Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k12_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k12_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k12_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k12_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k12_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k12_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: 1.0389
- Qwk: 0.5738
- Mse: 1.0389
- Rmse: 1.0193
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 | 0.0312 | 2 | 5.2647 | -0.0261 | 5.2647 | 2.2945 |
| No log | 0.0625 | 4 | 2.9234 | 0.0623 | 2.9234 | 1.7098 |
| No log | 0.0938 | 6 | 1.6997 | 0.0876 | 1.6997 | 1.3037 |
| No log | 0.125 | 8 | 1.6729 | 0.0696 | 1.6729 | 1.2934 |
| No log | 0.1562 | 10 | 1.4910 | 0.0724 | 1.4910 | 1.2211 |
| No log | 0.1875 | 12 | 1.3036 | 0.2072 | 1.3036 | 1.1418 |
| No log | 0.2188 | 14 | 1.1435 | 0.2189 | 1.1435 | 1.0693 |
| No log | 0.25 | 16 | 1.1272 | 0.1814 | 1.1272 | 1.0617 |
| No log | 0.2812 | 18 | 1.1095 | 0.2296 | 1.1095 | 1.0533 |
| No log | 0.3125 | 20 | 1.1378 | 0.2455 | 1.1378 | 1.0667 |
| No log | 0.3438 | 22 | 1.1373 | 0.3226 | 1.1373 | 1.0665 |
| No log | 0.375 | 24 | 1.1577 | 0.3812 | 1.1577 | 1.0759 |
| No log | 0.4062 | 26 | 1.1511 | 0.4050 | 1.1511 | 1.0729 |
| No log | 0.4375 | 28 | 1.0630 | 0.3844 | 1.0630 | 1.0310 |
| No log | 0.4688 | 30 | 0.9916 | 0.3126 | 0.9916 | 0.9958 |
| No log | 0.5 | 32 | 1.0076 | 0.3159 | 1.0076 | 1.0038 |
| No log | 0.5312 | 34 | 1.0746 | 0.2715 | 1.0746 | 1.0366 |
| No log | 0.5625 | 36 | 1.0566 | 0.3825 | 1.0566 | 1.0279 |
| No log | 0.5938 | 38 | 1.0673 | 0.3955 | 1.0673 | 1.0331 |
| No log | 0.625 | 40 | 1.0560 | 0.3491 | 1.0560 | 1.0276 |
| No log | 0.6562 | 42 | 1.0958 | 0.2997 | 1.0958 | 1.0468 |
| No log | 0.6875 | 44 | 1.0725 | 0.2942 | 1.0725 | 1.0356 |
| No log | 0.7188 | 46 | 1.0556 | 0.3177 | 1.0556 | 1.0274 |
| No log | 0.75 | 48 | 1.0112 | 0.3440 | 1.0112 | 1.0056 |
| No log | 0.7812 | 50 | 0.9680 | 0.4282 | 0.9680 | 0.9839 |
| No log | 0.8125 | 52 | 0.9695 | 0.4610 | 0.9695 | 0.9847 |
| No log | 0.8438 | 54 | 1.0506 | 0.5042 | 1.0506 | 1.0250 |
| No log | 0.875 | 56 | 1.1459 | 0.3954 | 1.1459 | 1.0704 |
| No log | 0.9062 | 58 | 1.0944 | 0.3164 | 1.0944 | 1.0461 |
| No log | 0.9375 | 60 | 1.1095 | 0.4153 | 1.1095 | 1.0533 |
| No log | 0.9688 | 62 | 1.1430 | 0.4545 | 1.1430 | 1.0691 |
| No log | 1.0 | 64 | 1.0261 | 0.4428 | 1.0261 | 1.0130 |
| No log | 1.0312 | 66 | 0.9916 | 0.4510 | 0.9916 | 0.9958 |
| No log | 1.0625 | 68 | 0.9802 | 0.4385 | 0.9802 | 0.9901 |
| No log | 1.0938 | 70 | 1.0822 | 0.4898 | 1.0822 | 1.0403 |
| No log | 1.125 | 72 | 1.0150 | 0.3598 | 1.0150 | 1.0075 |
| No log | 1.1562 | 74 | 1.0638 | 0.3110 | 1.0638 | 1.0314 |
| No log | 1.1875 | 76 | 1.0375 | 0.3247 | 1.0375 | 1.0186 |
| No log | 1.2188 | 78 | 0.9920 | 0.3947 | 0.9920 | 0.9960 |
| No log | 1.25 | 80 | 0.9811 | 0.5086 | 0.9811 | 0.9905 |
| No log | 1.2812 | 82 | 0.9635 | 0.5439 | 0.9635 | 0.9816 |
| No log | 1.3125 | 84 | 0.9689 | 0.5642 | 0.9689 | 0.9843 |
| No log | 1.3438 | 86 | 1.1229 | 0.4844 | 1.1229 | 1.0597 |
| No log | 1.375 | 88 | 1.3173 | 0.4361 | 1.3173 | 1.1477 |
| No log | 1.4062 | 90 | 1.3947 | 0.4356 | 1.3947 | 1.1810 |
| No log | 1.4375 | 92 | 1.4517 | 0.4397 | 1.4517 | 1.2049 |
| No log | 1.4688 | 94 | 1.2092 | 0.4689 | 1.2092 | 1.0996 |
| No log | 1.5 | 96 | 0.9807 | 0.5923 | 0.9807 | 0.9903 |
| No log | 1.5312 | 98 | 0.8011 | 0.6230 | 0.8011 | 0.8950 |
| No log | 1.5625 | 100 | 0.7966 | 0.6000 | 0.7966 | 0.8925 |
| No log | 1.5938 | 102 | 0.8804 | 0.5685 | 0.8804 | 0.9383 |
| No log | 1.625 | 104 | 1.0862 | 0.4125 | 1.0862 | 1.0422 |
| No log | 1.6562 | 106 | 1.2733 | 0.3436 | 1.2733 | 1.1284 |
| No log | 1.6875 | 108 | 1.5733 | 0.3698 | 1.5733 | 1.2543 |
| No log | 1.7188 | 110 | 1.5376 | 0.4205 | 1.5376 | 1.2400 |
| No log | 1.75 | 112 | 1.3430 | 0.4420 | 1.3430 | 1.1589 |
| No log | 1.7812 | 114 | 1.1085 | 0.4461 | 1.1085 | 1.0529 |
| No log | 1.8125 | 116 | 1.0041 | 0.4724 | 1.0041 | 1.0020 |
| No log | 1.8438 | 118 | 0.9829 | 0.4390 | 0.9829 | 0.9914 |
| No log | 1.875 | 120 | 1.0058 | 0.4937 | 1.0058 | 1.0029 |
| No log | 1.9062 | 122 | 1.1636 | 0.4702 | 1.1636 | 1.0787 |
| No log | 1.9375 | 124 | 1.3754 | 0.4967 | 1.3754 | 1.1728 |
| No log | 1.9688 | 126 | 1.4470 | 0.5105 | 1.4470 | 1.2029 |
| No log | 2.0 | 128 | 1.3761 | 0.5252 | 1.3761 | 1.1731 |
| No log | 2.0312 | 130 | 1.4337 | 0.5427 | 1.4337 | 1.1974 |
| No log | 2.0625 | 132 | 1.4050 | 0.5405 | 1.4050 | 1.1853 |
| No log | 2.0938 | 134 | 1.3968 | 0.5286 | 1.3968 | 1.1819 |
| No log | 2.125 | 136 | 1.2182 | 0.5251 | 1.2182 | 1.1037 |
| No log | 2.1562 | 138 | 0.9801 | 0.5543 | 0.9801 | 0.9900 |
| No log | 2.1875 | 140 | 0.9063 | 0.5555 | 0.9063 | 0.9520 |
| No log | 2.2188 | 142 | 0.8524 | 0.6260 | 0.8524 | 0.9233 |
| No log | 2.25 | 144 | 0.8971 | 0.6078 | 0.8971 | 0.9471 |
| No log | 2.2812 | 146 | 0.9281 | 0.5749 | 0.9281 | 0.9634 |
| No log | 2.3125 | 148 | 1.0512 | 0.5866 | 1.0512 | 1.0253 |
| No log | 2.3438 | 150 | 1.3236 | 0.5479 | 1.3236 | 1.1505 |
| No log | 2.375 | 152 | 1.3890 | 0.5359 | 1.3890 | 1.1786 |
| No log | 2.4062 | 154 | 1.2566 | 0.5465 | 1.2566 | 1.1210 |
| No log | 2.4375 | 156 | 1.3001 | 0.5577 | 1.3001 | 1.1402 |
| No log | 2.4688 | 158 | 1.3645 | 0.5442 | 1.3645 | 1.1681 |
| No log | 2.5 | 160 | 1.3477 | 0.5398 | 1.3477 | 1.1609 |
| No log | 2.5312 | 162 | 1.2664 | 0.5224 | 1.2664 | 1.1253 |
| No log | 2.5625 | 164 | 1.3026 | 0.5322 | 1.3026 | 1.1413 |
| No log | 2.5938 | 166 | 1.3331 | 0.5078 | 1.3331 | 1.1546 |
| No log | 2.625 | 168 | 1.2128 | 0.5212 | 1.2128 | 1.1013 |
| No log | 2.6562 | 170 | 0.9539 | 0.5680 | 0.9539 | 0.9767 |
| No log | 2.6875 | 172 | 0.8536 | 0.6125 | 0.8536 | 0.9239 |
| No log | 2.7188 | 174 | 0.8681 | 0.6113 | 0.8681 | 0.9317 |
| No log | 2.75 | 176 | 0.9521 | 0.5955 | 0.9521 | 0.9758 |
| No log | 2.7812 | 178 | 1.1323 | 0.5398 | 1.1323 | 1.0641 |
| No log | 2.8125 | 180 | 1.2572 | 0.5138 | 1.2572 | 1.1212 |
| No log | 2.8438 | 182 | 1.1447 | 0.5370 | 1.1447 | 1.0699 |
| No log | 2.875 | 184 | 0.9380 | 0.5484 | 0.9380 | 0.9685 |
| No log | 2.9062 | 186 | 0.7795 | 0.6424 | 0.7795 | 0.8829 |
| No log | 2.9375 | 188 | 0.7665 | 0.6289 | 0.7665 | 0.8755 |
| No log | 2.9688 | 190 | 0.7904 | 0.6526 | 0.7904 | 0.8890 |
| No log | 3.0 | 192 | 0.8715 | 0.6313 | 0.8715 | 0.9335 |
| No log | 3.0312 | 194 | 1.0309 | 0.5261 | 1.0309 | 1.0153 |
| No log | 3.0625 | 196 | 1.1032 | 0.5060 | 1.1032 | 1.0503 |
| No log | 3.0938 | 198 | 1.0177 | 0.5484 | 1.0177 | 1.0088 |
| No log | 3.125 | 200 | 0.8872 | 0.5895 | 0.8872 | 0.9419 |
| No log | 3.1562 | 202 | 0.8392 | 0.6145 | 0.8392 | 0.9161 |
| No log | 3.1875 | 204 | 0.8724 | 0.5992 | 0.8724 | 0.9340 |
| No log | 3.2188 | 206 | 0.9476 | 0.6230 | 0.9476 | 0.9734 |
| No log | 3.25 | 208 | 1.0591 | 0.6027 | 1.0591 | 1.0291 |
| No log | 3.2812 | 210 | 1.1046 | 0.5908 | 1.1046 | 1.0510 |
| No log | 3.3125 | 212 | 1.0836 | 0.5741 | 1.0836 | 1.0410 |
| No log | 3.3438 | 214 | 0.9984 | 0.5948 | 0.9984 | 0.9992 |
| No log | 3.375 | 216 | 0.8762 | 0.6381 | 0.8762 | 0.9361 |
| No log | 3.4062 | 218 | 0.7706 | 0.6347 | 0.7706 | 0.8778 |
| No log | 3.4375 | 220 | 0.7384 | 0.6562 | 0.7384 | 0.8593 |
| No log | 3.4688 | 222 | 0.7723 | 0.6112 | 0.7723 | 0.8788 |
| No log | 3.5 | 224 | 0.7927 | 0.6061 | 0.7927 | 0.8904 |
| No log | 3.5312 | 226 | 0.7824 | 0.6169 | 0.7824 | 0.8845 |
| No log | 3.5625 | 228 | 0.8371 | 0.6097 | 0.8371 | 0.9149 |
| No log | 3.5938 | 230 | 0.9191 | 0.5958 | 0.9191 | 0.9587 |
| No log | 3.625 | 232 | 0.9666 | 0.6128 | 0.9666 | 0.9831 |
| No log | 3.6562 | 234 | 1.0218 | 0.6156 | 1.0218 | 1.0108 |
| No log | 3.6875 | 236 | 1.2131 | 0.5745 | 1.2131 | 1.1014 |
| No log | 3.7188 | 238 | 1.4783 | 0.5586 | 1.4783 | 1.2158 |
| No log | 3.75 | 240 | 1.5133 | 0.5392 | 1.5133 | 1.2301 |
| No log | 3.7812 | 242 | 1.4301 | 0.5410 | 1.4301 | 1.1959 |
| No log | 3.8125 | 244 | 1.2314 | 0.5430 | 1.2314 | 1.1097 |
| No log | 3.8438 | 246 | 1.1733 | 0.5193 | 1.1733 | 1.0832 |
| No log | 3.875 | 248 | 1.1716 | 0.5442 | 1.1716 | 1.0824 |
| No log | 3.9062 | 250 | 1.1838 | 0.5736 | 1.1838 | 1.0880 |
| No log | 3.9375 | 252 | 1.2754 | 0.5740 | 1.2754 | 1.1294 |
| No log | 3.9688 | 254 | 1.2611 | 0.5719 | 1.2611 | 1.1230 |
| No log | 4.0 | 256 | 1.1030 | 0.5858 | 1.1030 | 1.0502 |
| No log | 4.0312 | 258 | 0.9313 | 0.5967 | 0.9313 | 0.9650 |
| No log | 4.0625 | 260 | 0.8650 | 0.5998 | 0.8650 | 0.9300 |
| No log | 4.0938 | 262 | 0.8663 | 0.6101 | 0.8663 | 0.9308 |
| No log | 4.125 | 264 | 0.9791 | 0.5873 | 0.9791 | 0.9895 |
| No log | 4.1562 | 266 | 1.2619 | 0.5998 | 1.2619 | 1.1233 |
| No log | 4.1875 | 268 | 1.6130 | 0.5305 | 1.6130 | 1.2700 |
| No log | 4.2188 | 270 | 1.6912 | 0.5337 | 1.6912 | 1.3005 |
| No log | 4.25 | 272 | 1.5302 | 0.5373 | 1.5302 | 1.2370 |
| No log | 4.2812 | 274 | 1.3529 | 0.5614 | 1.3529 | 1.1632 |
| No log | 4.3125 | 276 | 1.2916 | 0.5525 | 1.2916 | 1.1365 |
| No log | 4.3438 | 278 | 1.3921 | 0.5361 | 1.3921 | 1.1799 |
| No log | 4.375 | 280 | 1.4531 | 0.5150 | 1.4531 | 1.2054 |
| No log | 4.4062 | 282 | 1.4080 | 0.5014 | 1.4080 | 1.1866 |
| No log | 4.4375 | 284 | 1.2987 | 0.5110 | 1.2987 | 1.1396 |
| No log | 4.4688 | 286 | 1.0848 | 0.5322 | 1.0848 | 1.0415 |
| No log | 4.5 | 288 | 0.9431 | 0.5745 | 0.9431 | 0.9712 |
| No log | 4.5312 | 290 | 0.9242 | 0.5809 | 0.9242 | 0.9613 |
| No log | 4.5625 | 292 | 1.0299 | 0.5535 | 1.0299 | 1.0148 |
| No log | 4.5938 | 294 | 1.2823 | 0.5631 | 1.2823 | 1.1324 |
| No log | 4.625 | 296 | 1.4801 | 0.5337 | 1.4801 | 1.2166 |
| No log | 4.6562 | 298 | 1.4488 | 0.5422 | 1.4488 | 1.2037 |
| No log | 4.6875 | 300 | 1.2550 | 0.5495 | 1.2550 | 1.1203 |
| No log | 4.7188 | 302 | 1.1135 | 0.5661 | 1.1135 | 1.0552 |
| No log | 4.75 | 304 | 1.0484 | 0.5765 | 1.0484 | 1.0239 |
| No log | 4.7812 | 306 | 1.0036 | 0.5797 | 1.0036 | 1.0018 |
| No log | 4.8125 | 308 | 1.0259 | 0.5807 | 1.0259 | 1.0129 |
| No log | 4.8438 | 310 | 1.0279 | 0.5877 | 1.0279 | 1.0139 |
| No log | 4.875 | 312 | 1.0108 | 0.5842 | 1.0108 | 1.0054 |
| No log | 4.9062 | 314 | 1.0007 | 0.5895 | 1.0007 | 1.0004 |
| No log | 4.9375 | 316 | 0.9273 | 0.5961 | 0.9273 | 0.9630 |
| No log | 4.9688 | 318 | 0.8676 | 0.6023 | 0.8676 | 0.9314 |
| No log | 5.0 | 320 | 0.8435 | 0.6150 | 0.8435 | 0.9184 |
| No log | 5.0312 | 322 | 0.8343 | 0.6150 | 0.8343 | 0.9134 |
| No log | 5.0625 | 324 | 0.8017 | 0.6390 | 0.8017 | 0.8954 |
| No log | 5.0938 | 326 | 0.8292 | 0.6249 | 0.8292 | 0.9106 |
| No log | 5.125 | 328 | 0.9727 | 0.6006 | 0.9727 | 0.9863 |
| No log | 5.1562 | 330 | 1.0418 | 0.5919 | 1.0418 | 1.0207 |
| No log | 5.1875 | 332 | 0.9593 | 0.6210 | 0.9593 | 0.9794 |
| No log | 5.2188 | 334 | 0.9416 | 0.6210 | 0.9416 | 0.9704 |
| No log | 5.25 | 336 | 0.9724 | 0.6122 | 0.9724 | 0.9861 |
| No log | 5.2812 | 338 | 0.9857 | 0.5949 | 0.9857 | 0.9928 |
| No log | 5.3125 | 340 | 1.0134 | 0.5846 | 1.0134 | 1.0067 |
| No log | 5.3438 | 342 | 1.0560 | 0.5728 | 1.0560 | 1.0276 |
| No log | 5.375 | 344 | 0.9697 | 0.5903 | 0.9697 | 0.9847 |
| No log | 5.4062 | 346 | 0.8258 | 0.6382 | 0.8258 | 0.9088 |
| No log | 5.4375 | 348 | 0.7718 | 0.6921 | 0.7718 | 0.8785 |
| No log | 5.4688 | 350 | 0.7785 | 0.6704 | 0.7785 | 0.8823 |
| No log | 5.5 | 352 | 0.8403 | 0.6366 | 0.8403 | 0.9167 |
| No log | 5.5312 | 354 | 0.9514 | 0.6089 | 0.9514 | 0.9754 |
| No log | 5.5625 | 356 | 1.0273 | 0.6060 | 1.0273 | 1.0136 |
| No log | 5.5938 | 358 | 0.9770 | 0.6072 | 0.9770 | 0.9885 |
| No log | 5.625 | 360 | 0.8324 | 0.6064 | 0.8324 | 0.9124 |
| No log | 5.6562 | 362 | 0.7601 | 0.6596 | 0.7601 | 0.8719 |
| No log | 5.6875 | 364 | 0.7685 | 0.6506 | 0.7685 | 0.8767 |
| No log | 5.7188 | 366 | 0.8444 | 0.6315 | 0.8444 | 0.9189 |
| No log | 5.75 | 368 | 0.9631 | 0.6147 | 0.9631 | 0.9814 |
| No log | 5.7812 | 370 | 1.0085 | 0.5885 | 1.0085 | 1.0042 |
| No log | 5.8125 | 372 | 0.9683 | 0.5876 | 0.9683 | 0.9840 |
| No log | 5.8438 | 374 | 0.9107 | 0.5952 | 0.9107 | 0.9543 |
| No log | 5.875 | 376 | 0.8095 | 0.6573 | 0.8095 | 0.8997 |
| No log | 5.9062 | 378 | 0.7805 | 0.6607 | 0.7805 | 0.8835 |
| No log | 5.9375 | 380 | 0.8165 | 0.6396 | 0.8165 | 0.9036 |
| No log | 5.9688 | 382 | 0.8773 | 0.6277 | 0.8773 | 0.9366 |
| No log | 6.0 | 384 | 0.8726 | 0.6328 | 0.8726 | 0.9341 |
| No log | 6.0312 | 386 | 0.8902 | 0.6328 | 0.8902 | 0.9435 |
| No log | 6.0625 | 388 | 0.9817 | 0.5883 | 0.9817 | 0.9908 |
| No log | 6.0938 | 390 | 1.0674 | 0.6066 | 1.0674 | 1.0332 |
| No log | 6.125 | 392 | 1.0609 | 0.6066 | 1.0609 | 1.0300 |
| No log | 6.1562 | 394 | 0.9705 | 0.5951 | 0.9705 | 0.9851 |
| No log | 6.1875 | 396 | 0.9113 | 0.6031 | 0.9113 | 0.9546 |
| No log | 6.2188 | 398 | 0.9386 | 0.5999 | 0.9386 | 0.9688 |
| No log | 6.25 | 400 | 0.9996 | 0.5954 | 0.9996 | 0.9998 |
| No log | 6.2812 | 402 | 1.0868 | 0.5956 | 1.0868 | 1.0425 |
| No log | 6.3125 | 404 | 1.0650 | 0.6066 | 1.0650 | 1.0320 |
| No log | 6.3438 | 406 | 0.9801 | 0.6027 | 0.9801 | 0.9900 |
| No log | 6.375 | 408 | 0.8970 | 0.6301 | 0.8970 | 0.9471 |
| No log | 6.4062 | 410 | 0.8643 | 0.6221 | 0.8643 | 0.9297 |
| No log | 6.4375 | 412 | 0.8745 | 0.6286 | 0.8745 | 0.9351 |
| No log | 6.4688 | 414 | 0.9041 | 0.6182 | 0.9041 | 0.9509 |
| No log | 6.5 | 416 | 0.9357 | 0.6157 | 0.9357 | 0.9673 |
| No log | 6.5312 | 418 | 0.9765 | 0.5847 | 0.9765 | 0.9882 |
| No log | 6.5625 | 420 | 0.9681 | 0.5964 | 0.9681 | 0.9839 |
| No log | 6.5938 | 422 | 0.9588 | 0.5964 | 0.9588 | 0.9792 |
| No log | 6.625 | 424 | 0.9647 | 0.5984 | 0.9647 | 0.9822 |
| No log | 6.6562 | 426 | 0.9470 | 0.5929 | 0.9470 | 0.9732 |
| No log | 6.6875 | 428 | 0.9548 | 0.6069 | 0.9548 | 0.9771 |
| No log | 6.7188 | 430 | 0.9373 | 0.6268 | 0.9373 | 0.9681 |
| No log | 6.75 | 432 | 0.8828 | 0.6218 | 0.8828 | 0.9396 |
| No log | 6.7812 | 434 | 0.8891 | 0.6153 | 0.8891 | 0.9429 |
| No log | 6.8125 | 436 | 0.9299 | 0.6107 | 0.9299 | 0.9643 |
| No log | 6.8438 | 438 | 0.9519 | 0.6081 | 0.9519 | 0.9757 |
| No log | 6.875 | 440 | 0.9398 | 0.6120 | 0.9398 | 0.9695 |
| No log | 6.9062 | 442 | 0.9321 | 0.6098 | 0.9321 | 0.9655 |
| No log | 6.9375 | 444 | 0.8945 | 0.6080 | 0.8945 | 0.9458 |
| No log | 6.9688 | 446 | 0.8789 | 0.5959 | 0.8789 | 0.9375 |
| No log | 7.0 | 448 | 0.8909 | 0.5917 | 0.8909 | 0.9439 |
| No log | 7.0312 | 450 | 0.9385 | 0.5935 | 0.9385 | 0.9688 |
| No log | 7.0625 | 452 | 0.9979 | 0.5836 | 0.9979 | 0.9990 |
| No log | 7.0938 | 454 | 1.0671 | 0.5761 | 1.0671 | 1.0330 |
| No log | 7.125 | 456 | 1.0526 | 0.5771 | 1.0526 | 1.0259 |
| No log | 7.1562 | 458 | 0.9881 | 0.5894 | 0.9881 | 0.9940 |
| No log | 7.1875 | 460 | 0.9253 | 0.5988 | 0.9253 | 0.9619 |
| No log | 7.2188 | 462 | 0.8714 | 0.6292 | 0.8714 | 0.9335 |
| No log | 7.25 | 464 | 0.8790 | 0.6207 | 0.8790 | 0.9376 |
| No log | 7.2812 | 466 | 0.8889 | 0.6194 | 0.8889 | 0.9428 |
| No log | 7.3125 | 468 | 0.9366 | 0.6016 | 0.9366 | 0.9678 |
| No log | 7.3438 | 470 | 0.9642 | 0.6109 | 0.9642 | 0.9820 |
| No log | 7.375 | 472 | 0.9460 | 0.6057 | 0.9460 | 0.9726 |
| No log | 7.4062 | 474 | 0.9687 | 0.6091 | 0.9687 | 0.9842 |
| No log | 7.4375 | 476 | 0.9763 | 0.6018 | 0.9763 | 0.9881 |
| No log | 7.4688 | 478 | 0.9758 | 0.6018 | 0.9758 | 0.9878 |
| No log | 7.5 | 480 | 0.9971 | 0.6018 | 0.9971 | 0.9985 |
| No log | 7.5312 | 482 | 0.9993 | 0.5960 | 0.9993 | 0.9996 |
| No log | 7.5625 | 484 | 0.9724 | 0.6018 | 0.9724 | 0.9861 |
| No log | 7.5938 | 486 | 0.9612 | 0.6062 | 0.9612 | 0.9804 |
| No log | 7.625 | 488 | 0.9751 | 0.6058 | 0.9751 | 0.9875 |
| No log | 7.6562 | 490 | 1.0264 | 0.5907 | 1.0264 | 1.0131 |
| No log | 7.6875 | 492 | 1.0515 | 0.5888 | 1.0515 | 1.0254 |
| No log | 7.7188 | 494 | 1.0599 | 0.5708 | 1.0599 | 1.0295 |
| No log | 7.75 | 496 | 1.0495 | 0.5771 | 1.0495 | 1.0244 |
| No log | 7.7812 | 498 | 1.0192 | 0.5738 | 1.0192 | 1.0096 |
| 0.481 | 7.8125 | 500 | 0.9609 | 0.5667 | 0.9609 | 0.9802 |
| 0.481 | 7.8438 | 502 | 0.9227 | 0.5881 | 0.9227 | 0.9606 |
| 0.481 | 7.875 | 504 | 0.9061 | 0.6008 | 0.9061 | 0.9519 |
| 0.481 | 7.9062 | 506 | 0.8866 | 0.6388 | 0.8866 | 0.9416 |
| 0.481 | 7.9375 | 508 | 0.8932 | 0.6207 | 0.8932 | 0.9451 |
| 0.481 | 7.9688 | 510 | 0.9073 | 0.6079 | 0.9073 | 0.9525 |
| 0.481 | 8.0 | 512 | 0.9358 | 0.6015 | 0.9358 | 0.9674 |
| 0.481 | 8.0312 | 514 | 1.0005 | 0.5768 | 1.0005 | 1.0002 |
| 0.481 | 8.0625 | 516 | 1.0448 | 0.5997 | 1.0448 | 1.0222 |
| 0.481 | 8.0938 | 518 | 1.0318 | 0.5901 | 1.0318 | 1.0158 |
| 0.481 | 8.125 | 520 | 0.9750 | 0.5813 | 0.9750 | 0.9874 |
| 0.481 | 8.1562 | 522 | 0.9200 | 0.6068 | 0.9200 | 0.9591 |
| 0.481 | 8.1875 | 524 | 0.8760 | 0.6433 | 0.8760 | 0.9359 |
| 0.481 | 8.2188 | 526 | 0.8567 | 0.6486 | 0.8567 | 0.9256 |
| 0.481 | 8.25 | 528 | 0.8770 | 0.6433 | 0.8770 | 0.9365 |
| 0.481 | 8.2812 | 530 | 0.9219 | 0.6068 | 0.9219 | 0.9602 |
| 0.481 | 8.3125 | 532 | 0.9513 | 0.6103 | 0.9513 | 0.9753 |
| 0.481 | 8.3438 | 534 | 0.9542 | 0.6103 | 0.9542 | 0.9769 |
| 0.481 | 8.375 | 536 | 0.9674 | 0.6030 | 0.9674 | 0.9835 |
| 0.481 | 8.4062 | 538 | 0.9798 | 0.6006 | 0.9798 | 0.9898 |
| 0.481 | 8.4375 | 540 | 0.9898 | 0.5889 | 0.9898 | 0.9949 |
| 0.481 | 8.4688 | 542 | 0.9835 | 0.5900 | 0.9835 | 0.9917 |
| 0.481 | 8.5 | 544 | 0.9816 | 0.5935 | 0.9816 | 0.9908 |
| 0.481 | 8.5312 | 546 | 0.9597 | 0.5894 | 0.9597 | 0.9796 |
| 0.481 | 8.5625 | 548 | 0.9294 | 0.6063 | 0.9294 | 0.9641 |
| 0.481 | 8.5938 | 550 | 0.8943 | 0.6213 | 0.8943 | 0.9457 |
| 0.481 | 8.625 | 552 | 0.8876 | 0.6395 | 0.8876 | 0.9421 |
| 0.481 | 8.6562 | 554 | 0.9136 | 0.6008 | 0.9136 | 0.9558 |
| 0.481 | 8.6875 | 556 | 0.9463 | 0.5858 | 0.9463 | 0.9728 |
| 0.481 | 8.7188 | 558 | 0.9741 | 0.5847 | 0.9741 | 0.9870 |
| 0.481 | 8.75 | 560 | 1.0039 | 0.5746 | 1.0039 | 1.0020 |
| 0.481 | 8.7812 | 562 | 1.0030 | 0.5746 | 1.0030 | 1.0015 |
| 0.481 | 8.8125 | 564 | 0.9921 | 0.5746 | 0.9921 | 0.9960 |
| 0.481 | 8.8438 | 566 | 0.9758 | 0.5791 | 0.9758 | 0.9878 |
| 0.481 | 8.875 | 568 | 0.9585 | 0.5879 | 0.9585 | 0.9790 |
| 0.481 | 8.9062 | 570 | 0.9493 | 0.5820 | 0.9493 | 0.9743 |
| 0.481 | 8.9375 | 572 | 0.9614 | 0.6006 | 0.9614 | 0.9805 |
| 0.481 | 8.9688 | 574 | 0.9788 | 0.5867 | 0.9788 | 0.9893 |
| 0.481 | 9.0 | 576 | 0.9825 | 0.5867 | 0.9825 | 0.9912 |
| 0.481 | 9.0312 | 578 | 0.9959 | 0.5867 | 0.9959 | 0.9980 |
| 0.481 | 9.0625 | 580 | 0.9954 | 0.5867 | 0.9954 | 0.9977 |
| 0.481 | 9.0938 | 582 | 0.9934 | 0.5867 | 0.9934 | 0.9967 |
| 0.481 | 9.125 | 584 | 0.9932 | 0.5901 | 0.9932 | 0.9966 |
| 0.481 | 9.1562 | 586 | 0.9820 | 0.5867 | 0.9820 | 0.9910 |
| 0.481 | 9.1875 | 588 | 0.9796 | 0.5768 | 0.9796 | 0.9897 |
| 0.481 | 9.2188 | 590 | 0.9843 | 0.5768 | 0.9843 | 0.9921 |
| 0.481 | 9.25 | 592 | 0.9922 | 0.5867 | 0.9922 | 0.9961 |
| 0.481 | 9.2812 | 594 | 0.9975 | 0.5867 | 0.9975 | 0.9988 |
| 0.481 | 9.3125 | 596 | 1.0088 | 0.5738 | 1.0088 | 1.0044 |
| 0.481 | 9.3438 | 598 | 1.0311 | 0.5771 | 1.0310 | 1.0154 |
| 0.481 | 9.375 | 600 | 1.0416 | 0.5771 | 1.0416 | 1.0206 |
| 0.481 | 9.4062 | 602 | 1.0496 | 0.5868 | 1.0496 | 1.0245 |
| 0.481 | 9.4375 | 604 | 1.0601 | 0.5868 | 1.0601 | 1.0296 |
| 0.481 | 9.4688 | 606 | 1.0620 | 0.5868 | 1.0620 | 1.0305 |
| 0.481 | 9.5 | 608 | 1.0642 | 0.5868 | 1.0642 | 1.0316 |
| 0.481 | 9.5312 | 610 | 1.0640 | 0.5868 | 1.0640 | 1.0315 |
| 0.481 | 9.5625 | 612 | 1.0551 | 0.5868 | 1.0551 | 1.0272 |
| 0.481 | 9.5938 | 614 | 1.0359 | 0.5738 | 1.0359 | 1.0178 |
| 0.481 | 9.625 | 616 | 1.0206 | 0.5738 | 1.0206 | 1.0102 |
| 0.481 | 9.6562 | 618 | 1.0121 | 0.5738 | 1.0121 | 1.0060 |
| 0.481 | 9.6875 | 620 | 1.0118 | 0.5738 | 1.0118 | 1.0059 |
| 0.481 | 9.7188 | 622 | 1.0141 | 0.5738 | 1.0141 | 1.0070 |
| 0.481 | 9.75 | 624 | 1.0163 | 0.5738 | 1.0163 | 1.0081 |
| 0.481 | 9.7812 | 626 | 1.0201 | 0.5738 | 1.0201 | 1.0100 |
| 0.481 | 9.8125 | 628 | 1.0235 | 0.5738 | 1.0235 | 1.0117 |
| 0.481 | 9.8438 | 630 | 1.0302 | 0.5738 | 1.0302 | 1.0150 |
| 0.481 | 9.875 | 632 | 1.0354 | 0.5738 | 1.0354 | 1.0176 |
| 0.481 | 9.9062 | 634 | 1.0383 | 0.5738 | 1.0383 | 1.0190 |
| 0.481 | 9.9375 | 636 | 1.0388 | 0.5738 | 1.0388 | 1.0192 |
| 0.481 | 9.9688 | 638 | 1.0387 | 0.5738 | 1.0387 | 1.0192 |
| 0.481 | 10.0 | 640 | 1.0389 | 0.5738 | 1.0389 | 1.0193 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 4
Model tree for MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02