Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k12_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k12_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k12_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k12_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k12_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k12_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: 0.8157
- Qwk: 0.5321
- Mse: 0.8157
- Rmse: 0.9032
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 | 4.0632 | -0.0259 | 4.0632 | 2.0157 |
| No log | 0.0656 | 4 | 2.2440 | 0.0424 | 2.2440 | 1.4980 |
| No log | 0.0984 | 6 | 1.6468 | 0.0098 | 1.6468 | 1.2833 |
| No log | 0.1311 | 8 | 1.0728 | -0.0117 | 1.0728 | 1.0357 |
| No log | 0.1639 | 10 | 0.7353 | 0.2110 | 0.7353 | 0.8575 |
| No log | 0.1967 | 12 | 0.7295 | 0.2681 | 0.7295 | 0.8541 |
| No log | 0.2295 | 14 | 0.7400 | 0.2454 | 0.7400 | 0.8602 |
| No log | 0.2623 | 16 | 0.7290 | 0.1703 | 0.7290 | 0.8538 |
| No log | 0.2951 | 18 | 0.7082 | 0.2376 | 0.7082 | 0.8415 |
| No log | 0.3279 | 20 | 1.0763 | -0.0075 | 1.0763 | 1.0375 |
| No log | 0.3607 | 22 | 1.2712 | 0.0275 | 1.2712 | 1.1275 |
| No log | 0.3934 | 24 | 0.8683 | 0.0792 | 0.8683 | 0.9318 |
| No log | 0.4262 | 26 | 0.6695 | 0.3102 | 0.6695 | 0.8182 |
| No log | 0.4590 | 28 | 0.7081 | 0.2714 | 0.7081 | 0.8415 |
| No log | 0.4918 | 30 | 0.8235 | 0.2748 | 0.8235 | 0.9075 |
| No log | 0.5246 | 32 | 0.7927 | 0.2920 | 0.7927 | 0.8903 |
| No log | 0.5574 | 34 | 0.7911 | 0.3133 | 0.7911 | 0.8894 |
| No log | 0.5902 | 36 | 0.9561 | 0.2578 | 0.9561 | 0.9778 |
| No log | 0.6230 | 38 | 1.3759 | 0.2407 | 1.3759 | 1.1730 |
| No log | 0.6557 | 40 | 1.3184 | 0.2520 | 1.3184 | 1.1482 |
| No log | 0.6885 | 42 | 1.0192 | 0.2182 | 1.0192 | 1.0096 |
| No log | 0.7213 | 44 | 0.8129 | 0.2991 | 0.8129 | 0.9016 |
| No log | 0.7541 | 46 | 0.7371 | 0.3421 | 0.7371 | 0.8586 |
| No log | 0.7869 | 48 | 0.8116 | 0.3393 | 0.8116 | 0.9009 |
| No log | 0.8197 | 50 | 0.9802 | 0.2973 | 0.9802 | 0.9901 |
| No log | 0.8525 | 52 | 0.9648 | 0.3048 | 0.9648 | 0.9822 |
| No log | 0.8852 | 54 | 0.8183 | 0.3723 | 0.8183 | 0.9046 |
| No log | 0.9180 | 56 | 0.7544 | 0.4274 | 0.7544 | 0.8686 |
| No log | 0.9508 | 58 | 0.7283 | 0.4812 | 0.7283 | 0.8534 |
| No log | 0.9836 | 60 | 0.7126 | 0.4723 | 0.7126 | 0.8442 |
| No log | 1.0164 | 62 | 0.8557 | 0.3615 | 0.8557 | 0.9250 |
| No log | 1.0492 | 64 | 1.0318 | 0.3592 | 1.0318 | 1.0158 |
| No log | 1.0820 | 66 | 0.8553 | 0.4205 | 0.8553 | 0.9248 |
| No log | 1.1148 | 68 | 0.7891 | 0.4540 | 0.7891 | 0.8883 |
| No log | 1.1475 | 70 | 0.8566 | 0.3905 | 0.8566 | 0.9255 |
| No log | 1.1803 | 72 | 0.9833 | 0.3742 | 0.9833 | 0.9916 |
| No log | 1.2131 | 74 | 1.2037 | 0.3716 | 1.2037 | 1.0971 |
| No log | 1.2459 | 76 | 0.9700 | 0.4030 | 0.9700 | 0.9849 |
| No log | 1.2787 | 78 | 0.6914 | 0.5164 | 0.6914 | 0.8315 |
| No log | 1.3115 | 80 | 0.7531 | 0.3985 | 0.7531 | 0.8678 |
| No log | 1.3443 | 82 | 0.7544 | 0.4104 | 0.7544 | 0.8686 |
| No log | 1.3770 | 84 | 0.6755 | 0.4980 | 0.6755 | 0.8219 |
| No log | 1.4098 | 86 | 0.8741 | 0.3958 | 0.8741 | 0.9349 |
| No log | 1.4426 | 88 | 1.1452 | 0.3520 | 1.1452 | 1.0702 |
| No log | 1.4754 | 90 | 1.0980 | 0.3800 | 1.0980 | 1.0479 |
| No log | 1.5082 | 92 | 0.7781 | 0.4026 | 0.7781 | 0.8821 |
| No log | 1.5410 | 94 | 0.6441 | 0.3982 | 0.6441 | 0.8025 |
| No log | 1.5738 | 96 | 0.6339 | 0.4646 | 0.6339 | 0.7961 |
| No log | 1.6066 | 98 | 0.6593 | 0.4613 | 0.6593 | 0.8120 |
| No log | 1.6393 | 100 | 0.6708 | 0.4554 | 0.6708 | 0.8190 |
| No log | 1.6721 | 102 | 0.6757 | 0.4438 | 0.6757 | 0.8220 |
| No log | 1.7049 | 104 | 0.7113 | 0.4599 | 0.7113 | 0.8434 |
| No log | 1.7377 | 106 | 0.7460 | 0.4471 | 0.7460 | 0.8637 |
| No log | 1.7705 | 108 | 0.7865 | 0.4264 | 0.7865 | 0.8869 |
| No log | 1.8033 | 110 | 0.8399 | 0.4308 | 0.8399 | 0.9165 |
| No log | 1.8361 | 112 | 0.8124 | 0.4013 | 0.8124 | 0.9013 |
| No log | 1.8689 | 114 | 0.7624 | 0.4097 | 0.7624 | 0.8732 |
| No log | 1.9016 | 116 | 0.7513 | 0.3868 | 0.7513 | 0.8667 |
| No log | 1.9344 | 118 | 0.7632 | 0.4243 | 0.7632 | 0.8736 |
| No log | 1.9672 | 120 | 0.8165 | 0.4023 | 0.8165 | 0.9036 |
| No log | 2.0 | 122 | 0.7774 | 0.4036 | 0.7774 | 0.8817 |
| No log | 2.0328 | 124 | 0.8323 | 0.3884 | 0.8323 | 0.9123 |
| No log | 2.0656 | 126 | 0.9308 | 0.4297 | 0.9308 | 0.9648 |
| No log | 2.0984 | 128 | 0.8425 | 0.4108 | 0.8425 | 0.9179 |
| No log | 2.1311 | 130 | 0.7318 | 0.4332 | 0.7318 | 0.8554 |
| No log | 2.1639 | 132 | 0.6805 | 0.4517 | 0.6805 | 0.8249 |
| No log | 2.1967 | 134 | 0.6918 | 0.4702 | 0.6918 | 0.8317 |
| No log | 2.2295 | 136 | 0.6996 | 0.4564 | 0.6996 | 0.8364 |
| No log | 2.2623 | 138 | 0.7126 | 0.4642 | 0.7126 | 0.8441 |
| No log | 2.2951 | 140 | 0.7384 | 0.5310 | 0.7384 | 0.8593 |
| No log | 2.3279 | 142 | 0.7291 | 0.5130 | 0.7291 | 0.8538 |
| No log | 2.3607 | 144 | 0.7715 | 0.4479 | 0.7715 | 0.8784 |
| No log | 2.3934 | 146 | 0.8092 | 0.4614 | 0.8092 | 0.8995 |
| No log | 2.4262 | 148 | 0.8464 | 0.5045 | 0.8464 | 0.9200 |
| No log | 2.4590 | 150 | 0.9173 | 0.4437 | 0.9173 | 0.9577 |
| No log | 2.4918 | 152 | 0.9198 | 0.4452 | 0.9198 | 0.9590 |
| No log | 2.5246 | 154 | 0.8472 | 0.4787 | 0.8472 | 0.9204 |
| No log | 2.5574 | 156 | 1.0219 | 0.4570 | 1.0219 | 1.0109 |
| No log | 2.5902 | 158 | 0.9741 | 0.4314 | 0.9741 | 0.9870 |
| No log | 2.6230 | 160 | 0.7608 | 0.5178 | 0.7608 | 0.8722 |
| No log | 2.6557 | 162 | 0.7196 | 0.4933 | 0.7196 | 0.8483 |
| No log | 2.6885 | 164 | 0.7247 | 0.4822 | 0.7247 | 0.8513 |
| No log | 2.7213 | 166 | 0.7335 | 0.5651 | 0.7335 | 0.8565 |
| No log | 2.7541 | 168 | 0.7826 | 0.5703 | 0.7826 | 0.8846 |
| No log | 2.7869 | 170 | 0.8408 | 0.5642 | 0.8408 | 0.9170 |
| No log | 2.8197 | 172 | 0.8902 | 0.5257 | 0.8902 | 0.9435 |
| No log | 2.8525 | 174 | 0.9306 | 0.5433 | 0.9306 | 0.9647 |
| No log | 2.8852 | 176 | 1.0177 | 0.4910 | 1.0177 | 1.0088 |
| No log | 2.9180 | 178 | 1.0368 | 0.4888 | 1.0368 | 1.0182 |
| No log | 2.9508 | 180 | 1.0714 | 0.4745 | 1.0714 | 1.0351 |
| No log | 2.9836 | 182 | 1.0516 | 0.4727 | 1.0516 | 1.0255 |
| No log | 3.0164 | 184 | 1.0405 | 0.4696 | 1.0405 | 1.0200 |
| No log | 3.0492 | 186 | 0.9341 | 0.5087 | 0.9341 | 0.9665 |
| No log | 3.0820 | 188 | 0.9003 | 0.5245 | 0.9003 | 0.9488 |
| No log | 3.1148 | 190 | 0.9026 | 0.5344 | 0.9026 | 0.9501 |
| No log | 3.1475 | 192 | 0.9109 | 0.5188 | 0.9109 | 0.9544 |
| No log | 3.1803 | 194 | 0.8947 | 0.5431 | 0.8947 | 0.9459 |
| No log | 3.2131 | 196 | 0.9768 | 0.4725 | 0.9768 | 0.9883 |
| No log | 3.2459 | 198 | 1.0334 | 0.4623 | 1.0334 | 1.0165 |
| No log | 3.2787 | 200 | 1.0637 | 0.4458 | 1.0637 | 1.0313 |
| No log | 3.3115 | 202 | 1.1031 | 0.4146 | 1.1031 | 1.0503 |
| No log | 3.3443 | 204 | 1.0174 | 0.4291 | 1.0174 | 1.0087 |
| No log | 3.3770 | 206 | 0.9349 | 0.4587 | 0.9349 | 0.9669 |
| No log | 3.4098 | 208 | 0.8763 | 0.4471 | 0.8763 | 0.9361 |
| No log | 3.4426 | 210 | 0.8591 | 0.4521 | 0.8591 | 0.9269 |
| No log | 3.4754 | 212 | 1.0067 | 0.4062 | 1.0067 | 1.0033 |
| No log | 3.5082 | 214 | 0.9861 | 0.3941 | 0.9861 | 0.9930 |
| No log | 3.5410 | 216 | 0.8428 | 0.4493 | 0.8428 | 0.9180 |
| No log | 3.5738 | 218 | 0.7997 | 0.5008 | 0.7997 | 0.8943 |
| No log | 3.6066 | 220 | 0.8625 | 0.4887 | 0.8625 | 0.9287 |
| No log | 3.6393 | 222 | 0.9096 | 0.4840 | 0.9096 | 0.9537 |
| No log | 3.6721 | 224 | 1.0327 | 0.4169 | 1.0327 | 1.0162 |
| No log | 3.7049 | 226 | 1.1022 | 0.4203 | 1.1022 | 1.0499 |
| No log | 3.7377 | 228 | 1.0774 | 0.4321 | 1.0774 | 1.0380 |
| No log | 3.7705 | 230 | 1.0549 | 0.4380 | 1.0549 | 1.0271 |
| No log | 3.8033 | 232 | 1.0050 | 0.4128 | 1.0050 | 1.0025 |
| No log | 3.8361 | 234 | 0.9852 | 0.4158 | 0.9852 | 0.9926 |
| No log | 3.8689 | 236 | 0.9432 | 0.4409 | 0.9432 | 0.9712 |
| No log | 3.9016 | 238 | 0.9373 | 0.4654 | 0.9373 | 0.9681 |
| No log | 3.9344 | 240 | 0.9680 | 0.4150 | 0.9680 | 0.9838 |
| No log | 3.9672 | 242 | 0.9328 | 0.4704 | 0.9328 | 0.9658 |
| No log | 4.0 | 244 | 0.8817 | 0.4506 | 0.8817 | 0.9390 |
| No log | 4.0328 | 246 | 0.8356 | 0.4565 | 0.8356 | 0.9141 |
| No log | 4.0656 | 248 | 0.7986 | 0.4524 | 0.7986 | 0.8936 |
| No log | 4.0984 | 250 | 0.7945 | 0.4932 | 0.7945 | 0.8914 |
| No log | 4.1311 | 252 | 0.8476 | 0.4698 | 0.8476 | 0.9207 |
| No log | 4.1639 | 254 | 0.9233 | 0.4012 | 0.9233 | 0.9609 |
| No log | 4.1967 | 256 | 0.9678 | 0.4469 | 0.9678 | 0.9838 |
| No log | 4.2295 | 258 | 0.9770 | 0.4676 | 0.9770 | 0.9885 |
| No log | 4.2623 | 260 | 0.9823 | 0.4697 | 0.9823 | 0.9911 |
| No log | 4.2951 | 262 | 0.9591 | 0.4765 | 0.9591 | 0.9793 |
| No log | 4.3279 | 264 | 0.9359 | 0.4613 | 0.9359 | 0.9674 |
| No log | 4.3607 | 266 | 0.9785 | 0.3851 | 0.9785 | 0.9892 |
| No log | 4.3934 | 268 | 1.0436 | 0.3929 | 1.0436 | 1.0216 |
| No log | 4.4262 | 270 | 0.9512 | 0.3720 | 0.9512 | 0.9753 |
| No log | 4.4590 | 272 | 0.8185 | 0.4728 | 0.8185 | 0.9047 |
| No log | 4.4918 | 274 | 0.8046 | 0.4926 | 0.8046 | 0.8970 |
| No log | 4.5246 | 276 | 0.8161 | 0.4593 | 0.8161 | 0.9034 |
| No log | 4.5574 | 278 | 0.8209 | 0.4870 | 0.8209 | 0.9060 |
| No log | 4.5902 | 280 | 0.8868 | 0.5066 | 0.8868 | 0.9417 |
| No log | 4.6230 | 282 | 0.9970 | 0.3714 | 0.9970 | 0.9985 |
| No log | 4.6557 | 284 | 1.0477 | 0.3825 | 1.0477 | 1.0236 |
| No log | 4.6885 | 286 | 1.0359 | 0.4569 | 1.0359 | 1.0178 |
| No log | 4.7213 | 288 | 1.0292 | 0.4462 | 1.0292 | 1.0145 |
| No log | 4.7541 | 290 | 1.0041 | 0.4461 | 1.0041 | 1.0020 |
| No log | 4.7869 | 292 | 0.9801 | 0.4121 | 0.9801 | 0.9900 |
| No log | 4.8197 | 294 | 0.9109 | 0.4475 | 0.9109 | 0.9544 |
| No log | 4.8525 | 296 | 0.8209 | 0.4817 | 0.8209 | 0.9061 |
| No log | 4.8852 | 298 | 0.7677 | 0.4592 | 0.7677 | 0.8762 |
| No log | 4.9180 | 300 | 0.7770 | 0.4496 | 0.7770 | 0.8815 |
| No log | 4.9508 | 302 | 0.7587 | 0.4540 | 0.7587 | 0.8710 |
| No log | 4.9836 | 304 | 0.7657 | 0.4755 | 0.7657 | 0.8751 |
| No log | 5.0164 | 306 | 0.7936 | 0.4267 | 0.7936 | 0.8909 |
| No log | 5.0492 | 308 | 0.7932 | 0.4505 | 0.7932 | 0.8906 |
| No log | 5.0820 | 310 | 0.8079 | 0.4351 | 0.8079 | 0.8988 |
| No log | 5.1148 | 312 | 0.8147 | 0.4351 | 0.8147 | 0.9026 |
| No log | 5.1475 | 314 | 0.8120 | 0.4687 | 0.8120 | 0.9011 |
| No log | 5.1803 | 316 | 0.8821 | 0.3972 | 0.8821 | 0.9392 |
| No log | 5.2131 | 318 | 0.9179 | 0.3752 | 0.9179 | 0.9581 |
| No log | 5.2459 | 320 | 0.9028 | 0.4104 | 0.9028 | 0.9501 |
| No log | 5.2787 | 322 | 0.8556 | 0.4518 | 0.8556 | 0.9250 |
| No log | 5.3115 | 324 | 0.8348 | 0.4666 | 0.8348 | 0.9137 |
| No log | 5.3443 | 326 | 0.8170 | 0.4408 | 0.8170 | 0.9039 |
| No log | 5.3770 | 328 | 0.7840 | 0.4294 | 0.7840 | 0.8854 |
| No log | 5.4098 | 330 | 0.7618 | 0.4661 | 0.7618 | 0.8728 |
| No log | 5.4426 | 332 | 0.7401 | 0.4878 | 0.7401 | 0.8603 |
| No log | 5.4754 | 334 | 0.7294 | 0.4957 | 0.7294 | 0.8540 |
| No log | 5.5082 | 336 | 0.7354 | 0.4708 | 0.7354 | 0.8575 |
| No log | 5.5410 | 338 | 0.7513 | 0.4897 | 0.7513 | 0.8668 |
| No log | 5.5738 | 340 | 0.7617 | 0.4863 | 0.7617 | 0.8727 |
| No log | 5.6066 | 342 | 0.7804 | 0.5112 | 0.7804 | 0.8834 |
| No log | 5.6393 | 344 | 0.7909 | 0.5405 | 0.7909 | 0.8893 |
| No log | 5.6721 | 346 | 0.7911 | 0.5335 | 0.7911 | 0.8895 |
| No log | 5.7049 | 348 | 0.7881 | 0.5224 | 0.7881 | 0.8878 |
| No log | 5.7377 | 350 | 0.7953 | 0.5296 | 0.7953 | 0.8918 |
| No log | 5.7705 | 352 | 0.7997 | 0.4928 | 0.7997 | 0.8943 |
| No log | 5.8033 | 354 | 0.8003 | 0.4928 | 0.8003 | 0.8946 |
| No log | 5.8361 | 356 | 0.8089 | 0.5069 | 0.8089 | 0.8994 |
| No log | 5.8689 | 358 | 0.7866 | 0.5034 | 0.7866 | 0.8869 |
| No log | 5.9016 | 360 | 0.7909 | 0.5106 | 0.7909 | 0.8893 |
| No log | 5.9344 | 362 | 0.7998 | 0.5457 | 0.7998 | 0.8943 |
| No log | 5.9672 | 364 | 0.7919 | 0.5072 | 0.7919 | 0.8899 |
| No log | 6.0 | 366 | 0.8044 | 0.4979 | 0.8044 | 0.8969 |
| No log | 6.0328 | 368 | 0.8104 | 0.5048 | 0.8104 | 0.9002 |
| No log | 6.0656 | 370 | 0.8151 | 0.4979 | 0.8151 | 0.9028 |
| No log | 6.0984 | 372 | 0.8264 | 0.4926 | 0.8264 | 0.9091 |
| No log | 6.1311 | 374 | 0.8202 | 0.4942 | 0.8202 | 0.9057 |
| No log | 6.1639 | 376 | 0.8232 | 0.5151 | 0.8232 | 0.9073 |
| No log | 6.1967 | 378 | 0.8213 | 0.4850 | 0.8213 | 0.9063 |
| No log | 6.2295 | 380 | 0.8418 | 0.4892 | 0.8418 | 0.9175 |
| No log | 6.2623 | 382 | 0.8560 | 0.4724 | 0.8560 | 0.9252 |
| No log | 6.2951 | 384 | 0.8564 | 0.4706 | 0.8564 | 0.9254 |
| No log | 6.3279 | 386 | 0.8220 | 0.4864 | 0.8220 | 0.9066 |
| No log | 6.3607 | 388 | 0.8096 | 0.4864 | 0.8096 | 0.8998 |
| No log | 6.3934 | 390 | 0.8303 | 0.4864 | 0.8303 | 0.9112 |
| No log | 6.4262 | 392 | 0.8048 | 0.4518 | 0.8048 | 0.8971 |
| No log | 6.4590 | 394 | 0.8018 | 0.4994 | 0.8018 | 0.8954 |
| No log | 6.4918 | 396 | 0.8261 | 0.4949 | 0.8261 | 0.9089 |
| No log | 6.5246 | 398 | 0.8330 | 0.5020 | 0.8330 | 0.9127 |
| No log | 6.5574 | 400 | 0.8391 | 0.4530 | 0.8391 | 0.9160 |
| No log | 6.5902 | 402 | 0.8725 | 0.4585 | 0.8725 | 0.9341 |
| No log | 6.6230 | 404 | 0.8817 | 0.4618 | 0.8817 | 0.9390 |
| No log | 6.6557 | 406 | 0.8456 | 0.4585 | 0.8456 | 0.9195 |
| No log | 6.6885 | 408 | 0.8086 | 0.4916 | 0.8086 | 0.8992 |
| No log | 6.7213 | 410 | 0.8098 | 0.5149 | 0.8098 | 0.8999 |
| No log | 6.7541 | 412 | 0.8119 | 0.4916 | 0.8119 | 0.9010 |
| No log | 6.7869 | 414 | 0.8221 | 0.4806 | 0.8221 | 0.9067 |
| No log | 6.8197 | 416 | 0.8143 | 0.4724 | 0.8143 | 0.9024 |
| No log | 6.8525 | 418 | 0.8021 | 0.4707 | 0.8021 | 0.8956 |
| No log | 6.8852 | 420 | 0.7885 | 0.4707 | 0.7885 | 0.8880 |
| No log | 6.9180 | 422 | 0.7813 | 0.4933 | 0.7813 | 0.8839 |
| No log | 6.9508 | 424 | 0.7773 | 0.5052 | 0.7773 | 0.8817 |
| No log | 6.9836 | 426 | 0.7753 | 0.5174 | 0.7753 | 0.8805 |
| No log | 7.0164 | 428 | 0.7820 | 0.5120 | 0.7820 | 0.8843 |
| No log | 7.0492 | 430 | 0.7971 | 0.5226 | 0.7971 | 0.8928 |
| No log | 7.0820 | 432 | 0.8202 | 0.4826 | 0.8202 | 0.9057 |
| No log | 7.1148 | 434 | 0.8422 | 0.4882 | 0.8422 | 0.9177 |
| No log | 7.1475 | 436 | 0.8403 | 0.4826 | 0.8403 | 0.9167 |
| No log | 7.1803 | 438 | 0.8301 | 0.5173 | 0.8301 | 0.9111 |
| No log | 7.2131 | 440 | 0.8313 | 0.5037 | 0.8313 | 0.9118 |
| No log | 7.2459 | 442 | 0.8137 | 0.5173 | 0.8137 | 0.9021 |
| No log | 7.2787 | 444 | 0.7946 | 0.5092 | 0.7946 | 0.8914 |
| No log | 7.3115 | 446 | 0.7840 | 0.5206 | 0.7840 | 0.8855 |
| No log | 7.3443 | 448 | 0.7838 | 0.5092 | 0.7838 | 0.8853 |
| No log | 7.3770 | 450 | 0.7977 | 0.5013 | 0.7977 | 0.8932 |
| No log | 7.4098 | 452 | 0.8102 | 0.4918 | 0.8102 | 0.9001 |
| No log | 7.4426 | 454 | 0.8154 | 0.4841 | 0.8154 | 0.9030 |
| No log | 7.4754 | 456 | 0.8204 | 0.4841 | 0.8204 | 0.9057 |
| No log | 7.5082 | 458 | 0.8146 | 0.4973 | 0.8146 | 0.9026 |
| No log | 7.5410 | 460 | 0.8189 | 0.5043 | 0.8189 | 0.9049 |
| No log | 7.5738 | 462 | 0.8224 | 0.4837 | 0.8224 | 0.9069 |
| No log | 7.6066 | 464 | 0.8388 | 0.4820 | 0.8388 | 0.9159 |
| No log | 7.6393 | 466 | 0.8395 | 0.4890 | 0.8395 | 0.9162 |
| No log | 7.6721 | 468 | 0.8327 | 0.4939 | 0.8327 | 0.9125 |
| No log | 7.7049 | 470 | 0.8271 | 0.5070 | 0.8271 | 0.9094 |
| No log | 7.7377 | 472 | 0.8186 | 0.4853 | 0.8186 | 0.9048 |
| No log | 7.7705 | 474 | 0.8043 | 0.4853 | 0.8043 | 0.8968 |
| No log | 7.8033 | 476 | 0.7958 | 0.4966 | 0.7958 | 0.8921 |
| No log | 7.8361 | 478 | 0.7810 | 0.4965 | 0.7810 | 0.8838 |
| No log | 7.8689 | 480 | 0.7836 | 0.4524 | 0.7836 | 0.8852 |
| No log | 7.9016 | 482 | 0.7898 | 0.4524 | 0.7898 | 0.8887 |
| No log | 7.9344 | 484 | 0.7868 | 0.4536 | 0.7868 | 0.8870 |
| No log | 7.9672 | 486 | 0.7916 | 0.4514 | 0.7916 | 0.8897 |
| No log | 8.0 | 488 | 0.7912 | 0.4514 | 0.7912 | 0.8895 |
| No log | 8.0328 | 490 | 0.7794 | 0.4514 | 0.7794 | 0.8828 |
| No log | 8.0656 | 492 | 0.7730 | 0.4514 | 0.7730 | 0.8792 |
| No log | 8.0984 | 494 | 0.7686 | 0.4424 | 0.7686 | 0.8767 |
| No log | 8.1311 | 496 | 0.7717 | 0.4932 | 0.7717 | 0.8785 |
| No log | 8.1639 | 498 | 0.7764 | 0.4817 | 0.7764 | 0.8811 |
| 0.4018 | 8.1967 | 500 | 0.7757 | 0.4963 | 0.7757 | 0.8808 |
| 0.4018 | 8.2295 | 502 | 0.7724 | 0.4823 | 0.7724 | 0.8789 |
| 0.4018 | 8.2623 | 504 | 0.7756 | 0.4817 | 0.7756 | 0.8807 |
| 0.4018 | 8.2951 | 506 | 0.7840 | 0.4750 | 0.7840 | 0.8854 |
| 0.4018 | 8.3279 | 508 | 0.7977 | 0.4764 | 0.7977 | 0.8931 |
| 0.4018 | 8.3607 | 510 | 0.8109 | 0.4688 | 0.8109 | 0.9005 |
| 0.4018 | 8.3934 | 512 | 0.8169 | 0.4900 | 0.8169 | 0.9038 |
| 0.4018 | 8.4262 | 514 | 0.8289 | 0.4866 | 0.8289 | 0.9104 |
| 0.4018 | 8.4590 | 516 | 0.8424 | 0.4866 | 0.8424 | 0.9178 |
| 0.4018 | 8.4918 | 518 | 0.8588 | 0.4873 | 0.8588 | 0.9267 |
| 0.4018 | 8.5246 | 520 | 0.8678 | 0.4873 | 0.8678 | 0.9316 |
| 0.4018 | 8.5574 | 522 | 0.8688 | 0.4603 | 0.8688 | 0.9321 |
| 0.4018 | 8.5902 | 524 | 0.8647 | 0.4590 | 0.8647 | 0.9299 |
| 0.4018 | 8.6230 | 526 | 0.8662 | 0.4918 | 0.8662 | 0.9307 |
| 0.4018 | 8.6557 | 528 | 0.8631 | 0.4964 | 0.8631 | 0.9291 |
| 0.4018 | 8.6885 | 530 | 0.8562 | 0.4964 | 0.8562 | 0.9253 |
| 0.4018 | 8.7213 | 532 | 0.8489 | 0.4896 | 0.8489 | 0.9213 |
| 0.4018 | 8.7541 | 534 | 0.8452 | 0.4952 | 0.8452 | 0.9193 |
| 0.4018 | 8.7869 | 536 | 0.8444 | 0.5050 | 0.8444 | 0.9189 |
| 0.4018 | 8.8197 | 538 | 0.8387 | 0.4709 | 0.8387 | 0.9158 |
| 0.4018 | 8.8525 | 540 | 0.8206 | 0.4709 | 0.8206 | 0.9059 |
| 0.4018 | 8.8852 | 542 | 0.7972 | 0.4847 | 0.7972 | 0.8929 |
| 0.4018 | 8.9180 | 544 | 0.7823 | 0.5085 | 0.7823 | 0.8845 |
| 0.4018 | 8.9508 | 546 | 0.7739 | 0.5130 | 0.7739 | 0.8797 |
| 0.4018 | 8.9836 | 548 | 0.7701 | 0.5403 | 0.7701 | 0.8775 |
| 0.4018 | 9.0164 | 550 | 0.7662 | 0.5447 | 0.7662 | 0.8753 |
| 0.4018 | 9.0492 | 552 | 0.7652 | 0.5277 | 0.7652 | 0.8748 |
| 0.4018 | 9.0820 | 554 | 0.7683 | 0.5277 | 0.7683 | 0.8765 |
| 0.4018 | 9.1148 | 556 | 0.7746 | 0.5061 | 0.7746 | 0.8801 |
| 0.4018 | 9.1475 | 558 | 0.7778 | 0.5061 | 0.7778 | 0.8819 |
| 0.4018 | 9.1803 | 560 | 0.7840 | 0.5124 | 0.7840 | 0.8855 |
| 0.4018 | 9.2131 | 562 | 0.7890 | 0.5206 | 0.7890 | 0.8883 |
| 0.4018 | 9.2459 | 564 | 0.7895 | 0.5087 | 0.7895 | 0.8885 |
| 0.4018 | 9.2787 | 566 | 0.7906 | 0.5110 | 0.7906 | 0.8892 |
| 0.4018 | 9.3115 | 568 | 0.7933 | 0.5038 | 0.7933 | 0.8907 |
| 0.4018 | 9.3443 | 570 | 0.7981 | 0.5221 | 0.7981 | 0.8934 |
| 0.4018 | 9.3770 | 572 | 0.8034 | 0.5279 | 0.8034 | 0.8963 |
| 0.4018 | 9.4098 | 574 | 0.8083 | 0.5279 | 0.8083 | 0.8991 |
| 0.4018 | 9.4426 | 576 | 0.8119 | 0.5183 | 0.8119 | 0.9010 |
| 0.4018 | 9.4754 | 578 | 0.8143 | 0.5183 | 0.8143 | 0.9024 |
| 0.4018 | 9.5082 | 580 | 0.8164 | 0.5183 | 0.8164 | 0.9035 |
| 0.4018 | 9.5410 | 582 | 0.8174 | 0.5402 | 0.8174 | 0.9041 |
| 0.4018 | 9.5738 | 584 | 0.8175 | 0.5268 | 0.8175 | 0.9041 |
| 0.4018 | 9.6066 | 586 | 0.8184 | 0.5253 | 0.8184 | 0.9046 |
| 0.4018 | 9.6393 | 588 | 0.8209 | 0.5118 | 0.8209 | 0.9060 |
| 0.4018 | 9.6721 | 590 | 0.8248 | 0.5050 | 0.8248 | 0.9082 |
| 0.4018 | 9.7049 | 592 | 0.8258 | 0.5050 | 0.8258 | 0.9087 |
| 0.4018 | 9.7377 | 594 | 0.8243 | 0.5050 | 0.8243 | 0.9079 |
| 0.4018 | 9.7705 | 596 | 0.8215 | 0.5118 | 0.8215 | 0.9064 |
| 0.4018 | 9.8033 | 598 | 0.8200 | 0.5186 | 0.8200 | 0.9056 |
| 0.4018 | 9.8361 | 600 | 0.8194 | 0.5253 | 0.8194 | 0.9052 |
| 0.4018 | 9.8689 | 602 | 0.8186 | 0.5253 | 0.8186 | 0.9048 |
| 0.4018 | 9.9016 | 604 | 0.8176 | 0.5253 | 0.8176 | 0.9042 |
| 0.4018 | 9.9344 | 606 | 0.8166 | 0.5321 | 0.8166 | 0.9037 |
| 0.4018 | 9.9672 | 608 | 0.8160 | 0.5321 | 0.8160 | 0.9034 |
| 0.4018 | 10.0 | 610 | 0.8157 | 0.5321 | 0.8157 | 0.9032 |
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_run1_AugV5_k12_task2_organization
Base model
aubmindlab/bert-base-arabertv02