Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k14_task5_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_k14_task5_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_k14_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k14_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k14_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k14_task5_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: 1.0363
- Qwk: 0.6078
- Mse: 1.0363
- Rmse: 1.0180
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 | 0.0377 | 2 | 2.4302 | -0.0410 | 2.4302 | 1.5589 |
| No log | 0.0755 | 4 | 1.7563 | 0.0317 | 1.7563 | 1.3252 |
| No log | 0.1132 | 6 | 1.5756 | 0.1301 | 1.5756 | 1.2552 |
| No log | 0.1509 | 8 | 1.7909 | 0.1240 | 1.7909 | 1.3383 |
| No log | 0.1887 | 10 | 1.8738 | -0.0350 | 1.8738 | 1.3689 |
| No log | 0.2264 | 12 | 1.7399 | 0.0816 | 1.7399 | 1.3190 |
| No log | 0.2642 | 14 | 1.7046 | 0.0035 | 1.7046 | 1.3056 |
| No log | 0.3019 | 16 | 1.5997 | 0.0666 | 1.5997 | 1.2648 |
| No log | 0.3396 | 18 | 1.3947 | 0.1399 | 1.3947 | 1.1810 |
| No log | 0.3774 | 20 | 1.3641 | 0.2847 | 1.3641 | 1.1679 |
| No log | 0.4151 | 22 | 1.2945 | 0.2941 | 1.2945 | 1.1378 |
| No log | 0.4528 | 24 | 1.2230 | 0.3055 | 1.2230 | 1.1059 |
| No log | 0.4906 | 26 | 1.2538 | 0.3505 | 1.2538 | 1.1197 |
| No log | 0.5283 | 28 | 1.4045 | 0.4174 | 1.4045 | 1.1851 |
| No log | 0.5660 | 30 | 1.2491 | 0.4400 | 1.2491 | 1.1176 |
| No log | 0.6038 | 32 | 1.0746 | 0.4574 | 1.0746 | 1.0366 |
| No log | 0.6415 | 34 | 1.0371 | 0.5164 | 1.0371 | 1.0184 |
| No log | 0.6792 | 36 | 1.0689 | 0.4770 | 1.0689 | 1.0339 |
| No log | 0.7170 | 38 | 1.1443 | 0.4633 | 1.1443 | 1.0697 |
| No log | 0.7547 | 40 | 1.3184 | 0.4536 | 1.3184 | 1.1482 |
| No log | 0.7925 | 42 | 1.1781 | 0.4266 | 1.1781 | 1.0854 |
| No log | 0.8302 | 44 | 1.1205 | 0.4021 | 1.1205 | 1.0585 |
| No log | 0.8679 | 46 | 1.2311 | 0.3989 | 1.2311 | 1.1095 |
| No log | 0.9057 | 48 | 1.2360 | 0.3836 | 1.2360 | 1.1118 |
| No log | 0.9434 | 50 | 1.3699 | 0.4282 | 1.3699 | 1.1704 |
| No log | 0.9811 | 52 | 1.4021 | 0.4226 | 1.4021 | 1.1841 |
| No log | 1.0189 | 54 | 1.3713 | 0.4550 | 1.3713 | 1.1710 |
| No log | 1.0566 | 56 | 1.2177 | 0.4214 | 1.2177 | 1.1035 |
| No log | 1.0943 | 58 | 1.0999 | 0.4427 | 1.0999 | 1.0487 |
| No log | 1.1321 | 60 | 1.0938 | 0.4177 | 1.0938 | 1.0458 |
| No log | 1.1698 | 62 | 1.0838 | 0.4743 | 1.0838 | 1.0410 |
| No log | 1.2075 | 64 | 1.0917 | 0.4792 | 1.0917 | 1.0448 |
| No log | 1.2453 | 66 | 1.0907 | 0.4882 | 1.0907 | 1.0444 |
| No log | 1.2830 | 68 | 1.0764 | 0.4656 | 1.0764 | 1.0375 |
| No log | 1.3208 | 70 | 1.0616 | 0.4882 | 1.0616 | 1.0304 |
| No log | 1.3585 | 72 | 1.0530 | 0.4969 | 1.0530 | 1.0262 |
| No log | 1.3962 | 74 | 1.0792 | 0.4964 | 1.0792 | 1.0389 |
| No log | 1.4340 | 76 | 1.1312 | 0.3508 | 1.1312 | 1.0636 |
| No log | 1.4717 | 78 | 1.0449 | 0.4989 | 1.0449 | 1.0222 |
| No log | 1.5094 | 80 | 1.0420 | 0.5003 | 1.0420 | 1.0208 |
| No log | 1.5472 | 82 | 1.1392 | 0.5265 | 1.1392 | 1.0673 |
| No log | 1.5849 | 84 | 1.1088 | 0.5324 | 1.1088 | 1.0530 |
| No log | 1.6226 | 86 | 0.9729 | 0.5049 | 0.9729 | 0.9864 |
| No log | 1.6604 | 88 | 0.9582 | 0.5417 | 0.9582 | 0.9789 |
| No log | 1.6981 | 90 | 0.9527 | 0.5417 | 0.9527 | 0.9760 |
| No log | 1.7358 | 92 | 0.9367 | 0.5346 | 0.9367 | 0.9679 |
| No log | 1.7736 | 94 | 1.0324 | 0.5438 | 1.0324 | 1.0161 |
| No log | 1.8113 | 96 | 1.2827 | 0.5513 | 1.2827 | 1.1325 |
| No log | 1.8491 | 98 | 1.1980 | 0.5881 | 1.1980 | 1.0945 |
| No log | 1.8868 | 100 | 0.9640 | 0.5627 | 0.9640 | 0.9818 |
| No log | 1.9245 | 102 | 0.9529 | 0.5903 | 0.9529 | 0.9762 |
| No log | 1.9623 | 104 | 1.2070 | 0.5842 | 1.2070 | 1.0986 |
| No log | 2.0 | 106 | 1.2955 | 0.5671 | 1.2955 | 1.1382 |
| No log | 2.0377 | 108 | 1.1418 | 0.5924 | 1.1418 | 1.0686 |
| No log | 2.0755 | 110 | 0.9641 | 0.6214 | 0.9641 | 0.9819 |
| No log | 2.1132 | 112 | 0.8799 | 0.6105 | 0.8799 | 0.9380 |
| No log | 2.1509 | 114 | 1.0243 | 0.6174 | 1.0243 | 1.0121 |
| No log | 2.1887 | 116 | 1.2645 | 0.5546 | 1.2645 | 1.1245 |
| No log | 2.2264 | 118 | 1.4145 | 0.4787 | 1.4145 | 1.1893 |
| No log | 2.2642 | 120 | 1.3666 | 0.4947 | 1.3666 | 1.1690 |
| No log | 2.3019 | 122 | 1.1818 | 0.5724 | 1.1818 | 1.0871 |
| No log | 2.3396 | 124 | 0.9426 | 0.5842 | 0.9426 | 0.9709 |
| No log | 2.3774 | 126 | 0.8459 | 0.5564 | 0.8459 | 0.9197 |
| No log | 2.4151 | 128 | 0.8408 | 0.5714 | 0.8408 | 0.9170 |
| No log | 2.4528 | 130 | 0.8351 | 0.6081 | 0.8351 | 0.9138 |
| No log | 2.4906 | 132 | 1.0113 | 0.6009 | 1.0113 | 1.0056 |
| No log | 2.5283 | 134 | 1.2023 | 0.5817 | 1.2023 | 1.0965 |
| No log | 2.5660 | 136 | 1.2259 | 0.5640 | 1.2259 | 1.1072 |
| No log | 2.6038 | 138 | 1.0219 | 0.6087 | 1.0219 | 1.0109 |
| No log | 2.6415 | 140 | 0.8703 | 0.5855 | 0.8703 | 0.9329 |
| No log | 2.6792 | 142 | 0.8269 | 0.6270 | 0.8269 | 0.9093 |
| No log | 2.7170 | 144 | 0.8249 | 0.6289 | 0.8249 | 0.9083 |
| No log | 2.7547 | 146 | 0.8470 | 0.5806 | 0.8470 | 0.9203 |
| No log | 2.7925 | 148 | 1.0118 | 0.5743 | 1.0118 | 1.0059 |
| No log | 2.8302 | 150 | 1.2112 | 0.5701 | 1.2112 | 1.1006 |
| No log | 2.8679 | 152 | 1.2582 | 0.5734 | 1.2582 | 1.1217 |
| No log | 2.9057 | 154 | 1.0787 | 0.6155 | 1.0787 | 1.0386 |
| No log | 2.9434 | 156 | 0.9624 | 0.6146 | 0.9624 | 0.9810 |
| No log | 2.9811 | 158 | 0.9412 | 0.6144 | 0.9412 | 0.9702 |
| No log | 3.0189 | 160 | 1.0742 | 0.6313 | 1.0742 | 1.0364 |
| No log | 3.0566 | 162 | 1.2465 | 0.6003 | 1.2465 | 1.1165 |
| No log | 3.0943 | 164 | 1.3394 | 0.5771 | 1.3394 | 1.1573 |
| No log | 3.1321 | 166 | 1.3418 | 0.5666 | 1.3418 | 1.1584 |
| No log | 3.1698 | 168 | 1.4277 | 0.5512 | 1.4277 | 1.1949 |
| No log | 3.2075 | 170 | 1.2315 | 0.5824 | 1.2315 | 1.1097 |
| No log | 3.2453 | 172 | 0.9606 | 0.6161 | 0.9606 | 0.9801 |
| No log | 3.2830 | 174 | 0.9599 | 0.5996 | 0.9599 | 0.9798 |
| No log | 3.3208 | 176 | 1.0525 | 0.5899 | 1.0525 | 1.0259 |
| No log | 3.3585 | 178 | 1.1245 | 0.5945 | 1.1245 | 1.0604 |
| No log | 3.3962 | 180 | 1.2313 | 0.5303 | 1.2313 | 1.1096 |
| No log | 3.4340 | 182 | 1.1273 | 0.5734 | 1.1273 | 1.0618 |
| No log | 3.4717 | 184 | 0.9835 | 0.6135 | 0.9835 | 0.9917 |
| No log | 3.5094 | 186 | 0.9900 | 0.6135 | 0.9900 | 0.9950 |
| No log | 3.5472 | 188 | 1.0336 | 0.5963 | 1.0336 | 1.0167 |
| No log | 3.5849 | 190 | 1.1962 | 0.5371 | 1.1962 | 1.0937 |
| No log | 3.6226 | 192 | 1.2395 | 0.4973 | 1.2395 | 1.1133 |
| No log | 3.6604 | 194 | 1.2303 | 0.5460 | 1.2303 | 1.1092 |
| No log | 3.6981 | 196 | 1.1334 | 0.5998 | 1.1334 | 1.0646 |
| No log | 3.7358 | 198 | 0.9102 | 0.6757 | 0.9102 | 0.9541 |
| No log | 3.7736 | 200 | 0.7982 | 0.6944 | 0.7982 | 0.8934 |
| No log | 3.8113 | 202 | 0.8178 | 0.6809 | 0.8178 | 0.9043 |
| No log | 3.8491 | 204 | 0.9400 | 0.6713 | 0.9400 | 0.9695 |
| No log | 3.8868 | 206 | 1.0763 | 0.6284 | 1.0763 | 1.0375 |
| No log | 3.9245 | 208 | 1.1081 | 0.6038 | 1.1081 | 1.0526 |
| No log | 3.9623 | 210 | 0.9669 | 0.6385 | 0.9669 | 0.9833 |
| No log | 4.0 | 212 | 0.8500 | 0.6935 | 0.8500 | 0.9219 |
| No log | 4.0377 | 214 | 0.7846 | 0.6803 | 0.7846 | 0.8858 |
| No log | 4.0755 | 216 | 0.8015 | 0.6925 | 0.8015 | 0.8952 |
| No log | 4.1132 | 218 | 0.9150 | 0.6597 | 0.9150 | 0.9566 |
| No log | 4.1509 | 220 | 1.1898 | 0.5640 | 1.1898 | 1.0908 |
| No log | 4.1887 | 222 | 1.3311 | 0.5514 | 1.3311 | 1.1537 |
| No log | 4.2264 | 224 | 1.3020 | 0.5683 | 1.3020 | 1.1410 |
| No log | 4.2642 | 226 | 1.1722 | 0.5545 | 1.1722 | 1.0827 |
| No log | 4.3019 | 228 | 1.0330 | 0.6398 | 1.0330 | 1.0164 |
| No log | 4.3396 | 230 | 1.0151 | 0.6400 | 1.0151 | 1.0075 |
| No log | 4.3774 | 232 | 1.0820 | 0.6341 | 1.0820 | 1.0402 |
| No log | 4.4151 | 234 | 1.1860 | 0.5621 | 1.1860 | 1.0890 |
| No log | 4.4528 | 236 | 1.2744 | 0.5646 | 1.2744 | 1.1289 |
| No log | 4.4906 | 238 | 1.2716 | 0.5603 | 1.2716 | 1.1277 |
| No log | 4.5283 | 240 | 1.2830 | 0.5603 | 1.2830 | 1.1327 |
| No log | 4.5660 | 242 | 1.3492 | 0.5725 | 1.3492 | 1.1616 |
| No log | 4.6038 | 244 | 1.2578 | 0.5694 | 1.2578 | 1.1215 |
| No log | 4.6415 | 246 | 1.1130 | 0.6086 | 1.1130 | 1.0550 |
| No log | 4.6792 | 248 | 1.0841 | 0.6082 | 1.0841 | 1.0412 |
| No log | 4.7170 | 250 | 1.1667 | 0.5814 | 1.1667 | 1.0801 |
| No log | 4.7547 | 252 | 1.2211 | 0.5693 | 1.2211 | 1.1050 |
| No log | 4.7925 | 254 | 1.2389 | 0.5640 | 1.2389 | 1.1131 |
| No log | 4.8302 | 256 | 1.1695 | 0.5701 | 1.1695 | 1.0815 |
| No log | 4.8679 | 258 | 1.1006 | 0.5764 | 1.1006 | 1.0491 |
| No log | 4.9057 | 260 | 0.9476 | 0.6317 | 0.9476 | 0.9735 |
| No log | 4.9434 | 262 | 0.9033 | 0.6729 | 0.9033 | 0.9504 |
| No log | 4.9811 | 264 | 0.9478 | 0.6533 | 0.9478 | 0.9735 |
| No log | 5.0189 | 266 | 1.0436 | 0.6379 | 1.0436 | 1.0215 |
| No log | 5.0566 | 268 | 1.2215 | 0.5793 | 1.2215 | 1.1052 |
| No log | 5.0943 | 270 | 1.2330 | 0.5783 | 1.2330 | 1.1104 |
| No log | 5.1321 | 272 | 1.0740 | 0.6004 | 1.0740 | 1.0363 |
| No log | 5.1698 | 274 | 0.9131 | 0.6668 | 0.9131 | 0.9556 |
| No log | 5.2075 | 276 | 0.8763 | 0.6860 | 0.8763 | 0.9361 |
| No log | 5.2453 | 278 | 0.9404 | 0.6580 | 0.9404 | 0.9698 |
| No log | 5.2830 | 280 | 1.0659 | 0.6090 | 1.0659 | 1.0324 |
| No log | 5.3208 | 282 | 1.1211 | 0.5880 | 1.1211 | 1.0588 |
| No log | 5.3585 | 284 | 1.0942 | 0.5963 | 1.0942 | 1.0461 |
| No log | 5.3962 | 286 | 0.9803 | 0.6580 | 0.9803 | 0.9901 |
| No log | 5.4340 | 288 | 0.8855 | 0.6515 | 0.8855 | 0.9410 |
| No log | 5.4717 | 290 | 0.8930 | 0.6553 | 0.8930 | 0.9450 |
| No log | 5.5094 | 292 | 0.9527 | 0.6341 | 0.9527 | 0.9761 |
| No log | 5.5472 | 294 | 0.9695 | 0.6492 | 0.9695 | 0.9846 |
| No log | 5.5849 | 296 | 1.0308 | 0.6378 | 1.0308 | 1.0153 |
| No log | 5.6226 | 298 | 1.1114 | 0.5945 | 1.1114 | 1.0542 |
| No log | 5.6604 | 300 | 1.2154 | 0.5518 | 1.2154 | 1.1024 |
| No log | 5.6981 | 302 | 1.3346 | 0.5460 | 1.3346 | 1.1553 |
| No log | 5.7358 | 304 | 1.3624 | 0.5551 | 1.3624 | 1.1672 |
| No log | 5.7736 | 306 | 1.2886 | 0.5675 | 1.2886 | 1.1352 |
| No log | 5.8113 | 308 | 1.1931 | 0.5599 | 1.1931 | 1.0923 |
| No log | 5.8491 | 310 | 1.1026 | 0.6093 | 1.1026 | 1.0500 |
| No log | 5.8868 | 312 | 1.1412 | 0.5965 | 1.1412 | 1.0683 |
| No log | 5.9245 | 314 | 1.2277 | 0.5351 | 1.2277 | 1.1080 |
| No log | 5.9623 | 316 | 1.3514 | 0.5310 | 1.3514 | 1.1625 |
| No log | 6.0 | 318 | 1.3759 | 0.5310 | 1.3759 | 1.1730 |
| No log | 6.0377 | 320 | 1.2830 | 0.5351 | 1.2830 | 1.1327 |
| No log | 6.0755 | 322 | 1.1644 | 0.5559 | 1.1644 | 1.0791 |
| No log | 6.1132 | 324 | 1.0581 | 0.5812 | 1.0581 | 1.0286 |
| No log | 6.1509 | 326 | 1.0478 | 0.5812 | 1.0478 | 1.0236 |
| No log | 6.1887 | 328 | 1.1057 | 0.5690 | 1.1057 | 1.0515 |
| No log | 6.2264 | 330 | 1.1475 | 0.5490 | 1.1475 | 1.0712 |
| No log | 6.2642 | 332 | 1.1650 | 0.5592 | 1.1650 | 1.0793 |
| No log | 6.3019 | 334 | 1.0894 | 0.5560 | 1.0894 | 1.0438 |
| No log | 6.3396 | 336 | 1.0346 | 0.6068 | 1.0346 | 1.0171 |
| No log | 6.3774 | 338 | 0.9968 | 0.6278 | 0.9968 | 0.9984 |
| No log | 6.4151 | 340 | 1.0454 | 0.6150 | 1.0454 | 1.0224 |
| No log | 6.4528 | 342 | 1.0914 | 0.5880 | 1.0914 | 1.0447 |
| No log | 6.4906 | 344 | 1.2011 | 0.5745 | 1.2011 | 1.0960 |
| No log | 6.5283 | 346 | 1.2223 | 0.5481 | 1.2223 | 1.1056 |
| No log | 6.5660 | 348 | 1.1730 | 0.5457 | 1.1730 | 1.0830 |
| No log | 6.6038 | 350 | 1.1069 | 0.5806 | 1.1069 | 1.0521 |
| No log | 6.6415 | 352 | 1.0698 | 0.6213 | 1.0698 | 1.0343 |
| No log | 6.6792 | 354 | 1.0659 | 0.6214 | 1.0659 | 1.0324 |
| No log | 6.7170 | 356 | 1.0669 | 0.6303 | 1.0669 | 1.0329 |
| No log | 6.7547 | 358 | 1.0685 | 0.6215 | 1.0685 | 1.0337 |
| No log | 6.7925 | 360 | 1.0353 | 0.6317 | 1.0353 | 1.0175 |
| No log | 6.8302 | 362 | 0.9474 | 0.6358 | 0.9474 | 0.9734 |
| No log | 6.8679 | 364 | 0.9071 | 0.6759 | 0.9071 | 0.9524 |
| No log | 6.9057 | 366 | 0.9317 | 0.6569 | 0.9317 | 0.9652 |
| No log | 6.9434 | 368 | 0.9964 | 0.6334 | 0.9964 | 0.9982 |
| No log | 6.9811 | 370 | 1.0861 | 0.5723 | 1.0861 | 1.0421 |
| No log | 7.0189 | 372 | 1.2370 | 0.5377 | 1.2370 | 1.1122 |
| No log | 7.0566 | 374 | 1.3867 | 0.5323 | 1.3867 | 1.1776 |
| No log | 7.0943 | 376 | 1.4184 | 0.5248 | 1.4184 | 1.1910 |
| No log | 7.1321 | 378 | 1.3390 | 0.5184 | 1.3390 | 1.1572 |
| No log | 7.1698 | 380 | 1.1876 | 0.5490 | 1.1876 | 1.0898 |
| No log | 7.2075 | 382 | 1.0861 | 0.5887 | 1.0861 | 1.0422 |
| No log | 7.2453 | 384 | 1.0568 | 0.5887 | 1.0568 | 1.0280 |
| No log | 7.2830 | 386 | 1.0704 | 0.5887 | 1.0704 | 1.0346 |
| No log | 7.3208 | 388 | 1.0800 | 0.5723 | 1.0800 | 1.0392 |
| No log | 7.3585 | 390 | 1.0707 | 0.6170 | 1.0707 | 1.0348 |
| No log | 7.3962 | 392 | 1.0766 | 0.6233 | 1.0766 | 1.0376 |
| No log | 7.4340 | 394 | 1.0797 | 0.6256 | 1.0797 | 1.0391 |
| No log | 7.4717 | 396 | 1.0445 | 0.6374 | 1.0445 | 1.0220 |
| No log | 7.5094 | 398 | 1.0360 | 0.6374 | 1.0360 | 1.0178 |
| No log | 7.5472 | 400 | 1.0109 | 0.6312 | 1.0109 | 1.0054 |
| No log | 7.5849 | 402 | 1.0079 | 0.6065 | 1.0079 | 1.0039 |
| No log | 7.6226 | 404 | 1.0282 | 0.6193 | 1.0282 | 1.0140 |
| No log | 7.6604 | 406 | 1.0635 | 0.6136 | 1.0635 | 1.0313 |
| No log | 7.6981 | 408 | 1.1076 | 0.6185 | 1.1076 | 1.0524 |
| No log | 7.7358 | 410 | 1.1154 | 0.6055 | 1.1154 | 1.0561 |
| No log | 7.7736 | 412 | 1.0630 | 0.6073 | 1.0630 | 1.0310 |
| No log | 7.8113 | 414 | 1.0090 | 0.6170 | 1.0090 | 1.0045 |
| No log | 7.8491 | 416 | 1.0029 | 0.6293 | 1.0029 | 1.0015 |
| No log | 7.8868 | 418 | 1.0158 | 0.6293 | 1.0158 | 1.0079 |
| No log | 7.9245 | 420 | 1.0681 | 0.6021 | 1.0681 | 1.0335 |
| No log | 7.9623 | 422 | 1.0985 | 0.6136 | 1.0985 | 1.0481 |
| No log | 8.0 | 424 | 1.1307 | 0.6068 | 1.1307 | 1.0634 |
| No log | 8.0377 | 426 | 1.1399 | 0.6025 | 1.1399 | 1.0677 |
| No log | 8.0755 | 428 | 1.1015 | 0.6068 | 1.1015 | 1.0495 |
| No log | 8.1132 | 430 | 1.0502 | 0.5955 | 1.0502 | 1.0248 |
| No log | 8.1509 | 432 | 0.9955 | 0.6248 | 0.9955 | 0.9977 |
| No log | 8.1887 | 434 | 0.9726 | 0.6471 | 0.9726 | 0.9862 |
| No log | 8.2264 | 436 | 0.9688 | 0.6471 | 0.9688 | 0.9843 |
| No log | 8.2642 | 438 | 0.9520 | 0.6550 | 0.9520 | 0.9757 |
| No log | 8.3019 | 440 | 0.9458 | 0.6640 | 0.9458 | 0.9725 |
| No log | 8.3396 | 442 | 0.9620 | 0.6399 | 0.9620 | 0.9808 |
| No log | 8.3774 | 444 | 0.9905 | 0.6483 | 0.9905 | 0.9953 |
| No log | 8.4151 | 446 | 1.0095 | 0.6387 | 1.0095 | 1.0048 |
| No log | 8.4528 | 448 | 1.0225 | 0.6140 | 1.0225 | 1.0112 |
| No log | 8.4906 | 450 | 1.0379 | 0.6140 | 1.0379 | 1.0188 |
| No log | 8.5283 | 452 | 1.0316 | 0.6140 | 1.0316 | 1.0157 |
| No log | 8.5660 | 454 | 1.0140 | 0.6234 | 1.0140 | 1.0070 |
| No log | 8.6038 | 456 | 1.0047 | 0.6218 | 1.0047 | 1.0024 |
| No log | 8.6415 | 458 | 1.0144 | 0.6218 | 1.0144 | 1.0072 |
| No log | 8.6792 | 460 | 1.0325 | 0.6122 | 1.0325 | 1.0161 |
| No log | 8.7170 | 462 | 1.0497 | 0.5911 | 1.0497 | 1.0246 |
| No log | 8.7547 | 464 | 1.0745 | 0.5977 | 1.0745 | 1.0366 |
| No log | 8.7925 | 466 | 1.0744 | 0.5977 | 1.0744 | 1.0365 |
| No log | 8.8302 | 468 | 1.0539 | 0.5955 | 1.0539 | 1.0266 |
| No log | 8.8679 | 470 | 1.0426 | 0.5955 | 1.0426 | 1.0211 |
| No log | 8.9057 | 472 | 1.0480 | 0.5955 | 1.0480 | 1.0237 |
| No log | 8.9434 | 474 | 1.0566 | 0.5955 | 1.0566 | 1.0279 |
| No log | 8.9811 | 476 | 1.0582 | 0.5955 | 1.0582 | 1.0287 |
| No log | 9.0189 | 478 | 1.0786 | 0.6136 | 1.0786 | 1.0386 |
| No log | 9.0566 | 480 | 1.1037 | 0.5928 | 1.1037 | 1.0506 |
| No log | 9.0943 | 482 | 1.1223 | 0.5723 | 1.1223 | 1.0594 |
| No log | 9.1321 | 484 | 1.1230 | 0.5723 | 1.1230 | 1.0597 |
| No log | 9.1698 | 486 | 1.1084 | 0.5897 | 1.1084 | 1.0528 |
| No log | 9.2075 | 488 | 1.0854 | 0.5897 | 1.0854 | 1.0418 |
| No log | 9.2453 | 490 | 1.0570 | 0.5955 | 1.0570 | 1.0281 |
| No log | 9.2830 | 492 | 1.0353 | 0.6078 | 1.0353 | 1.0175 |
| No log | 9.3208 | 494 | 1.0183 | 0.6170 | 1.0183 | 1.0091 |
| No log | 9.3585 | 496 | 1.0200 | 0.6170 | 1.0200 | 1.0100 |
| No log | 9.3962 | 498 | 1.0309 | 0.6170 | 1.0309 | 1.0153 |
| 0.32 | 9.4340 | 500 | 1.0434 | 0.5878 | 1.0434 | 1.0215 |
| 0.32 | 9.4717 | 502 | 1.0485 | 0.5878 | 1.0485 | 1.0240 |
| 0.32 | 9.5094 | 504 | 1.0613 | 0.5832 | 1.0613 | 1.0302 |
| 0.32 | 9.5472 | 506 | 1.0766 | 0.5897 | 1.0766 | 1.0376 |
| 0.32 | 9.5849 | 508 | 1.0836 | 0.5897 | 1.0836 | 1.0410 |
| 0.32 | 9.6226 | 510 | 1.0804 | 0.5897 | 1.0804 | 1.0394 |
| 0.32 | 9.6604 | 512 | 1.0771 | 0.5897 | 1.0771 | 1.0378 |
| 0.32 | 9.6981 | 514 | 1.0670 | 0.5832 | 1.0670 | 1.0330 |
| 0.32 | 9.7358 | 516 | 1.0535 | 0.5878 | 1.0535 | 1.0264 |
| 0.32 | 9.7736 | 518 | 1.0436 | 0.5955 | 1.0436 | 1.0215 |
| 0.32 | 9.8113 | 520 | 1.0381 | 0.6078 | 1.0381 | 1.0189 |
| 0.32 | 9.8491 | 522 | 1.0347 | 0.6078 | 1.0347 | 1.0172 |
| 0.32 | 9.8868 | 524 | 1.0344 | 0.6078 | 1.0344 | 1.0171 |
| 0.32 | 9.9245 | 526 | 1.0357 | 0.6078 | 1.0357 | 1.0177 |
| 0.32 | 9.9623 | 528 | 1.0360 | 0.6078 | 1.0360 | 1.0178 |
| 0.32 | 10.0 | 530 | 1.0363 | 0.6078 | 1.0363 | 1.0180 |
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_k14_task5_organization
Base model
aubmindlab/bert-base-arabertv02