Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task1_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: 0.9745
- Qwk: 0.5781
- Mse: 0.9745
- Rmse: 0.9871
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 | 0.1333 | 2 | 5.3751 | -0.0256 | 5.3751 | 2.3184 |
| No log | 0.2667 | 4 | 3.0781 | 0.0814 | 3.0781 | 1.7545 |
| No log | 0.4 | 6 | 1.8438 | 0.0881 | 1.8438 | 1.3579 |
| No log | 0.5333 | 8 | 1.4676 | 0.1608 | 1.4676 | 1.2114 |
| No log | 0.6667 | 10 | 1.3754 | 0.0810 | 1.3754 | 1.1728 |
| No log | 0.8 | 12 | 1.4381 | 0.1156 | 1.4381 | 1.1992 |
| No log | 0.9333 | 14 | 1.3326 | 0.1510 | 1.3326 | 1.1544 |
| No log | 1.0667 | 16 | 1.3999 | 0.1745 | 1.3999 | 1.1832 |
| No log | 1.2 | 18 | 1.4095 | 0.0811 | 1.4095 | 1.1872 |
| No log | 1.3333 | 20 | 1.3884 | 0.0565 | 1.3884 | 1.1783 |
| No log | 1.4667 | 22 | 1.3760 | 0.0900 | 1.3760 | 1.1730 |
| No log | 1.6 | 24 | 1.2261 | 0.2684 | 1.2261 | 1.1073 |
| No log | 1.7333 | 26 | 1.2585 | 0.1855 | 1.2585 | 1.1218 |
| No log | 1.8667 | 28 | 1.2153 | 0.2514 | 1.2153 | 1.1024 |
| No log | 2.0 | 30 | 1.1430 | 0.2839 | 1.1430 | 1.0691 |
| No log | 2.1333 | 32 | 1.1017 | 0.2593 | 1.1017 | 1.0496 |
| No log | 2.2667 | 34 | 1.0970 | 0.2801 | 1.0970 | 1.0474 |
| No log | 2.4 | 36 | 1.1562 | 0.3127 | 1.1562 | 1.0753 |
| No log | 2.5333 | 38 | 1.1884 | 0.2591 | 1.1884 | 1.0901 |
| No log | 2.6667 | 40 | 1.1950 | 0.2913 | 1.1950 | 1.0932 |
| No log | 2.8 | 42 | 1.0828 | 0.3650 | 1.0828 | 1.0406 |
| No log | 2.9333 | 44 | 1.1478 | 0.3114 | 1.1478 | 1.0713 |
| No log | 3.0667 | 46 | 1.2950 | 0.2675 | 1.2950 | 1.1380 |
| No log | 3.2 | 48 | 1.2847 | 0.2844 | 1.2847 | 1.1334 |
| No log | 3.3333 | 50 | 1.0879 | 0.3158 | 1.0879 | 1.0430 |
| No log | 3.4667 | 52 | 1.0459 | 0.3806 | 1.0459 | 1.0227 |
| No log | 3.6 | 54 | 1.0449 | 0.3625 | 1.0449 | 1.0222 |
| No log | 3.7333 | 56 | 1.0684 | 0.3574 | 1.0684 | 1.0336 |
| No log | 3.8667 | 58 | 1.0236 | 0.3784 | 1.0236 | 1.0117 |
| No log | 4.0 | 60 | 1.0092 | 0.3866 | 1.0092 | 1.0046 |
| No log | 4.1333 | 62 | 1.0208 | 0.4265 | 1.0208 | 1.0103 |
| No log | 4.2667 | 64 | 1.0117 | 0.4532 | 1.0117 | 1.0058 |
| No log | 4.4 | 66 | 0.9856 | 0.4586 | 0.9856 | 0.9928 |
| No log | 4.5333 | 68 | 0.9927 | 0.4627 | 0.9927 | 0.9963 |
| No log | 4.6667 | 70 | 1.0445 | 0.4283 | 1.0445 | 1.0220 |
| No log | 4.8 | 72 | 1.0926 | 0.4289 | 1.0926 | 1.0453 |
| No log | 4.9333 | 74 | 1.0779 | 0.4272 | 1.0779 | 1.0382 |
| No log | 5.0667 | 76 | 1.1041 | 0.3903 | 1.1041 | 1.0508 |
| No log | 5.2 | 78 | 1.1078 | 0.4102 | 1.1078 | 1.0525 |
| No log | 5.3333 | 80 | 1.0976 | 0.4646 | 1.0976 | 1.0477 |
| No log | 5.4667 | 82 | 0.9639 | 0.5436 | 0.9639 | 0.9818 |
| No log | 5.6 | 84 | 1.0265 | 0.4282 | 1.0265 | 1.0132 |
| No log | 5.7333 | 86 | 1.1367 | 0.5011 | 1.1367 | 1.0662 |
| No log | 5.8667 | 88 | 0.8761 | 0.4869 | 0.8761 | 0.9360 |
| No log | 6.0 | 90 | 0.8267 | 0.5293 | 0.8267 | 0.9093 |
| No log | 6.1333 | 92 | 0.8973 | 0.5681 | 0.8973 | 0.9472 |
| No log | 6.2667 | 94 | 1.0040 | 0.5128 | 1.0040 | 1.0020 |
| No log | 6.4 | 96 | 1.0598 | 0.4982 | 1.0598 | 1.0294 |
| No log | 6.5333 | 98 | 0.9660 | 0.5512 | 0.9660 | 0.9829 |
| No log | 6.6667 | 100 | 0.8558 | 0.5887 | 0.8558 | 0.9251 |
| No log | 6.8 | 102 | 0.8282 | 0.5721 | 0.8282 | 0.9101 |
| No log | 6.9333 | 104 | 0.8513 | 0.5780 | 0.8513 | 0.9227 |
| No log | 7.0667 | 106 | 0.8582 | 0.5710 | 0.8582 | 0.9264 |
| No log | 7.2 | 108 | 0.8980 | 0.5261 | 0.8980 | 0.9476 |
| No log | 7.3333 | 110 | 0.9370 | 0.5361 | 0.9370 | 0.9680 |
| No log | 7.4667 | 112 | 0.8987 | 0.5653 | 0.8987 | 0.9480 |
| No log | 7.6 | 114 | 0.8901 | 0.5658 | 0.8901 | 0.9435 |
| No log | 7.7333 | 116 | 0.8916 | 0.5631 | 0.8916 | 0.9442 |
| No log | 7.8667 | 118 | 0.8799 | 0.5901 | 0.8799 | 0.9380 |
| No log | 8.0 | 120 | 0.8454 | 0.6274 | 0.8454 | 0.9195 |
| No log | 8.1333 | 122 | 0.8180 | 0.6267 | 0.8180 | 0.9044 |
| No log | 8.2667 | 124 | 0.8164 | 0.6401 | 0.8164 | 0.9036 |
| No log | 8.4 | 126 | 0.8562 | 0.6092 | 0.8562 | 0.9253 |
| No log | 8.5333 | 128 | 0.9146 | 0.5792 | 0.9146 | 0.9563 |
| No log | 8.6667 | 130 | 0.9628 | 0.5715 | 0.9628 | 0.9812 |
| No log | 8.8 | 132 | 1.0158 | 0.5790 | 1.0158 | 1.0079 |
| No log | 8.9333 | 134 | 1.0382 | 0.5729 | 1.0382 | 1.0189 |
| No log | 9.0667 | 136 | 1.0378 | 0.5668 | 1.0378 | 1.0187 |
| No log | 9.2 | 138 | 1.0291 | 0.5667 | 1.0291 | 1.0144 |
| No log | 9.3333 | 140 | 0.9283 | 0.5897 | 0.9283 | 0.9635 |
| No log | 9.4667 | 142 | 0.8442 | 0.6213 | 0.8442 | 0.9188 |
| No log | 9.6 | 144 | 0.8510 | 0.6347 | 0.8510 | 0.9225 |
| No log | 9.7333 | 146 | 0.9195 | 0.5904 | 0.9195 | 0.9589 |
| No log | 9.8667 | 148 | 1.0661 | 0.5777 | 1.0661 | 1.0325 |
| No log | 10.0 | 150 | 1.0546 | 0.5533 | 1.0546 | 1.0269 |
| No log | 10.1333 | 152 | 0.9662 | 0.5702 | 0.9662 | 0.9829 |
| No log | 10.2667 | 154 | 0.8990 | 0.6108 | 0.8990 | 0.9482 |
| No log | 10.4 | 156 | 0.8500 | 0.6563 | 0.8500 | 0.9219 |
| No log | 10.5333 | 158 | 0.8369 | 0.6550 | 0.8369 | 0.9148 |
| No log | 10.6667 | 160 | 0.8290 | 0.6270 | 0.8290 | 0.9105 |
| No log | 10.8 | 162 | 0.8108 | 0.6502 | 0.8108 | 0.9004 |
| No log | 10.9333 | 164 | 0.7786 | 0.6436 | 0.7786 | 0.8824 |
| No log | 11.0667 | 166 | 0.8054 | 0.6412 | 0.8054 | 0.8974 |
| No log | 11.2 | 168 | 0.9212 | 0.6110 | 0.9212 | 0.9598 |
| No log | 11.3333 | 170 | 1.0971 | 0.5159 | 1.0971 | 1.0474 |
| No log | 11.4667 | 172 | 1.0827 | 0.5403 | 1.0827 | 1.0405 |
| No log | 11.6 | 174 | 0.9295 | 0.5984 | 0.9295 | 0.9641 |
| No log | 11.7333 | 176 | 0.8084 | 0.6520 | 0.8084 | 0.8991 |
| No log | 11.8667 | 178 | 0.8049 | 0.6479 | 0.8049 | 0.8972 |
| No log | 12.0 | 180 | 0.8426 | 0.6317 | 0.8426 | 0.9180 |
| No log | 12.1333 | 182 | 0.9654 | 0.6251 | 0.9654 | 0.9825 |
| No log | 12.2667 | 184 | 1.1368 | 0.5381 | 1.1368 | 1.0662 |
| No log | 12.4 | 186 | 1.1714 | 0.4972 | 1.1714 | 1.0823 |
| No log | 12.5333 | 188 | 1.0593 | 0.5360 | 1.0593 | 1.0292 |
| No log | 12.6667 | 190 | 0.9384 | 0.6191 | 0.9384 | 0.9687 |
| No log | 12.8 | 192 | 0.8657 | 0.6144 | 0.8657 | 0.9304 |
| No log | 12.9333 | 194 | 0.8378 | 0.6063 | 0.8378 | 0.9153 |
| No log | 13.0667 | 196 | 0.8700 | 0.5814 | 0.8700 | 0.9327 |
| No log | 13.2 | 198 | 0.9392 | 0.5908 | 0.9392 | 0.9691 |
| No log | 13.3333 | 200 | 1.0126 | 0.5522 | 1.0126 | 1.0063 |
| No log | 13.4667 | 202 | 1.1703 | 0.5200 | 1.1703 | 1.0818 |
| No log | 13.6 | 204 | 1.2011 | 0.5333 | 1.2011 | 1.0959 |
| No log | 13.7333 | 206 | 1.0239 | 0.5842 | 1.0239 | 1.0119 |
| No log | 13.8667 | 208 | 0.8766 | 0.6103 | 0.8766 | 0.9363 |
| No log | 14.0 | 210 | 0.8557 | 0.6098 | 0.8557 | 0.9250 |
| No log | 14.1333 | 212 | 0.8673 | 0.6294 | 0.8673 | 0.9313 |
| No log | 14.2667 | 214 | 0.9862 | 0.6053 | 0.9862 | 0.9931 |
| No log | 14.4 | 216 | 1.1821 | 0.5317 | 1.1821 | 1.0872 |
| No log | 14.5333 | 218 | 1.2120 | 0.5264 | 1.2120 | 1.1009 |
| No log | 14.6667 | 220 | 1.0240 | 0.5931 | 1.0240 | 1.0119 |
| No log | 14.8 | 222 | 0.8583 | 0.6434 | 0.8583 | 0.9265 |
| No log | 14.9333 | 224 | 0.8019 | 0.6525 | 0.8019 | 0.8955 |
| No log | 15.0667 | 226 | 0.8440 | 0.6460 | 0.8440 | 0.9187 |
| No log | 15.2 | 228 | 0.9568 | 0.5916 | 0.9568 | 0.9781 |
| No log | 15.3333 | 230 | 0.9988 | 0.5889 | 0.9988 | 0.9994 |
| No log | 15.4667 | 232 | 1.0114 | 0.5626 | 1.0114 | 1.0057 |
| No log | 15.6 | 234 | 1.0423 | 0.5862 | 1.0423 | 1.0209 |
| No log | 15.7333 | 236 | 1.1093 | 0.5875 | 1.1093 | 1.0532 |
| No log | 15.8667 | 238 | 1.1284 | 0.5786 | 1.1284 | 1.0623 |
| No log | 16.0 | 240 | 1.1852 | 0.5449 | 1.1852 | 1.0887 |
| No log | 16.1333 | 242 | 1.0777 | 0.5868 | 1.0777 | 1.0381 |
| No log | 16.2667 | 244 | 0.9674 | 0.6116 | 0.9674 | 0.9836 |
| No log | 16.4 | 246 | 0.8800 | 0.6478 | 0.8800 | 0.9381 |
| No log | 16.5333 | 248 | 0.8552 | 0.6263 | 0.8552 | 0.9248 |
| No log | 16.6667 | 250 | 0.9013 | 0.6086 | 0.9013 | 0.9493 |
| No log | 16.8 | 252 | 0.9839 | 0.5235 | 0.9839 | 0.9919 |
| No log | 16.9333 | 254 | 1.1235 | 0.5535 | 1.1235 | 1.0600 |
| No log | 17.0667 | 256 | 1.1923 | 0.5516 | 1.1923 | 1.0919 |
| No log | 17.2 | 258 | 1.0389 | 0.5830 | 1.0389 | 1.0193 |
| No log | 17.3333 | 260 | 0.8947 | 0.6098 | 0.8947 | 0.9459 |
| No log | 17.4667 | 262 | 0.8741 | 0.5685 | 0.8741 | 0.9349 |
| No log | 17.6 | 264 | 0.9012 | 0.5766 | 0.9012 | 0.9493 |
| No log | 17.7333 | 266 | 0.9930 | 0.5718 | 0.9930 | 0.9965 |
| No log | 17.8667 | 268 | 1.1637 | 0.4864 | 1.1637 | 1.0787 |
| No log | 18.0 | 270 | 1.2118 | 0.4928 | 1.2118 | 1.1008 |
| No log | 18.1333 | 272 | 1.1062 | 0.5388 | 1.1062 | 1.0518 |
| No log | 18.2667 | 274 | 0.9668 | 0.5619 | 0.9668 | 0.9832 |
| No log | 18.4 | 276 | 0.9022 | 0.6083 | 0.9022 | 0.9498 |
| No log | 18.5333 | 278 | 0.8590 | 0.6047 | 0.8590 | 0.9268 |
| No log | 18.6667 | 280 | 0.8218 | 0.5945 | 0.8218 | 0.9065 |
| No log | 18.8 | 282 | 0.8218 | 0.6042 | 0.8218 | 0.9066 |
| No log | 18.9333 | 284 | 0.8498 | 0.5655 | 0.8498 | 0.9218 |
| No log | 19.0667 | 286 | 0.9014 | 0.5963 | 0.9014 | 0.9494 |
| No log | 19.2 | 288 | 0.9587 | 0.5553 | 0.9587 | 0.9791 |
| No log | 19.3333 | 290 | 0.9287 | 0.6070 | 0.9287 | 0.9637 |
| No log | 19.4667 | 292 | 0.9158 | 0.6388 | 0.9158 | 0.9570 |
| No log | 19.6 | 294 | 0.9625 | 0.6237 | 0.9625 | 0.9811 |
| No log | 19.7333 | 296 | 1.0916 | 0.5673 | 1.0916 | 1.0448 |
| No log | 19.8667 | 298 | 1.2367 | 0.5540 | 1.2367 | 1.1121 |
| No log | 20.0 | 300 | 1.1885 | 0.5371 | 1.1885 | 1.0902 |
| No log | 20.1333 | 302 | 1.0175 | 0.5619 | 1.0175 | 1.0087 |
| No log | 20.2667 | 304 | 0.8928 | 0.5958 | 0.8928 | 0.9449 |
| No log | 20.4 | 306 | 0.7726 | 0.6424 | 0.7726 | 0.8790 |
| No log | 20.5333 | 308 | 0.7432 | 0.6499 | 0.7432 | 0.8621 |
| No log | 20.6667 | 310 | 0.7357 | 0.6735 | 0.7357 | 0.8577 |
| No log | 20.8 | 312 | 0.8005 | 0.6535 | 0.8005 | 0.8947 |
| No log | 20.9333 | 314 | 0.9495 | 0.6109 | 0.9495 | 0.9744 |
| No log | 21.0667 | 316 | 0.9804 | 0.6006 | 0.9804 | 0.9902 |
| No log | 21.2 | 318 | 0.9387 | 0.6003 | 0.9387 | 0.9689 |
| No log | 21.3333 | 320 | 0.8312 | 0.6440 | 0.8312 | 0.9117 |
| No log | 21.4667 | 322 | 0.7182 | 0.6583 | 0.7182 | 0.8475 |
| No log | 21.6 | 324 | 0.7053 | 0.6664 | 0.7053 | 0.8398 |
| No log | 21.7333 | 326 | 0.7546 | 0.6529 | 0.7546 | 0.8687 |
| No log | 21.8667 | 328 | 0.8446 | 0.6505 | 0.8446 | 0.9190 |
| No log | 22.0 | 330 | 0.9647 | 0.6275 | 0.9647 | 0.9822 |
| No log | 22.1333 | 332 | 0.9206 | 0.6166 | 0.9206 | 0.9595 |
| No log | 22.2667 | 334 | 0.8556 | 0.6175 | 0.8556 | 0.9250 |
| No log | 22.4 | 336 | 0.8145 | 0.6474 | 0.8145 | 0.9025 |
| No log | 22.5333 | 338 | 0.7793 | 0.6371 | 0.7793 | 0.8828 |
| No log | 22.6667 | 340 | 0.8377 | 0.6496 | 0.8377 | 0.9153 |
| No log | 22.8 | 342 | 0.9290 | 0.6253 | 0.9290 | 0.9638 |
| No log | 22.9333 | 344 | 0.9664 | 0.6032 | 0.9664 | 0.9831 |
| No log | 23.0667 | 346 | 0.9334 | 0.5911 | 0.9334 | 0.9661 |
| No log | 23.2 | 348 | 0.9075 | 0.6048 | 0.9075 | 0.9526 |
| No log | 23.3333 | 350 | 0.8946 | 0.6462 | 0.8946 | 0.9458 |
| No log | 23.4667 | 352 | 0.9187 | 0.6388 | 0.9187 | 0.9585 |
| No log | 23.6 | 354 | 0.9403 | 0.5997 | 0.9403 | 0.9697 |
| No log | 23.7333 | 356 | 0.9897 | 0.5764 | 0.9897 | 0.9948 |
| No log | 23.8667 | 358 | 1.0023 | 0.5718 | 1.0023 | 1.0012 |
| No log | 24.0 | 360 | 0.9325 | 0.5763 | 0.9325 | 0.9657 |
| No log | 24.1333 | 362 | 0.9179 | 0.6063 | 0.9179 | 0.9581 |
| No log | 24.2667 | 364 | 0.9430 | 0.5852 | 0.9430 | 0.9711 |
| No log | 24.4 | 366 | 0.9896 | 0.5948 | 0.9896 | 0.9948 |
| No log | 24.5333 | 368 | 1.0124 | 0.5840 | 1.0124 | 1.0062 |
| No log | 24.6667 | 370 | 0.9601 | 0.6150 | 0.9601 | 0.9799 |
| No log | 24.8 | 372 | 0.9507 | 0.6300 | 0.9507 | 0.9750 |
| No log | 24.9333 | 374 | 0.8926 | 0.6396 | 0.8925 | 0.9447 |
| No log | 25.0667 | 376 | 0.8557 | 0.6307 | 0.8557 | 0.9251 |
| No log | 25.2 | 378 | 0.9059 | 0.5981 | 0.9059 | 0.9518 |
| No log | 25.3333 | 380 | 0.9347 | 0.5644 | 0.9347 | 0.9668 |
| No log | 25.4667 | 382 | 0.8939 | 0.5526 | 0.8939 | 0.9455 |
| No log | 25.6 | 384 | 0.8781 | 0.5337 | 0.8781 | 0.9371 |
| No log | 25.7333 | 386 | 0.9441 | 0.5656 | 0.9441 | 0.9716 |
| No log | 25.8667 | 388 | 1.0797 | 0.5612 | 1.0797 | 1.0391 |
| No log | 26.0 | 390 | 1.1308 | 0.5606 | 1.1308 | 1.0634 |
| No log | 26.1333 | 392 | 1.0357 | 0.5277 | 1.0357 | 1.0177 |
| No log | 26.2667 | 394 | 0.9632 | 0.5705 | 0.9632 | 0.9814 |
| No log | 26.4 | 396 | 0.9263 | 0.5447 | 0.9263 | 0.9624 |
| No log | 26.5333 | 398 | 0.9116 | 0.5548 | 0.9116 | 0.9548 |
| No log | 26.6667 | 400 | 0.8843 | 0.5880 | 0.8843 | 0.9404 |
| No log | 26.8 | 402 | 0.9484 | 0.5968 | 0.9484 | 0.9738 |
| No log | 26.9333 | 404 | 0.9990 | 0.5992 | 0.9990 | 0.9995 |
| No log | 27.0667 | 406 | 0.9681 | 0.6232 | 0.9681 | 0.9839 |
| No log | 27.2 | 408 | 0.9497 | 0.6186 | 0.9497 | 0.9745 |
| No log | 27.3333 | 410 | 0.9495 | 0.6057 | 0.9495 | 0.9744 |
| No log | 27.4667 | 412 | 0.9910 | 0.5815 | 0.9910 | 0.9955 |
| No log | 27.6 | 414 | 0.9487 | 0.5815 | 0.9487 | 0.9740 |
| No log | 27.7333 | 416 | 0.8846 | 0.6208 | 0.8846 | 0.9405 |
| No log | 27.8667 | 418 | 0.8427 | 0.6045 | 0.8427 | 0.9180 |
| No log | 28.0 | 420 | 0.8795 | 0.6054 | 0.8795 | 0.9378 |
| No log | 28.1333 | 422 | 0.9494 | 0.5900 | 0.9494 | 0.9744 |
| No log | 28.2667 | 424 | 0.9881 | 0.5958 | 0.9881 | 0.9940 |
| No log | 28.4 | 426 | 0.9730 | 0.5852 | 0.9730 | 0.9864 |
| No log | 28.5333 | 428 | 0.9563 | 0.5804 | 0.9563 | 0.9779 |
| No log | 28.6667 | 430 | 0.9819 | 0.5766 | 0.9819 | 0.9909 |
| No log | 28.8 | 432 | 0.9661 | 0.5694 | 0.9661 | 0.9829 |
| No log | 28.9333 | 434 | 0.8748 | 0.6346 | 0.8748 | 0.9353 |
| No log | 29.0667 | 436 | 0.8452 | 0.6451 | 0.8452 | 0.9193 |
| No log | 29.2 | 438 | 0.8663 | 0.6241 | 0.8663 | 0.9308 |
| No log | 29.3333 | 440 | 0.8564 | 0.6268 | 0.8564 | 0.9254 |
| No log | 29.4667 | 442 | 0.9092 | 0.6132 | 0.9092 | 0.9535 |
| No log | 29.6 | 444 | 0.9405 | 0.6281 | 0.9405 | 0.9698 |
| No log | 29.7333 | 446 | 0.9591 | 0.6091 | 0.9591 | 0.9793 |
| No log | 29.8667 | 448 | 0.9719 | 0.6008 | 0.9719 | 0.9859 |
| No log | 30.0 | 450 | 0.9356 | 0.5895 | 0.9356 | 0.9672 |
| No log | 30.1333 | 452 | 0.9661 | 0.5842 | 0.9661 | 0.9829 |
| No log | 30.2667 | 454 | 1.0511 | 0.5636 | 1.0511 | 1.0252 |
| No log | 30.4 | 456 | 1.1102 | 0.5439 | 1.1102 | 1.0537 |
| No log | 30.5333 | 458 | 1.1628 | 0.5467 | 1.1628 | 1.0783 |
| No log | 30.6667 | 460 | 1.2328 | 0.4857 | 1.2328 | 1.1103 |
| No log | 30.8 | 462 | 1.2005 | 0.5071 | 1.2005 | 1.0957 |
| No log | 30.9333 | 464 | 1.0907 | 0.5464 | 1.0907 | 1.0444 |
| No log | 31.0667 | 466 | 0.9622 | 0.5693 | 0.9622 | 0.9809 |
| No log | 31.2 | 468 | 0.8724 | 0.6209 | 0.8724 | 0.9340 |
| No log | 31.3333 | 470 | 0.8468 | 0.6279 | 0.8468 | 0.9202 |
| No log | 31.4667 | 472 | 0.8644 | 0.5899 | 0.8644 | 0.9297 |
| No log | 31.6 | 474 | 0.9419 | 0.5754 | 0.9419 | 0.9705 |
| No log | 31.7333 | 476 | 1.0090 | 0.5780 | 1.0090 | 1.0045 |
| No log | 31.8667 | 478 | 1.0927 | 0.5494 | 1.0927 | 1.0453 |
| No log | 32.0 | 480 | 1.0396 | 0.5330 | 1.0396 | 1.0196 |
| No log | 32.1333 | 482 | 0.9186 | 0.6063 | 0.9186 | 0.9584 |
| No log | 32.2667 | 484 | 0.8607 | 0.5945 | 0.8607 | 0.9277 |
| No log | 32.4 | 486 | 0.8154 | 0.6091 | 0.8154 | 0.9030 |
| No log | 32.5333 | 488 | 0.8285 | 0.6314 | 0.8285 | 0.9102 |
| No log | 32.6667 | 490 | 0.8700 | 0.6324 | 0.8700 | 0.9327 |
| No log | 32.8 | 492 | 0.9589 | 0.6127 | 0.9589 | 0.9792 |
| No log | 32.9333 | 494 | 1.0745 | 0.5382 | 1.0745 | 1.0366 |
| No log | 33.0667 | 496 | 1.0700 | 0.5400 | 1.0700 | 1.0344 |
| No log | 33.2 | 498 | 0.9908 | 0.5876 | 0.9908 | 0.9954 |
| 0.3841 | 33.3333 | 500 | 0.8941 | 0.6003 | 0.8941 | 0.9456 |
| 0.3841 | 33.4667 | 502 | 0.8756 | 0.6279 | 0.8756 | 0.9357 |
| 0.3841 | 33.6 | 504 | 0.8916 | 0.6233 | 0.8916 | 0.9442 |
| 0.3841 | 33.7333 | 506 | 0.9634 | 0.6026 | 0.9634 | 0.9815 |
| 0.3841 | 33.8667 | 508 | 1.0325 | 0.5943 | 1.0325 | 1.0161 |
| 0.3841 | 34.0 | 510 | 1.0914 | 0.5438 | 1.0914 | 1.0447 |
| 0.3841 | 34.1333 | 512 | 1.1023 | 0.5473 | 1.1023 | 1.0499 |
| 0.3841 | 34.2667 | 514 | 1.0538 | 0.5681 | 1.0538 | 1.0266 |
| 0.3841 | 34.4 | 516 | 0.9745 | 0.5781 | 0.9745 | 0.9871 |
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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task1_organization
Base model
aubmindlab/bert-base-arabertv02