Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_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_run3_AugV5_k16_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_run3_AugV5_k16_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_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: 0.7459
- Qwk: 0.6350
- Mse: 0.7459
- Rmse: 0.8637
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 | 0.0253 | 2 | 5.3392 | -0.0006 | 5.3392 | 2.3107 |
| No log | 0.0506 | 4 | 3.3623 | 0.0701 | 3.3623 | 1.8336 |
| No log | 0.0759 | 6 | 1.9687 | 0.1294 | 1.9687 | 1.4031 |
| No log | 0.1013 | 8 | 1.5301 | 0.0913 | 1.5301 | 1.2370 |
| No log | 0.1266 | 10 | 1.5788 | -0.0169 | 1.5788 | 1.2565 |
| No log | 0.1519 | 12 | 1.3183 | 0.1201 | 1.3183 | 1.1482 |
| No log | 0.1772 | 14 | 1.3101 | 0.1037 | 1.3101 | 1.1446 |
| No log | 0.2025 | 16 | 1.5863 | -0.1097 | 1.5863 | 1.2595 |
| No log | 0.2278 | 18 | 2.1017 | -0.0953 | 2.1017 | 1.4497 |
| No log | 0.2532 | 20 | 1.8610 | -0.0037 | 1.8610 | 1.3642 |
| No log | 0.2785 | 22 | 1.3674 | 0.0678 | 1.3674 | 1.1693 |
| No log | 0.3038 | 24 | 1.1934 | 0.3378 | 1.1934 | 1.0924 |
| No log | 0.3291 | 26 | 1.1446 | 0.2773 | 1.1446 | 1.0699 |
| No log | 0.3544 | 28 | 1.1433 | 0.2939 | 1.1433 | 1.0692 |
| No log | 0.3797 | 30 | 1.1399 | 0.3185 | 1.1399 | 1.0677 |
| No log | 0.4051 | 32 | 1.1937 | 0.2245 | 1.1937 | 1.0926 |
| No log | 0.4304 | 34 | 1.2914 | 0.1737 | 1.2914 | 1.1364 |
| No log | 0.4557 | 36 | 1.2914 | 0.1481 | 1.2914 | 1.1364 |
| No log | 0.4810 | 38 | 1.1982 | 0.2469 | 1.1982 | 1.0946 |
| No log | 0.5063 | 40 | 1.1735 | 0.2694 | 1.1735 | 1.0833 |
| No log | 0.5316 | 42 | 1.2580 | 0.1194 | 1.2580 | 1.1216 |
| No log | 0.5570 | 44 | 1.7819 | 0.0298 | 1.7819 | 1.3349 |
| No log | 0.5823 | 46 | 2.0894 | 0.0480 | 2.0894 | 1.4455 |
| No log | 0.6076 | 48 | 2.0698 | 0.0806 | 2.0698 | 1.4387 |
| No log | 0.6329 | 50 | 1.7312 | 0.0817 | 1.7312 | 1.3158 |
| No log | 0.6582 | 52 | 1.2893 | 0.2251 | 1.2893 | 1.1355 |
| No log | 0.6835 | 54 | 1.0831 | 0.2850 | 1.0831 | 1.0407 |
| No log | 0.7089 | 56 | 1.0634 | 0.3358 | 1.0634 | 1.0312 |
| No log | 0.7342 | 58 | 1.0312 | 0.3013 | 1.0312 | 1.0155 |
| No log | 0.7595 | 60 | 1.1604 | 0.2152 | 1.1604 | 1.0772 |
| No log | 0.7848 | 62 | 1.4047 | 0.2257 | 1.4047 | 1.1852 |
| No log | 0.8101 | 64 | 1.4558 | 0.2491 | 1.4558 | 1.2066 |
| No log | 0.8354 | 66 | 1.3166 | 0.2468 | 1.3166 | 1.1474 |
| No log | 0.8608 | 68 | 1.1378 | 0.3167 | 1.1378 | 1.0667 |
| No log | 0.8861 | 70 | 1.0396 | 0.4062 | 1.0396 | 1.0196 |
| No log | 0.9114 | 72 | 1.0845 | 0.4077 | 1.0845 | 1.0414 |
| No log | 0.9367 | 74 | 1.3512 | 0.2791 | 1.3512 | 1.1624 |
| No log | 0.9620 | 76 | 1.3933 | 0.3228 | 1.3933 | 1.1804 |
| No log | 0.9873 | 78 | 1.3164 | 0.3428 | 1.3164 | 1.1474 |
| No log | 1.0127 | 80 | 1.1091 | 0.4700 | 1.1091 | 1.0531 |
| No log | 1.0380 | 82 | 0.8652 | 0.5179 | 0.8652 | 0.9302 |
| No log | 1.0633 | 84 | 0.8086 | 0.5318 | 0.8086 | 0.8992 |
| No log | 1.0886 | 86 | 0.8322 | 0.5070 | 0.8322 | 0.9123 |
| No log | 1.1139 | 88 | 0.8391 | 0.5296 | 0.8391 | 0.9160 |
| No log | 1.1392 | 90 | 0.8544 | 0.5329 | 0.8544 | 0.9243 |
| No log | 1.1646 | 92 | 0.8555 | 0.5020 | 0.8555 | 0.9249 |
| No log | 1.1899 | 94 | 0.9271 | 0.5239 | 0.9271 | 0.9629 |
| No log | 1.2152 | 96 | 1.1139 | 0.4755 | 1.1139 | 1.0554 |
| No log | 1.2405 | 98 | 1.5474 | 0.3593 | 1.5474 | 1.2439 |
| No log | 1.2658 | 100 | 1.7552 | 0.3153 | 1.7552 | 1.3248 |
| No log | 1.2911 | 102 | 1.4684 | 0.4217 | 1.4684 | 1.2118 |
| No log | 1.3165 | 104 | 1.1235 | 0.4447 | 1.1235 | 1.0599 |
| No log | 1.3418 | 106 | 0.8955 | 0.4986 | 0.8955 | 0.9463 |
| No log | 1.3671 | 108 | 0.8484 | 0.4524 | 0.8484 | 0.9211 |
| No log | 1.3924 | 110 | 0.8105 | 0.4985 | 0.8105 | 0.9003 |
| No log | 1.4177 | 112 | 0.7764 | 0.4809 | 0.7764 | 0.8811 |
| No log | 1.4430 | 114 | 0.7600 | 0.4965 | 0.7600 | 0.8718 |
| No log | 1.4684 | 116 | 0.7628 | 0.5789 | 0.7628 | 0.8734 |
| No log | 1.4937 | 118 | 0.8533 | 0.5063 | 0.8533 | 0.9237 |
| No log | 1.5190 | 120 | 0.8787 | 0.5063 | 0.8787 | 0.9374 |
| No log | 1.5443 | 122 | 0.8223 | 0.5772 | 0.8223 | 0.9068 |
| No log | 1.5696 | 124 | 0.7681 | 0.5513 | 0.7681 | 0.8764 |
| No log | 1.5949 | 126 | 0.7794 | 0.5173 | 0.7794 | 0.8829 |
| No log | 1.6203 | 128 | 0.7482 | 0.5502 | 0.7482 | 0.8650 |
| No log | 1.6456 | 130 | 0.7273 | 0.6231 | 0.7273 | 0.8528 |
| No log | 1.6709 | 132 | 0.7727 | 0.6171 | 0.7727 | 0.8791 |
| No log | 1.6962 | 134 | 0.7301 | 0.6442 | 0.7301 | 0.8545 |
| No log | 1.7215 | 136 | 0.7667 | 0.5502 | 0.7667 | 0.8756 |
| No log | 1.7468 | 138 | 0.8315 | 0.5481 | 0.8315 | 0.9118 |
| No log | 1.7722 | 140 | 0.9626 | 0.5238 | 0.9626 | 0.9811 |
| No log | 1.7975 | 142 | 0.8811 | 0.5093 | 0.8811 | 0.9387 |
| No log | 1.8228 | 144 | 0.7758 | 0.5276 | 0.7758 | 0.8808 |
| No log | 1.8481 | 146 | 0.8239 | 0.5442 | 0.8239 | 0.9077 |
| No log | 1.8734 | 148 | 0.8042 | 0.5581 | 0.8042 | 0.8968 |
| No log | 1.8987 | 150 | 0.7514 | 0.5873 | 0.7514 | 0.8669 |
| No log | 1.9241 | 152 | 0.7218 | 0.5768 | 0.7218 | 0.8496 |
| No log | 1.9494 | 154 | 0.7188 | 0.5920 | 0.7188 | 0.8478 |
| No log | 1.9747 | 156 | 0.7699 | 0.6288 | 0.7699 | 0.8774 |
| No log | 2.0 | 158 | 0.7602 | 0.6120 | 0.7602 | 0.8719 |
| No log | 2.0253 | 160 | 0.6883 | 0.6456 | 0.6883 | 0.8297 |
| No log | 2.0506 | 162 | 0.7084 | 0.6484 | 0.7084 | 0.8417 |
| No log | 2.0759 | 164 | 0.7713 | 0.6501 | 0.7713 | 0.8782 |
| No log | 2.1013 | 166 | 0.8215 | 0.6268 | 0.8215 | 0.9064 |
| No log | 2.1266 | 168 | 0.7379 | 0.6550 | 0.7379 | 0.8590 |
| No log | 2.1519 | 170 | 0.7554 | 0.6343 | 0.7554 | 0.8691 |
| No log | 2.1772 | 172 | 0.7438 | 0.6703 | 0.7438 | 0.8625 |
| No log | 2.2025 | 174 | 0.8224 | 0.5900 | 0.8224 | 0.9069 |
| No log | 2.2278 | 176 | 0.9167 | 0.5944 | 0.9167 | 0.9575 |
| No log | 2.2532 | 178 | 0.9318 | 0.5782 | 0.9317 | 0.9653 |
| No log | 2.2785 | 180 | 0.8124 | 0.6135 | 0.8124 | 0.9013 |
| No log | 2.3038 | 182 | 0.7778 | 0.6085 | 0.7778 | 0.8819 |
| No log | 2.3291 | 184 | 0.7466 | 0.6180 | 0.7466 | 0.8641 |
| No log | 2.3544 | 186 | 0.7216 | 0.5881 | 0.7216 | 0.8495 |
| No log | 2.3797 | 188 | 0.7352 | 0.6160 | 0.7352 | 0.8575 |
| No log | 2.4051 | 190 | 0.6957 | 0.6689 | 0.6957 | 0.8341 |
| No log | 2.4304 | 192 | 0.7275 | 0.6548 | 0.7275 | 0.8529 |
| No log | 2.4557 | 194 | 0.7590 | 0.6592 | 0.7590 | 0.8712 |
| No log | 2.4810 | 196 | 0.6754 | 0.6640 | 0.6754 | 0.8218 |
| No log | 2.5063 | 198 | 0.6710 | 0.6578 | 0.6710 | 0.8191 |
| No log | 2.5316 | 200 | 0.6678 | 0.6569 | 0.6678 | 0.8172 |
| No log | 2.5570 | 202 | 0.6800 | 0.6752 | 0.6800 | 0.8247 |
| No log | 2.5823 | 204 | 0.7044 | 0.6681 | 0.7044 | 0.8393 |
| No log | 2.6076 | 206 | 0.7057 | 0.6721 | 0.7057 | 0.8400 |
| No log | 2.6329 | 208 | 0.6864 | 0.6525 | 0.6864 | 0.8285 |
| No log | 2.6582 | 210 | 0.6883 | 0.6352 | 0.6883 | 0.8296 |
| No log | 2.6835 | 212 | 0.6762 | 0.6581 | 0.6762 | 0.8223 |
| No log | 2.7089 | 214 | 0.7318 | 0.5993 | 0.7318 | 0.8554 |
| No log | 2.7342 | 216 | 0.8810 | 0.6051 | 0.8810 | 0.9386 |
| No log | 2.7595 | 218 | 0.8901 | 0.6155 | 0.8901 | 0.9434 |
| No log | 2.7848 | 220 | 0.7806 | 0.5969 | 0.7806 | 0.8835 |
| No log | 2.8101 | 222 | 0.7460 | 0.6276 | 0.7460 | 0.8637 |
| No log | 2.8354 | 224 | 0.6880 | 0.6792 | 0.6880 | 0.8295 |
| No log | 2.8608 | 226 | 0.6757 | 0.6432 | 0.6757 | 0.8220 |
| No log | 2.8861 | 228 | 0.7096 | 0.6692 | 0.7096 | 0.8424 |
| No log | 2.9114 | 230 | 0.8332 | 0.6212 | 0.8332 | 0.9128 |
| No log | 2.9367 | 232 | 0.8209 | 0.6675 | 0.8209 | 0.9060 |
| No log | 2.9620 | 234 | 0.7796 | 0.6607 | 0.7796 | 0.8830 |
| No log | 2.9873 | 236 | 0.7185 | 0.6664 | 0.7185 | 0.8477 |
| No log | 3.0127 | 238 | 0.6964 | 0.6776 | 0.6964 | 0.8345 |
| No log | 3.0380 | 240 | 0.7393 | 0.6288 | 0.7393 | 0.8599 |
| No log | 3.0633 | 242 | 0.8039 | 0.5811 | 0.8039 | 0.8966 |
| No log | 3.0886 | 244 | 0.7467 | 0.5811 | 0.7467 | 0.8641 |
| No log | 3.1139 | 246 | 0.7155 | 0.6401 | 0.7155 | 0.8459 |
| No log | 3.1392 | 248 | 0.7107 | 0.6446 | 0.7107 | 0.8430 |
| No log | 3.1646 | 250 | 0.7237 | 0.6391 | 0.7237 | 0.8507 |
| No log | 3.1899 | 252 | 0.8010 | 0.6209 | 0.8010 | 0.8950 |
| No log | 3.2152 | 254 | 0.7424 | 0.6248 | 0.7424 | 0.8616 |
| No log | 3.2405 | 256 | 0.6718 | 0.6775 | 0.6718 | 0.8196 |
| No log | 3.2658 | 258 | 0.6852 | 0.6449 | 0.6852 | 0.8277 |
| No log | 3.2911 | 260 | 0.6960 | 0.6610 | 0.6960 | 0.8342 |
| No log | 3.3165 | 262 | 0.7238 | 0.6347 | 0.7238 | 0.8508 |
| No log | 3.3418 | 264 | 0.7145 | 0.6440 | 0.7145 | 0.8453 |
| No log | 3.3671 | 266 | 0.6898 | 0.6790 | 0.6898 | 0.8305 |
| No log | 3.3924 | 268 | 0.6962 | 0.6759 | 0.6962 | 0.8344 |
| No log | 3.4177 | 270 | 0.7853 | 0.6703 | 0.7853 | 0.8862 |
| No log | 3.4430 | 272 | 0.8837 | 0.6267 | 0.8837 | 0.9401 |
| No log | 3.4684 | 274 | 0.8365 | 0.6283 | 0.8365 | 0.9146 |
| No log | 3.4937 | 276 | 0.7226 | 0.6732 | 0.7226 | 0.8501 |
| No log | 3.5190 | 278 | 0.7452 | 0.6829 | 0.7452 | 0.8632 |
| No log | 3.5443 | 280 | 0.7568 | 0.6863 | 0.7568 | 0.8699 |
| No log | 3.5696 | 282 | 0.7372 | 0.7060 | 0.7372 | 0.8586 |
| No log | 3.5949 | 284 | 0.7638 | 0.6941 | 0.7638 | 0.8740 |
| No log | 3.6203 | 286 | 0.6844 | 0.6833 | 0.6844 | 0.8273 |
| No log | 3.6456 | 288 | 0.6906 | 0.6921 | 0.6906 | 0.8310 |
| No log | 3.6709 | 290 | 0.7709 | 0.6732 | 0.7709 | 0.8780 |
| No log | 3.6962 | 292 | 0.7299 | 0.6713 | 0.7299 | 0.8544 |
| No log | 3.7215 | 294 | 0.6445 | 0.6691 | 0.6445 | 0.8028 |
| No log | 3.7468 | 296 | 0.6414 | 0.6993 | 0.6414 | 0.8009 |
| No log | 3.7722 | 298 | 0.6360 | 0.6722 | 0.6360 | 0.7975 |
| No log | 3.7975 | 300 | 0.7197 | 0.7028 | 0.7197 | 0.8484 |
| No log | 3.8228 | 302 | 0.7820 | 0.6921 | 0.7820 | 0.8843 |
| No log | 3.8481 | 304 | 0.7125 | 0.7028 | 0.7125 | 0.8441 |
| No log | 3.8734 | 306 | 0.6624 | 0.7105 | 0.6624 | 0.8139 |
| No log | 3.8987 | 308 | 0.6585 | 0.7023 | 0.6585 | 0.8115 |
| No log | 3.9241 | 310 | 0.7046 | 0.6800 | 0.7046 | 0.8394 |
| No log | 3.9494 | 312 | 0.7052 | 0.6571 | 0.7052 | 0.8398 |
| No log | 3.9747 | 314 | 0.7824 | 0.6303 | 0.7824 | 0.8846 |
| No log | 4.0 | 316 | 0.9384 | 0.5403 | 0.9384 | 0.9687 |
| No log | 4.0253 | 318 | 1.2207 | 0.4770 | 1.2207 | 1.1049 |
| No log | 4.0506 | 320 | 1.1849 | 0.4829 | 1.1849 | 1.0886 |
| No log | 4.0759 | 322 | 0.9060 | 0.5386 | 0.9060 | 0.9519 |
| No log | 4.1013 | 324 | 0.7851 | 0.6190 | 0.7851 | 0.8860 |
| No log | 4.1266 | 326 | 0.8031 | 0.5995 | 0.8031 | 0.8961 |
| No log | 4.1519 | 328 | 0.9885 | 0.5260 | 0.9885 | 0.9942 |
| No log | 4.1772 | 330 | 1.0429 | 0.5311 | 1.0429 | 1.0212 |
| No log | 4.2025 | 332 | 0.9668 | 0.5488 | 0.9668 | 0.9832 |
| No log | 4.2278 | 334 | 0.7924 | 0.5800 | 0.7924 | 0.8902 |
| No log | 4.2532 | 336 | 0.6568 | 0.6672 | 0.6568 | 0.8104 |
| No log | 4.2785 | 338 | 0.6433 | 0.6815 | 0.6433 | 0.8020 |
| No log | 4.3038 | 340 | 0.6520 | 0.6782 | 0.6520 | 0.8075 |
| No log | 4.3291 | 342 | 0.7203 | 0.6750 | 0.7203 | 0.8487 |
| No log | 4.3544 | 344 | 0.8032 | 0.6477 | 0.8032 | 0.8962 |
| No log | 4.3797 | 346 | 0.7856 | 0.6684 | 0.7856 | 0.8864 |
| No log | 4.4051 | 348 | 0.7812 | 0.6609 | 0.7812 | 0.8838 |
| No log | 4.4304 | 350 | 0.7658 | 0.6664 | 0.7658 | 0.8751 |
| No log | 4.4557 | 352 | 0.7937 | 0.6739 | 0.7937 | 0.8909 |
| No log | 4.4810 | 354 | 0.8848 | 0.6384 | 0.8848 | 0.9407 |
| No log | 4.5063 | 356 | 1.0304 | 0.4958 | 1.0304 | 1.0151 |
| No log | 4.5316 | 358 | 1.0813 | 0.4979 | 1.0813 | 1.0399 |
| No log | 4.5570 | 360 | 1.1837 | 0.4409 | 1.1837 | 1.0880 |
| No log | 4.5823 | 362 | 1.1301 | 0.4732 | 1.1301 | 1.0630 |
| No log | 4.6076 | 364 | 0.9393 | 0.5466 | 0.9393 | 0.9692 |
| No log | 4.6329 | 366 | 0.7597 | 0.5824 | 0.7597 | 0.8716 |
| No log | 4.6582 | 368 | 0.6698 | 0.6632 | 0.6698 | 0.8184 |
| No log | 4.6835 | 370 | 0.6793 | 0.6674 | 0.6793 | 0.8242 |
| No log | 4.7089 | 372 | 0.7758 | 0.6350 | 0.7758 | 0.8808 |
| No log | 4.7342 | 374 | 0.9169 | 0.5890 | 0.9169 | 0.9576 |
| No log | 4.7595 | 376 | 0.8724 | 0.5952 | 0.8724 | 0.9340 |
| No log | 4.7848 | 378 | 0.7104 | 0.6555 | 0.7104 | 0.8429 |
| No log | 4.8101 | 380 | 0.6439 | 0.7000 | 0.6439 | 0.8024 |
| No log | 4.8354 | 382 | 0.6440 | 0.6704 | 0.6440 | 0.8025 |
| No log | 4.8608 | 384 | 0.6638 | 0.6672 | 0.6638 | 0.8147 |
| No log | 4.8861 | 386 | 0.7176 | 0.6444 | 0.7176 | 0.8471 |
| No log | 4.9114 | 388 | 0.7291 | 0.6203 | 0.7291 | 0.8538 |
| No log | 4.9367 | 390 | 0.7787 | 0.5618 | 0.7787 | 0.8824 |
| No log | 4.9620 | 392 | 0.7839 | 0.5663 | 0.7839 | 0.8854 |
| No log | 4.9873 | 394 | 0.7636 | 0.6255 | 0.7636 | 0.8738 |
| No log | 5.0127 | 396 | 0.7974 | 0.6099 | 0.7974 | 0.8930 |
| No log | 5.0380 | 398 | 1.0441 | 0.5395 | 1.0441 | 1.0218 |
| No log | 5.0633 | 400 | 1.1438 | 0.5387 | 1.1438 | 1.0695 |
| No log | 5.0886 | 402 | 0.9744 | 0.5767 | 0.9744 | 0.9871 |
| No log | 5.1139 | 404 | 0.8213 | 0.5847 | 0.8213 | 0.9063 |
| No log | 5.1392 | 406 | 0.8513 | 0.5664 | 0.8513 | 0.9227 |
| No log | 5.1646 | 408 | 0.8127 | 0.5570 | 0.8127 | 0.9015 |
| No log | 5.1899 | 410 | 0.7949 | 0.5582 | 0.7949 | 0.8916 |
| No log | 5.2152 | 412 | 0.8695 | 0.5209 | 0.8695 | 0.9324 |
| No log | 5.2405 | 414 | 0.8229 | 0.5717 | 0.8229 | 0.9072 |
| No log | 5.2658 | 416 | 0.6770 | 0.7015 | 0.6770 | 0.8228 |
| No log | 5.2911 | 418 | 0.6120 | 0.7099 | 0.6120 | 0.7823 |
| No log | 5.3165 | 420 | 0.6238 | 0.7071 | 0.6238 | 0.7898 |
| No log | 5.3418 | 422 | 0.6568 | 0.7074 | 0.6568 | 0.8104 |
| No log | 5.3671 | 424 | 0.6928 | 0.6929 | 0.6928 | 0.8323 |
| No log | 5.3924 | 426 | 0.6996 | 0.6703 | 0.6996 | 0.8364 |
| No log | 5.4177 | 428 | 0.7370 | 0.6754 | 0.7370 | 0.8585 |
| No log | 5.4430 | 430 | 0.8709 | 0.5691 | 0.8709 | 0.9332 |
| No log | 5.4684 | 432 | 0.8705 | 0.5331 | 0.8705 | 0.9330 |
| No log | 5.4937 | 434 | 0.7326 | 0.6463 | 0.7326 | 0.8559 |
| No log | 5.5190 | 436 | 0.6725 | 0.7105 | 0.6725 | 0.8201 |
| No log | 5.5443 | 438 | 0.6993 | 0.6846 | 0.6993 | 0.8362 |
| No log | 5.5696 | 440 | 0.8494 | 0.6032 | 0.8494 | 0.9216 |
| No log | 5.5949 | 442 | 0.9076 | 0.5434 | 0.9076 | 0.9527 |
| No log | 5.6203 | 444 | 0.9135 | 0.5424 | 0.9135 | 0.9558 |
| No log | 5.6456 | 446 | 0.8438 | 0.5919 | 0.8438 | 0.9186 |
| No log | 5.6709 | 448 | 0.9036 | 0.5605 | 0.9036 | 0.9506 |
| No log | 5.6962 | 450 | 0.9445 | 0.5681 | 0.9445 | 0.9719 |
| No log | 5.7215 | 452 | 0.8537 | 0.5930 | 0.8537 | 0.9240 |
| No log | 5.7468 | 454 | 0.6908 | 0.6791 | 0.6908 | 0.8311 |
| No log | 5.7722 | 456 | 0.6370 | 0.6850 | 0.6370 | 0.7981 |
| No log | 5.7975 | 458 | 0.6596 | 0.6888 | 0.6596 | 0.8122 |
| No log | 5.8228 | 460 | 0.8235 | 0.6180 | 0.8235 | 0.9075 |
| No log | 5.8481 | 462 | 0.8996 | 0.5681 | 0.8996 | 0.9485 |
| No log | 5.8734 | 464 | 0.8208 | 0.6196 | 0.8208 | 0.9060 |
| No log | 5.8987 | 466 | 0.6927 | 0.6791 | 0.6927 | 0.8323 |
| No log | 5.9241 | 468 | 0.6437 | 0.7051 | 0.6437 | 0.8023 |
| No log | 5.9494 | 470 | 0.6526 | 0.6817 | 0.6526 | 0.8078 |
| No log | 5.9747 | 472 | 0.6757 | 0.6284 | 0.6757 | 0.8220 |
| No log | 6.0 | 474 | 0.7165 | 0.6221 | 0.7165 | 0.8465 |
| No log | 6.0253 | 476 | 0.7011 | 0.6417 | 0.7011 | 0.8373 |
| No log | 6.0506 | 478 | 0.6602 | 0.6532 | 0.6602 | 0.8125 |
| No log | 6.0759 | 480 | 0.6424 | 0.6817 | 0.6424 | 0.8015 |
| No log | 6.1013 | 482 | 0.6357 | 0.6979 | 0.6357 | 0.7973 |
| No log | 6.1266 | 484 | 0.6354 | 0.6979 | 0.6354 | 0.7971 |
| No log | 6.1519 | 486 | 0.6500 | 0.6832 | 0.6500 | 0.8063 |
| No log | 6.1772 | 488 | 0.7445 | 0.6135 | 0.7445 | 0.8629 |
| No log | 6.2025 | 490 | 0.7687 | 0.6157 | 0.7687 | 0.8768 |
| No log | 6.2278 | 492 | 0.6939 | 0.6500 | 0.6939 | 0.8330 |
| No log | 6.2532 | 494 | 0.6306 | 0.6683 | 0.6306 | 0.7941 |
| No log | 6.2785 | 496 | 0.6299 | 0.6440 | 0.6299 | 0.7937 |
| No log | 6.3038 | 498 | 0.6175 | 0.6867 | 0.6175 | 0.7858 |
| 0.4876 | 6.3291 | 500 | 0.6491 | 0.6610 | 0.6491 | 0.8057 |
| 0.4876 | 6.3544 | 502 | 0.7137 | 0.6116 | 0.7137 | 0.8448 |
| 0.4876 | 6.3797 | 504 | 0.8058 | 0.6356 | 0.8058 | 0.8977 |
| 0.4876 | 6.4051 | 506 | 0.7783 | 0.6676 | 0.7783 | 0.8822 |
| 0.4876 | 6.4304 | 508 | 0.6727 | 0.6848 | 0.6727 | 0.8202 |
| 0.4876 | 6.4557 | 510 | 0.6340 | 0.7095 | 0.6340 | 0.7963 |
| 0.4876 | 6.4810 | 512 | 0.6406 | 0.7095 | 0.6406 | 0.8004 |
| 0.4876 | 6.5063 | 514 | 0.6681 | 0.6735 | 0.6681 | 0.8174 |
| 0.4876 | 6.5316 | 516 | 0.6977 | 0.6436 | 0.6977 | 0.8353 |
| 0.4876 | 6.5570 | 518 | 0.7114 | 0.6353 | 0.7114 | 0.8434 |
| 0.4876 | 6.5823 | 520 | 0.6642 | 0.6841 | 0.6642 | 0.8150 |
| 0.4876 | 6.6076 | 522 | 0.6496 | 0.6841 | 0.6496 | 0.8060 |
| 0.4876 | 6.6329 | 524 | 0.6447 | 0.7084 | 0.6447 | 0.8029 |
| 0.4876 | 6.6582 | 526 | 0.7221 | 0.6914 | 0.7221 | 0.8498 |
| 0.4876 | 6.6835 | 528 | 0.8400 | 0.6695 | 0.8400 | 0.9165 |
| 0.4876 | 6.7089 | 530 | 0.8738 | 0.6677 | 0.8738 | 0.9348 |
| 0.4876 | 6.7342 | 532 | 0.7508 | 0.6648 | 0.7508 | 0.8665 |
| 0.4876 | 6.7595 | 534 | 0.6464 | 0.6971 | 0.6464 | 0.8040 |
| 0.4876 | 6.7848 | 536 | 0.6284 | 0.6798 | 0.6284 | 0.7927 |
| 0.4876 | 6.8101 | 538 | 0.6308 | 0.6798 | 0.6308 | 0.7942 |
| 0.4876 | 6.8354 | 540 | 0.6477 | 0.6868 | 0.6477 | 0.8048 |
| 0.4876 | 6.8608 | 542 | 0.7173 | 0.6546 | 0.7173 | 0.8469 |
| 0.4876 | 6.8861 | 544 | 0.8235 | 0.6509 | 0.8235 | 0.9075 |
| 0.4876 | 6.9114 | 546 | 0.9207 | 0.6392 | 0.9207 | 0.9596 |
| 0.4876 | 6.9367 | 548 | 0.8370 | 0.6704 | 0.8370 | 0.9149 |
| 0.4876 | 6.9620 | 550 | 0.6621 | 0.7163 | 0.6621 | 0.8137 |
| 0.4876 | 6.9873 | 552 | 0.6027 | 0.6846 | 0.6027 | 0.7763 |
| 0.4876 | 7.0127 | 554 | 0.6354 | 0.6964 | 0.6354 | 0.7971 |
| 0.4876 | 7.0380 | 556 | 0.6080 | 0.6807 | 0.6080 | 0.7798 |
| 0.4876 | 7.0633 | 558 | 0.6222 | 0.7327 | 0.6222 | 0.7888 |
| 0.4876 | 7.0886 | 560 | 0.7493 | 0.6551 | 0.7493 | 0.8656 |
| 0.4876 | 7.1139 | 562 | 0.7616 | 0.6351 | 0.7616 | 0.8727 |
| 0.4876 | 7.1392 | 564 | 0.6700 | 0.6591 | 0.6700 | 0.8185 |
| 0.4876 | 7.1646 | 566 | 0.6218 | 0.7076 | 0.6218 | 0.7885 |
| 0.4876 | 7.1899 | 568 | 0.6138 | 0.6951 | 0.6138 | 0.7835 |
| 0.4876 | 7.2152 | 570 | 0.6155 | 0.7160 | 0.6155 | 0.7845 |
| 0.4876 | 7.2405 | 572 | 0.6632 | 0.7077 | 0.6632 | 0.8143 |
| 0.4876 | 7.2658 | 574 | 0.7650 | 0.6760 | 0.7650 | 0.8747 |
| 0.4876 | 7.2911 | 576 | 0.8404 | 0.6937 | 0.8404 | 0.9167 |
| 0.4876 | 7.3165 | 578 | 0.7892 | 0.6714 | 0.7892 | 0.8884 |
| 0.4876 | 7.3418 | 580 | 0.6961 | 0.6866 | 0.6961 | 0.8344 |
| 0.4876 | 7.3671 | 582 | 0.6656 | 0.6972 | 0.6656 | 0.8158 |
| 0.4876 | 7.3924 | 584 | 0.6719 | 0.6867 | 0.6719 | 0.8197 |
| 0.4876 | 7.4177 | 586 | 0.6995 | 0.6646 | 0.6995 | 0.8364 |
| 0.4876 | 7.4430 | 588 | 0.6959 | 0.6494 | 0.6959 | 0.8342 |
| 0.4876 | 7.4684 | 590 | 0.7541 | 0.6429 | 0.7541 | 0.8684 |
| 0.4876 | 7.4937 | 592 | 0.7537 | 0.6329 | 0.7537 | 0.8682 |
| 0.4876 | 7.5190 | 594 | 0.7187 | 0.6365 | 0.7187 | 0.8477 |
| 0.4876 | 7.5443 | 596 | 0.7459 | 0.6350 | 0.7459 | 0.8637 |
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_run3_AugV5_k16_task1_organization
Base model
aubmindlab/bert-base-arabertv02