Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task2_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: 0.6200
- Qwk: 0.3132
- Mse: 0.6200
- Rmse: 0.7874
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 | 0.0526 | 2 | 4.2404 | -0.0241 | 4.2404 | 2.0592 |
| No log | 0.1053 | 4 | 2.3544 | 0.0452 | 2.3544 | 1.5344 |
| No log | 0.1579 | 6 | 2.0677 | -0.0925 | 2.0677 | 1.4380 |
| No log | 0.2105 | 8 | 2.9961 | -0.0792 | 2.9961 | 1.7309 |
| No log | 0.2632 | 10 | 2.1958 | -0.1003 | 2.1958 | 1.4818 |
| No log | 0.3158 | 12 | 1.1458 | -0.1064 | 1.1458 | 1.0704 |
| No log | 0.3684 | 14 | 0.8788 | 0.1481 | 0.8788 | 0.9374 |
| No log | 0.4211 | 16 | 0.9001 | 0.0294 | 0.9001 | 0.9487 |
| No log | 0.4737 | 18 | 0.9098 | 0.0294 | 0.9098 | 0.9538 |
| No log | 0.5263 | 20 | 0.8657 | 0.0654 | 0.8657 | 0.9304 |
| No log | 0.5789 | 22 | 0.8578 | 0.1144 | 0.8578 | 0.9262 |
| No log | 0.6316 | 24 | 0.8614 | 0.1867 | 0.8614 | 0.9281 |
| No log | 0.6842 | 26 | 0.8827 | 0.1437 | 0.8827 | 0.9395 |
| No log | 0.7368 | 28 | 0.8873 | 0.1660 | 0.8873 | 0.9420 |
| No log | 0.7895 | 30 | 0.8638 | 0.1725 | 0.8638 | 0.9294 |
| No log | 0.8421 | 32 | 0.8398 | 0.1775 | 0.8398 | 0.9164 |
| No log | 0.8947 | 34 | 0.8599 | 0.1396 | 0.8599 | 0.9273 |
| No log | 0.9474 | 36 | 0.9284 | 0.0375 | 0.9284 | 0.9635 |
| No log | 1.0 | 38 | 1.0127 | -0.0557 | 1.0127 | 1.0063 |
| No log | 1.0526 | 40 | 1.0233 | 0.0051 | 1.0233 | 1.0116 |
| No log | 1.1053 | 42 | 0.9729 | 0.0441 | 0.9729 | 0.9864 |
| No log | 1.1579 | 44 | 0.9264 | 0.0673 | 0.9264 | 0.9625 |
| No log | 1.2105 | 46 | 0.9040 | 0.0553 | 0.9040 | 0.9508 |
| No log | 1.2632 | 48 | 0.8890 | 0.1626 | 0.8890 | 0.9428 |
| No log | 1.3158 | 50 | 0.8921 | 0.1342 | 0.8921 | 0.9445 |
| No log | 1.3684 | 52 | 0.9558 | 0.0321 | 0.9558 | 0.9777 |
| No log | 1.4211 | 54 | 0.9777 | 0.0499 | 0.9777 | 0.9888 |
| No log | 1.4737 | 56 | 1.0462 | -0.0421 | 1.0462 | 1.0228 |
| No log | 1.5263 | 58 | 0.9677 | -0.0155 | 0.9677 | 0.9837 |
| No log | 1.5789 | 60 | 0.8695 | 0.1284 | 0.8695 | 0.9325 |
| No log | 1.6316 | 62 | 0.8719 | 0.1029 | 0.8719 | 0.9337 |
| No log | 1.6842 | 64 | 0.9819 | 0.0794 | 0.9819 | 0.9909 |
| No log | 1.7368 | 66 | 1.0203 | 0.0739 | 1.0203 | 1.0101 |
| No log | 1.7895 | 68 | 0.8679 | 0.2469 | 0.8679 | 0.9316 |
| No log | 1.8421 | 70 | 0.7791 | 0.1754 | 0.7791 | 0.8826 |
| No log | 1.8947 | 72 | 0.7511 | 0.3121 | 0.7511 | 0.8666 |
| No log | 1.9474 | 74 | 0.7447 | 0.3220 | 0.7447 | 0.8630 |
| No log | 2.0 | 76 | 0.7468 | 0.2713 | 0.7468 | 0.8642 |
| No log | 2.0526 | 78 | 0.7728 | 0.2733 | 0.7728 | 0.8791 |
| No log | 2.1053 | 80 | 0.9182 | 0.1585 | 0.9182 | 0.9582 |
| No log | 2.1579 | 82 | 0.9350 | 0.1854 | 0.9350 | 0.9669 |
| No log | 2.2105 | 84 | 0.8174 | 0.2598 | 0.8174 | 0.9041 |
| No log | 2.2632 | 86 | 0.7221 | 0.2892 | 0.7221 | 0.8498 |
| No log | 2.3158 | 88 | 0.6746 | 0.3628 | 0.6746 | 0.8214 |
| No log | 2.3684 | 90 | 0.6691 | 0.4570 | 0.6691 | 0.8180 |
| No log | 2.4211 | 92 | 0.7051 | 0.4074 | 0.7051 | 0.8397 |
| No log | 2.4737 | 94 | 0.8914 | 0.3234 | 0.8914 | 0.9441 |
| No log | 2.5263 | 96 | 1.0236 | 0.3079 | 1.0236 | 1.0117 |
| No log | 2.5789 | 98 | 0.8994 | 0.3898 | 0.8994 | 0.9484 |
| No log | 2.6316 | 100 | 0.7376 | 0.4089 | 0.7376 | 0.8588 |
| No log | 2.6842 | 102 | 0.7401 | 0.3578 | 0.7401 | 0.8603 |
| No log | 2.7368 | 104 | 0.9291 | 0.3567 | 0.9291 | 0.9639 |
| No log | 2.7895 | 106 | 0.9190 | 0.3479 | 0.9190 | 0.9587 |
| No log | 2.8421 | 108 | 0.7760 | 0.3681 | 0.7760 | 0.8809 |
| No log | 2.8947 | 110 | 0.6885 | 0.4174 | 0.6885 | 0.8297 |
| No log | 2.9474 | 112 | 0.7653 | 0.4100 | 0.7653 | 0.8748 |
| No log | 3.0 | 114 | 0.6761 | 0.4321 | 0.6761 | 0.8222 |
| No log | 3.0526 | 116 | 0.7811 | 0.3324 | 0.7811 | 0.8838 |
| No log | 3.1053 | 118 | 1.0419 | 0.3169 | 1.0419 | 1.0208 |
| No log | 3.1579 | 120 | 1.0014 | 0.3145 | 1.0014 | 1.0007 |
| No log | 3.2105 | 122 | 0.7376 | 0.4074 | 0.7376 | 0.8588 |
| No log | 3.2632 | 124 | 0.6683 | 0.3550 | 0.6683 | 0.8175 |
| No log | 3.3158 | 126 | 0.7024 | 0.3216 | 0.7024 | 0.8381 |
| No log | 3.3684 | 128 | 0.6908 | 0.3542 | 0.6908 | 0.8312 |
| No log | 3.4211 | 130 | 0.7954 | 0.3383 | 0.7954 | 0.8919 |
| No log | 3.4737 | 132 | 0.8443 | 0.3489 | 0.8443 | 0.9189 |
| No log | 3.5263 | 134 | 0.7840 | 0.3772 | 0.7840 | 0.8854 |
| No log | 3.5789 | 136 | 0.8167 | 0.3230 | 0.8167 | 0.9037 |
| No log | 3.6316 | 138 | 0.9483 | 0.3446 | 0.9483 | 0.9738 |
| No log | 3.6842 | 140 | 1.1276 | 0.3011 | 1.1276 | 1.0619 |
| No log | 3.7368 | 142 | 1.0205 | 0.3272 | 1.0205 | 1.0102 |
| No log | 3.7895 | 144 | 0.8394 | 0.2847 | 0.8394 | 0.9162 |
| No log | 3.8421 | 146 | 0.7886 | 0.3684 | 0.7886 | 0.8880 |
| No log | 3.8947 | 148 | 0.8330 | 0.3316 | 0.8330 | 0.9127 |
| No log | 3.9474 | 150 | 0.9085 | 0.3461 | 0.9085 | 0.9531 |
| No log | 4.0 | 152 | 0.7584 | 0.4263 | 0.7584 | 0.8708 |
| No log | 4.0526 | 154 | 0.6417 | 0.4378 | 0.6417 | 0.8010 |
| No log | 4.1053 | 156 | 0.6679 | 0.4783 | 0.6679 | 0.8173 |
| No log | 4.1579 | 158 | 0.6402 | 0.4483 | 0.6402 | 0.8001 |
| No log | 4.2105 | 160 | 0.6417 | 0.4507 | 0.6417 | 0.8011 |
| No log | 4.2632 | 162 | 0.6394 | 0.4318 | 0.6394 | 0.7996 |
| No log | 4.3158 | 164 | 0.6208 | 0.4533 | 0.6208 | 0.7879 |
| No log | 4.3684 | 166 | 0.6343 | 0.3495 | 0.6343 | 0.7964 |
| No log | 4.4211 | 168 | 0.6837 | 0.3700 | 0.6837 | 0.8268 |
| No log | 4.4737 | 170 | 0.6638 | 0.3664 | 0.6638 | 0.8147 |
| No log | 4.5263 | 172 | 0.6462 | 0.3618 | 0.6462 | 0.8038 |
| No log | 4.5789 | 174 | 0.7193 | 0.3813 | 0.7193 | 0.8481 |
| No log | 4.6316 | 176 | 0.7091 | 0.4397 | 0.7091 | 0.8421 |
| No log | 4.6842 | 178 | 0.6457 | 0.4583 | 0.6457 | 0.8035 |
| No log | 4.7368 | 180 | 0.6720 | 0.4500 | 0.6720 | 0.8198 |
| No log | 4.7895 | 182 | 0.6147 | 0.5034 | 0.6147 | 0.7840 |
| No log | 4.8421 | 184 | 0.6509 | 0.3773 | 0.6509 | 0.8068 |
| No log | 4.8947 | 186 | 0.6449 | 0.3700 | 0.6449 | 0.8030 |
| No log | 4.9474 | 188 | 0.6421 | 0.4343 | 0.6421 | 0.8013 |
| No log | 5.0 | 190 | 0.7698 | 0.4450 | 0.7698 | 0.8774 |
| No log | 5.0526 | 192 | 0.7559 | 0.4037 | 0.7559 | 0.8694 |
| No log | 5.1053 | 194 | 0.7173 | 0.3782 | 0.7173 | 0.8469 |
| No log | 5.1579 | 196 | 0.7294 | 0.3860 | 0.7294 | 0.8541 |
| No log | 5.2105 | 198 | 0.7621 | 0.3729 | 0.7621 | 0.8730 |
| No log | 5.2632 | 200 | 0.9776 | 0.4339 | 0.9776 | 0.9888 |
| No log | 5.3158 | 202 | 0.9609 | 0.4334 | 0.9609 | 0.9802 |
| No log | 5.3684 | 204 | 0.7982 | 0.4466 | 0.7982 | 0.8934 |
| No log | 5.4211 | 206 | 0.7114 | 0.4464 | 0.7114 | 0.8434 |
| No log | 5.4737 | 208 | 0.6533 | 0.4233 | 0.6533 | 0.8083 |
| No log | 5.5263 | 210 | 0.6853 | 0.4250 | 0.6853 | 0.8278 |
| No log | 5.5789 | 212 | 0.9139 | 0.4052 | 0.9139 | 0.9560 |
| No log | 5.6316 | 214 | 1.1568 | 0.3331 | 1.1568 | 1.0755 |
| No log | 5.6842 | 216 | 1.0503 | 0.3470 | 1.0503 | 1.0249 |
| No log | 5.7368 | 218 | 0.7469 | 0.4472 | 0.7469 | 0.8642 |
| No log | 5.7895 | 220 | 0.6245 | 0.5046 | 0.6245 | 0.7903 |
| No log | 5.8421 | 222 | 0.6179 | 0.4860 | 0.6179 | 0.7861 |
| No log | 5.8947 | 224 | 0.6279 | 0.4521 | 0.6279 | 0.7924 |
| No log | 5.9474 | 226 | 0.8150 | 0.4413 | 0.8150 | 0.9028 |
| No log | 6.0 | 228 | 0.9317 | 0.3972 | 0.9317 | 0.9653 |
| No log | 6.0526 | 230 | 0.8293 | 0.4419 | 0.8293 | 0.9106 |
| No log | 6.1053 | 232 | 0.6546 | 0.3359 | 0.6546 | 0.8091 |
| No log | 6.1579 | 234 | 0.6605 | 0.3262 | 0.6605 | 0.8127 |
| No log | 6.2105 | 236 | 0.6667 | 0.3800 | 0.6667 | 0.8165 |
| No log | 6.2632 | 238 | 0.6328 | 0.3868 | 0.6328 | 0.7955 |
| No log | 6.3158 | 240 | 0.6409 | 0.4190 | 0.6409 | 0.8006 |
| No log | 6.3684 | 242 | 0.6030 | 0.4936 | 0.6030 | 0.7766 |
| No log | 6.4211 | 244 | 0.6039 | 0.4370 | 0.6039 | 0.7771 |
| No log | 6.4737 | 246 | 0.5951 | 0.5533 | 0.5951 | 0.7714 |
| No log | 6.5263 | 248 | 0.6645 | 0.4478 | 0.6645 | 0.8152 |
| No log | 6.5789 | 250 | 0.8172 | 0.4091 | 0.8172 | 0.9040 |
| No log | 6.6316 | 252 | 0.7578 | 0.4486 | 0.7578 | 0.8705 |
| No log | 6.6842 | 254 | 0.6332 | 0.3553 | 0.6332 | 0.7957 |
| No log | 6.7368 | 256 | 0.6191 | 0.3736 | 0.6191 | 0.7868 |
| No log | 6.7895 | 258 | 0.6232 | 0.3849 | 0.6232 | 0.7894 |
| No log | 6.8421 | 260 | 0.6458 | 0.3763 | 0.6458 | 0.8036 |
| No log | 6.8947 | 262 | 0.6834 | 0.4159 | 0.6834 | 0.8267 |
| No log | 6.9474 | 264 | 0.6377 | 0.3907 | 0.6377 | 0.7986 |
| No log | 7.0 | 266 | 0.6248 | 0.4090 | 0.6248 | 0.7904 |
| No log | 7.0526 | 268 | 0.6100 | 0.3471 | 0.6100 | 0.7810 |
| No log | 7.1053 | 270 | 0.6139 | 0.3924 | 0.6139 | 0.7835 |
| No log | 7.1579 | 272 | 0.6240 | 0.4669 | 0.6240 | 0.7899 |
| No log | 7.2105 | 274 | 0.6322 | 0.4164 | 0.6322 | 0.7951 |
| No log | 7.2632 | 276 | 0.6654 | 0.3621 | 0.6654 | 0.8158 |
| No log | 7.3158 | 278 | 0.7827 | 0.4056 | 0.7827 | 0.8847 |
| No log | 7.3684 | 280 | 0.7267 | 0.4078 | 0.7267 | 0.8525 |
| No log | 7.4211 | 282 | 0.6257 | 0.4460 | 0.6257 | 0.7910 |
| No log | 7.4737 | 284 | 0.6614 | 0.5273 | 0.6614 | 0.8133 |
| No log | 7.5263 | 286 | 0.6454 | 0.5273 | 0.6454 | 0.8034 |
| No log | 7.5789 | 288 | 0.6316 | 0.4074 | 0.6316 | 0.7947 |
| No log | 7.6316 | 290 | 0.6934 | 0.4225 | 0.6934 | 0.8327 |
| No log | 7.6842 | 292 | 0.6661 | 0.4072 | 0.6661 | 0.8161 |
| No log | 7.7368 | 294 | 0.6256 | 0.4504 | 0.6256 | 0.7909 |
| No log | 7.7895 | 296 | 0.6026 | 0.4102 | 0.6026 | 0.7763 |
| No log | 7.8421 | 298 | 0.6001 | 0.4688 | 0.6001 | 0.7747 |
| No log | 7.8947 | 300 | 0.6008 | 0.4360 | 0.6008 | 0.7751 |
| No log | 7.9474 | 302 | 0.5877 | 0.4328 | 0.5877 | 0.7666 |
| No log | 8.0 | 304 | 0.5880 | 0.4313 | 0.5880 | 0.7668 |
| No log | 8.0526 | 306 | 0.5824 | 0.4446 | 0.5824 | 0.7631 |
| No log | 8.1053 | 308 | 0.6303 | 0.4579 | 0.6303 | 0.7939 |
| No log | 8.1579 | 310 | 0.6687 | 0.5417 | 0.6687 | 0.8177 |
| No log | 8.2105 | 312 | 0.6243 | 0.4938 | 0.6243 | 0.7901 |
| No log | 8.2632 | 314 | 0.5755 | 0.4783 | 0.5755 | 0.7586 |
| No log | 8.3158 | 316 | 0.5701 | 0.4946 | 0.5701 | 0.7551 |
| No log | 8.3684 | 318 | 0.5687 | 0.4807 | 0.5687 | 0.7541 |
| No log | 8.4211 | 320 | 0.5731 | 0.4818 | 0.5731 | 0.7570 |
| No log | 8.4737 | 322 | 0.5650 | 0.4473 | 0.5650 | 0.7517 |
| No log | 8.5263 | 324 | 0.5626 | 0.4344 | 0.5626 | 0.7501 |
| No log | 8.5789 | 326 | 0.5687 | 0.4818 | 0.5687 | 0.7541 |
| No log | 8.6316 | 328 | 0.5710 | 0.4823 | 0.5710 | 0.7556 |
| No log | 8.6842 | 330 | 0.5646 | 0.5378 | 0.5646 | 0.7514 |
| No log | 8.7368 | 332 | 0.6081 | 0.4487 | 0.6081 | 0.7798 |
| No log | 8.7895 | 334 | 0.5823 | 0.4353 | 0.5823 | 0.7631 |
| No log | 8.8421 | 336 | 0.5692 | 0.4594 | 0.5692 | 0.7545 |
| No log | 8.8947 | 338 | 0.5635 | 0.4546 | 0.5635 | 0.7507 |
| No log | 8.9474 | 340 | 0.5862 | 0.5524 | 0.5862 | 0.7657 |
| No log | 9.0 | 342 | 0.5767 | 0.5272 | 0.5767 | 0.7594 |
| No log | 9.0526 | 344 | 0.5804 | 0.4941 | 0.5804 | 0.7619 |
| No log | 9.1053 | 346 | 0.6106 | 0.4821 | 0.6106 | 0.7814 |
| No log | 9.1579 | 348 | 0.5803 | 0.5064 | 0.5803 | 0.7618 |
| No log | 9.2105 | 350 | 0.5632 | 0.4335 | 0.5632 | 0.7504 |
| No log | 9.2632 | 352 | 0.5813 | 0.4588 | 0.5813 | 0.7625 |
| No log | 9.3158 | 354 | 0.6550 | 0.3729 | 0.6550 | 0.8093 |
| No log | 9.3684 | 356 | 0.6636 | 0.3898 | 0.6636 | 0.8146 |
| No log | 9.4211 | 358 | 0.6219 | 0.3973 | 0.6219 | 0.7886 |
| No log | 9.4737 | 360 | 0.5989 | 0.4321 | 0.5989 | 0.7739 |
| No log | 9.5263 | 362 | 0.5790 | 0.4339 | 0.5790 | 0.7609 |
| No log | 9.5789 | 364 | 0.5886 | 0.4341 | 0.5886 | 0.7672 |
| No log | 9.6316 | 366 | 0.6060 | 0.4945 | 0.6060 | 0.7785 |
| No log | 9.6842 | 368 | 0.6615 | 0.5121 | 0.6615 | 0.8133 |
| No log | 9.7368 | 370 | 0.6721 | 0.5399 | 0.6721 | 0.8198 |
| No log | 9.7895 | 372 | 0.5980 | 0.4672 | 0.5980 | 0.7733 |
| No log | 9.8421 | 374 | 0.5906 | 0.4341 | 0.5906 | 0.7685 |
| No log | 9.8947 | 376 | 0.5856 | 0.4587 | 0.5856 | 0.7653 |
| No log | 9.9474 | 378 | 0.5871 | 0.4585 | 0.5871 | 0.7663 |
| No log | 10.0 | 380 | 0.6534 | 0.5507 | 0.6534 | 0.8083 |
| No log | 10.0526 | 382 | 0.6789 | 0.5732 | 0.6789 | 0.8239 |
| No log | 10.1053 | 384 | 0.6180 | 0.5484 | 0.6180 | 0.7861 |
| No log | 10.1579 | 386 | 0.5730 | 0.4861 | 0.5730 | 0.7569 |
| No log | 10.2105 | 388 | 0.5798 | 0.4697 | 0.5798 | 0.7614 |
| No log | 10.2632 | 390 | 0.5709 | 0.4559 | 0.5709 | 0.7555 |
| No log | 10.3158 | 392 | 0.5679 | 0.5012 | 0.5679 | 0.7536 |
| No log | 10.3684 | 394 | 0.5862 | 0.5997 | 0.5862 | 0.7656 |
| No log | 10.4211 | 396 | 0.5922 | 0.6060 | 0.5922 | 0.7696 |
| No log | 10.4737 | 398 | 0.5631 | 0.4790 | 0.5631 | 0.7504 |
| No log | 10.5263 | 400 | 0.6620 | 0.4487 | 0.6620 | 0.8136 |
| No log | 10.5789 | 402 | 0.7541 | 0.4181 | 0.7541 | 0.8684 |
| No log | 10.6316 | 404 | 0.6715 | 0.4150 | 0.6715 | 0.8195 |
| No log | 10.6842 | 406 | 0.5675 | 0.4271 | 0.5675 | 0.7533 |
| No log | 10.7368 | 408 | 0.5922 | 0.5281 | 0.5922 | 0.7695 |
| No log | 10.7895 | 410 | 0.6709 | 0.4457 | 0.6709 | 0.8191 |
| No log | 10.8421 | 412 | 0.6668 | 0.4776 | 0.6668 | 0.8166 |
| No log | 10.8947 | 414 | 0.6004 | 0.4634 | 0.6004 | 0.7749 |
| No log | 10.9474 | 416 | 0.5899 | 0.5057 | 0.5899 | 0.7681 |
| No log | 11.0 | 418 | 0.6032 | 0.4582 | 0.6032 | 0.7766 |
| No log | 11.0526 | 420 | 0.6346 | 0.5013 | 0.6346 | 0.7966 |
| No log | 11.1053 | 422 | 0.7230 | 0.4849 | 0.7230 | 0.8503 |
| No log | 11.1579 | 424 | 0.7941 | 0.4639 | 0.7941 | 0.8911 |
| No log | 11.2105 | 426 | 0.7459 | 0.4339 | 0.7459 | 0.8636 |
| No log | 11.2632 | 428 | 0.6531 | 0.3622 | 0.6531 | 0.8082 |
| No log | 11.3158 | 430 | 0.5910 | 0.4889 | 0.5910 | 0.7688 |
| No log | 11.3684 | 432 | 0.5890 | 0.4260 | 0.5890 | 0.7674 |
| No log | 11.4211 | 434 | 0.5814 | 0.4562 | 0.5814 | 0.7625 |
| No log | 11.4737 | 436 | 0.5924 | 0.4682 | 0.5924 | 0.7697 |
| No log | 11.5263 | 438 | 0.6668 | 0.4921 | 0.6668 | 0.8166 |
| No log | 11.5789 | 440 | 0.7004 | 0.5315 | 0.7004 | 0.8369 |
| No log | 11.6316 | 442 | 0.6308 | 0.5020 | 0.6308 | 0.7943 |
| No log | 11.6842 | 444 | 0.5825 | 0.4779 | 0.5825 | 0.7632 |
| No log | 11.7368 | 446 | 0.5895 | 0.4037 | 0.5895 | 0.7678 |
| No log | 11.7895 | 448 | 0.6116 | 0.4212 | 0.6116 | 0.7820 |
| No log | 11.8421 | 450 | 0.6151 | 0.4331 | 0.6151 | 0.7843 |
| No log | 11.8947 | 452 | 0.6791 | 0.4153 | 0.6791 | 0.8241 |
| No log | 11.9474 | 454 | 0.7925 | 0.4219 | 0.7925 | 0.8902 |
| No log | 12.0 | 456 | 0.8212 | 0.3981 | 0.8212 | 0.9062 |
| No log | 12.0526 | 458 | 0.7256 | 0.4108 | 0.7256 | 0.8518 |
| No log | 12.1053 | 460 | 0.6305 | 0.4620 | 0.6305 | 0.7941 |
| No log | 12.1579 | 462 | 0.6111 | 0.4130 | 0.6111 | 0.7817 |
| No log | 12.2105 | 464 | 0.6068 | 0.4254 | 0.6068 | 0.7790 |
| No log | 12.2632 | 466 | 0.6145 | 0.4569 | 0.6145 | 0.7839 |
| No log | 12.3158 | 468 | 0.6537 | 0.4780 | 0.6537 | 0.8085 |
| No log | 12.3684 | 470 | 0.6632 | 0.4780 | 0.6632 | 0.8144 |
| No log | 12.4211 | 472 | 0.6382 | 0.4585 | 0.6382 | 0.7988 |
| No log | 12.4737 | 474 | 0.5962 | 0.4889 | 0.5962 | 0.7721 |
| No log | 12.5263 | 476 | 0.5793 | 0.4490 | 0.5793 | 0.7611 |
| No log | 12.5789 | 478 | 0.5941 | 0.4541 | 0.5941 | 0.7708 |
| No log | 12.6316 | 480 | 0.6489 | 0.4629 | 0.6489 | 0.8055 |
| No log | 12.6842 | 482 | 0.7006 | 0.4671 | 0.7006 | 0.8370 |
| No log | 12.7368 | 484 | 0.6587 | 0.4538 | 0.6587 | 0.8116 |
| No log | 12.7895 | 486 | 0.5985 | 0.4792 | 0.5985 | 0.7736 |
| No log | 12.8421 | 488 | 0.5737 | 0.4717 | 0.5737 | 0.7574 |
| No log | 12.8947 | 490 | 0.5759 | 0.4676 | 0.5759 | 0.7589 |
| No log | 12.9474 | 492 | 0.5975 | 0.5453 | 0.5975 | 0.7730 |
| No log | 13.0 | 494 | 0.6296 | 0.5531 | 0.6296 | 0.7935 |
| No log | 13.0526 | 496 | 0.6141 | 0.5720 | 0.6141 | 0.7837 |
| No log | 13.1053 | 498 | 0.5920 | 0.4657 | 0.5920 | 0.7694 |
| 0.3611 | 13.1579 | 500 | 0.6005 | 0.4102 | 0.6005 | 0.7749 |
| 0.3611 | 13.2105 | 502 | 0.5983 | 0.3617 | 0.5983 | 0.7735 |
| 0.3611 | 13.2632 | 504 | 0.6021 | 0.4036 | 0.6021 | 0.7759 |
| 0.3611 | 13.3158 | 506 | 0.6109 | 0.3601 | 0.6109 | 0.7816 |
| 0.3611 | 13.3684 | 508 | 0.6312 | 0.2915 | 0.6312 | 0.7945 |
| 0.3611 | 13.4211 | 510 | 0.6200 | 0.3132 | 0.6200 | 0.7874 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task2_organization
Base model
aubmindlab/bert-base-arabertv02