Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_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: 0.5810
- Qwk: 0.7399
- Mse: 0.5810
- Rmse: 0.7623
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 | 0.0328 | 2 | 5.4124 | -0.0207 | 5.4124 | 2.3265 |
| No log | 0.0656 | 4 | 3.2313 | 0.0801 | 3.2313 | 1.7976 |
| No log | 0.0984 | 6 | 2.0536 | -0.0045 | 2.0536 | 1.4330 |
| No log | 0.1311 | 8 | 2.6242 | -0.1555 | 2.6242 | 1.6199 |
| No log | 0.1639 | 10 | 2.2552 | -0.1315 | 2.2552 | 1.5017 |
| No log | 0.1967 | 12 | 1.4546 | 0.0272 | 1.4546 | 1.2061 |
| No log | 0.2295 | 14 | 1.3484 | 0.0917 | 1.3484 | 1.1612 |
| No log | 0.2623 | 16 | 1.3480 | 0.0849 | 1.3480 | 1.1610 |
| No log | 0.2951 | 18 | 1.3873 | 0.0815 | 1.3873 | 1.1778 |
| No log | 0.3279 | 20 | 1.4225 | 0.1057 | 1.4225 | 1.1927 |
| No log | 0.3607 | 22 | 1.5735 | -0.1184 | 1.5735 | 1.2544 |
| No log | 0.3934 | 24 | 1.5271 | -0.1184 | 1.5271 | 1.2358 |
| No log | 0.4262 | 26 | 1.4822 | -0.0294 | 1.4822 | 1.2175 |
| No log | 0.4590 | 28 | 1.3901 | 0.0651 | 1.3901 | 1.1790 |
| No log | 0.4918 | 30 | 1.4198 | 0.0493 | 1.4198 | 1.1916 |
| No log | 0.5246 | 32 | 1.3779 | 0.0684 | 1.3779 | 1.1738 |
| No log | 0.5574 | 34 | 1.6410 | 0.0712 | 1.6410 | 1.2810 |
| No log | 0.5902 | 36 | 2.1906 | 0.1598 | 2.1906 | 1.4801 |
| No log | 0.6230 | 38 | 2.2179 | 0.1791 | 2.2179 | 1.4893 |
| No log | 0.6557 | 40 | 1.8201 | 0.1682 | 1.8201 | 1.3491 |
| No log | 0.6885 | 42 | 1.2725 | 0.2132 | 1.2725 | 1.1281 |
| No log | 0.7213 | 44 | 1.0607 | 0.4013 | 1.0607 | 1.0299 |
| No log | 0.7541 | 46 | 1.0338 | 0.4206 | 1.0338 | 1.0167 |
| No log | 0.7869 | 48 | 1.1105 | 0.4153 | 1.1105 | 1.0538 |
| No log | 0.8197 | 50 | 1.1334 | 0.4079 | 1.1334 | 1.0646 |
| No log | 0.8525 | 52 | 0.9385 | 0.5472 | 0.9385 | 0.9688 |
| No log | 0.8852 | 54 | 0.8455 | 0.5395 | 0.8455 | 0.9195 |
| No log | 0.9180 | 56 | 0.7681 | 0.5798 | 0.7681 | 0.8764 |
| No log | 0.9508 | 58 | 0.7509 | 0.6360 | 0.7509 | 0.8665 |
| No log | 0.9836 | 60 | 1.0321 | 0.4681 | 1.0321 | 1.0159 |
| No log | 1.0164 | 62 | 1.0771 | 0.4579 | 1.0771 | 1.0378 |
| No log | 1.0492 | 64 | 0.7115 | 0.6511 | 0.7115 | 0.8435 |
| No log | 1.0820 | 66 | 0.7524 | 0.6395 | 0.7524 | 0.8674 |
| No log | 1.1148 | 68 | 0.9825 | 0.4967 | 0.9825 | 0.9912 |
| No log | 1.1475 | 70 | 0.7253 | 0.6404 | 0.7253 | 0.8517 |
| No log | 1.1803 | 72 | 0.6255 | 0.6912 | 0.6255 | 0.7909 |
| No log | 1.2131 | 74 | 1.0399 | 0.5681 | 1.0399 | 1.0198 |
| No log | 1.2459 | 76 | 1.4067 | 0.4425 | 1.4067 | 1.1860 |
| No log | 1.2787 | 78 | 1.3140 | 0.4447 | 1.3140 | 1.1463 |
| No log | 1.3115 | 80 | 0.9467 | 0.4987 | 0.9467 | 0.9730 |
| No log | 1.3443 | 82 | 0.6284 | 0.6763 | 0.6284 | 0.7927 |
| No log | 1.3770 | 84 | 0.6878 | 0.6606 | 0.6878 | 0.8293 |
| No log | 1.4098 | 86 | 0.7670 | 0.6368 | 0.7670 | 0.8758 |
| No log | 1.4426 | 88 | 0.6454 | 0.7041 | 0.6454 | 0.8034 |
| No log | 1.4754 | 90 | 0.5964 | 0.7047 | 0.5964 | 0.7722 |
| No log | 1.5082 | 92 | 0.8652 | 0.6190 | 0.8652 | 0.9302 |
| No log | 1.5410 | 94 | 0.9266 | 0.5644 | 0.9266 | 0.9626 |
| No log | 1.5738 | 96 | 0.7493 | 0.6410 | 0.7493 | 0.8656 |
| No log | 1.6066 | 98 | 0.6678 | 0.6568 | 0.6678 | 0.8172 |
| No log | 1.6393 | 100 | 0.6144 | 0.6459 | 0.6144 | 0.7838 |
| No log | 1.6721 | 102 | 0.6367 | 0.6529 | 0.6367 | 0.7979 |
| No log | 1.7049 | 104 | 0.6793 | 0.6419 | 0.6793 | 0.8242 |
| No log | 1.7377 | 106 | 0.6769 | 0.6437 | 0.6769 | 0.8227 |
| No log | 1.7705 | 108 | 0.6155 | 0.6914 | 0.6155 | 0.7846 |
| No log | 1.8033 | 110 | 0.5825 | 0.7291 | 0.5825 | 0.7632 |
| No log | 1.8361 | 112 | 0.5869 | 0.6856 | 0.5869 | 0.7661 |
| No log | 1.8689 | 114 | 0.6356 | 0.6890 | 0.6356 | 0.7973 |
| No log | 1.9016 | 116 | 0.6384 | 0.7007 | 0.6384 | 0.7990 |
| No log | 1.9344 | 118 | 0.6608 | 0.7 | 0.6608 | 0.8129 |
| No log | 1.9672 | 120 | 0.6638 | 0.6975 | 0.6638 | 0.8148 |
| No log | 2.0 | 122 | 0.7223 | 0.6564 | 0.7223 | 0.8499 |
| No log | 2.0328 | 124 | 0.8115 | 0.6047 | 0.8115 | 0.9009 |
| No log | 2.0656 | 126 | 0.7698 | 0.6380 | 0.7698 | 0.8774 |
| No log | 2.0984 | 128 | 0.7951 | 0.6111 | 0.7951 | 0.8917 |
| No log | 2.1311 | 130 | 0.9564 | 0.5050 | 0.9564 | 0.9779 |
| No log | 2.1639 | 132 | 1.1341 | 0.4742 | 1.1341 | 1.0649 |
| No log | 2.1967 | 134 | 1.1265 | 0.4394 | 1.1265 | 1.0614 |
| No log | 2.2295 | 136 | 0.8912 | 0.5463 | 0.8912 | 0.9440 |
| No log | 2.2623 | 138 | 0.7247 | 0.5897 | 0.7247 | 0.8513 |
| No log | 2.2951 | 140 | 0.7824 | 0.5280 | 0.7824 | 0.8845 |
| No log | 2.3279 | 142 | 0.7913 | 0.5402 | 0.7913 | 0.8896 |
| No log | 2.3607 | 144 | 0.6721 | 0.5869 | 0.6721 | 0.8198 |
| No log | 2.3934 | 146 | 0.7240 | 0.6237 | 0.7240 | 0.8509 |
| No log | 2.4262 | 148 | 1.0915 | 0.4408 | 1.0915 | 1.0448 |
| No log | 2.4590 | 150 | 1.2612 | 0.3991 | 1.2612 | 1.1230 |
| No log | 2.4918 | 152 | 1.0643 | 0.4776 | 1.0643 | 1.0316 |
| No log | 2.5246 | 154 | 0.7555 | 0.5793 | 0.7555 | 0.8692 |
| No log | 2.5574 | 156 | 0.6567 | 0.6612 | 0.6567 | 0.8104 |
| No log | 2.5902 | 158 | 0.6328 | 0.6768 | 0.6328 | 0.7955 |
| No log | 2.6230 | 160 | 0.5941 | 0.6868 | 0.5941 | 0.7708 |
| No log | 2.6557 | 162 | 0.6013 | 0.6973 | 0.6013 | 0.7754 |
| No log | 2.6885 | 164 | 0.5883 | 0.7034 | 0.5883 | 0.7670 |
| No log | 2.7213 | 166 | 0.5811 | 0.6989 | 0.5811 | 0.7623 |
| No log | 2.7541 | 168 | 0.5639 | 0.6952 | 0.5639 | 0.7509 |
| No log | 2.7869 | 170 | 0.5641 | 0.6993 | 0.5641 | 0.7511 |
| No log | 2.8197 | 172 | 0.5429 | 0.7044 | 0.5429 | 0.7368 |
| No log | 2.8525 | 174 | 0.5276 | 0.7311 | 0.5276 | 0.7263 |
| No log | 2.8852 | 176 | 0.5164 | 0.7280 | 0.5164 | 0.7186 |
| No log | 2.9180 | 178 | 0.5328 | 0.7224 | 0.5328 | 0.7299 |
| No log | 2.9508 | 180 | 0.6007 | 0.7133 | 0.6007 | 0.7751 |
| No log | 2.9836 | 182 | 0.5874 | 0.7156 | 0.5874 | 0.7664 |
| No log | 3.0164 | 184 | 0.5180 | 0.7422 | 0.5180 | 0.7197 |
| No log | 3.0492 | 186 | 0.5088 | 0.7129 | 0.5088 | 0.7133 |
| No log | 3.0820 | 188 | 0.5576 | 0.7357 | 0.5576 | 0.7467 |
| No log | 3.1148 | 190 | 0.5332 | 0.7486 | 0.5332 | 0.7302 |
| No log | 3.1475 | 192 | 0.5084 | 0.7484 | 0.5084 | 0.7130 |
| No log | 3.1803 | 194 | 0.5933 | 0.7164 | 0.5933 | 0.7703 |
| No log | 3.2131 | 196 | 0.6290 | 0.7098 | 0.6290 | 0.7931 |
| No log | 3.2459 | 198 | 0.6128 | 0.7048 | 0.6128 | 0.7828 |
| No log | 3.2787 | 200 | 0.6000 | 0.6834 | 0.6000 | 0.7746 |
| No log | 3.3115 | 202 | 0.5577 | 0.7241 | 0.5577 | 0.7468 |
| No log | 3.3443 | 204 | 0.5278 | 0.7332 | 0.5278 | 0.7265 |
| No log | 3.3770 | 206 | 0.5192 | 0.7386 | 0.5192 | 0.7205 |
| No log | 3.4098 | 208 | 0.5325 | 0.7244 | 0.5325 | 0.7297 |
| No log | 3.4426 | 210 | 0.6056 | 0.6969 | 0.6056 | 0.7782 |
| No log | 3.4754 | 212 | 0.7453 | 0.6723 | 0.7453 | 0.8633 |
| No log | 3.5082 | 214 | 0.7685 | 0.6631 | 0.7685 | 0.8767 |
| No log | 3.5410 | 216 | 0.7055 | 0.6789 | 0.7055 | 0.8399 |
| No log | 3.5738 | 218 | 0.5780 | 0.7334 | 0.5780 | 0.7602 |
| No log | 3.6066 | 220 | 0.5275 | 0.712 | 0.5275 | 0.7263 |
| No log | 3.6393 | 222 | 0.5512 | 0.7070 | 0.5512 | 0.7424 |
| No log | 3.6721 | 224 | 0.6135 | 0.6662 | 0.6135 | 0.7833 |
| No log | 3.7049 | 226 | 0.5917 | 0.6713 | 0.5917 | 0.7692 |
| No log | 3.7377 | 228 | 0.5534 | 0.7026 | 0.5534 | 0.7439 |
| No log | 3.7705 | 230 | 0.5947 | 0.7317 | 0.5947 | 0.7712 |
| No log | 3.8033 | 232 | 0.6122 | 0.7285 | 0.6122 | 0.7824 |
| No log | 3.8361 | 234 | 0.5754 | 0.7295 | 0.5754 | 0.7586 |
| No log | 3.8689 | 236 | 0.5543 | 0.7405 | 0.5543 | 0.7445 |
| No log | 3.9016 | 238 | 0.5724 | 0.7006 | 0.5724 | 0.7566 |
| No log | 3.9344 | 240 | 0.7276 | 0.6235 | 0.7276 | 0.8530 |
| No log | 3.9672 | 242 | 0.8465 | 0.6155 | 0.8465 | 0.9201 |
| No log | 4.0 | 244 | 0.7736 | 0.6363 | 0.7736 | 0.8796 |
| No log | 4.0328 | 246 | 0.6440 | 0.6758 | 0.6440 | 0.8025 |
| No log | 4.0656 | 248 | 0.5762 | 0.7075 | 0.5762 | 0.7591 |
| No log | 4.0984 | 250 | 0.5520 | 0.7081 | 0.5520 | 0.7430 |
| No log | 4.1311 | 252 | 0.5451 | 0.7150 | 0.5451 | 0.7383 |
| No log | 4.1639 | 254 | 0.5413 | 0.7031 | 0.5413 | 0.7358 |
| No log | 4.1967 | 256 | 0.5470 | 0.7096 | 0.5470 | 0.7396 |
| No log | 4.2295 | 258 | 0.5441 | 0.7096 | 0.5441 | 0.7376 |
| No log | 4.2623 | 260 | 0.5290 | 0.7218 | 0.5290 | 0.7273 |
| No log | 4.2951 | 262 | 0.5443 | 0.7500 | 0.5443 | 0.7377 |
| No log | 4.3279 | 264 | 0.5557 | 0.7513 | 0.5557 | 0.7454 |
| No log | 4.3607 | 266 | 0.5908 | 0.7407 | 0.5908 | 0.7687 |
| No log | 4.3934 | 268 | 0.5694 | 0.7463 | 0.5694 | 0.7546 |
| No log | 4.4262 | 270 | 0.5665 | 0.7463 | 0.5665 | 0.7527 |
| No log | 4.4590 | 272 | 0.5524 | 0.7534 | 0.5524 | 0.7432 |
| No log | 4.4918 | 274 | 0.5368 | 0.7463 | 0.5368 | 0.7327 |
| No log | 4.5246 | 276 | 0.5722 | 0.7468 | 0.5722 | 0.7564 |
| No log | 4.5574 | 278 | 0.5977 | 0.7268 | 0.5977 | 0.7731 |
| No log | 4.5902 | 280 | 0.6078 | 0.7268 | 0.6078 | 0.7796 |
| No log | 4.6230 | 282 | 0.6044 | 0.7397 | 0.6044 | 0.7774 |
| No log | 4.6557 | 284 | 0.5621 | 0.7279 | 0.5621 | 0.7497 |
| No log | 4.6885 | 286 | 0.5352 | 0.7626 | 0.5352 | 0.7316 |
| No log | 4.7213 | 288 | 0.5318 | 0.7523 | 0.5318 | 0.7292 |
| No log | 4.7541 | 290 | 0.5226 | 0.7603 | 0.5226 | 0.7229 |
| No log | 4.7869 | 292 | 0.5273 | 0.7683 | 0.5273 | 0.7262 |
| No log | 4.8197 | 294 | 0.5248 | 0.7575 | 0.5248 | 0.7245 |
| No log | 4.8525 | 296 | 0.5264 | 0.7703 | 0.5264 | 0.7255 |
| No log | 4.8852 | 298 | 0.5389 | 0.7625 | 0.5389 | 0.7341 |
| No log | 4.9180 | 300 | 0.5357 | 0.7527 | 0.5357 | 0.7319 |
| No log | 4.9508 | 302 | 0.5397 | 0.7585 | 0.5397 | 0.7346 |
| No log | 4.9836 | 304 | 0.5414 | 0.7476 | 0.5414 | 0.7358 |
| No log | 5.0164 | 306 | 0.5373 | 0.7648 | 0.5373 | 0.7330 |
| No log | 5.0492 | 308 | 0.5375 | 0.7623 | 0.5375 | 0.7332 |
| No log | 5.0820 | 310 | 0.5347 | 0.7693 | 0.5347 | 0.7312 |
| No log | 5.1148 | 312 | 0.5331 | 0.7673 | 0.5331 | 0.7301 |
| No log | 5.1475 | 314 | 0.5362 | 0.7514 | 0.5362 | 0.7323 |
| No log | 5.1803 | 316 | 0.5432 | 0.7337 | 0.5432 | 0.7370 |
| No log | 5.2131 | 318 | 0.5402 | 0.7373 | 0.5402 | 0.7350 |
| No log | 5.2459 | 320 | 0.5323 | 0.7425 | 0.5323 | 0.7296 |
| No log | 5.2787 | 322 | 0.5447 | 0.7230 | 0.5447 | 0.7380 |
| No log | 5.3115 | 324 | 0.5476 | 0.7237 | 0.5476 | 0.7400 |
| No log | 5.3443 | 326 | 0.5335 | 0.7443 | 0.5335 | 0.7304 |
| No log | 5.3770 | 328 | 0.5506 | 0.7433 | 0.5506 | 0.7420 |
| No log | 5.4098 | 330 | 0.6011 | 0.7663 | 0.6011 | 0.7753 |
| No log | 5.4426 | 332 | 0.6437 | 0.7250 | 0.6437 | 0.8023 |
| No log | 5.4754 | 334 | 0.6612 | 0.7142 | 0.6612 | 0.8132 |
| No log | 5.5082 | 336 | 0.6119 | 0.7238 | 0.6119 | 0.7823 |
| No log | 5.5410 | 338 | 0.5575 | 0.7327 | 0.5575 | 0.7467 |
| No log | 5.5738 | 340 | 0.5569 | 0.7241 | 0.5569 | 0.7462 |
| No log | 5.6066 | 342 | 0.5810 | 0.6965 | 0.5810 | 0.7622 |
| No log | 5.6393 | 344 | 0.5865 | 0.6893 | 0.5865 | 0.7659 |
| No log | 5.6721 | 346 | 0.5639 | 0.7036 | 0.5639 | 0.7509 |
| No log | 5.7049 | 348 | 0.5420 | 0.7190 | 0.5420 | 0.7362 |
| No log | 5.7377 | 350 | 0.5735 | 0.7288 | 0.5735 | 0.7573 |
| No log | 5.7705 | 352 | 0.5992 | 0.7046 | 0.5992 | 0.7741 |
| No log | 5.8033 | 354 | 0.5826 | 0.7306 | 0.5826 | 0.7633 |
| No log | 5.8361 | 356 | 0.5709 | 0.7312 | 0.5709 | 0.7556 |
| No log | 5.8689 | 358 | 0.5571 | 0.7431 | 0.5571 | 0.7464 |
| No log | 5.9016 | 360 | 0.5414 | 0.7176 | 0.5414 | 0.7358 |
| No log | 5.9344 | 362 | 0.5500 | 0.7207 | 0.5500 | 0.7416 |
| No log | 5.9672 | 364 | 0.5522 | 0.6964 | 0.5522 | 0.7431 |
| No log | 6.0 | 366 | 0.5428 | 0.7157 | 0.5428 | 0.7368 |
| No log | 6.0328 | 368 | 0.5446 | 0.7332 | 0.5446 | 0.7380 |
| No log | 6.0656 | 370 | 0.5744 | 0.7378 | 0.5744 | 0.7579 |
| No log | 6.0984 | 372 | 0.6120 | 0.7186 | 0.6120 | 0.7823 |
| No log | 6.1311 | 374 | 0.6127 | 0.7186 | 0.6127 | 0.7827 |
| No log | 6.1639 | 376 | 0.5867 | 0.7397 | 0.5867 | 0.7660 |
| No log | 6.1967 | 378 | 0.5738 | 0.7450 | 0.5738 | 0.7575 |
| No log | 6.2295 | 380 | 0.5681 | 0.7408 | 0.5681 | 0.7537 |
| No log | 6.2623 | 382 | 0.5805 | 0.7306 | 0.5805 | 0.7619 |
| No log | 6.2951 | 384 | 0.5775 | 0.7306 | 0.5775 | 0.7599 |
| No log | 6.3279 | 386 | 0.6027 | 0.7447 | 0.6027 | 0.7764 |
| No log | 6.3607 | 388 | 0.6552 | 0.7073 | 0.6552 | 0.8095 |
| No log | 6.3934 | 390 | 0.7179 | 0.6682 | 0.7179 | 0.8473 |
| No log | 6.4262 | 392 | 0.7471 | 0.6582 | 0.7471 | 0.8643 |
| No log | 6.4590 | 394 | 0.7611 | 0.6460 | 0.7611 | 0.8724 |
| No log | 6.4918 | 396 | 0.7558 | 0.6460 | 0.7558 | 0.8694 |
| No log | 6.5246 | 398 | 0.7052 | 0.6674 | 0.7052 | 0.8398 |
| No log | 6.5574 | 400 | 0.6349 | 0.7090 | 0.6349 | 0.7968 |
| No log | 6.5902 | 402 | 0.5819 | 0.7471 | 0.5819 | 0.7628 |
| No log | 6.6230 | 404 | 0.5560 | 0.7164 | 0.5560 | 0.7457 |
| No log | 6.6557 | 406 | 0.5461 | 0.7240 | 0.5461 | 0.7390 |
| No log | 6.6885 | 408 | 0.5410 | 0.7314 | 0.5410 | 0.7356 |
| No log | 6.7213 | 410 | 0.5394 | 0.7509 | 0.5394 | 0.7344 |
| No log | 6.7541 | 412 | 0.5421 | 0.7509 | 0.5421 | 0.7362 |
| No log | 6.7869 | 414 | 0.5519 | 0.7385 | 0.5519 | 0.7429 |
| No log | 6.8197 | 416 | 0.5507 | 0.7360 | 0.5507 | 0.7421 |
| No log | 6.8525 | 418 | 0.5358 | 0.7509 | 0.5358 | 0.7320 |
| No log | 6.8852 | 420 | 0.5225 | 0.7537 | 0.5225 | 0.7228 |
| No log | 6.9180 | 422 | 0.5219 | 0.7584 | 0.5219 | 0.7224 |
| No log | 6.9508 | 424 | 0.5232 | 0.7521 | 0.5232 | 0.7233 |
| No log | 6.9836 | 426 | 0.5291 | 0.7441 | 0.5291 | 0.7274 |
| No log | 7.0164 | 428 | 0.5335 | 0.7211 | 0.5335 | 0.7304 |
| No log | 7.0492 | 430 | 0.5358 | 0.7477 | 0.5358 | 0.7320 |
| No log | 7.0820 | 432 | 0.5363 | 0.7477 | 0.5363 | 0.7323 |
| No log | 7.1148 | 434 | 0.5370 | 0.7519 | 0.5370 | 0.7328 |
| No log | 7.1475 | 436 | 0.5400 | 0.7314 | 0.5400 | 0.7348 |
| No log | 7.1803 | 438 | 0.5451 | 0.7109 | 0.5451 | 0.7383 |
| No log | 7.2131 | 440 | 0.5494 | 0.7039 | 0.5494 | 0.7412 |
| No log | 7.2459 | 442 | 0.5474 | 0.7136 | 0.5474 | 0.7398 |
| No log | 7.2787 | 444 | 0.5441 | 0.7471 | 0.5441 | 0.7377 |
| No log | 7.3115 | 446 | 0.5477 | 0.7593 | 0.5477 | 0.7401 |
| No log | 7.3443 | 448 | 0.5632 | 0.7520 | 0.5632 | 0.7505 |
| No log | 7.3770 | 450 | 0.5674 | 0.7495 | 0.5674 | 0.7533 |
| No log | 7.4098 | 452 | 0.5601 | 0.7541 | 0.5601 | 0.7484 |
| No log | 7.4426 | 454 | 0.5503 | 0.7567 | 0.5503 | 0.7418 |
| No log | 7.4754 | 456 | 0.5393 | 0.7728 | 0.5393 | 0.7344 |
| No log | 7.5082 | 458 | 0.5396 | 0.7461 | 0.5396 | 0.7346 |
| No log | 7.5410 | 460 | 0.5400 | 0.7561 | 0.5400 | 0.7349 |
| No log | 7.5738 | 462 | 0.5385 | 0.7501 | 0.5385 | 0.7339 |
| No log | 7.6066 | 464 | 0.5374 | 0.7508 | 0.5374 | 0.7331 |
| No log | 7.6393 | 466 | 0.5364 | 0.7478 | 0.5364 | 0.7324 |
| No log | 7.6721 | 468 | 0.5347 | 0.7646 | 0.5347 | 0.7312 |
| No log | 7.7049 | 470 | 0.5347 | 0.7646 | 0.5347 | 0.7312 |
| No log | 7.7377 | 472 | 0.5341 | 0.7646 | 0.5341 | 0.7308 |
| No log | 7.7705 | 474 | 0.5367 | 0.7620 | 0.5367 | 0.7326 |
| No log | 7.8033 | 476 | 0.5498 | 0.7603 | 0.5498 | 0.7415 |
| No log | 7.8361 | 478 | 0.5751 | 0.7553 | 0.5751 | 0.7583 |
| No log | 7.8689 | 480 | 0.5837 | 0.7553 | 0.5837 | 0.7640 |
| No log | 7.9016 | 482 | 0.5698 | 0.7553 | 0.5698 | 0.7549 |
| No log | 7.9344 | 484 | 0.5476 | 0.7500 | 0.5476 | 0.7400 |
| No log | 7.9672 | 486 | 0.5373 | 0.7687 | 0.5373 | 0.7330 |
| No log | 8.0 | 488 | 0.5333 | 0.7543 | 0.5333 | 0.7303 |
| No log | 8.0328 | 490 | 0.5321 | 0.7543 | 0.5321 | 0.7294 |
| No log | 8.0656 | 492 | 0.5320 | 0.7543 | 0.5320 | 0.7294 |
| No log | 8.0984 | 494 | 0.5339 | 0.7508 | 0.5339 | 0.7307 |
| No log | 8.1311 | 496 | 0.5345 | 0.7570 | 0.5345 | 0.7311 |
| No log | 8.1639 | 498 | 0.5347 | 0.7524 | 0.5347 | 0.7312 |
| 0.4109 | 8.1967 | 500 | 0.5380 | 0.7543 | 0.5380 | 0.7335 |
| 0.4109 | 8.2295 | 502 | 0.5429 | 0.7646 | 0.5429 | 0.7368 |
| 0.4109 | 8.2623 | 504 | 0.5468 | 0.7484 | 0.5468 | 0.7395 |
| 0.4109 | 8.2951 | 506 | 0.5541 | 0.7500 | 0.5541 | 0.7444 |
| 0.4109 | 8.3279 | 508 | 0.5561 | 0.7500 | 0.5561 | 0.7457 |
| 0.4109 | 8.3607 | 510 | 0.5529 | 0.7500 | 0.5529 | 0.7436 |
| 0.4109 | 8.3934 | 512 | 0.5531 | 0.7528 | 0.5531 | 0.7437 |
| 0.4109 | 8.4262 | 514 | 0.5533 | 0.7595 | 0.5533 | 0.7438 |
| 0.4109 | 8.4590 | 516 | 0.5624 | 0.7630 | 0.5624 | 0.7499 |
| 0.4109 | 8.4918 | 518 | 0.5643 | 0.7630 | 0.5643 | 0.7512 |
| 0.4109 | 8.5246 | 520 | 0.5621 | 0.7695 | 0.5621 | 0.7498 |
| 0.4109 | 8.5574 | 522 | 0.5603 | 0.7695 | 0.5603 | 0.7486 |
| 0.4109 | 8.5902 | 524 | 0.5578 | 0.7695 | 0.5578 | 0.7469 |
| 0.4109 | 8.6230 | 526 | 0.5641 | 0.7563 | 0.5641 | 0.7511 |
| 0.4109 | 8.6557 | 528 | 0.5707 | 0.7538 | 0.5707 | 0.7555 |
| 0.4109 | 8.6885 | 530 | 0.5722 | 0.7538 | 0.5722 | 0.7564 |
| 0.4109 | 8.7213 | 532 | 0.5685 | 0.7538 | 0.5685 | 0.7540 |
| 0.4109 | 8.7541 | 534 | 0.5625 | 0.7538 | 0.5625 | 0.7500 |
| 0.4109 | 8.7869 | 536 | 0.5538 | 0.7522 | 0.5538 | 0.7442 |
| 0.4109 | 8.8197 | 538 | 0.5507 | 0.7522 | 0.5507 | 0.7421 |
| 0.4109 | 8.8525 | 540 | 0.5470 | 0.7547 | 0.5470 | 0.7396 |
| 0.4109 | 8.8852 | 542 | 0.5470 | 0.7547 | 0.5470 | 0.7396 |
| 0.4109 | 8.9180 | 544 | 0.5464 | 0.7547 | 0.5464 | 0.7392 |
| 0.4109 | 8.9508 | 546 | 0.5498 | 0.7547 | 0.5498 | 0.7415 |
| 0.4109 | 8.9836 | 548 | 0.5555 | 0.7538 | 0.5555 | 0.7453 |
| 0.4109 | 9.0164 | 550 | 0.5596 | 0.7538 | 0.5596 | 0.7480 |
| 0.4109 | 9.0492 | 552 | 0.5631 | 0.7538 | 0.5631 | 0.7504 |
| 0.4109 | 9.0820 | 554 | 0.5715 | 0.7399 | 0.5715 | 0.7559 |
| 0.4109 | 9.1148 | 556 | 0.5829 | 0.7461 | 0.5829 | 0.7635 |
| 0.4109 | 9.1475 | 558 | 0.5894 | 0.7461 | 0.5894 | 0.7677 |
| 0.4109 | 9.1803 | 560 | 0.5946 | 0.7523 | 0.5946 | 0.7711 |
| 0.4109 | 9.2131 | 562 | 0.5911 | 0.7461 | 0.5911 | 0.7689 |
| 0.4109 | 9.2459 | 564 | 0.5843 | 0.7399 | 0.5843 | 0.7644 |
| 0.4109 | 9.2787 | 566 | 0.5744 | 0.7399 | 0.5744 | 0.7579 |
| 0.4109 | 9.3115 | 568 | 0.5664 | 0.7383 | 0.5664 | 0.7526 |
| 0.4109 | 9.3443 | 570 | 0.5624 | 0.7429 | 0.5624 | 0.7500 |
| 0.4109 | 9.3770 | 572 | 0.5608 | 0.7429 | 0.5608 | 0.7489 |
| 0.4109 | 9.4098 | 574 | 0.5601 | 0.7429 | 0.5601 | 0.7484 |
| 0.4109 | 9.4426 | 576 | 0.5617 | 0.7429 | 0.5617 | 0.7495 |
| 0.4109 | 9.4754 | 578 | 0.5665 | 0.7359 | 0.5665 | 0.7527 |
| 0.4109 | 9.5082 | 580 | 0.5734 | 0.7399 | 0.5734 | 0.7573 |
| 0.4109 | 9.5410 | 582 | 0.5779 | 0.7399 | 0.5779 | 0.7602 |
| 0.4109 | 9.5738 | 584 | 0.5826 | 0.7399 | 0.5826 | 0.7633 |
| 0.4109 | 9.6066 | 586 | 0.5852 | 0.7399 | 0.5852 | 0.7650 |
| 0.4109 | 9.6393 | 588 | 0.5864 | 0.7399 | 0.5864 | 0.7658 |
| 0.4109 | 9.6721 | 590 | 0.5892 | 0.7502 | 0.5892 | 0.7676 |
| 0.4109 | 9.7049 | 592 | 0.5894 | 0.7502 | 0.5894 | 0.7677 |
| 0.4109 | 9.7377 | 594 | 0.5899 | 0.7502 | 0.5899 | 0.7680 |
| 0.4109 | 9.7705 | 596 | 0.5892 | 0.7502 | 0.5892 | 0.7676 |
| 0.4109 | 9.8033 | 598 | 0.5875 | 0.7439 | 0.5875 | 0.7665 |
| 0.4109 | 9.8361 | 600 | 0.5861 | 0.7439 | 0.5861 | 0.7655 |
| 0.4109 | 9.8689 | 602 | 0.5844 | 0.7439 | 0.5844 | 0.7645 |
| 0.4109 | 9.9016 | 604 | 0.5828 | 0.7399 | 0.5828 | 0.7634 |
| 0.4109 | 9.9344 | 606 | 0.5820 | 0.7399 | 0.5820 | 0.7629 |
| 0.4109 | 9.9672 | 608 | 0.5814 | 0.7399 | 0.5814 | 0.7625 |
| 0.4109 | 10.0 | 610 | 0.5810 | 0.7399 | 0.5810 | 0.7623 |
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/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02