Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task1_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: 0.6925
- Qwk: 0.7206
- Mse: 0.6925
- Rmse: 0.8322
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 | 0.0233 | 2 | 7.2013 | 0.0055 | 7.2013 | 2.6835 |
| No log | 0.0465 | 4 | 4.3078 | 0.1469 | 4.3078 | 2.0755 |
| No log | 0.0698 | 6 | 3.1026 | 0.0970 | 3.1026 | 1.7614 |
| No log | 0.0930 | 8 | 2.1821 | 0.1926 | 2.1821 | 1.4772 |
| No log | 0.1163 | 10 | 1.7709 | 0.1455 | 1.7709 | 1.3308 |
| No log | 0.1395 | 12 | 2.0216 | 0.1639 | 2.0216 | 1.4218 |
| No log | 0.1628 | 14 | 1.8071 | 0.0943 | 1.8071 | 1.3443 |
| No log | 0.1860 | 16 | 1.8532 | 0.0935 | 1.8532 | 1.3613 |
| No log | 0.2093 | 18 | 2.8131 | -0.0420 | 2.8131 | 1.6772 |
| No log | 0.2326 | 20 | 2.9715 | 0.0400 | 2.9715 | 1.7238 |
| No log | 0.2558 | 22 | 2.7456 | 0.0676 | 2.7456 | 1.6570 |
| No log | 0.2791 | 24 | 2.2622 | 0.1135 | 2.2622 | 1.5041 |
| No log | 0.3023 | 26 | 1.9837 | 0.2647 | 1.9837 | 1.4084 |
| No log | 0.3256 | 28 | 1.3743 | 0.4034 | 1.3743 | 1.1723 |
| No log | 0.3488 | 30 | 1.3492 | 0.4480 | 1.3492 | 1.1616 |
| No log | 0.3721 | 32 | 1.3273 | 0.3214 | 1.3273 | 1.1521 |
| No log | 0.3953 | 34 | 1.7001 | 0.3566 | 1.7001 | 1.3039 |
| No log | 0.4186 | 36 | 2.2978 | 0.1733 | 2.2978 | 1.5159 |
| No log | 0.4419 | 38 | 2.8221 | 0.1325 | 2.8221 | 1.6799 |
| No log | 0.4651 | 40 | 2.8524 | 0.1325 | 2.8524 | 1.6889 |
| No log | 0.4884 | 42 | 2.4646 | 0.1258 | 2.4646 | 1.5699 |
| No log | 0.5116 | 44 | 2.2348 | 0.1818 | 2.2348 | 1.4949 |
| No log | 0.5349 | 46 | 2.0721 | 0.2297 | 2.0721 | 1.4395 |
| No log | 0.5581 | 48 | 1.8775 | 0.3217 | 1.8775 | 1.3702 |
| No log | 0.5814 | 50 | 1.8853 | 0.3056 | 1.8853 | 1.3731 |
| No log | 0.6047 | 52 | 1.5233 | 0.4651 | 1.5233 | 1.2342 |
| No log | 0.6279 | 54 | 1.1337 | 0.4370 | 1.1337 | 1.0648 |
| No log | 0.6512 | 56 | 1.1837 | 0.4874 | 1.1837 | 1.0880 |
| No log | 0.6744 | 58 | 1.1650 | 0.5000 | 1.1650 | 1.0793 |
| No log | 0.6977 | 60 | 1.0375 | 0.5397 | 1.0375 | 1.0186 |
| No log | 0.7209 | 62 | 0.9760 | 0.6 | 0.9760 | 0.9879 |
| No log | 0.7442 | 64 | 0.9474 | 0.6308 | 0.9474 | 0.9734 |
| No log | 0.7674 | 66 | 0.9730 | 0.5625 | 0.9730 | 0.9864 |
| No log | 0.7907 | 68 | 1.0320 | 0.5827 | 1.0320 | 1.0159 |
| No log | 0.8140 | 70 | 1.0261 | 0.5354 | 1.0261 | 1.0130 |
| No log | 0.8372 | 72 | 1.1237 | 0.5312 | 1.1237 | 1.0600 |
| No log | 0.8605 | 74 | 1.0118 | 0.5366 | 1.0118 | 1.0059 |
| No log | 0.8837 | 76 | 0.9751 | 0.5366 | 0.9751 | 0.9875 |
| No log | 0.9070 | 78 | 0.9067 | 0.5645 | 0.9067 | 0.9522 |
| No log | 0.9302 | 80 | 0.7949 | 0.6466 | 0.7949 | 0.8916 |
| No log | 0.9535 | 82 | 0.7030 | 0.6618 | 0.7030 | 0.8384 |
| No log | 0.9767 | 84 | 0.6799 | 0.7234 | 0.6799 | 0.8245 |
| No log | 1.0 | 86 | 0.6467 | 0.7568 | 0.6467 | 0.8042 |
| No log | 1.0233 | 88 | 0.6155 | 0.7898 | 0.6155 | 0.7845 |
| No log | 1.0465 | 90 | 0.5967 | 0.8 | 0.5967 | 0.7725 |
| No log | 1.0698 | 92 | 0.6459 | 0.76 | 0.6459 | 0.8037 |
| No log | 1.0930 | 94 | 0.9303 | 0.6429 | 0.9303 | 0.9645 |
| No log | 1.1163 | 96 | 1.1207 | 0.5588 | 1.1207 | 1.0586 |
| No log | 1.1395 | 98 | 0.9495 | 0.5821 | 0.9495 | 0.9744 |
| No log | 1.1628 | 100 | 0.7548 | 0.6815 | 0.7548 | 0.8688 |
| No log | 1.1860 | 102 | 0.8503 | 0.6963 | 0.8503 | 0.9221 |
| No log | 1.2093 | 104 | 1.0572 | 0.5735 | 1.0572 | 1.0282 |
| No log | 1.2326 | 106 | 0.8059 | 0.7133 | 0.8059 | 0.8977 |
| No log | 1.2558 | 108 | 0.6920 | 0.6950 | 0.6920 | 0.8319 |
| No log | 1.2791 | 110 | 1.0965 | 0.5362 | 1.0965 | 1.0471 |
| No log | 1.3023 | 112 | 1.3137 | 0.4681 | 1.3137 | 1.1462 |
| No log | 1.3256 | 114 | 1.0360 | 0.5972 | 1.0360 | 1.0178 |
| No log | 1.3488 | 116 | 0.6783 | 0.7260 | 0.6783 | 0.8236 |
| No log | 1.3721 | 118 | 0.5427 | 0.7974 | 0.5427 | 0.7367 |
| No log | 1.3953 | 120 | 0.7447 | 0.7439 | 0.7447 | 0.8629 |
| No log | 1.4186 | 122 | 0.8128 | 0.7239 | 0.8128 | 0.9016 |
| No log | 1.4419 | 124 | 0.7009 | 0.7848 | 0.7009 | 0.8372 |
| No log | 1.4651 | 126 | 0.5797 | 0.8000 | 0.5797 | 0.7614 |
| No log | 1.4884 | 128 | 0.5744 | 0.8000 | 0.5744 | 0.7579 |
| No log | 1.5116 | 130 | 0.5625 | 0.8000 | 0.5625 | 0.7500 |
| No log | 1.5349 | 132 | 0.5572 | 0.8000 | 0.5572 | 0.7464 |
| No log | 1.5581 | 134 | 0.6588 | 0.7613 | 0.6588 | 0.8117 |
| No log | 1.5814 | 136 | 0.8166 | 0.7006 | 0.8166 | 0.9037 |
| No log | 1.6047 | 138 | 0.6451 | 0.7742 | 0.6451 | 0.8032 |
| No log | 1.6279 | 140 | 0.5112 | 0.8105 | 0.5112 | 0.7150 |
| No log | 1.6512 | 142 | 0.8092 | 0.6839 | 0.8092 | 0.8996 |
| No log | 1.6744 | 144 | 0.9549 | 0.6490 | 0.9549 | 0.9772 |
| No log | 1.6977 | 146 | 0.8751 | 0.6667 | 0.8751 | 0.9355 |
| No log | 1.7209 | 148 | 0.7586 | 0.7397 | 0.7586 | 0.8710 |
| No log | 1.7442 | 150 | 0.6845 | 0.7310 | 0.6845 | 0.8274 |
| No log | 1.7674 | 152 | 0.6498 | 0.7361 | 0.6498 | 0.8061 |
| No log | 1.7907 | 154 | 0.6823 | 0.7448 | 0.6823 | 0.8260 |
| No log | 1.8140 | 156 | 0.7448 | 0.7361 | 0.7448 | 0.8630 |
| No log | 1.8372 | 158 | 0.7590 | 0.7273 | 0.7590 | 0.8712 |
| No log | 1.8605 | 160 | 0.7383 | 0.7092 | 0.7383 | 0.8592 |
| No log | 1.8837 | 162 | 0.7497 | 0.7 | 0.7497 | 0.8658 |
| No log | 1.9070 | 164 | 0.7565 | 0.7050 | 0.7565 | 0.8698 |
| No log | 1.9302 | 166 | 0.7491 | 0.7143 | 0.7491 | 0.8655 |
| No log | 1.9535 | 168 | 0.7369 | 0.7143 | 0.7369 | 0.8584 |
| No log | 1.9767 | 170 | 0.6814 | 0.7273 | 0.6814 | 0.8255 |
| No log | 2.0 | 172 | 0.6951 | 0.6812 | 0.6951 | 0.8337 |
| No log | 2.0233 | 174 | 0.7583 | 0.6667 | 0.7583 | 0.8708 |
| No log | 2.0465 | 176 | 0.7590 | 0.6866 | 0.7590 | 0.8712 |
| No log | 2.0698 | 178 | 0.6709 | 0.7391 | 0.6709 | 0.8191 |
| No log | 2.0930 | 180 | 0.6165 | 0.7660 | 0.6165 | 0.7852 |
| No log | 2.1163 | 182 | 0.5973 | 0.7465 | 0.5973 | 0.7728 |
| No log | 2.1395 | 184 | 0.5851 | 0.7778 | 0.5851 | 0.7649 |
| No log | 2.1628 | 186 | 0.6110 | 0.7429 | 0.6110 | 0.7817 |
| No log | 2.1860 | 188 | 0.7250 | 0.6713 | 0.7250 | 0.8515 |
| No log | 2.2093 | 190 | 0.8130 | 0.6622 | 0.8130 | 0.9017 |
| No log | 2.2326 | 192 | 0.7356 | 0.6803 | 0.7356 | 0.8577 |
| No log | 2.2558 | 194 | 0.6138 | 0.7763 | 0.6138 | 0.7834 |
| No log | 2.2791 | 196 | 0.4970 | 0.8101 | 0.4970 | 0.7049 |
| No log | 2.3023 | 198 | 0.4815 | 0.8485 | 0.4815 | 0.6939 |
| No log | 2.3256 | 200 | 0.4748 | 0.8375 | 0.4748 | 0.6891 |
| No log | 2.3488 | 202 | 0.5174 | 0.7975 | 0.5174 | 0.7193 |
| No log | 2.3721 | 204 | 0.5565 | 0.8129 | 0.5565 | 0.7460 |
| No log | 2.3953 | 206 | 0.5886 | 0.8025 | 0.5886 | 0.7672 |
| No log | 2.4186 | 208 | 0.6236 | 0.7671 | 0.6236 | 0.7897 |
| No log | 2.4419 | 210 | 0.6100 | 0.7619 | 0.6100 | 0.7810 |
| No log | 2.4651 | 212 | 0.5932 | 0.7838 | 0.5932 | 0.7702 |
| No log | 2.4884 | 214 | 0.5648 | 0.7947 | 0.5648 | 0.7516 |
| No log | 2.5116 | 216 | 0.5442 | 0.7947 | 0.5442 | 0.7377 |
| No log | 2.5349 | 218 | 0.5284 | 0.8052 | 0.5284 | 0.7269 |
| No log | 2.5581 | 220 | 0.5286 | 0.8176 | 0.5286 | 0.7271 |
| No log | 2.5814 | 222 | 0.5770 | 0.8101 | 0.5770 | 0.7596 |
| No log | 2.6047 | 224 | 0.6168 | 0.7682 | 0.6168 | 0.7854 |
| No log | 2.6279 | 226 | 0.5886 | 0.8182 | 0.5886 | 0.7672 |
| No log | 2.6512 | 228 | 0.5615 | 0.8258 | 0.5615 | 0.7493 |
| No log | 2.6744 | 230 | 0.5641 | 0.8176 | 0.5641 | 0.7511 |
| No log | 2.6977 | 232 | 0.5720 | 0.8 | 0.5720 | 0.7563 |
| No log | 2.7209 | 234 | 0.5121 | 0.8176 | 0.5121 | 0.7156 |
| No log | 2.7442 | 236 | 0.4488 | 0.8364 | 0.4488 | 0.6699 |
| No log | 2.7674 | 238 | 0.4310 | 0.8434 | 0.4310 | 0.6565 |
| No log | 2.7907 | 240 | 0.4400 | 0.8466 | 0.4400 | 0.6633 |
| No log | 2.8140 | 242 | 0.4702 | 0.8199 | 0.4702 | 0.6857 |
| No log | 2.8372 | 244 | 0.4784 | 0.8415 | 0.4784 | 0.6916 |
| No log | 2.8605 | 246 | 0.5390 | 0.7950 | 0.5390 | 0.7341 |
| No log | 2.8837 | 248 | 0.5829 | 0.7975 | 0.5829 | 0.7635 |
| No log | 2.9070 | 250 | 0.6383 | 0.7925 | 0.6383 | 0.7989 |
| No log | 2.9302 | 252 | 0.5547 | 0.8129 | 0.5547 | 0.7448 |
| No log | 2.9535 | 254 | 0.5258 | 0.7947 | 0.5258 | 0.7252 |
| No log | 2.9767 | 256 | 0.7318 | 0.6846 | 0.7318 | 0.8555 |
| No log | 3.0 | 258 | 0.7595 | 0.6928 | 0.7595 | 0.8715 |
| No log | 3.0233 | 260 | 0.7632 | 0.7027 | 0.7632 | 0.8736 |
| No log | 3.0465 | 262 | 0.6069 | 0.7534 | 0.6069 | 0.7790 |
| No log | 3.0698 | 264 | 0.5627 | 0.7808 | 0.5627 | 0.7502 |
| No log | 3.0930 | 266 | 0.5966 | 0.7724 | 0.5966 | 0.7724 |
| No log | 3.1163 | 268 | 0.6504 | 0.7465 | 0.6504 | 0.8065 |
| No log | 3.1395 | 270 | 0.7384 | 0.7143 | 0.7384 | 0.8593 |
| No log | 3.1628 | 272 | 0.7556 | 0.7059 | 0.7556 | 0.8693 |
| No log | 3.1860 | 274 | 0.8064 | 0.6 | 0.8064 | 0.8980 |
| No log | 3.2093 | 276 | 0.9566 | 0.5970 | 0.9566 | 0.9780 |
| No log | 3.2326 | 278 | 1.0763 | 0.5857 | 1.0763 | 1.0375 |
| No log | 3.2558 | 280 | 0.9905 | 0.6 | 0.9905 | 0.9952 |
| No log | 3.2791 | 282 | 0.8092 | 0.6074 | 0.8092 | 0.8996 |
| No log | 3.3023 | 284 | 0.7011 | 0.7194 | 0.7011 | 0.8373 |
| No log | 3.3256 | 286 | 0.7906 | 0.7248 | 0.7906 | 0.8892 |
| No log | 3.3488 | 288 | 0.7977 | 0.7020 | 0.7977 | 0.8932 |
| No log | 3.3721 | 290 | 0.7033 | 0.7483 | 0.7033 | 0.8386 |
| No log | 3.3953 | 292 | 0.6290 | 0.7534 | 0.6290 | 0.7931 |
| No log | 3.4186 | 294 | 0.6188 | 0.7619 | 0.6188 | 0.7866 |
| No log | 3.4419 | 296 | 0.6645 | 0.7552 | 0.6645 | 0.8151 |
| No log | 3.4651 | 298 | 0.7094 | 0.7286 | 0.7094 | 0.8423 |
| No log | 3.4884 | 300 | 0.7431 | 0.6861 | 0.7431 | 0.8620 |
| No log | 3.5116 | 302 | 0.7311 | 0.6957 | 0.7311 | 0.8550 |
| No log | 3.5349 | 304 | 0.6826 | 0.7448 | 0.6826 | 0.8262 |
| No log | 3.5581 | 306 | 0.6271 | 0.7534 | 0.6271 | 0.7919 |
| No log | 3.5814 | 308 | 0.5650 | 0.7733 | 0.5650 | 0.7517 |
| No log | 3.6047 | 310 | 0.5418 | 0.8026 | 0.5418 | 0.7360 |
| No log | 3.6279 | 312 | 0.5717 | 0.7945 | 0.5717 | 0.7561 |
| No log | 3.6512 | 314 | 0.5992 | 0.7724 | 0.5992 | 0.7741 |
| No log | 3.6744 | 316 | 0.5881 | 0.7838 | 0.5881 | 0.7668 |
| No log | 3.6977 | 318 | 0.5913 | 0.7619 | 0.5913 | 0.7690 |
| No log | 3.7209 | 320 | 0.5469 | 0.7867 | 0.5469 | 0.7396 |
| No log | 3.7442 | 322 | 0.5057 | 0.7974 | 0.5057 | 0.7111 |
| No log | 3.7674 | 324 | 0.5081 | 0.7922 | 0.5081 | 0.7128 |
| No log | 3.7907 | 326 | 0.5488 | 0.7975 | 0.5488 | 0.7408 |
| No log | 3.8140 | 328 | 0.6830 | 0.7484 | 0.6830 | 0.8264 |
| No log | 3.8372 | 330 | 0.7381 | 0.72 | 0.7381 | 0.8591 |
| No log | 3.8605 | 332 | 0.6575 | 0.7248 | 0.6575 | 0.8108 |
| No log | 3.8837 | 334 | 0.5907 | 0.7843 | 0.5907 | 0.7686 |
| No log | 3.9070 | 336 | 0.5733 | 0.7919 | 0.5733 | 0.7572 |
| No log | 3.9302 | 338 | 0.6155 | 0.8105 | 0.6155 | 0.7845 |
| No log | 3.9535 | 340 | 0.6229 | 0.7755 | 0.6229 | 0.7893 |
| No log | 3.9767 | 342 | 0.6448 | 0.7843 | 0.6448 | 0.8030 |
| No log | 4.0 | 344 | 0.7507 | 0.7075 | 0.7507 | 0.8664 |
| No log | 4.0233 | 346 | 0.7551 | 0.7075 | 0.7551 | 0.8689 |
| No log | 4.0465 | 348 | 0.6472 | 0.7682 | 0.6472 | 0.8045 |
| No log | 4.0698 | 350 | 0.5535 | 0.7843 | 0.5535 | 0.7440 |
| No log | 4.0930 | 352 | 0.5467 | 0.7922 | 0.5467 | 0.7394 |
| No log | 4.1163 | 354 | 0.5688 | 0.7974 | 0.5688 | 0.7542 |
| No log | 4.1395 | 356 | 0.5469 | 0.7922 | 0.5469 | 0.7395 |
| No log | 4.1628 | 358 | 0.5407 | 0.7922 | 0.5407 | 0.7353 |
| No log | 4.1860 | 360 | 0.5288 | 0.7922 | 0.5288 | 0.7272 |
| No log | 4.2093 | 362 | 0.5385 | 0.8105 | 0.5385 | 0.7338 |
| No log | 4.2326 | 364 | 0.5589 | 0.7815 | 0.5589 | 0.7476 |
| No log | 4.2558 | 366 | 0.5629 | 0.7843 | 0.5629 | 0.7503 |
| No log | 4.2791 | 368 | 0.5997 | 0.7534 | 0.5997 | 0.7744 |
| No log | 4.3023 | 370 | 0.6152 | 0.7534 | 0.6152 | 0.7843 |
| No log | 4.3256 | 372 | 0.5793 | 0.7651 | 0.5793 | 0.7611 |
| No log | 4.3488 | 374 | 0.5811 | 0.7867 | 0.5811 | 0.7623 |
| No log | 4.3721 | 376 | 0.6287 | 0.7432 | 0.6287 | 0.7929 |
| No log | 4.3953 | 378 | 0.6516 | 0.7310 | 0.6516 | 0.8072 |
| No log | 4.4186 | 380 | 0.6517 | 0.7172 | 0.6517 | 0.8073 |
| No log | 4.4419 | 382 | 0.6763 | 0.6857 | 0.6763 | 0.8224 |
| No log | 4.4651 | 384 | 0.6977 | 0.6619 | 0.6977 | 0.8353 |
| No log | 4.4884 | 386 | 0.6917 | 0.6857 | 0.6917 | 0.8317 |
| No log | 4.5116 | 388 | 0.6781 | 0.7042 | 0.6781 | 0.8235 |
| No log | 4.5349 | 390 | 0.6802 | 0.7092 | 0.6802 | 0.8247 |
| No log | 4.5581 | 392 | 0.6590 | 0.7133 | 0.6590 | 0.8118 |
| No log | 4.5814 | 394 | 0.6028 | 0.7347 | 0.6028 | 0.7764 |
| No log | 4.6047 | 396 | 0.5881 | 0.7703 | 0.5881 | 0.7669 |
| No log | 4.6279 | 398 | 0.6128 | 0.7448 | 0.6128 | 0.7828 |
| No log | 4.6512 | 400 | 0.6065 | 0.8 | 0.6065 | 0.7788 |
| No log | 4.6744 | 402 | 0.6506 | 0.7234 | 0.6506 | 0.8066 |
| No log | 4.6977 | 404 | 0.6840 | 0.7092 | 0.6840 | 0.8270 |
| No log | 4.7209 | 406 | 0.6394 | 0.7429 | 0.6394 | 0.7996 |
| No log | 4.7442 | 408 | 0.6256 | 0.75 | 0.6256 | 0.7909 |
| No log | 4.7674 | 410 | 0.6497 | 0.7467 | 0.6497 | 0.8060 |
| No log | 4.7907 | 412 | 0.5871 | 0.75 | 0.5871 | 0.7662 |
| No log | 4.8140 | 414 | 0.4954 | 0.8026 | 0.4954 | 0.7038 |
| No log | 4.8372 | 416 | 0.5467 | 0.7975 | 0.5467 | 0.7394 |
| No log | 4.8605 | 418 | 0.6312 | 0.7310 | 0.6312 | 0.7945 |
| No log | 4.8837 | 420 | 0.6548 | 0.7183 | 0.6548 | 0.8092 |
| No log | 4.9070 | 422 | 0.6208 | 0.75 | 0.6208 | 0.7879 |
| No log | 4.9302 | 424 | 0.6529 | 0.7692 | 0.6529 | 0.8080 |
| No log | 4.9535 | 426 | 0.7305 | 0.7101 | 0.7305 | 0.8547 |
| No log | 4.9767 | 428 | 0.7354 | 0.7246 | 0.7354 | 0.8576 |
| No log | 5.0 | 430 | 0.6687 | 0.7518 | 0.6687 | 0.8177 |
| No log | 5.0233 | 432 | 0.6096 | 0.7534 | 0.6096 | 0.7808 |
| No log | 5.0465 | 434 | 0.5408 | 0.8212 | 0.5408 | 0.7354 |
| No log | 5.0698 | 436 | 0.5103 | 0.8258 | 0.5103 | 0.7143 |
| No log | 5.0930 | 438 | 0.5062 | 0.8077 | 0.5062 | 0.7115 |
| No log | 5.1163 | 440 | 0.4988 | 0.8205 | 0.4988 | 0.7062 |
| No log | 5.1395 | 442 | 0.5083 | 0.8205 | 0.5083 | 0.7130 |
| No log | 5.1628 | 444 | 0.5336 | 0.8105 | 0.5336 | 0.7305 |
| No log | 5.1860 | 446 | 0.5793 | 0.7919 | 0.5793 | 0.7611 |
| No log | 5.2093 | 448 | 0.6455 | 0.75 | 0.6455 | 0.8035 |
| No log | 5.2326 | 450 | 0.6350 | 0.7619 | 0.6350 | 0.7968 |
| No log | 5.2558 | 452 | 0.6253 | 0.7568 | 0.6253 | 0.7907 |
| No log | 5.2791 | 454 | 0.5670 | 0.8212 | 0.5670 | 0.7530 |
| No log | 5.3023 | 456 | 0.5121 | 0.8280 | 0.5121 | 0.7156 |
| No log | 5.3256 | 458 | 0.5626 | 0.7898 | 0.5626 | 0.7501 |
| No log | 5.3488 | 460 | 0.5517 | 0.7799 | 0.5517 | 0.7428 |
| No log | 5.3721 | 462 | 0.4982 | 0.8272 | 0.4982 | 0.7059 |
| No log | 5.3953 | 464 | 0.4557 | 0.8125 | 0.4557 | 0.6751 |
| No log | 5.4186 | 466 | 0.5896 | 0.7815 | 0.5896 | 0.7678 |
| No log | 5.4419 | 468 | 0.7980 | 0.6849 | 0.7980 | 0.8933 |
| No log | 5.4651 | 470 | 0.8710 | 0.6667 | 0.8710 | 0.9333 |
| No log | 5.4884 | 472 | 0.7664 | 0.6713 | 0.7664 | 0.8755 |
| No log | 5.5116 | 474 | 0.6428 | 0.76 | 0.6428 | 0.8018 |
| No log | 5.5349 | 476 | 0.5561 | 0.8 | 0.5561 | 0.7457 |
| No log | 5.5581 | 478 | 0.5394 | 0.8267 | 0.5394 | 0.7345 |
| No log | 5.5814 | 480 | 0.5418 | 0.8 | 0.5418 | 0.7361 |
| No log | 5.6047 | 482 | 0.5948 | 0.7703 | 0.5948 | 0.7712 |
| No log | 5.6279 | 484 | 0.6286 | 0.7534 | 0.6286 | 0.7929 |
| No log | 5.6512 | 486 | 0.5915 | 0.7619 | 0.5915 | 0.7691 |
| No log | 5.6744 | 488 | 0.5564 | 0.8 | 0.5564 | 0.7459 |
| No log | 5.6977 | 490 | 0.5466 | 0.7947 | 0.5466 | 0.7393 |
| No log | 5.7209 | 492 | 0.5704 | 0.7651 | 0.5704 | 0.7552 |
| No log | 5.7442 | 494 | 0.6160 | 0.7568 | 0.6160 | 0.7849 |
| No log | 5.7674 | 496 | 0.5847 | 0.7568 | 0.5847 | 0.7647 |
| No log | 5.7907 | 498 | 0.5198 | 0.7947 | 0.5198 | 0.7209 |
| 0.4348 | 5.8140 | 500 | 0.5252 | 0.8312 | 0.5252 | 0.7247 |
| 0.4348 | 5.8372 | 502 | 0.6934 | 0.7308 | 0.6934 | 0.8327 |
| 0.4348 | 5.8605 | 504 | 0.8490 | 0.6842 | 0.8490 | 0.9214 |
| 0.4348 | 5.8837 | 506 | 0.8424 | 0.6486 | 0.8424 | 0.9178 |
| 0.4348 | 5.9070 | 508 | 0.7746 | 0.7050 | 0.7746 | 0.8801 |
| 0.4348 | 5.9302 | 510 | 0.6925 | 0.7206 | 0.6925 | 0.8322 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task1_organization
Base model
aubmindlab/bert-base-arabertv02