Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task3_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: 0.4598
- Qwk: 0.4536
- Mse: 0.4598
- Rmse: 0.6781
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 | 3.4817 | -0.0066 | 3.4817 | 1.8659 |
| No log | 0.0656 | 4 | 1.7809 | -0.0070 | 1.7809 | 1.3345 |
| No log | 0.0984 | 6 | 1.2499 | 0.0294 | 1.2499 | 1.1180 |
| No log | 0.1311 | 8 | 0.7278 | 0.0877 | 0.7278 | 0.8531 |
| No log | 0.1639 | 10 | 0.5922 | 0.0569 | 0.5922 | 0.7695 |
| No log | 0.1967 | 12 | 0.6267 | 0.0556 | 0.6267 | 0.7917 |
| No log | 0.2295 | 14 | 1.3841 | 0.0571 | 1.3841 | 1.1765 |
| No log | 0.2623 | 16 | 1.4961 | 0.0530 | 1.4961 | 1.2231 |
| No log | 0.2951 | 18 | 1.0130 | 0.0345 | 1.0130 | 1.0065 |
| No log | 0.3279 | 20 | 0.6682 | 0.2970 | 0.6682 | 0.8174 |
| No log | 0.3607 | 22 | 0.6324 | 0.0 | 0.6324 | 0.7952 |
| No log | 0.3934 | 24 | 0.6134 | 0.0 | 0.6134 | 0.7832 |
| No log | 0.4262 | 26 | 0.5538 | 0.0 | 0.5538 | 0.7442 |
| No log | 0.4590 | 28 | 0.5810 | 0.0569 | 0.5810 | 0.7622 |
| No log | 0.4918 | 30 | 0.7427 | 0.1289 | 0.7427 | 0.8618 |
| No log | 0.5246 | 32 | 1.0811 | 0.0345 | 1.0811 | 1.0398 |
| No log | 0.5574 | 34 | 1.9357 | 0.0130 | 1.9357 | 1.3913 |
| No log | 0.5902 | 36 | 1.5936 | 0.0255 | 1.5936 | 1.2624 |
| No log | 0.6230 | 38 | 0.8366 | 0.0947 | 0.8366 | 0.9147 |
| No log | 0.6557 | 40 | 0.5621 | 0.0 | 0.5621 | 0.7497 |
| No log | 0.6885 | 42 | 0.5743 | 0.0 | 0.5743 | 0.7578 |
| No log | 0.7213 | 44 | 0.6108 | 0.0 | 0.6108 | 0.7815 |
| No log | 0.7541 | 46 | 0.6148 | 0.1884 | 0.6148 | 0.7841 |
| No log | 0.7869 | 48 | 0.6416 | 0.3778 | 0.6416 | 0.8010 |
| No log | 0.8197 | 50 | 0.7271 | 0.2208 | 0.7271 | 0.8527 |
| No log | 0.8525 | 52 | 0.6944 | 0.3242 | 0.6944 | 0.8333 |
| No log | 0.8852 | 54 | 0.9028 | 0.1870 | 0.9028 | 0.9502 |
| No log | 0.9180 | 56 | 0.7058 | 0.3607 | 0.7058 | 0.8401 |
| No log | 0.9508 | 58 | 0.5607 | 0.3684 | 0.5607 | 0.7488 |
| No log | 0.9836 | 60 | 0.5800 | 0.3978 | 0.5800 | 0.7616 |
| No log | 1.0164 | 62 | 0.5578 | 0.3778 | 0.5578 | 0.7469 |
| No log | 1.0492 | 64 | 0.7610 | 0.2281 | 0.7610 | 0.8723 |
| No log | 1.0820 | 66 | 0.8670 | 0.2000 | 0.8670 | 0.9312 |
| No log | 1.1148 | 68 | 0.6853 | 0.2593 | 0.6853 | 0.8278 |
| No log | 1.1475 | 70 | 0.5524 | 0.2418 | 0.5524 | 0.7432 |
| No log | 1.1803 | 72 | 0.5795 | 0.2201 | 0.5795 | 0.7612 |
| No log | 1.2131 | 74 | 0.7120 | 0.2511 | 0.7120 | 0.8438 |
| No log | 1.2459 | 76 | 0.6703 | 0.3143 | 0.6703 | 0.8187 |
| No log | 1.2787 | 78 | 0.5369 | 0.2533 | 0.5369 | 0.7328 |
| No log | 1.3115 | 80 | 0.7049 | 0.2762 | 0.7049 | 0.8396 |
| No log | 1.3443 | 82 | 1.1540 | 0.0571 | 1.1540 | 1.0743 |
| No log | 1.3770 | 84 | 0.8168 | 0.3021 | 0.8168 | 0.9037 |
| No log | 1.4098 | 86 | 0.5969 | 0.1111 | 0.5969 | 0.7726 |
| No log | 1.4426 | 88 | 0.6122 | 0.2000 | 0.6122 | 0.7825 |
| No log | 1.4754 | 90 | 0.6471 | 0.2766 | 0.6471 | 0.8044 |
| No log | 1.5082 | 92 | 0.8531 | 0.2184 | 0.8531 | 0.9237 |
| No log | 1.5410 | 94 | 0.6763 | 0.1705 | 0.6763 | 0.8224 |
| No log | 1.5738 | 96 | 0.5742 | 0.3757 | 0.5742 | 0.7578 |
| No log | 1.6066 | 98 | 0.6765 | 0.2577 | 0.6765 | 0.8225 |
| No log | 1.6393 | 100 | 0.5091 | 0.3086 | 0.5091 | 0.7135 |
| No log | 1.6721 | 102 | 0.7683 | 0.2222 | 0.7683 | 0.8765 |
| No log | 1.7049 | 104 | 0.6296 | 0.2688 | 0.6296 | 0.7935 |
| No log | 1.7377 | 106 | 0.5034 | 0.2105 | 0.5034 | 0.7095 |
| No log | 1.7705 | 108 | 0.5106 | 0.2105 | 0.5106 | 0.7146 |
| No log | 1.8033 | 110 | 0.5819 | 0.3216 | 0.5819 | 0.7628 |
| No log | 1.8361 | 112 | 0.8530 | 0.1934 | 0.8530 | 0.9236 |
| No log | 1.8689 | 114 | 0.7430 | 0.2000 | 0.7430 | 0.8620 |
| No log | 1.9016 | 116 | 0.4821 | 0.1329 | 0.4821 | 0.6943 |
| No log | 1.9344 | 118 | 0.7775 | 0.2681 | 0.7775 | 0.8817 |
| No log | 1.9672 | 120 | 0.8698 | 0.2653 | 0.8698 | 0.9326 |
| No log | 2.0 | 122 | 0.5849 | 0.3488 | 0.5849 | 0.7648 |
| No log | 2.0328 | 124 | 0.4895 | 0.1141 | 0.4895 | 0.6997 |
| No log | 2.0656 | 126 | 0.5340 | 0.3659 | 0.5340 | 0.7308 |
| No log | 2.0984 | 128 | 0.5956 | 0.3297 | 0.5956 | 0.7718 |
| No log | 2.1311 | 130 | 0.5238 | 0.1899 | 0.5238 | 0.7237 |
| No log | 2.1639 | 132 | 0.5729 | 0.3533 | 0.5729 | 0.7569 |
| No log | 2.1967 | 134 | 0.5316 | 0.2663 | 0.5316 | 0.7291 |
| No log | 2.2295 | 136 | 0.6007 | 0.2917 | 0.6007 | 0.7751 |
| No log | 2.2623 | 138 | 0.5871 | 0.2350 | 0.5871 | 0.7662 |
| No log | 2.2951 | 140 | 0.5491 | 0.2558 | 0.5491 | 0.7410 |
| No log | 2.3279 | 142 | 0.5303 | 0.2795 | 0.5303 | 0.7282 |
| No log | 2.3607 | 144 | 0.5291 | 0.2350 | 0.5291 | 0.7274 |
| No log | 2.3934 | 146 | 0.4905 | 0.3103 | 0.4905 | 0.7004 |
| No log | 2.4262 | 148 | 0.4741 | 0.3591 | 0.4741 | 0.6885 |
| No log | 2.4590 | 150 | 0.5017 | 0.4682 | 0.5017 | 0.7083 |
| No log | 2.4918 | 152 | 0.4721 | 0.3295 | 0.4721 | 0.6871 |
| No log | 2.5246 | 154 | 0.5161 | 0.2917 | 0.5161 | 0.7184 |
| No log | 2.5574 | 156 | 0.5173 | 0.4872 | 0.5173 | 0.7192 |
| No log | 2.5902 | 158 | 0.6608 | 0.4439 | 0.6608 | 0.8129 |
| No log | 2.6230 | 160 | 0.5538 | 0.48 | 0.5538 | 0.7442 |
| No log | 2.6557 | 162 | 0.5874 | 0.3982 | 0.5874 | 0.7664 |
| No log | 2.6885 | 164 | 0.6162 | 0.3886 | 0.6162 | 0.7850 |
| No log | 2.7213 | 166 | 0.5125 | 0.3333 | 0.5125 | 0.7159 |
| No log | 2.7541 | 168 | 0.5198 | 0.3191 | 0.5198 | 0.7209 |
| No log | 2.7869 | 170 | 0.5784 | 0.4167 | 0.5784 | 0.7605 |
| No log | 2.8197 | 172 | 0.5619 | 0.3469 | 0.5619 | 0.7496 |
| No log | 2.8525 | 174 | 0.5568 | 0.3913 | 0.5568 | 0.7462 |
| No log | 2.8852 | 176 | 0.5379 | 0.4023 | 0.5379 | 0.7334 |
| No log | 2.9180 | 178 | 0.5168 | 0.3258 | 0.5168 | 0.7189 |
| No log | 2.9508 | 180 | 0.5484 | 0.3224 | 0.5484 | 0.7406 |
| No log | 2.9836 | 182 | 0.5068 | 0.3149 | 0.5068 | 0.7119 |
| No log | 3.0164 | 184 | 0.5139 | 0.3149 | 0.5139 | 0.7169 |
| No log | 3.0492 | 186 | 0.5458 | 0.2967 | 0.5458 | 0.7388 |
| No log | 3.0820 | 188 | 0.5516 | 0.3636 | 0.5516 | 0.7427 |
| No log | 3.1148 | 190 | 0.5811 | 0.3371 | 0.5811 | 0.7623 |
| No log | 3.1475 | 192 | 0.5813 | 0.3371 | 0.5813 | 0.7624 |
| No log | 3.1803 | 194 | 0.6103 | 0.3371 | 0.6103 | 0.7812 |
| No log | 3.2131 | 196 | 0.7484 | 0.3043 | 0.7484 | 0.8651 |
| No log | 3.2459 | 198 | 0.6197 | 0.3412 | 0.6197 | 0.7872 |
| No log | 3.2787 | 200 | 0.5967 | 0.2189 | 0.5967 | 0.7724 |
| No log | 3.3115 | 202 | 0.7016 | 0.2746 | 0.7016 | 0.8376 |
| No log | 3.3443 | 204 | 0.6424 | 0.3231 | 0.6424 | 0.8015 |
| No log | 3.3770 | 206 | 0.5772 | 0.3000 | 0.5772 | 0.7598 |
| No log | 3.4098 | 208 | 0.5538 | 0.2707 | 0.5538 | 0.7442 |
| No log | 3.4426 | 210 | 0.5375 | 0.2471 | 0.5375 | 0.7331 |
| No log | 3.4754 | 212 | 0.5875 | 0.3295 | 0.5875 | 0.7665 |
| No log | 3.5082 | 214 | 0.5149 | 0.3418 | 0.5149 | 0.7176 |
| No log | 3.5410 | 216 | 0.6055 | 0.2986 | 0.6055 | 0.7781 |
| No log | 3.5738 | 218 | 0.5127 | 0.3171 | 0.5127 | 0.7161 |
| No log | 3.6066 | 220 | 0.4825 | 0.4074 | 0.4825 | 0.6946 |
| No log | 3.6393 | 222 | 0.5364 | 0.2485 | 0.5364 | 0.7324 |
| No log | 3.6721 | 224 | 0.5696 | 0.2444 | 0.5696 | 0.7547 |
| No log | 3.7049 | 226 | 0.5208 | 0.3000 | 0.5208 | 0.7216 |
| No log | 3.7377 | 228 | 0.5064 | 0.4286 | 0.5064 | 0.7116 |
| No log | 3.7705 | 230 | 0.6872 | 0.28 | 0.6872 | 0.8290 |
| No log | 3.8033 | 232 | 0.6749 | 0.2990 | 0.6749 | 0.8215 |
| No log | 3.8361 | 234 | 0.5281 | 0.3898 | 0.5281 | 0.7267 |
| No log | 3.8689 | 236 | 0.7272 | 0.3514 | 0.7272 | 0.8528 |
| No log | 3.9016 | 238 | 0.6082 | 0.36 | 0.6082 | 0.7799 |
| No log | 3.9344 | 240 | 0.4863 | 0.3054 | 0.4863 | 0.6974 |
| No log | 3.9672 | 242 | 0.5834 | 0.3299 | 0.5834 | 0.7638 |
| No log | 4.0 | 244 | 0.5033 | 0.3103 | 0.5033 | 0.7094 |
| No log | 4.0328 | 246 | 0.4363 | 0.3377 | 0.4363 | 0.6605 |
| No log | 4.0656 | 248 | 0.4328 | 0.3377 | 0.4328 | 0.6579 |
| No log | 4.0984 | 250 | 0.4327 | 0.2941 | 0.4327 | 0.6578 |
| No log | 4.1311 | 252 | 0.4798 | 0.3086 | 0.4798 | 0.6927 |
| No log | 4.1639 | 254 | 0.4712 | 0.3333 | 0.4712 | 0.6864 |
| No log | 4.1967 | 256 | 0.4708 | 0.4227 | 0.4708 | 0.6861 |
| No log | 4.2295 | 258 | 0.4791 | 0.3927 | 0.4791 | 0.6922 |
| No log | 4.2623 | 260 | 0.4793 | 0.3412 | 0.4793 | 0.6923 |
| No log | 4.2951 | 262 | 0.5222 | 0.4105 | 0.5222 | 0.7226 |
| No log | 4.3279 | 264 | 0.4540 | 0.3374 | 0.4540 | 0.6738 |
| No log | 4.3607 | 266 | 0.4620 | 0.3846 | 0.4620 | 0.6797 |
| No log | 4.3934 | 268 | 0.4657 | 0.4917 | 0.4657 | 0.6824 |
| No log | 4.4262 | 270 | 0.4946 | 0.3778 | 0.4946 | 0.7033 |
| No log | 4.4590 | 272 | 0.5850 | 0.36 | 0.5850 | 0.7648 |
| No log | 4.4918 | 274 | 0.4994 | 0.3295 | 0.4994 | 0.7067 |
| No log | 4.5246 | 276 | 0.4787 | 0.3136 | 0.4787 | 0.6919 |
| No log | 4.5574 | 278 | 0.4827 | 0.3374 | 0.4827 | 0.6947 |
| No log | 4.5902 | 280 | 0.5165 | 0.2941 | 0.5165 | 0.7187 |
| No log | 4.6230 | 282 | 0.4857 | 0.3374 | 0.4857 | 0.6969 |
| No log | 4.6557 | 284 | 0.4874 | 0.3374 | 0.4874 | 0.6982 |
| No log | 4.6885 | 286 | 0.4876 | 0.3374 | 0.4876 | 0.6983 |
| No log | 4.7213 | 288 | 0.5362 | 0.4227 | 0.5362 | 0.7323 |
| No log | 4.7541 | 290 | 0.5915 | 0.4343 | 0.5915 | 0.7691 |
| No log | 4.7869 | 292 | 0.5041 | 0.2809 | 0.5041 | 0.7100 |
| No log | 4.8197 | 294 | 0.5801 | 0.3778 | 0.5801 | 0.7617 |
| No log | 4.8525 | 296 | 0.5877 | 0.3778 | 0.5877 | 0.7666 |
| No log | 4.8852 | 298 | 0.5144 | 0.2889 | 0.5144 | 0.7172 |
| No log | 4.9180 | 300 | 0.6045 | 0.4118 | 0.6045 | 0.7775 |
| No log | 4.9508 | 302 | 0.5585 | 0.3641 | 0.5585 | 0.7473 |
| No log | 4.9836 | 304 | 0.5402 | 0.2865 | 0.5402 | 0.7350 |
| No log | 5.0164 | 306 | 0.5393 | 0.2670 | 0.5393 | 0.7344 |
| No log | 5.0492 | 308 | 0.5444 | 0.3520 | 0.5444 | 0.7378 |
| No log | 5.0820 | 310 | 0.5924 | 0.2889 | 0.5924 | 0.7697 |
| No log | 5.1148 | 312 | 0.5468 | 0.3182 | 0.5468 | 0.7394 |
| No log | 5.1475 | 314 | 0.5217 | 0.3966 | 0.5217 | 0.7223 |
| No log | 5.1803 | 316 | 0.5588 | 0.4563 | 0.5588 | 0.7475 |
| No log | 5.2131 | 318 | 0.4922 | 0.3966 | 0.4922 | 0.7015 |
| No log | 5.2459 | 320 | 0.4931 | 0.3913 | 0.4931 | 0.7022 |
| No log | 5.2787 | 322 | 0.5215 | 0.3829 | 0.5215 | 0.7221 |
| No log | 5.3115 | 324 | 0.4680 | 0.4884 | 0.4680 | 0.6841 |
| No log | 5.3443 | 326 | 0.5945 | 0.3769 | 0.5945 | 0.7710 |
| No log | 5.3770 | 328 | 0.7647 | 0.2548 | 0.7647 | 0.8745 |
| No log | 5.4098 | 330 | 0.6925 | 0.2566 | 0.6925 | 0.8322 |
| No log | 5.4426 | 332 | 0.5003 | 0.4222 | 0.5003 | 0.7073 |
| No log | 5.4754 | 334 | 0.4778 | 0.4 | 0.4778 | 0.6913 |
| No log | 5.5082 | 336 | 0.4851 | 0.3580 | 0.4851 | 0.6965 |
| No log | 5.5410 | 338 | 0.4883 | 0.3533 | 0.4883 | 0.6988 |
| No log | 5.5738 | 340 | 0.4561 | 0.2432 | 0.4561 | 0.6753 |
| No log | 5.6066 | 342 | 0.4755 | 0.3631 | 0.4755 | 0.6896 |
| No log | 5.6393 | 344 | 0.5807 | 0.4098 | 0.5807 | 0.7620 |
| No log | 5.6721 | 346 | 0.6192 | 0.3498 | 0.6192 | 0.7869 |
| No log | 5.7049 | 348 | 0.5242 | 0.3846 | 0.5242 | 0.7240 |
| No log | 5.7377 | 350 | 0.4609 | 0.2432 | 0.4609 | 0.6789 |
| No log | 5.7705 | 352 | 0.4606 | 0.3548 | 0.4606 | 0.6787 |
| No log | 5.8033 | 354 | 0.4655 | 0.3548 | 0.4655 | 0.6823 |
| No log | 5.8361 | 356 | 0.4693 | 0.2848 | 0.4693 | 0.6851 |
| No log | 5.8689 | 358 | 0.5269 | 0.2273 | 0.5269 | 0.7259 |
| No log | 5.9016 | 360 | 0.5205 | 0.2914 | 0.5205 | 0.7214 |
| No log | 5.9344 | 362 | 0.4695 | 0.2941 | 0.4695 | 0.6852 |
| No log | 5.9672 | 364 | 0.5113 | 0.3412 | 0.5113 | 0.7151 |
| No log | 6.0 | 366 | 0.5657 | 0.3953 | 0.5657 | 0.7522 |
| No log | 6.0328 | 368 | 0.5299 | 0.3953 | 0.5299 | 0.7279 |
| No log | 6.0656 | 370 | 0.4768 | 0.35 | 0.4768 | 0.6905 |
| No log | 6.0984 | 372 | 0.4957 | 0.3103 | 0.4957 | 0.7041 |
| No log | 6.1311 | 374 | 0.5247 | 0.3371 | 0.5247 | 0.7244 |
| No log | 6.1639 | 376 | 0.4808 | 0.3939 | 0.4808 | 0.6934 |
| No log | 6.1967 | 378 | 0.4600 | 0.3374 | 0.4600 | 0.6782 |
| No log | 6.2295 | 380 | 0.4716 | 0.3939 | 0.4716 | 0.6867 |
| No log | 6.2623 | 382 | 0.4507 | 0.3810 | 0.4507 | 0.6713 |
| No log | 6.2951 | 384 | 0.4347 | 0.4556 | 0.4347 | 0.6593 |
| No log | 6.3279 | 386 | 0.4429 | 0.4620 | 0.4429 | 0.6655 |
| No log | 6.3607 | 388 | 0.4646 | 0.4943 | 0.4646 | 0.6816 |
| No log | 6.3934 | 390 | 0.4453 | 0.4860 | 0.4453 | 0.6673 |
| No log | 6.4262 | 392 | 0.4147 | 0.4667 | 0.4147 | 0.6439 |
| No log | 6.4590 | 394 | 0.4986 | 0.4652 | 0.4986 | 0.7061 |
| No log | 6.4918 | 396 | 0.5220 | 0.4227 | 0.5220 | 0.7225 |
| No log | 6.5246 | 398 | 0.4431 | 0.4157 | 0.4431 | 0.6656 |
| No log | 6.5574 | 400 | 0.4051 | 0.4667 | 0.4051 | 0.6364 |
| No log | 6.5902 | 402 | 0.4216 | 0.4091 | 0.4216 | 0.6493 |
| No log | 6.6230 | 404 | 0.4519 | 0.4943 | 0.4519 | 0.6722 |
| No log | 6.6557 | 406 | 0.4333 | 0.4091 | 0.4333 | 0.6583 |
| No log | 6.6885 | 408 | 0.4245 | 0.4884 | 0.4245 | 0.6516 |
| No log | 6.7213 | 410 | 0.4390 | 0.3757 | 0.4390 | 0.6626 |
| No log | 6.7541 | 412 | 0.4561 | 0.3708 | 0.4561 | 0.6753 |
| No log | 6.7869 | 414 | 0.4726 | 0.3708 | 0.4726 | 0.6875 |
| No log | 6.8197 | 416 | 0.4717 | 0.4475 | 0.4717 | 0.6868 |
| No log | 6.8525 | 418 | 0.4517 | 0.4894 | 0.4517 | 0.6721 |
| No log | 6.8852 | 420 | 0.4540 | 0.4409 | 0.4540 | 0.6738 |
| No log | 6.9180 | 422 | 0.4643 | 0.5080 | 0.4643 | 0.6814 |
| No log | 6.9508 | 424 | 0.4547 | 0.4348 | 0.4547 | 0.6743 |
| No log | 6.9836 | 426 | 0.4449 | 0.4819 | 0.4449 | 0.6670 |
| No log | 7.0164 | 428 | 0.4768 | 0.3708 | 0.4768 | 0.6905 |
| No log | 7.0492 | 430 | 0.4930 | 0.3778 | 0.4930 | 0.7021 |
| No log | 7.0820 | 432 | 0.4761 | 0.3829 | 0.4761 | 0.6900 |
| No log | 7.1148 | 434 | 0.4471 | 0.4475 | 0.4471 | 0.6687 |
| No log | 7.1475 | 436 | 0.4395 | 0.5165 | 0.4395 | 0.6629 |
| No log | 7.1803 | 438 | 0.4365 | 0.4222 | 0.4365 | 0.6607 |
| No log | 7.2131 | 440 | 0.4404 | 0.5080 | 0.4404 | 0.6636 |
| No log | 7.2459 | 442 | 0.4382 | 0.5165 | 0.4382 | 0.6620 |
| No log | 7.2787 | 444 | 0.4360 | 0.4468 | 0.4360 | 0.6603 |
| No log | 7.3115 | 446 | 0.4352 | 0.4098 | 0.4352 | 0.6597 |
| No log | 7.3443 | 448 | 0.4458 | 0.4783 | 0.4458 | 0.6676 |
| No log | 7.3770 | 450 | 0.4547 | 0.4033 | 0.4547 | 0.6743 |
| No log | 7.4098 | 452 | 0.4413 | 0.4667 | 0.4413 | 0.6643 |
| No log | 7.4426 | 454 | 0.4502 | 0.4348 | 0.4502 | 0.6710 |
| No log | 7.4754 | 456 | 0.4469 | 0.4348 | 0.4469 | 0.6685 |
| No log | 7.5082 | 458 | 0.4464 | 0.4595 | 0.4464 | 0.6681 |
| No log | 7.5410 | 460 | 0.4497 | 0.4652 | 0.4497 | 0.6706 |
| No log | 7.5738 | 462 | 0.4499 | 0.4725 | 0.4499 | 0.6707 |
| No log | 7.6066 | 464 | 0.4555 | 0.4783 | 0.4555 | 0.6749 |
| No log | 7.6393 | 466 | 0.4535 | 0.4783 | 0.4535 | 0.6734 |
| No log | 7.6721 | 468 | 0.4559 | 0.4783 | 0.4559 | 0.6752 |
| No log | 7.7049 | 470 | 0.4590 | 0.4033 | 0.4590 | 0.6775 |
| No log | 7.7377 | 472 | 0.4560 | 0.5056 | 0.4560 | 0.6753 |
| No log | 7.7705 | 474 | 0.4738 | 0.4348 | 0.4738 | 0.6883 |
| No log | 7.8033 | 476 | 0.4830 | 0.4348 | 0.4830 | 0.6950 |
| No log | 7.8361 | 478 | 0.4622 | 0.4286 | 0.4622 | 0.6798 |
| No log | 7.8689 | 480 | 0.4711 | 0.4348 | 0.4711 | 0.6864 |
| No log | 7.9016 | 482 | 0.5371 | 0.3730 | 0.5371 | 0.7329 |
| No log | 7.9344 | 484 | 0.5739 | 0.3267 | 0.5739 | 0.7576 |
| No log | 7.9672 | 486 | 0.5424 | 0.4105 | 0.5424 | 0.7365 |
| No log | 8.0 | 488 | 0.4812 | 0.4033 | 0.4812 | 0.6937 |
| No log | 8.0328 | 490 | 0.4538 | 0.4536 | 0.4538 | 0.6737 |
| No log | 8.0656 | 492 | 0.4563 | 0.4348 | 0.4563 | 0.6755 |
| No log | 8.0984 | 494 | 0.4652 | 0.4348 | 0.4652 | 0.6821 |
| No log | 8.1311 | 496 | 0.4629 | 0.4348 | 0.4629 | 0.6804 |
| No log | 8.1639 | 498 | 0.4577 | 0.4348 | 0.4577 | 0.6765 |
| 0.3761 | 8.1967 | 500 | 0.4486 | 0.4536 | 0.4486 | 0.6698 |
| 0.3761 | 8.2295 | 502 | 0.4560 | 0.4348 | 0.4560 | 0.6753 |
| 0.3761 | 8.2623 | 504 | 0.4535 | 0.4413 | 0.4535 | 0.6734 |
| 0.3761 | 8.2951 | 506 | 0.4495 | 0.3846 | 0.4495 | 0.6704 |
| 0.3761 | 8.3279 | 508 | 0.4464 | 0.4536 | 0.4464 | 0.6681 |
| 0.3761 | 8.3607 | 510 | 0.4481 | 0.4348 | 0.4481 | 0.6694 |
| 0.3761 | 8.3934 | 512 | 0.4653 | 0.5080 | 0.4653 | 0.6822 |
| 0.3761 | 8.4262 | 514 | 0.4642 | 0.5080 | 0.4642 | 0.6813 |
| 0.3761 | 8.4590 | 516 | 0.4514 | 0.4286 | 0.4514 | 0.6719 |
| 0.3761 | 8.4918 | 518 | 0.4518 | 0.4409 | 0.4518 | 0.6721 |
| 0.3761 | 8.5246 | 520 | 0.4561 | 0.4894 | 0.4561 | 0.6754 |
| 0.3761 | 8.5574 | 522 | 0.4571 | 0.4894 | 0.4571 | 0.6761 |
| 0.3761 | 8.5902 | 524 | 0.4578 | 0.4894 | 0.4578 | 0.6766 |
| 0.3761 | 8.6230 | 526 | 0.4647 | 0.4819 | 0.4647 | 0.6817 |
| 0.3761 | 8.6557 | 528 | 0.4699 | 0.3797 | 0.4699 | 0.6855 |
| 0.3761 | 8.6885 | 530 | 0.4622 | 0.4819 | 0.4622 | 0.6798 |
| 0.3761 | 8.7213 | 532 | 0.4561 | 0.4894 | 0.4561 | 0.6754 |
| 0.3761 | 8.7541 | 534 | 0.4517 | 0.4286 | 0.4517 | 0.6721 |
| 0.3761 | 8.7869 | 536 | 0.4517 | 0.4286 | 0.4517 | 0.6721 |
| 0.3761 | 8.8197 | 538 | 0.4524 | 0.4286 | 0.4524 | 0.6726 |
| 0.3761 | 8.8525 | 540 | 0.4526 | 0.4348 | 0.4526 | 0.6727 |
| 0.3761 | 8.8852 | 542 | 0.4497 | 0.4348 | 0.4497 | 0.6706 |
| 0.3761 | 8.9180 | 544 | 0.4487 | 0.4286 | 0.4487 | 0.6698 |
| 0.3761 | 8.9508 | 546 | 0.4504 | 0.4286 | 0.4504 | 0.6711 |
| 0.3761 | 8.9836 | 548 | 0.4520 | 0.4286 | 0.4520 | 0.6723 |
| 0.3761 | 9.0164 | 550 | 0.4563 | 0.4348 | 0.4563 | 0.6755 |
| 0.3761 | 9.0492 | 552 | 0.4681 | 0.5080 | 0.4681 | 0.6842 |
| 0.3761 | 9.0820 | 554 | 0.4834 | 0.5080 | 0.4834 | 0.6953 |
| 0.3761 | 9.1148 | 556 | 0.4893 | 0.5080 | 0.4893 | 0.6995 |
| 0.3761 | 9.1475 | 558 | 0.4820 | 0.5080 | 0.4820 | 0.6942 |
| 0.3761 | 9.1803 | 560 | 0.4737 | 0.5080 | 0.4737 | 0.6883 |
| 0.3761 | 9.2131 | 562 | 0.4630 | 0.4348 | 0.4630 | 0.6804 |
| 0.3761 | 9.2459 | 564 | 0.4584 | 0.4409 | 0.4584 | 0.6770 |
| 0.3761 | 9.2787 | 566 | 0.4621 | 0.3446 | 0.4621 | 0.6798 |
| 0.3761 | 9.3115 | 568 | 0.4717 | 0.3966 | 0.4717 | 0.6868 |
| 0.3761 | 9.3443 | 570 | 0.4741 | 0.4348 | 0.4741 | 0.6885 |
| 0.3761 | 9.3770 | 572 | 0.4694 | 0.4023 | 0.4694 | 0.6851 |
| 0.3761 | 9.4098 | 574 | 0.4664 | 0.4023 | 0.4664 | 0.6829 |
| 0.3761 | 9.4426 | 576 | 0.4623 | 0.3446 | 0.4623 | 0.6799 |
| 0.3761 | 9.4754 | 578 | 0.4605 | 0.4409 | 0.4605 | 0.6786 |
| 0.3761 | 9.5082 | 580 | 0.4620 | 0.4286 | 0.4620 | 0.6797 |
| 0.3761 | 9.5410 | 582 | 0.4658 | 0.4348 | 0.4658 | 0.6825 |
| 0.3761 | 9.5738 | 584 | 0.4709 | 0.4348 | 0.4709 | 0.6862 |
| 0.3761 | 9.6066 | 586 | 0.4731 | 0.4348 | 0.4731 | 0.6878 |
| 0.3761 | 9.6393 | 588 | 0.4753 | 0.4348 | 0.4753 | 0.6894 |
| 0.3761 | 9.6721 | 590 | 0.4735 | 0.4348 | 0.4735 | 0.6881 |
| 0.3761 | 9.7049 | 592 | 0.4688 | 0.4348 | 0.4688 | 0.6847 |
| 0.3761 | 9.7377 | 594 | 0.4648 | 0.4348 | 0.4648 | 0.6818 |
| 0.3761 | 9.7705 | 596 | 0.4622 | 0.4286 | 0.4622 | 0.6798 |
| 0.3761 | 9.8033 | 598 | 0.4607 | 0.4286 | 0.4607 | 0.6788 |
| 0.3761 | 9.8361 | 600 | 0.4601 | 0.4409 | 0.4601 | 0.6783 |
| 0.3761 | 9.8689 | 602 | 0.4597 | 0.4409 | 0.4597 | 0.6780 |
| 0.3761 | 9.9016 | 604 | 0.4597 | 0.4409 | 0.4597 | 0.6780 |
| 0.3761 | 9.9344 | 606 | 0.4597 | 0.4409 | 0.4597 | 0.6780 |
| 0.3761 | 9.9672 | 608 | 0.4597 | 0.4536 | 0.4597 | 0.6780 |
| 0.3761 | 10.0 | 610 | 0.4598 | 0.4536 | 0.4598 | 0.6781 |
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_run3_AugV5_k13_task3_organization
Base model
aubmindlab/bert-base-arabertv02