Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k4_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k4_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k4_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k4_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k4_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k4_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: 0.5563
- Qwk: 0.5621
- Mse: 0.5563
- Rmse: 0.7458
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 | 0.0909 | 2 | 4.4329 | -0.0257 | 4.4329 | 2.1054 |
| No log | 0.1818 | 4 | 2.4160 | 0.0644 | 2.4160 | 1.5543 |
| No log | 0.2727 | 6 | 1.3010 | 0.0599 | 1.3010 | 1.1406 |
| No log | 0.3636 | 8 | 0.9209 | -0.0292 | 0.9209 | 0.9597 |
| No log | 0.4545 | 10 | 0.8272 | 0.2123 | 0.8272 | 0.9095 |
| No log | 0.5455 | 12 | 0.8722 | 0.1489 | 0.8722 | 0.9339 |
| No log | 0.6364 | 14 | 0.8930 | 0.2122 | 0.8930 | 0.9450 |
| No log | 0.7273 | 16 | 1.1076 | 0.1234 | 1.1076 | 1.0524 |
| No log | 0.8182 | 18 | 1.7759 | 0.1297 | 1.7759 | 1.3326 |
| No log | 0.9091 | 20 | 1.3380 | 0.0911 | 1.3380 | 1.1567 |
| No log | 1.0 | 22 | 1.1075 | 0.1457 | 1.1075 | 1.0524 |
| No log | 1.0909 | 24 | 0.9828 | 0.1939 | 0.9828 | 0.9914 |
| No log | 1.1818 | 26 | 0.9523 | 0.2280 | 0.9523 | 0.9758 |
| No log | 1.2727 | 28 | 0.8543 | 0.3712 | 0.8543 | 0.9243 |
| No log | 1.3636 | 30 | 0.7417 | 0.3161 | 0.7417 | 0.8612 |
| No log | 1.4545 | 32 | 0.6715 | 0.4228 | 0.6715 | 0.8195 |
| No log | 1.5455 | 34 | 0.6002 | 0.3557 | 0.6002 | 0.7747 |
| No log | 1.6364 | 36 | 0.7368 | 0.4376 | 0.7368 | 0.8584 |
| No log | 1.7273 | 38 | 1.3934 | 0.2394 | 1.3934 | 1.1804 |
| No log | 1.8182 | 40 | 1.6414 | 0.2127 | 1.6414 | 1.2812 |
| No log | 1.9091 | 42 | 1.0605 | 0.3770 | 1.0605 | 1.0298 |
| No log | 2.0 | 44 | 0.6818 | 0.4843 | 0.6818 | 0.8257 |
| No log | 2.0909 | 46 | 0.6846 | 0.4782 | 0.6846 | 0.8274 |
| No log | 2.1818 | 48 | 0.8409 | 0.4674 | 0.8409 | 0.9170 |
| No log | 2.2727 | 50 | 1.5306 | 0.2278 | 1.5306 | 1.2372 |
| No log | 2.3636 | 52 | 1.6862 | 0.2223 | 1.6862 | 1.2985 |
| No log | 2.4545 | 54 | 1.2419 | 0.2839 | 1.2419 | 1.1144 |
| No log | 2.5455 | 56 | 0.7252 | 0.4827 | 0.7252 | 0.8516 |
| No log | 2.6364 | 58 | 0.5824 | 0.5374 | 0.5824 | 0.7631 |
| No log | 2.7273 | 60 | 0.5726 | 0.4967 | 0.5726 | 0.7567 |
| No log | 2.8182 | 62 | 0.6148 | 0.4046 | 0.6148 | 0.7841 |
| No log | 2.9091 | 64 | 0.5647 | 0.4281 | 0.5647 | 0.7515 |
| No log | 3.0 | 66 | 0.6063 | 0.4664 | 0.6063 | 0.7786 |
| No log | 3.0909 | 68 | 0.6184 | 0.4464 | 0.6184 | 0.7864 |
| No log | 3.1818 | 70 | 0.5852 | 0.4757 | 0.5852 | 0.7650 |
| No log | 3.2727 | 72 | 0.5830 | 0.4986 | 0.5830 | 0.7636 |
| No log | 3.3636 | 74 | 0.6446 | 0.5374 | 0.6446 | 0.8029 |
| No log | 3.4545 | 76 | 1.0975 | 0.3781 | 1.0975 | 1.0476 |
| No log | 3.5455 | 78 | 1.6779 | 0.2481 | 1.6779 | 1.2953 |
| No log | 3.6364 | 80 | 1.5628 | 0.2715 | 1.5628 | 1.2501 |
| No log | 3.7273 | 82 | 0.9683 | 0.5178 | 0.9683 | 0.9840 |
| No log | 3.8182 | 84 | 0.6687 | 0.5452 | 0.6687 | 0.8177 |
| No log | 3.9091 | 86 | 0.6493 | 0.5388 | 0.6493 | 0.8058 |
| No log | 4.0 | 88 | 0.6927 | 0.5033 | 0.6927 | 0.8323 |
| No log | 4.0909 | 90 | 1.0329 | 0.4309 | 1.0329 | 1.0163 |
| No log | 4.1818 | 92 | 1.1256 | 0.3913 | 1.1256 | 1.0610 |
| No log | 4.2727 | 94 | 0.8836 | 0.4652 | 0.8836 | 0.9400 |
| No log | 4.3636 | 96 | 0.7179 | 0.4158 | 0.7179 | 0.8473 |
| No log | 4.4545 | 98 | 0.7712 | 0.3870 | 0.7712 | 0.8782 |
| No log | 4.5455 | 100 | 0.7552 | 0.3955 | 0.7552 | 0.8690 |
| No log | 4.6364 | 102 | 0.6942 | 0.5579 | 0.6942 | 0.8332 |
| No log | 4.7273 | 104 | 0.7319 | 0.5457 | 0.7319 | 0.8555 |
| No log | 4.8182 | 106 | 0.7567 | 0.4436 | 0.7567 | 0.8699 |
| No log | 4.9091 | 108 | 0.7129 | 0.4348 | 0.7129 | 0.8443 |
| No log | 5.0 | 110 | 0.6146 | 0.5234 | 0.6146 | 0.7840 |
| No log | 5.0909 | 112 | 0.6398 | 0.5189 | 0.6398 | 0.7999 |
| No log | 5.1818 | 114 | 0.6487 | 0.5112 | 0.6487 | 0.8054 |
| No log | 5.2727 | 116 | 0.5790 | 0.5595 | 0.5790 | 0.7609 |
| No log | 5.3636 | 118 | 0.6602 | 0.5002 | 0.6602 | 0.8125 |
| No log | 5.4545 | 120 | 0.9113 | 0.4555 | 0.9113 | 0.9546 |
| No log | 5.5455 | 122 | 1.2125 | 0.3212 | 1.2125 | 1.1012 |
| No log | 5.6364 | 124 | 0.9865 | 0.4138 | 0.9865 | 0.9932 |
| No log | 5.7273 | 126 | 0.6282 | 0.5390 | 0.6282 | 0.7926 |
| No log | 5.8182 | 128 | 0.5632 | 0.5665 | 0.5632 | 0.7504 |
| No log | 5.9091 | 130 | 0.5743 | 0.5677 | 0.5743 | 0.7578 |
| No log | 6.0 | 132 | 0.5997 | 0.5609 | 0.5997 | 0.7744 |
| No log | 6.0909 | 134 | 0.6025 | 0.5342 | 0.6025 | 0.7762 |
| No log | 6.1818 | 136 | 0.5981 | 0.5255 | 0.5981 | 0.7734 |
| No log | 6.2727 | 138 | 0.5508 | 0.5360 | 0.5508 | 0.7422 |
| No log | 6.3636 | 140 | 0.5394 | 0.5421 | 0.5394 | 0.7344 |
| No log | 6.4545 | 142 | 0.5732 | 0.5622 | 0.5732 | 0.7571 |
| No log | 6.5455 | 144 | 0.5888 | 0.5928 | 0.5888 | 0.7674 |
| No log | 6.6364 | 146 | 0.6325 | 0.5246 | 0.6325 | 0.7953 |
| No log | 6.7273 | 148 | 0.7501 | 0.5326 | 0.7501 | 0.8661 |
| No log | 6.8182 | 150 | 0.9598 | 0.5392 | 0.9598 | 0.9797 |
| No log | 6.9091 | 152 | 0.9433 | 0.5387 | 0.9433 | 0.9713 |
| No log | 7.0 | 154 | 0.7155 | 0.5481 | 0.7155 | 0.8459 |
| No log | 7.0909 | 156 | 0.7836 | 0.5536 | 0.7836 | 0.8852 |
| No log | 7.1818 | 158 | 0.8762 | 0.4933 | 0.8762 | 0.9361 |
| No log | 7.2727 | 160 | 0.7555 | 0.5193 | 0.7555 | 0.8692 |
| No log | 7.3636 | 162 | 0.6543 | 0.5455 | 0.6543 | 0.8089 |
| No log | 7.4545 | 164 | 0.6509 | 0.5280 | 0.6509 | 0.8068 |
| No log | 7.5455 | 166 | 0.6583 | 0.5406 | 0.6583 | 0.8114 |
| No log | 7.6364 | 168 | 0.6027 | 0.5513 | 0.6027 | 0.7763 |
| No log | 7.7273 | 170 | 0.6297 | 0.5226 | 0.6297 | 0.7936 |
| No log | 7.8182 | 172 | 0.6259 | 0.5431 | 0.6259 | 0.7911 |
| No log | 7.9091 | 174 | 0.6199 | 0.5623 | 0.6199 | 0.7873 |
| No log | 8.0 | 176 | 0.6146 | 0.5466 | 0.6146 | 0.7840 |
| No log | 8.0909 | 178 | 0.6837 | 0.5888 | 0.6837 | 0.8269 |
| No log | 8.1818 | 180 | 0.6769 | 0.5769 | 0.6769 | 0.8227 |
| No log | 8.2727 | 182 | 0.6369 | 0.5501 | 0.6369 | 0.7981 |
| No log | 8.3636 | 184 | 0.6209 | 0.5663 | 0.6209 | 0.7879 |
| No log | 8.4545 | 186 | 0.6072 | 0.5447 | 0.6072 | 0.7793 |
| No log | 8.5455 | 188 | 0.6372 | 0.5216 | 0.6372 | 0.7982 |
| No log | 8.6364 | 190 | 0.7517 | 0.5001 | 0.7517 | 0.8670 |
| No log | 8.7273 | 192 | 0.7205 | 0.4948 | 0.7205 | 0.8488 |
| No log | 8.8182 | 194 | 0.5833 | 0.5607 | 0.5833 | 0.7637 |
| No log | 8.9091 | 196 | 0.5879 | 0.5604 | 0.5879 | 0.7667 |
| No log | 9.0 | 198 | 0.6052 | 0.5903 | 0.6052 | 0.7779 |
| No log | 9.0909 | 200 | 0.5987 | 0.5856 | 0.5987 | 0.7738 |
| No log | 9.1818 | 202 | 0.5946 | 0.5389 | 0.5946 | 0.7711 |
| No log | 9.2727 | 204 | 0.5943 | 0.5836 | 0.5943 | 0.7709 |
| No log | 9.3636 | 206 | 0.6349 | 0.5600 | 0.6349 | 0.7968 |
| No log | 9.4545 | 208 | 0.6237 | 0.5956 | 0.6237 | 0.7897 |
| No log | 9.5455 | 210 | 0.5856 | 0.6023 | 0.5856 | 0.7652 |
| No log | 9.6364 | 212 | 0.5829 | 0.5509 | 0.5829 | 0.7635 |
| No log | 9.7273 | 214 | 0.6084 | 0.5261 | 0.6084 | 0.7800 |
| No log | 9.8182 | 216 | 0.6156 | 0.5385 | 0.6156 | 0.7846 |
| No log | 9.9091 | 218 | 0.5930 | 0.5836 | 0.5930 | 0.7700 |
| No log | 10.0 | 220 | 0.5795 | 0.6035 | 0.5795 | 0.7613 |
| No log | 10.0909 | 222 | 0.5925 | 0.5269 | 0.5925 | 0.7697 |
| No log | 10.1818 | 224 | 0.6645 | 0.5727 | 0.6645 | 0.8152 |
| No log | 10.2727 | 226 | 0.6584 | 0.5727 | 0.6584 | 0.8114 |
| No log | 10.3636 | 228 | 0.6142 | 0.5630 | 0.6142 | 0.7837 |
| No log | 10.4545 | 230 | 0.5725 | 0.5564 | 0.5725 | 0.7566 |
| No log | 10.5455 | 232 | 0.6028 | 0.5305 | 0.6028 | 0.7764 |
| No log | 10.6364 | 234 | 0.5823 | 0.5690 | 0.5823 | 0.7631 |
| No log | 10.7273 | 236 | 0.5819 | 0.5706 | 0.5819 | 0.7628 |
| No log | 10.8182 | 238 | 0.5912 | 0.6006 | 0.5912 | 0.7689 |
| No log | 10.9091 | 240 | 0.5876 | 0.6132 | 0.5876 | 0.7666 |
| No log | 11.0 | 242 | 0.5773 | 0.6066 | 0.5773 | 0.7598 |
| No log | 11.0909 | 244 | 0.5780 | 0.6023 | 0.5780 | 0.7603 |
| No log | 11.1818 | 246 | 0.5842 | 0.6075 | 0.5842 | 0.7643 |
| No log | 11.2727 | 248 | 0.5685 | 0.6135 | 0.5685 | 0.7540 |
| No log | 11.3636 | 250 | 0.6985 | 0.5387 | 0.6985 | 0.8357 |
| No log | 11.4545 | 252 | 0.8999 | 0.4954 | 0.8999 | 0.9486 |
| No log | 11.5455 | 254 | 0.8112 | 0.4941 | 0.8112 | 0.9007 |
| No log | 11.6364 | 256 | 0.5840 | 0.5708 | 0.5840 | 0.7642 |
| No log | 11.7273 | 258 | 0.5212 | 0.5585 | 0.5212 | 0.7219 |
| No log | 11.8182 | 260 | 0.5817 | 0.4921 | 0.5817 | 0.7627 |
| No log | 11.9091 | 262 | 0.5466 | 0.5675 | 0.5466 | 0.7393 |
| No log | 12.0 | 264 | 0.5123 | 0.5741 | 0.5123 | 0.7157 |
| No log | 12.0909 | 266 | 0.5510 | 0.5170 | 0.5510 | 0.7423 |
| No log | 12.1818 | 268 | 0.5544 | 0.5106 | 0.5544 | 0.7446 |
| No log | 12.2727 | 270 | 0.5363 | 0.5716 | 0.5363 | 0.7323 |
| No log | 12.3636 | 272 | 0.5962 | 0.6099 | 0.5962 | 0.7721 |
| No log | 12.4545 | 274 | 0.6299 | 0.5837 | 0.6299 | 0.7936 |
| No log | 12.5455 | 276 | 0.5800 | 0.5654 | 0.5800 | 0.7616 |
| No log | 12.6364 | 278 | 0.5693 | 0.5969 | 0.5693 | 0.7545 |
| No log | 12.7273 | 280 | 0.6177 | 0.5737 | 0.6177 | 0.7860 |
| No log | 12.8182 | 282 | 0.6068 | 0.5737 | 0.6068 | 0.7790 |
| No log | 12.9091 | 284 | 0.5795 | 0.5821 | 0.5795 | 0.7613 |
| No log | 13.0 | 286 | 0.5647 | 0.5565 | 0.5647 | 0.7515 |
| No log | 13.0909 | 288 | 0.6294 | 0.5462 | 0.6294 | 0.7934 |
| No log | 13.1818 | 290 | 0.6997 | 0.5347 | 0.6997 | 0.8365 |
| No log | 13.2727 | 292 | 0.6743 | 0.5456 | 0.6743 | 0.8212 |
| No log | 13.3636 | 294 | 0.6046 | 0.5250 | 0.6046 | 0.7776 |
| No log | 13.4545 | 296 | 0.5547 | 0.5830 | 0.5547 | 0.7448 |
| No log | 13.5455 | 298 | 0.5623 | 0.5762 | 0.5623 | 0.7499 |
| No log | 13.6364 | 300 | 0.5845 | 0.5601 | 0.5845 | 0.7645 |
| No log | 13.7273 | 302 | 0.6096 | 0.5635 | 0.6096 | 0.7808 |
| No log | 13.8182 | 304 | 0.6005 | 0.5734 | 0.6005 | 0.7749 |
| No log | 13.9091 | 306 | 0.5818 | 0.5568 | 0.5818 | 0.7628 |
| No log | 14.0 | 308 | 0.5719 | 0.5508 | 0.5719 | 0.7562 |
| No log | 14.0909 | 310 | 0.5669 | 0.5504 | 0.5669 | 0.7529 |
| No log | 14.1818 | 312 | 0.5772 | 0.5565 | 0.5772 | 0.7597 |
| No log | 14.2727 | 314 | 0.5895 | 0.5812 | 0.5895 | 0.7678 |
| No log | 14.3636 | 316 | 0.6012 | 0.5895 | 0.6012 | 0.7754 |
| No log | 14.4545 | 318 | 0.6115 | 0.5915 | 0.6115 | 0.7820 |
| No log | 14.5455 | 320 | 0.6102 | 0.5701 | 0.6102 | 0.7811 |
| No log | 14.6364 | 322 | 0.6219 | 0.5398 | 0.6219 | 0.7886 |
| No log | 14.7273 | 324 | 0.6082 | 0.5485 | 0.6082 | 0.7799 |
| No log | 14.8182 | 326 | 0.5903 | 0.5753 | 0.5903 | 0.7683 |
| No log | 14.9091 | 328 | 0.5854 | 0.5734 | 0.5854 | 0.7651 |
| No log | 15.0 | 330 | 0.5981 | 0.5598 | 0.5981 | 0.7734 |
| No log | 15.0909 | 332 | 0.6314 | 0.5009 | 0.6314 | 0.7946 |
| No log | 15.1818 | 334 | 0.5897 | 0.5338 | 0.5897 | 0.7679 |
| No log | 15.2727 | 336 | 0.5657 | 0.5653 | 0.5657 | 0.7521 |
| No log | 15.3636 | 338 | 0.6695 | 0.5600 | 0.6695 | 0.8182 |
| No log | 15.4545 | 340 | 0.6956 | 0.5520 | 0.6956 | 0.8340 |
| No log | 15.5455 | 342 | 0.6104 | 0.5829 | 0.6104 | 0.7813 |
| No log | 15.6364 | 344 | 0.5503 | 0.5581 | 0.5503 | 0.7418 |
| No log | 15.7273 | 346 | 0.5743 | 0.5142 | 0.5743 | 0.7578 |
| No log | 15.8182 | 348 | 0.5650 | 0.5180 | 0.5650 | 0.7516 |
| No log | 15.9091 | 350 | 0.5530 | 0.5402 | 0.5530 | 0.7437 |
| No log | 16.0 | 352 | 0.5491 | 0.5500 | 0.5491 | 0.7410 |
| No log | 16.0909 | 354 | 0.5509 | 0.5103 | 0.5509 | 0.7422 |
| No log | 16.1818 | 356 | 0.5587 | 0.5251 | 0.5587 | 0.7474 |
| No log | 16.2727 | 358 | 0.5593 | 0.5144 | 0.5593 | 0.7479 |
| No log | 16.3636 | 360 | 0.5671 | 0.5301 | 0.5671 | 0.7531 |
| No log | 16.4545 | 362 | 0.5882 | 0.5616 | 0.5882 | 0.7669 |
| No log | 16.5455 | 364 | 0.5909 | 0.5437 | 0.5909 | 0.7687 |
| No log | 16.6364 | 366 | 0.5788 | 0.5349 | 0.5788 | 0.7608 |
| No log | 16.7273 | 368 | 0.5861 | 0.53 | 0.5861 | 0.7656 |
| No log | 16.8182 | 370 | 0.6036 | 0.5784 | 0.6036 | 0.7769 |
| No log | 16.9091 | 372 | 0.6142 | 0.5779 | 0.6142 | 0.7837 |
| No log | 17.0 | 374 | 0.6193 | 0.5529 | 0.6193 | 0.7870 |
| No log | 17.0909 | 376 | 0.5970 | 0.5376 | 0.5970 | 0.7727 |
| No log | 17.1818 | 378 | 0.5704 | 0.5162 | 0.5704 | 0.7552 |
| No log | 17.2727 | 380 | 0.5879 | 0.5326 | 0.5879 | 0.7667 |
| No log | 17.3636 | 382 | 0.5972 | 0.5211 | 0.5972 | 0.7728 |
| No log | 17.4545 | 384 | 0.6033 | 0.5348 | 0.6033 | 0.7767 |
| No log | 17.5455 | 386 | 0.6255 | 0.5339 | 0.6255 | 0.7909 |
| No log | 17.6364 | 388 | 0.6598 | 0.5541 | 0.6598 | 0.8123 |
| No log | 17.7273 | 390 | 0.6999 | 0.5175 | 0.6999 | 0.8366 |
| No log | 17.8182 | 392 | 0.6909 | 0.5350 | 0.6909 | 0.8312 |
| No log | 17.9091 | 394 | 0.6822 | 0.5721 | 0.6822 | 0.8260 |
| No log | 18.0 | 396 | 0.7163 | 0.5485 | 0.7163 | 0.8464 |
| No log | 18.0909 | 398 | 0.6930 | 0.5670 | 0.6930 | 0.8325 |
| No log | 18.1818 | 400 | 0.6742 | 0.5544 | 0.6742 | 0.8211 |
| No log | 18.2727 | 402 | 0.7010 | 0.5451 | 0.7010 | 0.8372 |
| No log | 18.3636 | 404 | 0.7248 | 0.5231 | 0.7248 | 0.8514 |
| No log | 18.4545 | 406 | 0.6805 | 0.5769 | 0.6805 | 0.8249 |
| No log | 18.5455 | 408 | 0.6171 | 0.5327 | 0.6171 | 0.7856 |
| No log | 18.6364 | 410 | 0.5981 | 0.4978 | 0.5981 | 0.7734 |
| No log | 18.7273 | 412 | 0.6046 | 0.5179 | 0.6046 | 0.7775 |
| No log | 18.8182 | 414 | 0.5917 | 0.4799 | 0.5917 | 0.7692 |
| No log | 18.9091 | 416 | 0.6036 | 0.5763 | 0.6036 | 0.7769 |
| No log | 19.0 | 418 | 0.6005 | 0.5844 | 0.6005 | 0.7749 |
| No log | 19.0909 | 420 | 0.6130 | 0.5779 | 0.6130 | 0.7829 |
| No log | 19.1818 | 422 | 0.6009 | 0.5933 | 0.6009 | 0.7752 |
| No log | 19.2727 | 424 | 0.5995 | 0.5172 | 0.5995 | 0.7743 |
| No log | 19.3636 | 426 | 0.6345 | 0.5491 | 0.6345 | 0.7966 |
| No log | 19.4545 | 428 | 0.7006 | 0.5381 | 0.7006 | 0.8370 |
| No log | 19.5455 | 430 | 0.7260 | 0.5736 | 0.7260 | 0.8520 |
| No log | 19.6364 | 432 | 0.6673 | 0.5446 | 0.6673 | 0.8169 |
| No log | 19.7273 | 434 | 0.6006 | 0.5628 | 0.6006 | 0.7750 |
| No log | 19.8182 | 436 | 0.5799 | 0.5247 | 0.5799 | 0.7615 |
| No log | 19.9091 | 438 | 0.5620 | 0.5592 | 0.5620 | 0.7497 |
| No log | 20.0 | 440 | 0.5758 | 0.5785 | 0.5758 | 0.7588 |
| No log | 20.0909 | 442 | 0.6483 | 0.5353 | 0.6483 | 0.8052 |
| No log | 20.1818 | 444 | 0.7372 | 0.4737 | 0.7372 | 0.8586 |
| No log | 20.2727 | 446 | 0.7393 | 0.5285 | 0.7393 | 0.8598 |
| No log | 20.3636 | 448 | 0.6578 | 0.5883 | 0.6578 | 0.8110 |
| No log | 20.4545 | 450 | 0.5862 | 0.5596 | 0.5862 | 0.7657 |
| No log | 20.5455 | 452 | 0.5706 | 0.5447 | 0.5706 | 0.7554 |
| No log | 20.6364 | 454 | 0.5684 | 0.5634 | 0.5684 | 0.7539 |
| No log | 20.7273 | 456 | 0.5569 | 0.5421 | 0.5569 | 0.7462 |
| No log | 20.8182 | 458 | 0.5431 | 0.5820 | 0.5431 | 0.7370 |
| No log | 20.9091 | 460 | 0.5417 | 0.5670 | 0.5417 | 0.7360 |
| No log | 21.0 | 462 | 0.5322 | 0.5565 | 0.5322 | 0.7295 |
| No log | 21.0909 | 464 | 0.5319 | 0.5877 | 0.5319 | 0.7293 |
| No log | 21.1818 | 466 | 0.5334 | 0.5877 | 0.5334 | 0.7304 |
| No log | 21.2727 | 468 | 0.5320 | 0.5683 | 0.5320 | 0.7294 |
| No log | 21.3636 | 470 | 0.5342 | 0.5884 | 0.5342 | 0.7309 |
| No log | 21.4545 | 472 | 0.5360 | 0.5521 | 0.5360 | 0.7321 |
| No log | 21.5455 | 474 | 0.5420 | 0.5515 | 0.5420 | 0.7362 |
| No log | 21.6364 | 476 | 0.5431 | 0.5705 | 0.5431 | 0.7370 |
| No log | 21.7273 | 478 | 0.5450 | 0.5875 | 0.5450 | 0.7382 |
| No log | 21.8182 | 480 | 0.5568 | 0.6052 | 0.5568 | 0.7462 |
| No log | 21.9091 | 482 | 0.5773 | 0.5832 | 0.5773 | 0.7598 |
| No log | 22.0 | 484 | 0.5791 | 0.5832 | 0.5791 | 0.7610 |
| No log | 22.0909 | 486 | 0.5688 | 0.6016 | 0.5688 | 0.7542 |
| No log | 22.1818 | 488 | 0.5693 | 0.6189 | 0.5693 | 0.7545 |
| No log | 22.2727 | 490 | 0.5725 | 0.5811 | 0.5725 | 0.7566 |
| No log | 22.3636 | 492 | 0.5673 | 0.5596 | 0.5673 | 0.7532 |
| No log | 22.4545 | 494 | 0.5662 | 0.6306 | 0.5662 | 0.7525 |
| No log | 22.5455 | 496 | 0.6093 | 0.5621 | 0.6093 | 0.7806 |
| No log | 22.6364 | 498 | 0.6552 | 0.5749 | 0.6552 | 0.8094 |
| 0.3221 | 22.7273 | 500 | 0.6356 | 0.5769 | 0.6356 | 0.7972 |
| 0.3221 | 22.8182 | 502 | 0.5823 | 0.5641 | 0.5823 | 0.7631 |
| 0.3221 | 22.9091 | 504 | 0.5432 | 0.5484 | 0.5432 | 0.7370 |
| 0.3221 | 23.0 | 506 | 0.5535 | 0.5856 | 0.5535 | 0.7440 |
| 0.3221 | 23.0909 | 508 | 0.5521 | 0.5856 | 0.5521 | 0.7431 |
| 0.3221 | 23.1818 | 510 | 0.5493 | 0.5520 | 0.5493 | 0.7412 |
| 0.3221 | 23.2727 | 512 | 0.5778 | 0.6146 | 0.5778 | 0.7601 |
| 0.3221 | 23.3636 | 514 | 0.6364 | 0.5718 | 0.6364 | 0.7977 |
| 0.3221 | 23.4545 | 516 | 0.6479 | 0.5677 | 0.6479 | 0.8049 |
| 0.3221 | 23.5455 | 518 | 0.5976 | 0.5779 | 0.5976 | 0.7730 |
| 0.3221 | 23.6364 | 520 | 0.5484 | 0.5575 | 0.5484 | 0.7405 |
| 0.3221 | 23.7273 | 522 | 0.5551 | 0.5609 | 0.5551 | 0.7451 |
| 0.3221 | 23.8182 | 524 | 0.5716 | 0.5104 | 0.5716 | 0.7561 |
| 0.3221 | 23.9091 | 526 | 0.5723 | 0.5236 | 0.5723 | 0.7565 |
| 0.3221 | 24.0 | 528 | 0.5563 | 0.5621 | 0.5563 | 0.7458 |
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_run1_AugV5_k4_task2_organization
Base model
aubmindlab/bert-base-arabertv02