Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k17_task7_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_k17_task7_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_k17_task7_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k17_task7_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k17_task7_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k17_task7_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: 0.5206
- Qwk: 0.5492
- Mse: 0.5206
- Rmse: 0.7215
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 | 0.0465 | 2 | 2.5216 | -0.0788 | 2.5216 | 1.5880 |
| No log | 0.0930 | 4 | 1.3298 | 0.0987 | 1.3298 | 1.1531 |
| No log | 0.1395 | 6 | 1.1231 | -0.1802 | 1.1231 | 1.0598 |
| No log | 0.1860 | 8 | 0.9602 | 0.1584 | 0.9602 | 0.9799 |
| No log | 0.2326 | 10 | 0.9949 | 0.1787 | 0.9949 | 0.9974 |
| No log | 0.2791 | 12 | 0.9448 | 0.1914 | 0.9448 | 0.9720 |
| No log | 0.3256 | 14 | 0.8636 | -0.0500 | 0.8636 | 0.9293 |
| No log | 0.3721 | 16 | 0.8411 | 0.0428 | 0.8411 | 0.9171 |
| No log | 0.4186 | 18 | 0.8386 | 0.0 | 0.8386 | 0.9158 |
| No log | 0.4651 | 20 | 0.8513 | 0.0481 | 0.8513 | 0.9227 |
| No log | 0.5116 | 22 | 0.8073 | 0.0481 | 0.8073 | 0.8985 |
| No log | 0.5581 | 24 | 0.7473 | -0.0027 | 0.7473 | 0.8645 |
| No log | 0.6047 | 26 | 0.7141 | 0.0393 | 0.7141 | 0.8450 |
| No log | 0.6512 | 28 | 0.7378 | 0.1863 | 0.7378 | 0.8590 |
| No log | 0.6977 | 30 | 0.7711 | 0.1508 | 0.7711 | 0.8781 |
| No log | 0.7442 | 32 | 0.7876 | 0.0798 | 0.7876 | 0.8875 |
| No log | 0.7907 | 34 | 0.7918 | 0.1863 | 0.7918 | 0.8899 |
| No log | 0.8372 | 36 | 0.7878 | 0.1508 | 0.7878 | 0.8876 |
| No log | 0.8837 | 38 | 0.7839 | 0.1863 | 0.7839 | 0.8854 |
| No log | 0.9302 | 40 | 0.7700 | 0.1863 | 0.7700 | 0.8775 |
| No log | 0.9767 | 42 | 0.7589 | 0.1313 | 0.7589 | 0.8711 |
| No log | 1.0233 | 44 | 0.7514 | 0.1508 | 0.7514 | 0.8669 |
| No log | 1.0698 | 46 | 0.7350 | 0.1187 | 0.7350 | 0.8573 |
| No log | 1.1163 | 48 | 0.7033 | 0.1508 | 0.7033 | 0.8387 |
| No log | 1.1628 | 50 | 0.7157 | 0.1407 | 0.7157 | 0.8460 |
| No log | 1.2093 | 52 | 0.8240 | 0.2116 | 0.8240 | 0.9078 |
| No log | 1.2558 | 54 | 0.8788 | 0.2843 | 0.8788 | 0.9374 |
| No log | 1.3023 | 56 | 0.8123 | 0.1766 | 0.8123 | 0.9013 |
| No log | 1.3488 | 58 | 0.7238 | 0.2589 | 0.7238 | 0.8508 |
| No log | 1.3953 | 60 | 0.6827 | 0.3166 | 0.6827 | 0.8263 |
| No log | 1.4419 | 62 | 0.6554 | 0.3465 | 0.6554 | 0.8096 |
| No log | 1.4884 | 64 | 0.6981 | 0.3032 | 0.6981 | 0.8355 |
| No log | 1.5349 | 66 | 0.7468 | 0.3494 | 0.7468 | 0.8642 |
| No log | 1.5814 | 68 | 0.7420 | 0.3894 | 0.7420 | 0.8614 |
| No log | 1.6279 | 70 | 0.6926 | 0.3167 | 0.6926 | 0.8322 |
| No log | 1.6744 | 72 | 0.6332 | 0.3387 | 0.6332 | 0.7957 |
| No log | 1.7209 | 74 | 0.6267 | 0.3754 | 0.6267 | 0.7916 |
| No log | 1.7674 | 76 | 0.7521 | 0.2796 | 0.7521 | 0.8672 |
| No log | 1.8140 | 78 | 0.7386 | 0.2610 | 0.7386 | 0.8594 |
| No log | 1.8605 | 80 | 0.6403 | 0.3200 | 0.6403 | 0.8002 |
| No log | 1.9070 | 82 | 0.5881 | 0.3465 | 0.5881 | 0.7669 |
| No log | 1.9535 | 84 | 0.6596 | 0.4392 | 0.6596 | 0.8121 |
| No log | 2.0 | 86 | 0.6852 | 0.4089 | 0.6852 | 0.8278 |
| No log | 2.0465 | 88 | 0.6648 | 0.3409 | 0.6648 | 0.8154 |
| No log | 2.0930 | 90 | 0.6343 | 0.3312 | 0.6343 | 0.7964 |
| No log | 2.1395 | 92 | 0.6310 | 0.4354 | 0.6310 | 0.7943 |
| No log | 2.1860 | 94 | 0.6324 | 0.4660 | 0.6324 | 0.7953 |
| No log | 2.2326 | 96 | 0.6357 | 0.4659 | 0.6357 | 0.7973 |
| No log | 2.2791 | 98 | 0.6348 | 0.3728 | 0.6348 | 0.7967 |
| No log | 2.3256 | 100 | 0.6218 | 0.4659 | 0.6218 | 0.7886 |
| No log | 2.3721 | 102 | 0.6559 | 0.3963 | 0.6559 | 0.8099 |
| No log | 2.4186 | 104 | 0.6696 | 0.4123 | 0.6696 | 0.8183 |
| No log | 2.4651 | 106 | 0.6710 | 0.4369 | 0.6710 | 0.8192 |
| No log | 2.5116 | 108 | 0.6682 | 0.4369 | 0.6682 | 0.8174 |
| No log | 2.5581 | 110 | 0.6889 | 0.4587 | 0.6889 | 0.8300 |
| No log | 2.6047 | 112 | 0.6762 | 0.4369 | 0.6762 | 0.8223 |
| No log | 2.6512 | 114 | 0.6553 | 0.4036 | 0.6553 | 0.8095 |
| No log | 2.6977 | 116 | 0.6317 | 0.3700 | 0.6317 | 0.7948 |
| No log | 2.7442 | 118 | 0.6269 | 0.4007 | 0.6269 | 0.7918 |
| No log | 2.7907 | 120 | 0.6786 | 0.4144 | 0.6786 | 0.8238 |
| No log | 2.8372 | 122 | 0.7461 | 0.4223 | 0.7461 | 0.8638 |
| No log | 2.8837 | 124 | 0.6931 | 0.4243 | 0.6931 | 0.8325 |
| No log | 2.9302 | 126 | 0.6620 | 0.4428 | 0.6620 | 0.8136 |
| No log | 2.9767 | 128 | 0.7196 | 0.4486 | 0.7196 | 0.8483 |
| No log | 3.0233 | 130 | 0.7905 | 0.4286 | 0.7905 | 0.8891 |
| No log | 3.0698 | 132 | 0.7932 | 0.4667 | 0.7932 | 0.8906 |
| No log | 3.1163 | 134 | 0.7309 | 0.3844 | 0.7309 | 0.8550 |
| No log | 3.1628 | 136 | 0.7509 | 0.3992 | 0.7509 | 0.8665 |
| No log | 3.2093 | 138 | 0.7730 | 0.4468 | 0.7730 | 0.8792 |
| No log | 3.2558 | 140 | 0.8695 | 0.3377 | 0.8695 | 0.9324 |
| No log | 3.3023 | 142 | 0.7781 | 0.4366 | 0.7781 | 0.8821 |
| No log | 3.3488 | 144 | 0.7173 | 0.4197 | 0.7173 | 0.8470 |
| No log | 3.3953 | 146 | 0.7185 | 0.3723 | 0.7185 | 0.8476 |
| No log | 3.4419 | 148 | 0.8004 | 0.3891 | 0.8004 | 0.8947 |
| No log | 3.4884 | 150 | 0.7193 | 0.3817 | 0.7193 | 0.8481 |
| No log | 3.5349 | 152 | 0.6513 | 0.3978 | 0.6513 | 0.8071 |
| No log | 3.5814 | 154 | 0.7636 | 0.4063 | 0.7636 | 0.8738 |
| No log | 3.6279 | 156 | 0.7489 | 0.4236 | 0.7489 | 0.8654 |
| No log | 3.6744 | 158 | 0.6498 | 0.5200 | 0.6498 | 0.8061 |
| No log | 3.7209 | 160 | 0.6581 | 0.4444 | 0.6581 | 0.8113 |
| No log | 3.7674 | 162 | 0.8335 | 0.4013 | 0.8335 | 0.9129 |
| No log | 3.8140 | 164 | 0.8437 | 0.3501 | 0.8437 | 0.9185 |
| No log | 3.8605 | 166 | 0.7447 | 0.2558 | 0.7447 | 0.8630 |
| No log | 3.9070 | 168 | 0.6562 | 0.2909 | 0.6562 | 0.8101 |
| No log | 3.9535 | 170 | 0.5951 | 0.3357 | 0.5951 | 0.7714 |
| No log | 4.0 | 172 | 0.5613 | 0.4527 | 0.5613 | 0.7492 |
| No log | 4.0465 | 174 | 0.5433 | 0.4547 | 0.5433 | 0.7371 |
| No log | 4.0930 | 176 | 0.5683 | 0.5086 | 0.5683 | 0.7538 |
| No log | 4.1395 | 178 | 0.5865 | 0.5086 | 0.5865 | 0.7658 |
| No log | 4.1860 | 180 | 0.5787 | 0.5166 | 0.5787 | 0.7607 |
| No log | 4.2326 | 182 | 0.6390 | 0.4684 | 0.6390 | 0.7994 |
| No log | 4.2791 | 184 | 0.7665 | 0.4552 | 0.7665 | 0.8755 |
| No log | 4.3256 | 186 | 0.7546 | 0.4350 | 0.7546 | 0.8687 |
| No log | 4.3721 | 188 | 0.7207 | 0.4159 | 0.7207 | 0.8489 |
| No log | 4.4186 | 190 | 0.6486 | 0.4684 | 0.6486 | 0.8054 |
| No log | 4.4651 | 192 | 0.6186 | 0.4916 | 0.6186 | 0.7865 |
| No log | 4.5116 | 194 | 0.5859 | 0.4495 | 0.5859 | 0.7655 |
| No log | 4.5581 | 196 | 0.5910 | 0.5286 | 0.5910 | 0.7688 |
| No log | 4.6047 | 198 | 0.6384 | 0.4315 | 0.6384 | 0.7990 |
| No log | 4.6512 | 200 | 0.7494 | 0.3560 | 0.7494 | 0.8657 |
| No log | 4.6977 | 202 | 0.7975 | 0.3160 | 0.7975 | 0.8930 |
| No log | 4.7442 | 204 | 0.8886 | 0.2948 | 0.8886 | 0.9427 |
| No log | 4.7907 | 206 | 0.7379 | 0.3803 | 0.7379 | 0.8590 |
| No log | 4.8372 | 208 | 0.6294 | 0.4354 | 0.6294 | 0.7933 |
| No log | 4.8837 | 210 | 0.5940 | 0.4190 | 0.5940 | 0.7707 |
| No log | 4.9302 | 212 | 0.6110 | 0.4776 | 0.6110 | 0.7817 |
| No log | 4.9767 | 214 | 0.5942 | 0.4244 | 0.5942 | 0.7709 |
| No log | 5.0233 | 216 | 0.6811 | 0.4819 | 0.6811 | 0.8253 |
| No log | 5.0698 | 218 | 0.8033 | 0.4032 | 0.8033 | 0.8963 |
| No log | 5.1163 | 220 | 0.7555 | 0.4102 | 0.7555 | 0.8692 |
| No log | 5.1628 | 222 | 0.5789 | 0.5237 | 0.5789 | 0.7608 |
| No log | 5.2093 | 224 | 0.5514 | 0.5020 | 0.5514 | 0.7425 |
| No log | 5.2558 | 226 | 0.5517 | 0.4620 | 0.5517 | 0.7427 |
| No log | 5.3023 | 228 | 0.6169 | 0.5149 | 0.6169 | 0.7854 |
| No log | 5.3488 | 230 | 0.7253 | 0.3688 | 0.7253 | 0.8516 |
| No log | 5.3953 | 232 | 0.7342 | 0.4133 | 0.7342 | 0.8568 |
| No log | 5.4419 | 234 | 0.6497 | 0.4315 | 0.6497 | 0.8061 |
| No log | 5.4884 | 236 | 0.5848 | 0.4933 | 0.5848 | 0.7647 |
| No log | 5.5349 | 238 | 0.5436 | 0.5362 | 0.5436 | 0.7373 |
| No log | 5.5814 | 240 | 0.5463 | 0.5032 | 0.5463 | 0.7391 |
| No log | 5.6279 | 242 | 0.5442 | 0.5291 | 0.5442 | 0.7377 |
| No log | 5.6744 | 244 | 0.5396 | 0.5047 | 0.5396 | 0.7346 |
| No log | 5.7209 | 246 | 0.5480 | 0.5242 | 0.5480 | 0.7403 |
| No log | 5.7674 | 248 | 0.5402 | 0.5242 | 0.5402 | 0.7350 |
| No log | 5.8140 | 250 | 0.5453 | 0.5242 | 0.5453 | 0.7384 |
| No log | 5.8605 | 252 | 0.5531 | 0.5242 | 0.5531 | 0.7437 |
| No log | 5.9070 | 254 | 0.5434 | 0.5473 | 0.5434 | 0.7372 |
| No log | 5.9535 | 256 | 0.5160 | 0.5662 | 0.5160 | 0.7183 |
| No log | 6.0 | 258 | 0.5160 | 0.5923 | 0.5160 | 0.7183 |
| No log | 6.0465 | 260 | 0.5171 | 0.5923 | 0.5171 | 0.7191 |
| No log | 6.0930 | 262 | 0.5071 | 0.5845 | 0.5071 | 0.7121 |
| No log | 6.1395 | 264 | 0.5086 | 0.5528 | 0.5086 | 0.7131 |
| No log | 6.1860 | 266 | 0.5321 | 0.4970 | 0.5321 | 0.7294 |
| No log | 6.2326 | 268 | 0.5695 | 0.5620 | 0.5695 | 0.7546 |
| No log | 6.2791 | 270 | 0.5719 | 0.5911 | 0.5719 | 0.7562 |
| No log | 6.3256 | 272 | 0.5960 | 0.5745 | 0.5960 | 0.7720 |
| No log | 6.3721 | 274 | 0.6061 | 0.5742 | 0.6061 | 0.7785 |
| No log | 6.4186 | 276 | 0.5626 | 0.5906 | 0.5626 | 0.7500 |
| No log | 6.4651 | 278 | 0.5226 | 0.6240 | 0.5226 | 0.7229 |
| No log | 6.5116 | 280 | 0.5520 | 0.5403 | 0.5520 | 0.7430 |
| No log | 6.5581 | 282 | 0.5524 | 0.5512 | 0.5524 | 0.7432 |
| No log | 6.6047 | 284 | 0.5383 | 0.5288 | 0.5383 | 0.7337 |
| No log | 6.6512 | 286 | 0.5500 | 0.5867 | 0.5500 | 0.7416 |
| No log | 6.6977 | 288 | 0.5527 | 0.5853 | 0.5527 | 0.7434 |
| No log | 6.7442 | 290 | 0.5843 | 0.5433 | 0.5843 | 0.7644 |
| No log | 6.7907 | 292 | 0.6500 | 0.5561 | 0.6500 | 0.8062 |
| No log | 6.8372 | 294 | 0.6336 | 0.5459 | 0.6336 | 0.7960 |
| No log | 6.8837 | 296 | 0.5709 | 0.5368 | 0.5709 | 0.7556 |
| No log | 6.9302 | 298 | 0.5321 | 0.5958 | 0.5321 | 0.7294 |
| No log | 6.9767 | 300 | 0.5142 | 0.5436 | 0.5142 | 0.7171 |
| No log | 7.0233 | 302 | 0.5128 | 0.5234 | 0.5128 | 0.7161 |
| No log | 7.0698 | 304 | 0.4991 | 0.6184 | 0.4991 | 0.7065 |
| No log | 7.1163 | 306 | 0.5110 | 0.6115 | 0.5110 | 0.7148 |
| No log | 7.1628 | 308 | 0.5253 | 0.5173 | 0.5253 | 0.7248 |
| No log | 7.2093 | 310 | 0.5148 | 0.5845 | 0.5148 | 0.7175 |
| No log | 7.2558 | 312 | 0.5069 | 0.5926 | 0.5069 | 0.7120 |
| No log | 7.3023 | 314 | 0.5171 | 0.5669 | 0.5171 | 0.7191 |
| No log | 7.3488 | 316 | 0.5130 | 0.6198 | 0.5130 | 0.7163 |
| No log | 7.3953 | 318 | 0.5291 | 0.5597 | 0.5291 | 0.7274 |
| No log | 7.4419 | 320 | 0.5148 | 0.6173 | 0.5148 | 0.7175 |
| No log | 7.4884 | 322 | 0.5239 | 0.5479 | 0.5239 | 0.7238 |
| No log | 7.5349 | 324 | 0.5541 | 0.5710 | 0.5541 | 0.7443 |
| No log | 7.5814 | 326 | 0.5379 | 0.5392 | 0.5379 | 0.7334 |
| No log | 7.6279 | 328 | 0.5232 | 0.5586 | 0.5232 | 0.7233 |
| No log | 7.6744 | 330 | 0.5155 | 0.5383 | 0.5155 | 0.7180 |
| No log | 7.7209 | 332 | 0.5242 | 0.5273 | 0.5242 | 0.7240 |
| No log | 7.7674 | 334 | 0.5127 | 0.5273 | 0.5127 | 0.7161 |
| No log | 7.8140 | 336 | 0.5084 | 0.5505 | 0.5084 | 0.7130 |
| No log | 7.8605 | 338 | 0.5196 | 0.5953 | 0.5196 | 0.7208 |
| No log | 7.9070 | 340 | 0.5300 | 0.5854 | 0.5300 | 0.7280 |
| No log | 7.9535 | 342 | 0.5353 | 0.5854 | 0.5353 | 0.7316 |
| No log | 8.0 | 344 | 0.5411 | 0.5594 | 0.5411 | 0.7356 |
| No log | 8.0465 | 346 | 0.6454 | 0.4887 | 0.6454 | 0.8034 |
| No log | 8.0930 | 348 | 0.7014 | 0.4648 | 0.7014 | 0.8375 |
| No log | 8.1395 | 350 | 0.6181 | 0.5042 | 0.6181 | 0.7862 |
| No log | 8.1860 | 352 | 0.5315 | 0.5768 | 0.5315 | 0.7290 |
| No log | 8.2326 | 354 | 0.5378 | 0.5234 | 0.5378 | 0.7333 |
| No log | 8.2791 | 356 | 0.5326 | 0.5580 | 0.5326 | 0.7298 |
| No log | 8.3256 | 358 | 0.5372 | 0.6083 | 0.5372 | 0.7330 |
| No log | 8.3721 | 360 | 0.5563 | 0.6083 | 0.5563 | 0.7458 |
| No log | 8.4186 | 362 | 0.5489 | 0.6083 | 0.5489 | 0.7409 |
| No log | 8.4651 | 364 | 0.5385 | 0.5965 | 0.5385 | 0.7338 |
| No log | 8.5116 | 366 | 0.5414 | 0.4876 | 0.5414 | 0.7358 |
| No log | 8.5581 | 368 | 0.5258 | 0.4762 | 0.5258 | 0.7251 |
| No log | 8.6047 | 370 | 0.5210 | 0.4991 | 0.5210 | 0.7218 |
| No log | 8.6512 | 372 | 0.5310 | 0.5784 | 0.5310 | 0.7287 |
| No log | 8.6977 | 374 | 0.5675 | 0.5845 | 0.5675 | 0.7533 |
| No log | 8.7442 | 376 | 0.5497 | 0.6088 | 0.5497 | 0.7414 |
| No log | 8.7907 | 378 | 0.5233 | 0.5769 | 0.5233 | 0.7234 |
| No log | 8.8372 | 380 | 0.5636 | 0.4980 | 0.5636 | 0.7508 |
| No log | 8.8837 | 382 | 0.5783 | 0.5217 | 0.5783 | 0.7605 |
| No log | 8.9302 | 384 | 0.5414 | 0.5160 | 0.5414 | 0.7358 |
| No log | 8.9767 | 386 | 0.5160 | 0.5286 | 0.5160 | 0.7183 |
| No log | 9.0233 | 388 | 0.5182 | 0.5852 | 0.5182 | 0.7198 |
| No log | 9.0698 | 390 | 0.5763 | 0.4980 | 0.5763 | 0.7591 |
| No log | 9.1163 | 392 | 0.5587 | 0.5418 | 0.5587 | 0.7474 |
| No log | 9.1628 | 394 | 0.5338 | 0.5926 | 0.5338 | 0.7306 |
| No log | 9.2093 | 396 | 0.5939 | 0.5621 | 0.5939 | 0.7706 |
| No log | 9.2558 | 398 | 0.6101 | 0.4955 | 0.6101 | 0.7811 |
| No log | 9.3023 | 400 | 0.5695 | 0.5368 | 0.5695 | 0.7546 |
| No log | 9.3488 | 402 | 0.5653 | 0.5770 | 0.5653 | 0.7518 |
| No log | 9.3953 | 404 | 0.5978 | 0.4864 | 0.5978 | 0.7732 |
| No log | 9.4419 | 406 | 0.5967 | 0.5098 | 0.5967 | 0.7725 |
| No log | 9.4884 | 408 | 0.5915 | 0.5357 | 0.5915 | 0.7691 |
| No log | 9.5349 | 410 | 0.6021 | 0.5596 | 0.6021 | 0.7760 |
| No log | 9.5814 | 412 | 0.6094 | 0.5390 | 0.6094 | 0.7806 |
| No log | 9.6279 | 414 | 0.5992 | 0.4941 | 0.5992 | 0.7741 |
| No log | 9.6744 | 416 | 0.6239 | 0.5373 | 0.6239 | 0.7899 |
| No log | 9.7209 | 418 | 0.6507 | 0.5042 | 0.6507 | 0.8067 |
| No log | 9.7674 | 420 | 0.6357 | 0.5470 | 0.6357 | 0.7973 |
| No log | 9.8140 | 422 | 0.5666 | 0.5442 | 0.5666 | 0.7527 |
| No log | 9.8605 | 424 | 0.5267 | 0.5753 | 0.5267 | 0.7257 |
| No log | 9.9070 | 426 | 0.5416 | 0.5452 | 0.5416 | 0.7359 |
| No log | 9.9535 | 428 | 0.5407 | 0.5373 | 0.5407 | 0.7353 |
| No log | 10.0 | 430 | 0.5432 | 0.4972 | 0.5432 | 0.7371 |
| No log | 10.0465 | 432 | 0.5509 | 0.5235 | 0.5509 | 0.7422 |
| No log | 10.0930 | 434 | 0.5915 | 0.4836 | 0.5915 | 0.7691 |
| No log | 10.1395 | 436 | 0.5975 | 0.5059 | 0.5975 | 0.7730 |
| No log | 10.1860 | 438 | 0.5578 | 0.5323 | 0.5578 | 0.7469 |
| No log | 10.2326 | 440 | 0.5494 | 0.4972 | 0.5494 | 0.7412 |
| No log | 10.2791 | 442 | 0.5541 | 0.5095 | 0.5541 | 0.7444 |
| No log | 10.3256 | 444 | 0.5909 | 0.4513 | 0.5909 | 0.7687 |
| No log | 10.3721 | 446 | 0.6025 | 0.4369 | 0.6025 | 0.7762 |
| No log | 10.4186 | 448 | 0.5725 | 0.5239 | 0.5725 | 0.7566 |
| No log | 10.4651 | 450 | 0.5514 | 0.5522 | 0.5514 | 0.7426 |
| No log | 10.5116 | 452 | 0.5513 | 0.5522 | 0.5513 | 0.7425 |
| No log | 10.5581 | 454 | 0.5566 | 0.5357 | 0.5566 | 0.7460 |
| No log | 10.6047 | 456 | 0.5965 | 0.5059 | 0.5965 | 0.7723 |
| No log | 10.6512 | 458 | 0.6391 | 0.4606 | 0.6391 | 0.7994 |
| No log | 10.6977 | 460 | 0.6118 | 0.5059 | 0.6118 | 0.7822 |
| No log | 10.7442 | 462 | 0.5671 | 0.5626 | 0.5671 | 0.7531 |
| No log | 10.7907 | 464 | 0.5605 | 0.5201 | 0.5605 | 0.7487 |
| No log | 10.8372 | 466 | 0.5549 | 0.5373 | 0.5549 | 0.7449 |
| No log | 10.8837 | 468 | 0.5477 | 0.4866 | 0.5477 | 0.7400 |
| No log | 10.9302 | 470 | 0.5882 | 0.4239 | 0.5882 | 0.7669 |
| No log | 10.9767 | 472 | 0.6669 | 0.4587 | 0.6669 | 0.8166 |
| No log | 11.0233 | 474 | 0.6715 | 0.4819 | 0.6715 | 0.8195 |
| No log | 11.0698 | 476 | 0.6319 | 0.5042 | 0.6319 | 0.7949 |
| No log | 11.1163 | 478 | 0.5830 | 0.4737 | 0.5830 | 0.7636 |
| No log | 11.1628 | 480 | 0.5574 | 0.5336 | 0.5574 | 0.7466 |
| No log | 11.2093 | 482 | 0.6026 | 0.5190 | 0.6026 | 0.7763 |
| No log | 11.2558 | 484 | 0.6056 | 0.4981 | 0.6056 | 0.7782 |
| No log | 11.3023 | 486 | 0.5971 | 0.4881 | 0.5971 | 0.7727 |
| No log | 11.3488 | 488 | 0.6458 | 0.4568 | 0.6458 | 0.8036 |
| No log | 11.3953 | 490 | 0.6907 | 0.5227 | 0.6907 | 0.8311 |
| No log | 11.4419 | 492 | 0.6787 | 0.5227 | 0.6787 | 0.8238 |
| No log | 11.4884 | 494 | 0.6398 | 0.4606 | 0.6398 | 0.7999 |
| No log | 11.5349 | 496 | 0.5749 | 0.4542 | 0.5749 | 0.7582 |
| No log | 11.5814 | 498 | 0.5322 | 0.5177 | 0.5322 | 0.7295 |
| 0.3477 | 11.6279 | 500 | 0.5443 | 0.5687 | 0.5443 | 0.7378 |
| 0.3477 | 11.6744 | 502 | 0.5416 | 0.5479 | 0.5416 | 0.7359 |
| 0.3477 | 11.7209 | 504 | 0.5316 | 0.5734 | 0.5316 | 0.7291 |
| 0.3477 | 11.7674 | 506 | 0.5578 | 0.4534 | 0.5578 | 0.7468 |
| 0.3477 | 11.8140 | 508 | 0.6063 | 0.4531 | 0.6063 | 0.7787 |
| 0.3477 | 11.8605 | 510 | 0.6020 | 0.4759 | 0.6020 | 0.7759 |
| 0.3477 | 11.9070 | 512 | 0.5536 | 0.5076 | 0.5536 | 0.7440 |
| 0.3477 | 11.9535 | 514 | 0.5206 | 0.5492 | 0.5206 | 0.7215 |
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_k17_task7_organization
Base model
aubmindlab/bert-base-arabertv02