Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k7_task3_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_k7_task3_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_k7_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k7_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k7_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k7_task3_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: 0.9971
- Qwk: 0.2842
- Mse: 0.9971
- Rmse: 0.9985
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 | 0.0465 | 2 | 3.1011 | -0.0194 | 3.1011 | 1.7610 |
| No log | 0.0930 | 4 | 1.5266 | 0.0168 | 1.5266 | 1.2355 |
| No log | 0.1395 | 6 | 1.4844 | 0.0210 | 1.4844 | 1.2184 |
| No log | 0.1860 | 8 | 1.9207 | 0.0682 | 1.9207 | 1.3859 |
| No log | 0.2326 | 10 | 1.4313 | 0.0689 | 1.4313 | 1.1964 |
| No log | 0.2791 | 12 | 0.9204 | 0.2191 | 0.9204 | 0.9594 |
| No log | 0.3256 | 14 | 0.8332 | 0.1873 | 0.8332 | 0.9128 |
| No log | 0.3721 | 16 | 0.7782 | 0.1730 | 0.7782 | 0.8822 |
| No log | 0.4186 | 18 | 0.7114 | 0.1398 | 0.7114 | 0.8434 |
| No log | 0.4651 | 20 | 0.7645 | 0.1321 | 0.7645 | 0.8744 |
| No log | 0.5116 | 22 | 0.8025 | 0.1133 | 0.8025 | 0.8958 |
| No log | 0.5581 | 24 | 0.7876 | 0.1698 | 0.7876 | 0.8875 |
| No log | 0.6047 | 26 | 0.7272 | 0.3224 | 0.7272 | 0.8528 |
| No log | 0.6512 | 28 | 0.9564 | 0.0843 | 0.9564 | 0.9780 |
| No log | 0.6977 | 30 | 0.8561 | 0.1333 | 0.8561 | 0.9252 |
| No log | 0.7442 | 32 | 0.8776 | 0.0843 | 0.8776 | 0.9368 |
| No log | 0.7907 | 34 | 0.9005 | 0.0843 | 0.9005 | 0.9489 |
| No log | 0.8372 | 36 | 0.9237 | 0.1165 | 0.9237 | 0.9611 |
| No log | 0.8837 | 38 | 0.7642 | 0.1746 | 0.7642 | 0.8742 |
| No log | 0.9302 | 40 | 0.8844 | 0.0933 | 0.8844 | 0.9404 |
| No log | 0.9767 | 42 | 0.8565 | 0.2000 | 0.8565 | 0.9255 |
| No log | 1.0233 | 44 | 0.9912 | 0.1605 | 0.9912 | 0.9956 |
| No log | 1.0698 | 46 | 0.9220 | 0.1795 | 0.9220 | 0.9602 |
| No log | 1.1163 | 48 | 0.7760 | 0.1475 | 0.7760 | 0.8809 |
| No log | 1.1628 | 50 | 0.7531 | 0.0667 | 0.7531 | 0.8678 |
| No log | 1.2093 | 52 | 0.8071 | 0.1691 | 0.8071 | 0.8984 |
| No log | 1.2558 | 54 | 0.7131 | 0.0123 | 0.7131 | 0.8444 |
| No log | 1.3023 | 56 | 0.6381 | 0.2308 | 0.6381 | 0.7988 |
| No log | 1.3488 | 58 | 0.6013 | 0.2308 | 0.6013 | 0.7755 |
| No log | 1.3953 | 60 | 0.6429 | 0.2593 | 0.6429 | 0.8018 |
| No log | 1.4419 | 62 | 0.8056 | 0.1481 | 0.8056 | 0.8976 |
| No log | 1.4884 | 64 | 0.8257 | 0.1652 | 0.8257 | 0.9087 |
| No log | 1.5349 | 66 | 0.6693 | 0.2281 | 0.6693 | 0.8181 |
| No log | 1.5814 | 68 | 0.6291 | 0.0071 | 0.6291 | 0.7932 |
| No log | 1.6279 | 70 | 0.6029 | 0.1329 | 0.6029 | 0.7764 |
| No log | 1.6744 | 72 | 0.5557 | 0.2533 | 0.5557 | 0.7454 |
| No log | 1.7209 | 74 | 0.7466 | 0.2780 | 0.7466 | 0.8641 |
| No log | 1.7674 | 76 | 0.8902 | 0.2124 | 0.8902 | 0.9435 |
| No log | 1.8140 | 78 | 0.7013 | 0.2332 | 0.7013 | 0.8375 |
| No log | 1.8605 | 80 | 0.6694 | 0.1304 | 0.6694 | 0.8181 |
| No log | 1.9070 | 82 | 0.7094 | 0.0361 | 0.7094 | 0.8422 |
| No log | 1.9535 | 84 | 0.7364 | 0.0698 | 0.7364 | 0.8581 |
| No log | 2.0 | 86 | 0.6527 | 0.1373 | 0.6527 | 0.8079 |
| No log | 2.0465 | 88 | 0.5731 | 0.2000 | 0.5731 | 0.7570 |
| No log | 2.0930 | 90 | 0.5710 | 0.3289 | 0.5710 | 0.7556 |
| No log | 2.1395 | 92 | 0.5876 | 0.2973 | 0.5876 | 0.7665 |
| No log | 2.1860 | 94 | 0.6035 | 0.2000 | 0.6035 | 0.7768 |
| No log | 2.2326 | 96 | 0.6165 | 0.1461 | 0.6165 | 0.7852 |
| No log | 2.2791 | 98 | 0.6157 | 0.2000 | 0.6157 | 0.7847 |
| No log | 2.3256 | 100 | 0.6505 | 0.3263 | 0.6505 | 0.8065 |
| No log | 2.3721 | 102 | 0.6231 | 0.1910 | 0.6231 | 0.7894 |
| No log | 2.4186 | 104 | 0.6686 | 0.1579 | 0.6686 | 0.8176 |
| No log | 2.4651 | 106 | 0.7678 | 0.2793 | 0.7678 | 0.8763 |
| No log | 2.5116 | 108 | 0.5567 | 0.2195 | 0.5567 | 0.7461 |
| No log | 2.5581 | 110 | 0.4990 | 0.3032 | 0.4990 | 0.7064 |
| No log | 2.6047 | 112 | 0.4848 | 0.3377 | 0.4848 | 0.6963 |
| No log | 2.6512 | 114 | 0.5953 | 0.2883 | 0.5953 | 0.7716 |
| No log | 2.6977 | 116 | 0.6707 | 0.3161 | 0.6707 | 0.8190 |
| No log | 2.7442 | 118 | 0.5501 | 0.3659 | 0.5501 | 0.7417 |
| No log | 2.7907 | 120 | 0.4913 | 0.3865 | 0.4913 | 0.7009 |
| No log | 2.8372 | 122 | 0.5105 | 0.3953 | 0.5105 | 0.7145 |
| No log | 2.8837 | 124 | 0.5097 | 0.4556 | 0.5097 | 0.7140 |
| No log | 2.9302 | 126 | 0.6469 | 0.2646 | 0.6469 | 0.8043 |
| No log | 2.9767 | 128 | 0.7747 | 0.2314 | 0.7747 | 0.8801 |
| No log | 3.0233 | 130 | 1.0950 | 0.1622 | 1.0950 | 1.0464 |
| No log | 3.0698 | 132 | 1.1922 | 0.1399 | 1.1922 | 1.0919 |
| No log | 3.1163 | 134 | 0.9132 | 0.125 | 0.9132 | 0.9556 |
| No log | 3.1628 | 136 | 0.5700 | 0.4475 | 0.5700 | 0.7550 |
| No log | 3.2093 | 138 | 0.5935 | 0.3786 | 0.5935 | 0.7704 |
| No log | 3.2558 | 140 | 0.7824 | 0.2711 | 0.7824 | 0.8846 |
| No log | 3.3023 | 142 | 0.6129 | 0.2653 | 0.6129 | 0.7829 |
| No log | 3.3488 | 144 | 0.5414 | 0.4222 | 0.5414 | 0.7358 |
| No log | 3.3953 | 146 | 0.6814 | 0.2871 | 0.6814 | 0.8255 |
| No log | 3.4419 | 148 | 0.7606 | 0.2203 | 0.7606 | 0.8721 |
| No log | 3.4884 | 150 | 0.5646 | 0.3913 | 0.5646 | 0.7514 |
| No log | 3.5349 | 152 | 0.5420 | 0.3708 | 0.5420 | 0.7362 |
| No log | 3.5814 | 154 | 0.5496 | 0.3898 | 0.5496 | 0.7413 |
| No log | 3.6279 | 156 | 0.5317 | 0.375 | 0.5317 | 0.7291 |
| No log | 3.6744 | 158 | 0.6185 | 0.2963 | 0.6185 | 0.7865 |
| No log | 3.7209 | 160 | 0.6883 | 0.2511 | 0.6883 | 0.8297 |
| No log | 3.7674 | 162 | 0.6287 | 0.3462 | 0.6287 | 0.7929 |
| No log | 3.8140 | 164 | 0.6144 | 0.2830 | 0.6144 | 0.7838 |
| No log | 3.8605 | 166 | 0.6088 | 0.3242 | 0.6088 | 0.7802 |
| No log | 3.9070 | 168 | 0.6149 | 0.3247 | 0.6149 | 0.7841 |
| No log | 3.9535 | 170 | 0.7238 | 0.3414 | 0.7238 | 0.8508 |
| No log | 4.0 | 172 | 0.7332 | 0.3571 | 0.7332 | 0.8563 |
| No log | 4.0465 | 174 | 0.7177 | 0.3702 | 0.7177 | 0.8472 |
| No log | 4.0930 | 176 | 0.6714 | 0.3388 | 0.6714 | 0.8194 |
| No log | 4.1395 | 178 | 0.7312 | 0.3115 | 0.7312 | 0.8551 |
| No log | 4.1860 | 180 | 0.8735 | 0.2604 | 0.8735 | 0.9346 |
| No log | 4.2326 | 182 | 0.9279 | 0.2604 | 0.9279 | 0.9633 |
| No log | 4.2791 | 184 | 0.8956 | 0.2548 | 0.8956 | 0.9464 |
| No log | 4.3256 | 186 | 0.8473 | 0.2558 | 0.8473 | 0.9205 |
| No log | 4.3721 | 188 | 0.7964 | 0.1933 | 0.7964 | 0.8924 |
| No log | 4.4186 | 190 | 0.8313 | 0.1935 | 0.8313 | 0.9117 |
| No log | 4.4651 | 192 | 0.7393 | 0.3527 | 0.7393 | 0.8598 |
| No log | 4.5116 | 194 | 0.6532 | 0.3103 | 0.6532 | 0.8082 |
| No log | 4.5581 | 196 | 0.6827 | 0.3242 | 0.6827 | 0.8263 |
| No log | 4.6047 | 198 | 0.8827 | 0.0820 | 0.8827 | 0.9395 |
| No log | 4.6512 | 200 | 1.1290 | 0.0725 | 1.1290 | 1.0625 |
| No log | 4.6977 | 202 | 1.1016 | 0.1601 | 1.1016 | 1.0496 |
| No log | 4.7442 | 204 | 0.8046 | 0.3407 | 0.8046 | 0.8970 |
| No log | 4.7907 | 206 | 0.5538 | 0.3939 | 0.5538 | 0.7442 |
| No log | 4.8372 | 208 | 0.6863 | 0.3580 | 0.6863 | 0.8284 |
| No log | 4.8837 | 210 | 0.6377 | 0.3905 | 0.6377 | 0.7985 |
| No log | 4.9302 | 212 | 0.4921 | 0.4225 | 0.4921 | 0.7015 |
| No log | 4.9767 | 214 | 0.5963 | 0.4930 | 0.5963 | 0.7722 |
| No log | 5.0233 | 216 | 0.8848 | 0.1882 | 0.8848 | 0.9406 |
| No log | 5.0698 | 218 | 0.8354 | 0.1150 | 0.8354 | 0.9140 |
| No log | 5.1163 | 220 | 0.7210 | 0.1781 | 0.7210 | 0.8491 |
| No log | 5.1628 | 222 | 0.7597 | 0.1852 | 0.7597 | 0.8716 |
| No log | 5.2093 | 224 | 0.7395 | 0.2227 | 0.7395 | 0.8600 |
| No log | 5.2558 | 226 | 0.7171 | 0.3128 | 0.7171 | 0.8468 |
| No log | 5.3023 | 228 | 0.7720 | 0.2134 | 0.7720 | 0.8786 |
| No log | 5.3488 | 230 | 0.9284 | 0.2177 | 0.9284 | 0.9635 |
| No log | 5.3953 | 232 | 0.8986 | 0.2360 | 0.8986 | 0.9479 |
| No log | 5.4419 | 234 | 0.8012 | 0.2558 | 0.8012 | 0.8951 |
| No log | 5.4884 | 236 | 0.7765 | 0.2253 | 0.7765 | 0.8812 |
| No log | 5.5349 | 238 | 0.8078 | 0.2537 | 0.8078 | 0.8988 |
| No log | 5.5814 | 240 | 0.9353 | 0.2409 | 0.9353 | 0.9671 |
| No log | 5.6279 | 242 | 1.0236 | 0.2394 | 1.0236 | 1.0117 |
| No log | 5.6744 | 244 | 0.9858 | 0.2613 | 0.9858 | 0.9929 |
| No log | 5.7209 | 246 | 0.7873 | 0.2836 | 0.7873 | 0.8873 |
| No log | 5.7674 | 248 | 0.6753 | 0.3195 | 0.6753 | 0.8218 |
| No log | 5.8140 | 250 | 0.6654 | 0.3138 | 0.6654 | 0.8157 |
| No log | 5.8605 | 252 | 0.6286 | 0.4234 | 0.6286 | 0.7928 |
| No log | 5.9070 | 254 | 0.7181 | 0.2881 | 0.7181 | 0.8474 |
| No log | 5.9535 | 256 | 0.8880 | 0.1464 | 0.8880 | 0.9423 |
| No log | 6.0 | 258 | 0.9769 | 0.1741 | 0.9769 | 0.9884 |
| No log | 6.0465 | 260 | 0.9782 | 0.1660 | 0.9782 | 0.9890 |
| No log | 6.0930 | 262 | 0.8830 | 0.1588 | 0.8830 | 0.9397 |
| No log | 6.1395 | 264 | 0.8098 | 0.2287 | 0.8098 | 0.8999 |
| No log | 6.1860 | 266 | 0.7755 | 0.2771 | 0.7755 | 0.8807 |
| No log | 6.2326 | 268 | 0.7243 | 0.3251 | 0.7243 | 0.8511 |
| No log | 6.2791 | 270 | 0.7016 | 0.3527 | 0.7016 | 0.8376 |
| No log | 6.3256 | 272 | 0.7812 | 0.2481 | 0.7812 | 0.8839 |
| No log | 6.3721 | 274 | 1.0193 | 0.2680 | 1.0193 | 1.0096 |
| No log | 6.4186 | 276 | 1.3367 | 0.1182 | 1.3367 | 1.1562 |
| No log | 6.4651 | 278 | 1.4401 | 0.1411 | 1.4401 | 1.2000 |
| No log | 6.5116 | 280 | 1.3060 | 0.1640 | 1.3060 | 1.1428 |
| No log | 6.5581 | 282 | 1.0192 | 0.2571 | 1.0192 | 1.0095 |
| No log | 6.6047 | 284 | 0.7794 | 0.375 | 0.7794 | 0.8828 |
| No log | 6.6512 | 286 | 0.7062 | 0.4286 | 0.7062 | 0.8404 |
| No log | 6.6977 | 288 | 0.6761 | 0.4093 | 0.6761 | 0.8222 |
| No log | 6.7442 | 290 | 0.7552 | 0.3438 | 0.7552 | 0.8690 |
| No log | 6.7907 | 292 | 0.9502 | 0.3025 | 0.9502 | 0.9748 |
| No log | 6.8372 | 294 | 1.1009 | 0.1587 | 1.1009 | 1.0492 |
| No log | 6.8837 | 296 | 1.1778 | 0.1661 | 1.1778 | 1.0853 |
| No log | 6.9302 | 298 | 1.1296 | 0.1608 | 1.1296 | 1.0628 |
| No log | 6.9767 | 300 | 1.0959 | 0.2276 | 1.0959 | 1.0469 |
| No log | 7.0233 | 302 | 1.0034 | 0.2792 | 1.0034 | 1.0017 |
| No log | 7.0698 | 304 | 0.9754 | 0.3094 | 0.9754 | 0.9876 |
| No log | 7.1163 | 306 | 0.9120 | 0.3684 | 0.9120 | 0.9550 |
| No log | 7.1628 | 308 | 0.9055 | 0.3684 | 0.9055 | 0.9516 |
| No log | 7.2093 | 310 | 0.9492 | 0.3114 | 0.9492 | 0.9743 |
| No log | 7.2558 | 312 | 0.9778 | 0.25 | 0.9778 | 0.9889 |
| No log | 7.3023 | 314 | 1.0375 | 0.2542 | 1.0375 | 1.0186 |
| No log | 7.3488 | 316 | 1.1244 | 0.1661 | 1.1244 | 1.0604 |
| No log | 7.3953 | 318 | 1.0975 | 0.1941 | 1.0975 | 1.0476 |
| No log | 7.4419 | 320 | 0.9974 | 0.1587 | 0.9974 | 0.9987 |
| No log | 7.4884 | 322 | 0.9844 | 0.1587 | 0.9844 | 0.9922 |
| No log | 7.5349 | 324 | 0.9029 | 0.2366 | 0.9029 | 0.9502 |
| No log | 7.5814 | 326 | 0.8107 | 0.2829 | 0.8107 | 0.9004 |
| No log | 7.6279 | 328 | 0.7866 | 0.3466 | 0.7866 | 0.8869 |
| No log | 7.6744 | 330 | 0.8345 | 0.3488 | 0.8345 | 0.9135 |
| No log | 7.7209 | 332 | 0.9155 | 0.1818 | 0.9155 | 0.9568 |
| No log | 7.7674 | 334 | 0.9281 | 0.1818 | 0.9281 | 0.9634 |
| No log | 7.8140 | 336 | 0.9204 | 0.2593 | 0.9204 | 0.9594 |
| No log | 7.8605 | 338 | 0.8618 | 0.3460 | 0.8618 | 0.9283 |
| No log | 7.9070 | 340 | 0.7911 | 0.3488 | 0.7911 | 0.8895 |
| No log | 7.9535 | 342 | 0.8008 | 0.3488 | 0.8008 | 0.8949 |
| No log | 8.0 | 344 | 0.8084 | 0.3488 | 0.8084 | 0.8991 |
| No log | 8.0465 | 346 | 0.8413 | 0.3460 | 0.8413 | 0.9172 |
| No log | 8.0930 | 348 | 0.8842 | 0.2906 | 0.8842 | 0.9403 |
| No log | 8.1395 | 350 | 0.8494 | 0.3460 | 0.8494 | 0.9216 |
| No log | 8.1860 | 352 | 0.8200 | 0.3460 | 0.8200 | 0.9055 |
| No log | 8.2326 | 354 | 0.8196 | 0.3460 | 0.8196 | 0.9053 |
| No log | 8.2791 | 356 | 0.8573 | 0.3460 | 0.8573 | 0.9259 |
| No log | 8.3256 | 358 | 0.9161 | 0.2593 | 0.9161 | 0.9571 |
| No log | 8.3721 | 360 | 0.9231 | 0.2593 | 0.9231 | 0.9608 |
| No log | 8.4186 | 362 | 0.8682 | 0.2797 | 0.8682 | 0.9318 |
| No log | 8.4651 | 364 | 0.8320 | 0.3125 | 0.8320 | 0.9121 |
| No log | 8.5116 | 366 | 0.8463 | 0.3125 | 0.8463 | 0.9200 |
| No log | 8.5581 | 368 | 0.8809 | 0.2481 | 0.8809 | 0.9386 |
| No log | 8.6047 | 370 | 0.8901 | 0.2836 | 0.8901 | 0.9434 |
| No log | 8.6512 | 372 | 0.8871 | 0.2836 | 0.8871 | 0.9419 |
| No log | 8.6977 | 374 | 0.8343 | 0.3716 | 0.8343 | 0.9134 |
| No log | 8.7442 | 376 | 0.7770 | 0.3716 | 0.7770 | 0.8815 |
| No log | 8.7907 | 378 | 0.7555 | 0.3716 | 0.7555 | 0.8692 |
| No log | 8.8372 | 380 | 0.7853 | 0.3716 | 0.7853 | 0.8862 |
| No log | 8.8837 | 382 | 0.8368 | 0.3083 | 0.8368 | 0.9148 |
| No log | 8.9302 | 384 | 0.9004 | 0.3043 | 0.9004 | 0.9489 |
| No log | 8.9767 | 386 | 0.9792 | 0.2973 | 0.9792 | 0.9895 |
| No log | 9.0233 | 388 | 1.0218 | 0.2765 | 1.0218 | 1.0108 |
| No log | 9.0698 | 390 | 1.0159 | 0.2765 | 1.0159 | 1.0079 |
| No log | 9.1163 | 392 | 1.0041 | 0.3074 | 1.0041 | 1.0020 |
| No log | 9.1628 | 394 | 0.9742 | 0.2806 | 0.9742 | 0.9870 |
| No log | 9.2093 | 396 | 0.9277 | 0.2836 | 0.9277 | 0.9632 |
| No log | 9.2558 | 398 | 0.8884 | 0.3383 | 0.8884 | 0.9425 |
| No log | 9.3023 | 400 | 0.8821 | 0.3383 | 0.8821 | 0.9392 |
| No log | 9.3488 | 402 | 0.8836 | 0.3103 | 0.8836 | 0.9400 |
| No log | 9.3953 | 404 | 0.9046 | 0.2782 | 0.9046 | 0.9511 |
| No log | 9.4419 | 406 | 0.9377 | 0.2177 | 0.9377 | 0.9684 |
| No log | 9.4884 | 408 | 0.9573 | 0.2464 | 0.9573 | 0.9784 |
| No log | 9.5349 | 410 | 0.9698 | 0.2464 | 0.9698 | 0.9848 |
| No log | 9.5814 | 412 | 0.9926 | 0.2509 | 0.9926 | 0.9963 |
| No log | 9.6279 | 414 | 1.0233 | 0.2613 | 1.0233 | 1.0116 |
| No log | 9.6744 | 416 | 1.0363 | 0.2676 | 1.0363 | 1.0180 |
| No log | 9.7209 | 418 | 1.0338 | 0.2613 | 1.0338 | 1.0168 |
| No log | 9.7674 | 420 | 1.0232 | 0.2828 | 1.0232 | 1.0115 |
| No log | 9.8140 | 422 | 1.0173 | 0.2828 | 1.0173 | 1.0086 |
| No log | 9.8605 | 424 | 1.0111 | 0.2828 | 1.0111 | 1.0055 |
| No log | 9.9070 | 426 | 1.0038 | 0.2842 | 1.0038 | 1.0019 |
| No log | 9.9535 | 428 | 0.9978 | 0.2842 | 0.9978 | 0.9989 |
| No log | 10.0 | 430 | 0.9971 | 0.2842 | 0.9971 | 0.9985 |
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_k7_task3_organization
Base model
aubmindlab/bert-base-arabertv02