5608 | 0.6973 | 0.5608 | 0.7489 |
| No log | 8.0 | 328 | 0.5686 | 0.6675 | 0.5686 | 0.7541 |
| No log | 8.0488 | 330 | 0.6008 | 0.5230 | 0.6008 | 0.7751 |
| No log | 8.0976 | 332 | 0.6060 | 0.5230 | 0.6060 | 0.7785 |
| No log | 8.1463 | 334 | 0.5974 | 0.4983 | 0.5974 | 0.7729 |
| No log | 8.1951 | 336 | 0.5884 | 0.6087 | 0.5884 | 0.7670 |
| No log | 8.2439 | 338 | 0.5908 | 0.6087 | 0.5908 | 0.7686 |
| No log | 8.2927 | 340 | 0.5977 | 0.6417 | 0.5977 | 0.7731 |
| No log | 8.3415 | 342 | 0.6252 | 0.5932 | 0.6252 | 0.7907 |
| No log | 8.3902 | 344 | 0.6827 | 0.5992 | 0.6827 | 0.8263 |
| No log | 8.4390 | 346 | 0.7141 | 0.5872 | 0.7141 | 0.8450 |
| No log | 8.4878 | 348 | 0.6440 | 0.5698 | 0.6440 | 0.8025 |
| No log | 8.5366 | 350 | 0.6023 | 0.6186 | 0.6023 | 0.7761 |
| No log | 8.5854 | 352 | 0.5988 | 0.6175 | 0.5988 | 0.7738 |
| No log | 8.6341 | 354 | 0.5936 | 0.6175 | 0.5936 | 0.7705 |
| No log | 8.6829 | 356 | 0.5874 | 0.6175 | 0.5874 | 0.7664 |
| No log | 8.7317 | 358 | 0.5995 | 0.6133 | 0.5995 | 0.7743 |
| No log | 8.7805 | 360 | 0.5958 | 0.6133 | 0.5958 | 0.7719 |
| No log | 8.8293 | 362 | 0.5936 | 0.5898 | 0.5936 | 0.7704 |
| No log | 8.8780 | 364 | 0.6073 | 0.4951 | 0.6073 | 0.7793 |
| No log | 8.9268 | 366 | 0.6216 | 0.4781 | 0.6216 | 0.7884 |
| No log | 8.9756 | 368 | 0.6471 | 0.5391 | 0.6471 | 0.8044 |
| No log | 9.0244 | 370 | 0.6576 | 0.5937 | 0.6576 | 0.8109 |
| No log | 9.0732 | 372 | 0.6434 | 0.6209 | 0.6434 | 0.8021 |
| No log | 9.1220 | 374 | 0.5985 | 0.6519 | 0.5985 | 0.7736 |
| No log | 9.1707 | 376 | 0.5900 | 0.6275 | 0.5900 | 0.7681 |
| No log | 9.2195 | 378 | 0.6410 | 0.6204 | 0.6410 | 0.8006 |
| No log | 9.2683 | 380 | 0.6093 | 0.5917 | 0.6093 | 0.7806 |
| No log | 9.3171 | 382 | 0.6233 | 0.5588 | 0.6233 | 0.7895 |
| No log | 9.3659 | 384 | 0.6053 | 0.5704 | 0.6053 | 0.7780 |
| No log | 9.4146 | 386 | 0.6187 | 0.5588 | 0.6187 | 0.7866 |
| No log | 9.4634 | 388 | 0.6460 | 0.5588 | 0.6460 | 0.8037 |
| No log | 9.5122 | 390 | 0.6530 | 0.5588 | 0.6530 | 0.8081 |
| No log | 9.5610 | 392 | 0.6591 | 0.5588 | 0.6591 | 0.8119 |
| No log | 9.6098 | 394 | 0.6370 | 0.4953 | 0.6370 | 0.7982 |
| No log | 9.6585 | 396 | 0.6399 | 0.6154 | 0.6399 | 0.8000 |
| No log | 9.7073 | 398 | 0.6686 | 0.5787 | 0.6686 | 0.8177 |
| No log | 9.7561 | 400 | 0.6420 | 0.6252 | 0.6420 | 0.8013 |
| No log | 9.8049 | 402 | 0.6570 | 0.6090 | 0.6570 | 0.8106 |
| No log | 9.8537 | 404 | 0.7136 | 0.5443 | 0.7136 | 0.8447 |
| No log | 9.9024 | 406 | 0.6747 | 0.5759 | 0.6747 | 0.8214 |
| No log | 9.9512 | 408 | 0.6210 | 0.6417 | 0.6210 | 0.7881 |
| No log | 10.0 | 410 | 0.6275 | 0.6370 | 0.6275 | 0.7922 |
| No log | 10.0488 | 412 | 0.6288 | 0.6479 | 0.6288 | 0.7930 |
| No log | 10.0976 | 414 | 0.6260 | 0.6209 | 0.6260 | 0.7912 |
| No log | 10.1463 | 416 | 0.6832 | 0.5005 | 0.6832 | 0.8265 |
| No log | 10.1951 | 418 | 0.7395 | 0.5151 | 0.7395 | 0.8600 |
| No log | 10.2439 | 420 | 0.7006 | 0.5368 | 0.7006 | 0.8370 |
| No log | 10.2927 | 422 | 0.6450 | 0.5794 | 0.6450 | 0.8031 |
| No log | 10.3415 | 424 | 0.6080 | 0.6209 | 0.6080 | 0.7798 |
| No log | 10.3902 | 426 | 0.6193 | 0.6276 | 0.6193 | 0.7870 |
| No log | 10.4390 | 428 | 0.6113 | 0.6322 | 0.6113 | 0.7819 |
| No log | 10.4878 | 430 | 0.6016 | 0.6322 | 0.6016 | 0.7757 |
| No log | 10.5366 | 432 | 0.5905 | 0.6456 | 0.5905 | 0.7684 |
| No log | 10.5854 | 434 | 0.5863 | 0.5898 | 0.5863 | 0.7657 |
| No log | 10.6341 | 436 | 0.5806 | 0.5898 | 0.5806 | 0.7619 |
| No log | 10.6829 | 438 | 0.5822 | 0.6332 | 0.5822 | 0.7630 |
| No log | 10.7317 | 440 | 0.5968 | 0.6322 | 0.5968 | 0.7725 |
| No log | 10.7805 | 442 | 0.6005 | 0.6322 | 0.6005 | 0.7749 |
| No log | 10.8293 | 444 | 0.6180 | 0.6165 | 0.6180 | 0.7861 |
| No log | 10.8780 | 446 | 0.5963 | 0.6096 | 0.5963 | 0.7722 |
| No log | 10.9268 | 448 | 0.6012 | 0.6517 | 0.6012 | 0.7753 |
| No log | 10.9756 | 450 | 0.6090 | 0.6593 | 0.6090 | 0.7804 |
| No log | 11.0244 | 452 | 0.6186 | 0.6133 | 0.6186 | 0.7865 |
| No log | 11.0732 | 454 | 0.6254 | 0.6239 | 0.6254 | 0.7908 |
| No log | 11.1220 | 456 | 0.6265 | 0.6272 | 0.6265 | 0.7915 |
| No log | 11.1707 | 458 | 0.6270 | 0.5644 | 0.6270 | 0.7918 |
| No log | 11.2195 | 460 | 0.6270 | 0.5408 | 0.6270 | 0.7918 |
| No log | 11.2683 | 462 | 0.6252 | 0.5640 | 0.6252 | 0.7907 |
| No log | 11.3171 | 464 | 0.6121 | 0.5640 | 0.6121 | 0.7824 |
| No log | 11.3659 | 466 | 0.5975 | 0.5666 | 0.5975 | 0.7730 |
| No log | 11.4146 | 468 | 0.6690 | 0.6092 | 0.6690 | 0.8179 |
| No log | 11.4634 | 470 | 0.7243 | 0.5743 | 0.7243 | 0.8510 |
| No log | 11.5122 | 472 | 0.6587 | 0.6485 | 0.6587 | 0.8116 |
| No log | 11.5610 | 474 | 0.5851 | 0.5910 | 0.5851 | 0.7649 |
| No log | 11.6098 | 476 | 0.5928 | 0.6286 | 0.5928 | 0.7699 |
| No log | 11.6585 | 478 | 0.6032 | 0.6286 | 0.6032 | 0.7766 |
| No log | 11.7073 | 480 | 0.5980 | 0.5631 | 0.5980 | 0.7733 |
| No log | 11.7561 | 482 | 0.6236 | 0.6108 | 0.6236 | 0.7897 |
| No log | 11.8049 | 484 | 0.6882 | 0.5565 | 0.6882 | 0.8295 |
| No log | 11.8537 | 486 | 0.6681 | 0.6248 | 0.6681 | 0.8174 |
| No log | 11.9024 | 488 | 0.6160 | 0.5562 | 0.6160 | 0.7849 |
| No log | 11.9512 | 490 | 0.6090 | 0.5735 | 0.6090 | 0.7804 |
| No log | 12.0 | 492 | 0.6081 | 0.6065 | 0.6081 | 0.7798 |
| No log | 12.0488 | 494 | 0.6134 | 0.6070 | 0.6134 | 0.7832 |
| No log | 12.0976 | 496 | 0.6281 | 0.6275 | 0.6281 | 0.7925 |
| No log | 12.1463 | 498 | 0.6286 | 0.5999 | 0.6286 | 0.7929 |
| 0.3149 | 12.1951 | 500 | 0.6260 | 0.5549 | 0.6260 | 0.7912 |
| 0.3149 | 12.2439 | 502 | 0.6152 | 0.5402 | 0.6152 | 0.7844 |
| 0.3149 | 12.2927 | 504 | 0.6034 | 0.6175 | 0.6034 | 0.7768 |
| 0.3149 | 12.3415 | 506 | 0.5999 | 0.7018 | 0.5999 | 0.7745 |
| 0.3149 | 12.3902 | 508 | 0.5997 | 0.7047 | 0.5997 | 0.7744 |
| 0.3149 | 12.4390 | 510 | 0.6027 | 0.6675 | 0.6027 | 0.7764 |
| 0.3149 | 12.4878 | 512 | 0.6097 | 0.6838 | 0.6097 | 0.7808 |
| 0.3149 | 12.5366 | 514 | 0.6176 | 0.6262 | 0.6176 | 0.7859 |
| 0.3149 | 12.5854 | 516 | 0.6289 | 0.5405 | 0.6289 | 0.7930 |
| 0.3149 | 12.6341 | 518 | 0.6340 | 0.5536 | 0.6340 | 0.7962 |
| 0.3149 | 12.6829 | 520 | 0.6427 | 0.5926 | 0.6427 | 0.8017 |
| 0.3149 | 12.7317 | 522 | 0.6461 | 0.5938 | 0.6461 | 0.8038 |
| 0.3149 | 12.7805 | 524 | 0.6385 | 0.5690 | 0.6385 | 0.7991 |
| 0.3149 | 12.8293 | 526 | 0.6324 | 0.5288 | 0.6324 | 0.7953 |
| 0.3149 | 12.8780 | 528 | 0.6345 | 0.5274 | 0.6345 | 0.7965 |
| 0.3149 | 12.9268 | 530 | 0.6471 | 0.5490 | 0.6471 | 0.8044 |
| 0.3149 | 12.9756 | 532 | 0.6559 | 0.5288 | 0.6559 | 0.8099 |
| 0.3149 | 13.0244 | 534 | 0.6814 | 0.5703 | 0.6814 | 0.8255 |
| 0.3149 | 13.0732 | 536 | 0.6860 | 0.5703 | 0.6860 | 0.8282 |
| 0.3149 | 13.1220 | 538 | 0.6652 | 0.5168 | 0.6652 | 0.8156 |
| 0.3149 | 13.1707 | 540 | 0.6581 | 0.5168 | 0.6581 | 0.8112 |
| 0.3149 | 13.2195 | 542 | 0.6575 | 0.5926 | 0.6575 | 0.8109 |
| 0.3149 | 13.2683 | 544 | 0.6481 | 0.5419 | 0.6481 | 0.8051 |
| 0.3149 | 13.3171 | 546 | 0.6610 | 0.5698 | 0.6610 | 0.8130 |
| 0.3149 | 13.3659 | 548 | 0.7093 | 0.5070 | 0.7093 | 0.8422 |
| 0.3149 | 13.4146 | 550 | 0.7042 | 0.5070 | 0.7042 | 0.8392 |
| 0.3149 | 13.4634 | 552 | 0.6539 | 0.6165 | 0.6539 | 0.8086 |
| 0.3149 | 13.5122 | 554 | 0.6462 | 0.5409 | 0.6462 | 0.8039 |
| 0.3149 | 13.5610 | 556 | 0.7141 | 0.5997 | 0.7141 | 0.8450 |
| 0.3149 | 13.6098 | 558 | 0.7308 | 0.5547 | 0.7308 | 0.8549 |
| 0.3149 | 13.6585 | 560 | 0.6648 | 0.6298 | 0.6648 | 0.8154 |
| 0.3149 | 13.7073 | 562 | 0.6142 | 0.6307 | 0.6142 | 0.7837 |
| 0.3149 | 13.7561 | 564 | 0.6097 | 0.6165 | 0.6097 | 0.7808 |
| 0.3149 | 13.8049 | 566 | 0.6202 | 0.5894 | 0.6202 | 0.7875 |
| 0.3149 | 13.8537 | 568 | 0.6168 | 0.5798 | 0.6168 | 0.7854 |
| 0.3149 | 13.9024 | 570 | 0.5903 | 0.6165 | 0.5903 | 0.7683 |
| 0.3149 | 13.9512 | 572 | 0.5758 | 0.6054 | 0.5758 | 0.7588 |
| 0.3149 | 14.0 | 574 | 0.5736 | 0.6579 | 0.5736 | 0.7574 |
| 0.3149 | 14.0488 | 576 | 0.5675 | 0.6822 | 0.5675 | 0.7533 |
| 0.3149 | 14.0976 | 578 | 0.5519 | 0.6658 | 0.5519 | 0.7429 |
| 0.3149 | 14.1463 | 580 | 0.5533 | 0.6415 | 0.5533 | 0.7438 |
| 0.3149 | 14.1951 | 582 | 0.5548 | 0.6680 | 0.5548 | 0.7449 |
| 0.3149 | 14.2439 | 584 | 0.5621 | 0.6846 | 0.5621 | 0.7497 |
| 0.3149 | 14.2927 | 586 | 0.5600 | 0.6431 | 0.5600 | 0.7483 |
| 0.3149 | 14.3415 | 588 | 0.5803 | 0.6721 | 0.5803 | 0.7618 |
| 0.3149 | 14.3902 | 590 | 0.6073 | 0.6461 | 0.6073 | 0.7793 |
| 0.3149 | 14.4390 | 592 | 0.5969 | 0.6275 | 0.5969 | 0.7726 |
| 0.3149 | 14.4878 | 594 | 0.6077 | 0.6275 | 0.6077 | 0.7796 |
| 0.3149 | 14.5366 | 596 | 0.6145 | 0.6275 | 0.6145 | 0.7839 |
| 0.3149 | 14.5854 | 598 | 0.5878 | 0.6275 | 0.5878 | 0.7667 |
| 0.3149 | 14.6341 | 600 | 0.5841 | 0.6275 | 0.5841 | 0.7642 |
| 0.3149 | 14.6829 | 602 | 0.6060 | 0.6072 | 0.6060 | 0.7785 |
| 0.3149 | 14.7317 | 604 | 0.6085 | 0.5971 | 0.6085 | 0.7800 |
| 0.3149 | 14.7805 | 606 | 0.6240 | 0.5981 | 0.6240 | 0.7899 |
| 0.3149 | 14.8293 | 608 | 0.6680 | 0.5595 | 0.6680 | 0.8173 |
| 0.3149 | 14.8780 | 610 | 0.6524 | 0.5841 | 0.6524 | 0.8077 |
| 0.3149 | 14.9268 | 612 | 0.6379 | 0.6043 | 0.6379 | 0.7987 |
| 0.3149 | 14.9756 | 614 | 0.5969 | 0.6545 | 0.5969 | 0.7726 |
| 0.3149 | 15.0244 | 616 | 0.5847 | 0.6275 | 0.5847 | 0.7647 |
| 0.3149 | 15.0732 | 618 | 0.5895 | 0.6234 | 0.5895 | 0.7678 |
| 0.3149 | 15.1220 | 620 | 0.5894 | 0.6606 | 0.5894 | 0.7677 |
| 0.3149 | 15.1707 | 622 | 0.6157 | 0.6509 | 0.6157 | 0.7846 |
| 0.3149 | 15.2195 | 624 | 0.6407 | 0.6537 | 0.6407 | 0.8005 |
| 0.3149 | 15.2683 | 626 | 0.6256 | 0.5966 | 0.6256 | 0.7910 |
| 0.3149 | 15.3171 | 628 | 0.6270 | 0.5665 | 0.6270 | 0.7918 |
| 0.3149 | 15.3659 | 630 | 0.6583 | 0.5451 | 0.6583 | 0.8114 |
| 0.3149 | 15.4146 | 632 | 0.6558 | 0.5553 | 0.6558 | 0.8098 |
| 0.3149 | 15.4634 | 634 | 0.6328 | 0.5807 | 0.6328 | 0.7955 |
| 0.3149 | 15.5122 | 636 | 0.6475 | 0.5138 | 0.6475 | 0.8047 |
| 0.3149 | 15.5610 | 638 | 0.6971 | 0.4336 | 0.6971 | 0.8349 |
| 0.3149 | 15.6098 | 640 | 0.7309 | 0.3802 | 0.7309 | 0.8549 |
| 0.3149 | 15.6585 | 642 | 0.7049 | 0.4473 | 0.7049 | 0.8396 |
| 0.3149 | 15.7073 | 644 | 0.6448 | 0.5153 | 0.6448 | 0.8030 |
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_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization
Base model
aubmindlab/bert-base-arabertv02