Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_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: 0.9997
- Qwk: 0.6161
- Mse: 0.9997
- Rmse: 0.9998
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 | 0.0455 | 2 | 2.2207 | 0.0285 | 2.2207 | 1.4902 |
| No log | 0.0909 | 4 | 1.6256 | 0.2001 | 1.6256 | 1.2750 |
| No log | 0.1364 | 6 | 1.3812 | 0.2813 | 1.3812 | 1.1753 |
| No log | 0.1818 | 8 | 1.5709 | 0.0325 | 1.5709 | 1.2533 |
| No log | 0.2273 | 10 | 1.5805 | 0.1127 | 1.5805 | 1.2572 |
| No log | 0.2727 | 12 | 1.6514 | 0.2076 | 1.6514 | 1.2851 |
| No log | 0.3182 | 14 | 1.6253 | 0.1734 | 1.6253 | 1.2749 |
| No log | 0.3636 | 16 | 1.5356 | 0.0836 | 1.5356 | 1.2392 |
| No log | 0.4091 | 18 | 1.4754 | 0.1650 | 1.4754 | 1.2147 |
| No log | 0.4545 | 20 | 1.3763 | 0.2014 | 1.3763 | 1.1732 |
| No log | 0.5 | 22 | 1.3161 | 0.2389 | 1.3161 | 1.1472 |
| No log | 0.5455 | 24 | 1.3203 | 0.1762 | 1.3203 | 1.1491 |
| No log | 0.5909 | 26 | 1.3507 | 0.1627 | 1.3507 | 1.1622 |
| No log | 0.6364 | 28 | 1.3137 | 0.1220 | 1.3137 | 1.1462 |
| No log | 0.6818 | 30 | 1.2413 | 0.1347 | 1.2413 | 1.1141 |
| No log | 0.7273 | 32 | 1.1722 | 0.1715 | 1.1722 | 1.0827 |
| No log | 0.7727 | 34 | 1.1476 | 0.1715 | 1.1476 | 1.0713 |
| No log | 0.8182 | 36 | 1.1211 | 0.2505 | 1.1211 | 1.0588 |
| No log | 0.8636 | 38 | 1.1174 | 0.3286 | 1.1174 | 1.0571 |
| No log | 0.9091 | 40 | 1.0967 | 0.3930 | 1.0967 | 1.0472 |
| No log | 0.9545 | 42 | 1.0682 | 0.4825 | 1.0682 | 1.0335 |
| No log | 1.0 | 44 | 1.1898 | 0.3549 | 1.1898 | 1.0908 |
| No log | 1.0455 | 46 | 1.1862 | 0.3358 | 1.1862 | 1.0891 |
| No log | 1.0909 | 48 | 1.0924 | 0.4406 | 1.0924 | 1.0452 |
| No log | 1.1364 | 50 | 1.1540 | 0.3763 | 1.1540 | 1.0742 |
| No log | 1.1818 | 52 | 1.2869 | 0.4290 | 1.2869 | 1.1344 |
| No log | 1.2273 | 54 | 1.4728 | 0.3644 | 1.4728 | 1.2136 |
| No log | 1.2727 | 56 | 1.3616 | 0.4437 | 1.3616 | 1.1669 |
| No log | 1.3182 | 58 | 1.1014 | 0.3710 | 1.1014 | 1.0495 |
| No log | 1.3636 | 60 | 1.0926 | 0.4346 | 1.0926 | 1.0453 |
| No log | 1.4091 | 62 | 1.0854 | 0.4393 | 1.0854 | 1.0418 |
| No log | 1.4545 | 64 | 1.0879 | 0.3881 | 1.0879 | 1.0430 |
| No log | 1.5 | 66 | 1.1785 | 0.4351 | 1.1785 | 1.0856 |
| No log | 1.5455 | 68 | 1.1844 | 0.4632 | 1.1844 | 1.0883 |
| No log | 1.5909 | 70 | 1.2100 | 0.4638 | 1.2100 | 1.1000 |
| No log | 1.6364 | 72 | 1.1305 | 0.4987 | 1.1305 | 1.0632 |
| No log | 1.6818 | 74 | 1.0123 | 0.5030 | 1.0123 | 1.0061 |
| No log | 1.7273 | 76 | 1.1010 | 0.4146 | 1.1010 | 1.0493 |
| No log | 1.7727 | 78 | 1.1495 | 0.3752 | 1.1495 | 1.0721 |
| No log | 1.8182 | 80 | 1.0779 | 0.3848 | 1.0779 | 1.0382 |
| No log | 1.8636 | 82 | 1.0085 | 0.4817 | 1.0085 | 1.0042 |
| No log | 1.9091 | 84 | 0.9779 | 0.5349 | 0.9779 | 0.9889 |
| No log | 1.9545 | 86 | 0.9679 | 0.5613 | 0.9679 | 0.9838 |
| No log | 2.0 | 88 | 0.9593 | 0.5292 | 0.9593 | 0.9794 |
| No log | 2.0455 | 90 | 0.9383 | 0.5958 | 0.9383 | 0.9687 |
| No log | 2.0909 | 92 | 0.9446 | 0.5698 | 0.9446 | 0.9719 |
| No log | 2.1364 | 94 | 0.9324 | 0.6162 | 0.9324 | 0.9656 |
| No log | 2.1818 | 96 | 0.9116 | 0.6169 | 0.9116 | 0.9548 |
| No log | 2.2273 | 98 | 1.0256 | 0.6386 | 1.0256 | 1.0127 |
| No log | 2.2727 | 100 | 1.1272 | 0.5893 | 1.1272 | 1.0617 |
| No log | 2.3182 | 102 | 1.0173 | 0.6354 | 1.0173 | 1.0086 |
| No log | 2.3636 | 104 | 0.9315 | 0.6666 | 0.9315 | 0.9651 |
| No log | 2.4091 | 106 | 0.8462 | 0.6918 | 0.8462 | 0.9199 |
| No log | 2.4545 | 108 | 0.8135 | 0.6545 | 0.8135 | 0.9019 |
| No log | 2.5 | 110 | 0.7115 | 0.6872 | 0.7115 | 0.8435 |
| No log | 2.5455 | 112 | 0.6845 | 0.6907 | 0.6845 | 0.8273 |
| No log | 2.5909 | 114 | 0.8025 | 0.7026 | 0.8025 | 0.8958 |
| No log | 2.6364 | 116 | 1.2935 | 0.5561 | 1.2935 | 1.1373 |
| No log | 2.6818 | 118 | 1.6671 | 0.4972 | 1.6671 | 1.2912 |
| No log | 2.7273 | 120 | 1.5932 | 0.4764 | 1.5932 | 1.2622 |
| No log | 2.7727 | 122 | 1.2024 | 0.5866 | 1.2024 | 1.0965 |
| No log | 2.8182 | 124 | 0.9855 | 0.6315 | 0.9855 | 0.9927 |
| No log | 2.8636 | 126 | 0.9553 | 0.6504 | 0.9553 | 0.9774 |
| No log | 2.9091 | 128 | 1.2126 | 0.5948 | 1.2126 | 1.1012 |
| No log | 2.9545 | 130 | 1.5578 | 0.5130 | 1.5578 | 1.2481 |
| No log | 3.0 | 132 | 1.5098 | 0.5288 | 1.5098 | 1.2287 |
| No log | 3.0455 | 134 | 1.2112 | 0.5571 | 1.2112 | 1.1005 |
| No log | 3.0909 | 136 | 0.8896 | 0.6924 | 0.8896 | 0.9432 |
| No log | 3.1364 | 138 | 0.8154 | 0.6930 | 0.8154 | 0.9030 |
| No log | 3.1818 | 140 | 0.9093 | 0.6703 | 0.9093 | 0.9536 |
| No log | 3.2273 | 142 | 1.2419 | 0.5725 | 1.2419 | 1.1144 |
| No log | 3.2727 | 144 | 1.4317 | 0.5496 | 1.4317 | 1.1965 |
| No log | 3.3182 | 146 | 1.3878 | 0.5744 | 1.3878 | 1.1780 |
| No log | 3.3636 | 148 | 1.0642 | 0.6412 | 1.0642 | 1.0316 |
| No log | 3.4091 | 150 | 0.8351 | 0.6500 | 0.8351 | 0.9138 |
| No log | 3.4545 | 152 | 0.8353 | 0.6509 | 0.8353 | 0.9140 |
| No log | 3.5 | 154 | 0.9649 | 0.6450 | 0.9649 | 0.9823 |
| No log | 3.5455 | 156 | 1.0991 | 0.6026 | 1.0991 | 1.0484 |
| No log | 3.5909 | 158 | 1.0965 | 0.6140 | 1.0965 | 1.0471 |
| No log | 3.6364 | 160 | 0.9671 | 0.6568 | 0.9671 | 0.9834 |
| No log | 3.6818 | 162 | 0.9130 | 0.6589 | 0.9130 | 0.9555 |
| No log | 3.7273 | 164 | 0.9299 | 0.6591 | 0.9299 | 0.9643 |
| No log | 3.7727 | 166 | 1.0171 | 0.6403 | 1.0171 | 1.0085 |
| No log | 3.8182 | 168 | 1.3095 | 0.5789 | 1.3095 | 1.1444 |
| No log | 3.8636 | 170 | 1.3847 | 0.5735 | 1.3847 | 1.1767 |
| No log | 3.9091 | 172 | 1.2316 | 0.5894 | 1.2316 | 1.1098 |
| No log | 3.9545 | 174 | 0.9811 | 0.6411 | 0.9811 | 0.9905 |
| No log | 4.0 | 176 | 0.8893 | 0.6291 | 0.8893 | 0.9430 |
| No log | 4.0455 | 178 | 0.9832 | 0.6242 | 0.9832 | 0.9915 |
| No log | 4.0909 | 180 | 1.1860 | 0.5913 | 1.1860 | 1.0890 |
| No log | 4.1364 | 182 | 1.3716 | 0.5541 | 1.3716 | 1.1711 |
| No log | 4.1818 | 184 | 1.3143 | 0.5580 | 1.3143 | 1.1464 |
| No log | 4.2273 | 186 | 1.2421 | 0.5873 | 1.2421 | 1.1145 |
| No log | 4.2727 | 188 | 1.0373 | 0.5971 | 1.0373 | 1.0185 |
| No log | 4.3182 | 190 | 0.8658 | 0.6206 | 0.8658 | 0.9305 |
| No log | 4.3636 | 192 | 0.8510 | 0.6185 | 0.8510 | 0.9225 |
| No log | 4.4091 | 194 | 0.9774 | 0.6237 | 0.9774 | 0.9886 |
| No log | 4.4545 | 196 | 1.2418 | 0.5909 | 1.2418 | 1.1144 |
| No log | 4.5 | 198 | 1.3617 | 0.5708 | 1.3617 | 1.1669 |
| No log | 4.5455 | 200 | 1.2293 | 0.5812 | 1.2293 | 1.1087 |
| No log | 4.5909 | 202 | 1.0878 | 0.6072 | 1.0878 | 1.0430 |
| No log | 4.6364 | 204 | 0.8526 | 0.6892 | 0.8526 | 0.9233 |
| No log | 4.6818 | 206 | 0.7726 | 0.6776 | 0.7726 | 0.8790 |
| No log | 4.7273 | 208 | 0.7126 | 0.6701 | 0.7126 | 0.8442 |
| No log | 4.7727 | 210 | 0.7127 | 0.6836 | 0.7127 | 0.8442 |
| No log | 4.8182 | 212 | 0.7999 | 0.6797 | 0.7999 | 0.8944 |
| No log | 4.8636 | 214 | 0.9678 | 0.6457 | 0.9678 | 0.9838 |
| No log | 4.9091 | 216 | 1.1934 | 0.5878 | 1.1934 | 1.0924 |
| No log | 4.9545 | 218 | 1.2902 | 0.5978 | 1.2902 | 1.1359 |
| No log | 5.0 | 220 | 1.1502 | 0.6012 | 1.1502 | 1.0725 |
| No log | 5.0455 | 222 | 0.8865 | 0.6521 | 0.8865 | 0.9415 |
| No log | 5.0909 | 224 | 0.7073 | 0.6793 | 0.7073 | 0.8410 |
| No log | 5.1364 | 226 | 0.6771 | 0.6606 | 0.6771 | 0.8228 |
| No log | 5.1818 | 228 | 0.6729 | 0.6687 | 0.6729 | 0.8203 |
| No log | 5.2273 | 230 | 0.7039 | 0.7079 | 0.7039 | 0.8390 |
| No log | 5.2727 | 232 | 0.8408 | 0.6883 | 0.8408 | 0.9169 |
| No log | 5.3182 | 234 | 1.0901 | 0.6154 | 1.0901 | 1.0441 |
| No log | 5.3636 | 236 | 1.1909 | 0.6119 | 1.1909 | 1.0913 |
| No log | 5.4091 | 238 | 1.1259 | 0.6119 | 1.1259 | 1.0611 |
| No log | 5.4545 | 240 | 1.0005 | 0.6511 | 1.0005 | 1.0002 |
| No log | 5.5 | 242 | 0.9489 | 0.6570 | 0.9489 | 0.9741 |
| No log | 5.5455 | 244 | 1.0288 | 0.6328 | 1.0288 | 1.0143 |
| No log | 5.5909 | 246 | 1.1030 | 0.6314 | 1.1030 | 1.0502 |
| No log | 5.6364 | 248 | 1.1258 | 0.5884 | 1.1258 | 1.0610 |
| No log | 5.6818 | 250 | 1.0288 | 0.6270 | 1.0288 | 1.0143 |
| No log | 5.7273 | 252 | 0.9461 | 0.6305 | 0.9461 | 0.9727 |
| No log | 5.7727 | 254 | 0.8037 | 0.7152 | 0.8037 | 0.8965 |
| No log | 5.8182 | 256 | 0.7594 | 0.7239 | 0.7594 | 0.8714 |
| No log | 5.8636 | 258 | 0.7920 | 0.7239 | 0.7920 | 0.8900 |
| No log | 5.9091 | 260 | 0.8939 | 0.6585 | 0.8939 | 0.9454 |
| No log | 5.9545 | 262 | 1.0086 | 0.6538 | 1.0086 | 1.0043 |
| No log | 6.0 | 264 | 1.0771 | 0.6435 | 1.0771 | 1.0378 |
| No log | 6.0455 | 266 | 1.0031 | 0.6218 | 1.0031 | 1.0016 |
| No log | 6.0909 | 268 | 0.9074 | 0.6558 | 0.9074 | 0.9526 |
| No log | 6.1364 | 270 | 0.8650 | 0.6846 | 0.8650 | 0.9300 |
| No log | 6.1818 | 272 | 0.8797 | 0.6748 | 0.8797 | 0.9379 |
| No log | 6.2273 | 274 | 0.8427 | 0.6795 | 0.8427 | 0.9180 |
| No log | 6.2727 | 276 | 0.8203 | 0.6795 | 0.8203 | 0.9057 |
| No log | 6.3182 | 278 | 0.8339 | 0.6795 | 0.8339 | 0.9132 |
| No log | 6.3636 | 280 | 0.8597 | 0.6837 | 0.8597 | 0.9272 |
| No log | 6.4091 | 282 | 0.8605 | 0.6763 | 0.8605 | 0.9276 |
| No log | 6.4545 | 284 | 0.8713 | 0.6836 | 0.8713 | 0.9334 |
| No log | 6.5 | 286 | 0.8720 | 0.7114 | 0.8720 | 0.9338 |
| No log | 6.5455 | 288 | 0.9310 | 0.6956 | 0.9310 | 0.9649 |
| No log | 6.5909 | 290 | 0.9314 | 0.7037 | 0.9314 | 0.9651 |
| No log | 6.6364 | 292 | 0.8965 | 0.7189 | 0.8965 | 0.9468 |
| No log | 6.6818 | 294 | 0.8186 | 0.6962 | 0.8186 | 0.9048 |
| No log | 6.7273 | 296 | 0.7706 | 0.7213 | 0.7706 | 0.8779 |
| No log | 6.7727 | 298 | 0.7330 | 0.7467 | 0.7330 | 0.8561 |
| No log | 6.8182 | 300 | 0.7402 | 0.7384 | 0.7402 | 0.8603 |
| No log | 6.8636 | 302 | 0.7259 | 0.7308 | 0.7259 | 0.8520 |
| No log | 6.9091 | 304 | 0.6986 | 0.7198 | 0.6986 | 0.8358 |
| No log | 6.9545 | 306 | 0.7122 | 0.6932 | 0.7122 | 0.8439 |
| No log | 7.0 | 308 | 0.7523 | 0.6869 | 0.7523 | 0.8673 |
| No log | 7.0455 | 310 | 0.7791 | 0.6611 | 0.7791 | 0.8827 |
| No log | 7.0909 | 312 | 0.8157 | 0.6734 | 0.8157 | 0.9031 |
| No log | 7.1364 | 314 | 0.8420 | 0.6742 | 0.8420 | 0.9176 |
| No log | 7.1818 | 316 | 0.8272 | 0.6857 | 0.8272 | 0.9095 |
| No log | 7.2273 | 318 | 0.7694 | 0.6741 | 0.7694 | 0.8772 |
| No log | 7.2727 | 320 | 0.7243 | 0.7121 | 0.7243 | 0.8511 |
| No log | 7.3182 | 322 | 0.7233 | 0.7140 | 0.7233 | 0.8505 |
| No log | 7.3636 | 324 | 0.7448 | 0.7259 | 0.7448 | 0.8630 |
| No log | 7.4091 | 326 | 0.7759 | 0.7294 | 0.7759 | 0.8809 |
| No log | 7.4545 | 328 | 0.8450 | 0.6922 | 0.8450 | 0.9192 |
| No log | 7.5 | 330 | 0.9426 | 0.6582 | 0.9426 | 0.9709 |
| No log | 7.5455 | 332 | 0.9890 | 0.6591 | 0.9890 | 0.9945 |
| No log | 7.5909 | 334 | 1.0620 | 0.6279 | 1.0620 | 1.0305 |
| No log | 7.6364 | 336 | 1.1383 | 0.6206 | 1.1383 | 1.0669 |
| No log | 7.6818 | 338 | 1.1335 | 0.6019 | 1.1335 | 1.0647 |
| No log | 7.7273 | 340 | 1.0888 | 0.6025 | 1.0888 | 1.0434 |
| No log | 7.7727 | 342 | 1.0043 | 0.6247 | 1.0043 | 1.0022 |
| No log | 7.8182 | 344 | 0.9565 | 0.6247 | 0.9565 | 0.9780 |
| No log | 7.8636 | 346 | 0.9430 | 0.6427 | 0.9430 | 0.9711 |
| No log | 7.9091 | 348 | 0.9512 | 0.6427 | 0.9512 | 0.9753 |
| No log | 7.9545 | 350 | 0.9752 | 0.6337 | 0.9752 | 0.9875 |
| No log | 8.0 | 352 | 1.0531 | 0.6326 | 1.0531 | 1.0262 |
| No log | 8.0455 | 354 | 1.0974 | 0.6071 | 1.0974 | 1.0476 |
| No log | 8.0909 | 356 | 1.0903 | 0.6213 | 1.0903 | 1.0442 |
| No log | 8.1364 | 358 | 1.0382 | 0.6213 | 1.0382 | 1.0189 |
| No log | 8.1818 | 360 | 0.9770 | 0.6542 | 0.9770 | 0.9884 |
| No log | 8.2273 | 362 | 0.9274 | 0.6507 | 0.9274 | 0.9630 |
| No log | 8.2727 | 364 | 0.9009 | 0.6507 | 0.9009 | 0.9492 |
| No log | 8.3182 | 366 | 0.8797 | 0.6548 | 0.8797 | 0.9379 |
| No log | 8.3636 | 368 | 0.8986 | 0.6507 | 0.8986 | 0.9480 |
| No log | 8.4091 | 370 | 0.9519 | 0.6623 | 0.9519 | 0.9757 |
| No log | 8.4545 | 372 | 1.0394 | 0.6236 | 1.0394 | 1.0195 |
| No log | 8.5 | 374 | 1.0964 | 0.6114 | 1.0964 | 1.0471 |
| No log | 8.5455 | 376 | 1.0984 | 0.6114 | 1.0984 | 1.0481 |
| No log | 8.5909 | 378 | 1.0684 | 0.6155 | 1.0684 | 1.0336 |
| No log | 8.6364 | 380 | 1.0077 | 0.6208 | 1.0077 | 1.0039 |
| No log | 8.6818 | 382 | 0.9516 | 0.6451 | 0.9516 | 0.9755 |
| No log | 8.7273 | 384 | 0.9225 | 0.6529 | 0.9225 | 0.9605 |
| No log | 8.7727 | 386 | 0.9152 | 0.6496 | 0.9152 | 0.9566 |
| No log | 8.8182 | 388 | 0.9099 | 0.6538 | 0.9099 | 0.9539 |
| No log | 8.8636 | 390 | 0.9173 | 0.6289 | 0.9173 | 0.9578 |
| No log | 8.9091 | 392 | 0.9116 | 0.6420 | 0.9116 | 0.9548 |
| No log | 8.9545 | 394 | 0.9232 | 0.6289 | 0.9232 | 0.9608 |
| No log | 9.0 | 396 | 0.9407 | 0.6289 | 0.9407 | 0.9699 |
| No log | 9.0455 | 398 | 0.9814 | 0.6129 | 0.9814 | 0.9907 |
| No log | 9.0909 | 400 | 1.0092 | 0.6248 | 1.0092 | 1.0046 |
| No log | 9.1364 | 402 | 1.0128 | 0.6248 | 1.0128 | 1.0064 |
| No log | 9.1818 | 404 | 1.0132 | 0.6248 | 1.0132 | 1.0066 |
| No log | 9.2273 | 406 | 1.0037 | 0.6217 | 1.0037 | 1.0019 |
| No log | 9.2727 | 408 | 0.9935 | 0.6129 | 0.9935 | 0.9967 |
| No log | 9.3182 | 410 | 0.9861 | 0.6129 | 0.9861 | 0.9930 |
| No log | 9.3636 | 412 | 0.9748 | 0.6129 | 0.9748 | 0.9873 |
| No log | 9.4091 | 414 | 0.9645 | 0.6129 | 0.9645 | 0.9821 |
| No log | 9.4545 | 416 | 0.9548 | 0.6215 | 0.9548 | 0.9771 |
| No log | 9.5 | 418 | 0.9594 | 0.6129 | 0.9594 | 0.9795 |
| No log | 9.5455 | 420 | 0.9675 | 0.6129 | 0.9675 | 0.9836 |
| No log | 9.5909 | 422 | 0.9745 | 0.6129 | 0.9745 | 0.9872 |
| No log | 9.6364 | 424 | 0.9867 | 0.6129 | 0.9867 | 0.9933 |
| No log | 9.6818 | 426 | 0.9943 | 0.6129 | 0.9943 | 0.9972 |
| No log | 9.7273 | 428 | 0.9971 | 0.6129 | 0.9971 | 0.9986 |
| No log | 9.7727 | 430 | 0.9991 | 0.6129 | 0.9991 | 0.9996 |
| No log | 9.8182 | 432 | 0.9986 | 0.6161 | 0.9986 | 0.9993 |
| No log | 9.8636 | 434 | 0.9992 | 0.6161 | 0.9992 | 0.9996 |
| No log | 9.9091 | 436 | 1.0005 | 0.6161 | 1.0005 | 1.0002 |
| No log | 9.9545 | 438 | 1.0003 | 0.6161 | 1.0003 | 1.0002 |
| No log | 10.0 | 440 | 0.9997 | 0.6161 | 0.9997 | 0.9998 |
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/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task5_organization
Base model
aubmindlab/bert-base-arabertv02