Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k20_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k20_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k20_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k20_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k20_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k20_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: 0.6815
- 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 | 0.0220 | 2 | 6.9880 | 0.0179 | 6.9880 | 2.6435 |
| No log | 0.0440 | 4 | 4.6853 | 0.0679 | 4.6853 | 2.1646 |
| No log | 0.0659 | 6 | 3.4574 | -0.0109 | 3.4574 | 1.8594 |
| No log | 0.0879 | 8 | 2.5776 | 0.1633 | 2.5776 | 1.6055 |
| No log | 0.1099 | 10 | 1.9973 | 0.1094 | 1.9973 | 1.4133 |
| No log | 0.1319 | 12 | 1.8992 | 0.3167 | 1.8992 | 1.3781 |
| No log | 0.1538 | 14 | 2.1183 | 0.1791 | 2.1183 | 1.4554 |
| No log | 0.1758 | 16 | 2.7188 | 0.0263 | 2.7188 | 1.6489 |
| No log | 0.1978 | 18 | 3.2133 | 0.0629 | 3.2133 | 1.7926 |
| No log | 0.2198 | 20 | 3.3297 | 0.0727 | 3.3297 | 1.8247 |
| No log | 0.2418 | 22 | 2.8875 | 0.0 | 2.8875 | 1.6993 |
| No log | 0.2637 | 24 | 1.9937 | 0.2734 | 1.9937 | 1.4120 |
| No log | 0.2857 | 26 | 1.5442 | 0.3158 | 1.5442 | 1.2427 |
| No log | 0.3077 | 28 | 1.4263 | 0.1698 | 1.4263 | 1.1943 |
| No log | 0.3297 | 30 | 1.5133 | 0.3036 | 1.5133 | 1.2302 |
| No log | 0.3516 | 32 | 2.1577 | 0.0979 | 2.1577 | 1.4689 |
| No log | 0.3736 | 34 | 2.1694 | 0.1571 | 2.1694 | 1.4729 |
| No log | 0.3956 | 36 | 1.8815 | 0.3651 | 1.8815 | 1.3717 |
| No log | 0.4176 | 38 | 2.0524 | 0.1926 | 2.0524 | 1.4326 |
| No log | 0.4396 | 40 | 1.8442 | 0.3651 | 1.8442 | 1.3580 |
| No log | 0.4615 | 42 | 1.4638 | 0.3248 | 1.4638 | 1.2099 |
| No log | 0.4835 | 44 | 1.2888 | 0.5041 | 1.2888 | 1.1353 |
| No log | 0.5055 | 46 | 1.3249 | 0.4921 | 1.3249 | 1.1510 |
| No log | 0.5275 | 48 | 1.4544 | 0.3697 | 1.4544 | 1.2060 |
| No log | 0.5495 | 50 | 2.0056 | 0.2628 | 2.0056 | 1.4162 |
| No log | 0.5714 | 52 | 1.7865 | 0.3231 | 1.7865 | 1.3366 |
| No log | 0.5934 | 54 | 1.2240 | 0.4553 | 1.2240 | 1.1063 |
| No log | 0.6154 | 56 | 1.1064 | 0.4833 | 1.1064 | 1.0519 |
| No log | 0.6374 | 58 | 1.1127 | 0.4959 | 1.1127 | 1.0548 |
| No log | 0.6593 | 60 | 0.9931 | 0.5920 | 0.9931 | 0.9966 |
| No log | 0.6813 | 62 | 1.0330 | 0.5891 | 1.0330 | 1.0164 |
| No log | 0.7033 | 64 | 1.1711 | 0.5238 | 1.1711 | 1.0822 |
| No log | 0.7253 | 66 | 1.2289 | 0.5397 | 1.2289 | 1.1086 |
| No log | 0.7473 | 68 | 0.9504 | 0.6299 | 0.9504 | 0.9749 |
| No log | 0.7692 | 70 | 1.2318 | 0.5180 | 1.2318 | 1.1099 |
| No log | 0.7912 | 72 | 1.2054 | 0.5532 | 1.2054 | 1.0979 |
| No log | 0.8132 | 74 | 1.0344 | 0.5203 | 1.0344 | 1.0170 |
| No log | 0.8352 | 76 | 1.1173 | 0.5042 | 1.1173 | 1.0570 |
| No log | 0.8571 | 78 | 1.2326 | 0.5323 | 1.2326 | 1.1102 |
| No log | 0.8791 | 80 | 1.0462 | 0.5600 | 1.0462 | 1.0228 |
| No log | 0.9011 | 82 | 0.9372 | 0.5968 | 0.9372 | 0.9681 |
| No log | 0.9231 | 84 | 0.8935 | 0.6094 | 0.8935 | 0.9452 |
| No log | 0.9451 | 86 | 0.8202 | 0.6963 | 0.8202 | 0.9057 |
| No log | 0.9670 | 88 | 0.7719 | 0.7050 | 0.7719 | 0.8786 |
| No log | 0.9890 | 90 | 1.0054 | 0.5821 | 1.0054 | 1.0027 |
| No log | 1.0110 | 92 | 1.2057 | 0.5547 | 1.2057 | 1.0980 |
| No log | 1.0330 | 94 | 1.2621 | 0.5294 | 1.2621 | 1.1234 |
| No log | 1.0549 | 96 | 1.1586 | 0.5547 | 1.1586 | 1.0764 |
| No log | 1.0769 | 98 | 1.1064 | 0.5797 | 1.1064 | 1.0519 |
| No log | 1.0989 | 100 | 0.7719 | 0.7248 | 0.7719 | 0.8786 |
| No log | 1.1209 | 102 | 0.7281 | 0.7947 | 0.7281 | 0.8533 |
| No log | 1.1429 | 104 | 0.7505 | 0.7639 | 0.7505 | 0.8663 |
| No log | 1.1648 | 106 | 0.7880 | 0.7259 | 0.7880 | 0.8877 |
| No log | 1.1868 | 108 | 0.7838 | 0.6565 | 0.7838 | 0.8853 |
| No log | 1.2088 | 110 | 0.8043 | 0.7259 | 0.8043 | 0.8968 |
| No log | 1.2308 | 112 | 1.1086 | 0.5147 | 1.1086 | 1.0529 |
| No log | 1.2527 | 114 | 1.0394 | 0.6316 | 1.0394 | 1.0195 |
| No log | 1.2747 | 116 | 0.8362 | 0.7023 | 0.8362 | 0.9144 |
| No log | 1.2967 | 118 | 0.8089 | 0.6667 | 0.8089 | 0.8994 |
| No log | 1.3187 | 120 | 0.7782 | 0.7206 | 0.7782 | 0.8822 |
| No log | 1.3407 | 122 | 0.9460 | 0.6269 | 0.9460 | 0.9726 |
| No log | 1.3626 | 124 | 1.3034 | 0.4965 | 1.3034 | 1.1416 |
| No log | 1.3846 | 126 | 1.2213 | 0.5571 | 1.2213 | 1.1051 |
| No log | 1.4066 | 128 | 1.1011 | 0.6241 | 1.1011 | 1.0493 |
| No log | 1.4286 | 130 | 0.9027 | 0.6621 | 0.9027 | 0.9501 |
| No log | 1.4505 | 132 | 0.8861 | 0.6111 | 0.8861 | 0.9413 |
| No log | 1.4725 | 134 | 1.0215 | 0.6197 | 1.0215 | 1.0107 |
| No log | 1.4945 | 136 | 1.0817 | 0.5874 | 1.0817 | 1.0400 |
| No log | 1.5165 | 138 | 0.8639 | 0.7075 | 0.8639 | 0.9295 |
| No log | 1.5385 | 140 | 0.8213 | 0.7260 | 0.8213 | 0.9063 |
| No log | 1.5604 | 142 | 0.8117 | 0.7222 | 0.8117 | 0.9009 |
| No log | 1.5824 | 144 | 0.8415 | 0.7273 | 0.8415 | 0.9173 |
| No log | 1.6044 | 146 | 0.9306 | 0.6466 | 0.9306 | 0.9647 |
| No log | 1.6264 | 148 | 1.1238 | 0.5564 | 1.1238 | 1.0601 |
| No log | 1.6484 | 150 | 1.0576 | 0.5865 | 1.0576 | 1.0284 |
| No log | 1.6703 | 152 | 0.8217 | 0.6515 | 0.8217 | 0.9065 |
| No log | 1.6923 | 154 | 0.7343 | 0.7376 | 0.7343 | 0.8569 |
| No log | 1.7143 | 156 | 0.6986 | 0.7413 | 0.6986 | 0.8358 |
| No log | 1.7363 | 158 | 0.7752 | 0.7020 | 0.7752 | 0.8805 |
| No log | 1.7582 | 160 | 1.0930 | 0.6351 | 1.0930 | 1.0454 |
| No log | 1.7802 | 162 | 1.2094 | 0.5772 | 1.2094 | 1.0997 |
| No log | 1.8022 | 164 | 1.2541 | 0.5616 | 1.2541 | 1.1199 |
| No log | 1.8242 | 166 | 0.9908 | 0.6621 | 0.9908 | 0.9954 |
| No log | 1.8462 | 168 | 0.7908 | 0.7034 | 0.7908 | 0.8892 |
| No log | 1.8681 | 170 | 0.7432 | 0.7413 | 0.7432 | 0.8621 |
| No log | 1.8901 | 172 | 0.7828 | 0.7143 | 0.7828 | 0.8847 |
| No log | 1.9121 | 174 | 1.0866 | 0.5899 | 1.0866 | 1.0424 |
| No log | 1.9341 | 176 | 1.3382 | 0.4965 | 1.3382 | 1.1568 |
| No log | 1.9560 | 178 | 1.1103 | 0.5652 | 1.1103 | 1.0537 |
| No log | 1.9780 | 180 | 0.7548 | 0.7194 | 0.7548 | 0.8688 |
| No log | 2.0 | 182 | 0.6888 | 0.7639 | 0.6888 | 0.8299 |
| No log | 2.0220 | 184 | 0.6690 | 0.7722 | 0.6690 | 0.8180 |
| No log | 2.0440 | 186 | 0.6131 | 0.8267 | 0.6131 | 0.7830 |
| No log | 2.0659 | 188 | 0.7747 | 0.6621 | 0.7747 | 0.8802 |
| No log | 2.0879 | 190 | 0.8661 | 0.6531 | 0.8661 | 0.9306 |
| No log | 2.1099 | 192 | 0.7284 | 0.7211 | 0.7284 | 0.8535 |
| No log | 2.1319 | 194 | 0.7312 | 0.7763 | 0.7312 | 0.8551 |
| No log | 2.1538 | 196 | 0.7664 | 0.7436 | 0.7664 | 0.8755 |
| No log | 2.1758 | 198 | 0.7157 | 0.7547 | 0.7157 | 0.8460 |
| No log | 2.1978 | 200 | 0.6148 | 0.8075 | 0.6148 | 0.7841 |
| No log | 2.2198 | 202 | 0.8181 | 0.6434 | 0.8181 | 0.9045 |
| No log | 2.2418 | 204 | 0.8441 | 0.6434 | 0.8441 | 0.9188 |
| No log | 2.2637 | 206 | 0.7437 | 0.6950 | 0.7437 | 0.8624 |
| No log | 2.2857 | 208 | 0.7490 | 0.7448 | 0.7490 | 0.8654 |
| No log | 2.3077 | 210 | 0.7587 | 0.7383 | 0.7587 | 0.8710 |
| No log | 2.3297 | 212 | 0.7022 | 0.7671 | 0.7022 | 0.8379 |
| No log | 2.3516 | 214 | 0.7796 | 0.6713 | 0.7796 | 0.8830 |
| No log | 2.3736 | 216 | 0.9241 | 0.6345 | 0.9241 | 0.9613 |
| No log | 2.3956 | 218 | 0.7856 | 0.6483 | 0.7856 | 0.8863 |
| No log | 2.4176 | 220 | 0.5617 | 0.8387 | 0.5617 | 0.7494 |
| No log | 2.4396 | 222 | 0.5728 | 0.8176 | 0.5728 | 0.7568 |
| No log | 2.4615 | 224 | 0.5974 | 0.7815 | 0.5974 | 0.7729 |
| No log | 2.4835 | 226 | 0.6072 | 0.7733 | 0.6072 | 0.7792 |
| No log | 2.5055 | 228 | 0.6239 | 0.8082 | 0.6239 | 0.7899 |
| No log | 2.5275 | 230 | 0.6743 | 0.7194 | 0.6743 | 0.8211 |
| No log | 2.5495 | 232 | 0.7957 | 0.6522 | 0.7957 | 0.8920 |
| No log | 2.5714 | 234 | 0.7449 | 0.6667 | 0.7449 | 0.8631 |
| No log | 2.5934 | 236 | 0.6658 | 0.7391 | 0.6658 | 0.8160 |
| No log | 2.6154 | 238 | 0.6271 | 0.7536 | 0.6271 | 0.7919 |
| No log | 2.6374 | 240 | 0.6640 | 0.7445 | 0.6640 | 0.8149 |
| No log | 2.6593 | 242 | 0.6153 | 0.7862 | 0.6153 | 0.7844 |
| No log | 2.6813 | 244 | 0.5890 | 0.7973 | 0.5890 | 0.7675 |
| No log | 2.7033 | 246 | 0.5981 | 0.8079 | 0.5981 | 0.7734 |
| No log | 2.7253 | 248 | 0.7590 | 0.6479 | 0.7590 | 0.8712 |
| No log | 2.7473 | 250 | 0.7764 | 0.6479 | 0.7764 | 0.8811 |
| No log | 2.7692 | 252 | 0.6616 | 0.8 | 0.6616 | 0.8134 |
| No log | 2.7912 | 254 | 0.6767 | 0.7397 | 0.6767 | 0.8226 |
| No log | 2.8132 | 256 | 0.8441 | 0.6331 | 0.8441 | 0.9187 |
| No log | 2.8352 | 258 | 0.8825 | 0.5839 | 0.8825 | 0.9394 |
| No log | 2.8571 | 260 | 0.8848 | 0.5882 | 0.8848 | 0.9406 |
| No log | 2.8791 | 262 | 0.8080 | 0.6475 | 0.8080 | 0.8989 |
| No log | 2.9011 | 264 | 0.7472 | 0.6993 | 0.7472 | 0.8644 |
| No log | 2.9231 | 266 | 0.7255 | 0.6993 | 0.7255 | 0.8518 |
| No log | 2.9451 | 268 | 0.6539 | 0.7483 | 0.6539 | 0.8087 |
| No log | 2.9670 | 270 | 0.6102 | 0.7586 | 0.6102 | 0.7811 |
| No log | 2.9890 | 272 | 0.6297 | 0.7338 | 0.6297 | 0.7935 |
| No log | 3.0110 | 274 | 0.6694 | 0.7626 | 0.6694 | 0.8182 |
| No log | 3.0330 | 276 | 0.7150 | 0.6957 | 0.7150 | 0.8455 |
| No log | 3.0549 | 278 | 0.6310 | 0.7746 | 0.6310 | 0.7944 |
| No log | 3.0769 | 280 | 0.6469 | 0.7591 | 0.6469 | 0.8043 |
| No log | 3.0989 | 282 | 0.6109 | 0.7571 | 0.6109 | 0.7816 |
| No log | 3.1209 | 284 | 0.5472 | 0.8082 | 0.5472 | 0.7397 |
| No log | 3.1429 | 286 | 0.5834 | 0.7692 | 0.5834 | 0.7638 |
| No log | 3.1648 | 288 | 0.7302 | 0.7034 | 0.7302 | 0.8545 |
| No log | 3.1868 | 290 | 0.7401 | 0.7083 | 0.7401 | 0.8603 |
| No log | 3.2088 | 292 | 0.7022 | 0.7246 | 0.7022 | 0.8380 |
| No log | 3.2308 | 294 | 0.7595 | 0.6763 | 0.7595 | 0.8715 |
| No log | 3.2527 | 296 | 0.7818 | 0.6222 | 0.7818 | 0.8842 |
| No log | 3.2747 | 298 | 0.7668 | 0.7391 | 0.7668 | 0.8757 |
| No log | 3.2967 | 300 | 0.7767 | 0.7353 | 0.7767 | 0.8813 |
| No log | 3.3187 | 302 | 0.7340 | 0.7552 | 0.7340 | 0.8568 |
| No log | 3.3407 | 304 | 0.7579 | 0.7190 | 0.7579 | 0.8706 |
| No log | 3.3626 | 306 | 0.8193 | 0.6974 | 0.8193 | 0.9051 |
| No log | 3.3846 | 308 | 0.7579 | 0.7226 | 0.7579 | 0.8706 |
| No log | 3.4066 | 310 | 0.6683 | 0.7234 | 0.6683 | 0.8175 |
| No log | 3.4286 | 312 | 0.7934 | 0.7050 | 0.7934 | 0.8907 |
| No log | 3.4505 | 314 | 0.8649 | 0.6861 | 0.8649 | 0.9300 |
| No log | 3.4725 | 316 | 0.7756 | 0.7050 | 0.7756 | 0.8807 |
| No log | 3.4945 | 318 | 0.6703 | 0.7465 | 0.6703 | 0.8187 |
| No log | 3.5165 | 320 | 0.6459 | 0.7234 | 0.6459 | 0.8037 |
| No log | 3.5385 | 322 | 0.6426 | 0.7465 | 0.6426 | 0.8016 |
| No log | 3.5604 | 324 | 0.7035 | 0.7448 | 0.7035 | 0.8387 |
| No log | 3.5824 | 326 | 0.8346 | 0.6620 | 0.8346 | 0.9136 |
| No log | 3.6044 | 328 | 0.9536 | 0.6479 | 0.9536 | 0.9765 |
| No log | 3.6264 | 330 | 0.8563 | 0.6525 | 0.8563 | 0.9254 |
| No log | 3.6484 | 332 | 0.7174 | 0.7324 | 0.7174 | 0.8470 |
| No log | 3.6703 | 334 | 0.6999 | 0.7552 | 0.6999 | 0.8366 |
| No log | 3.6923 | 336 | 0.7288 | 0.6763 | 0.7288 | 0.8537 |
| No log | 3.7143 | 338 | 0.7187 | 0.7324 | 0.7187 | 0.8477 |
| No log | 3.7363 | 340 | 0.7265 | 0.7286 | 0.7265 | 0.8524 |
| No log | 3.7582 | 342 | 0.7913 | 0.7092 | 0.7913 | 0.8895 |
| No log | 3.7802 | 344 | 0.8449 | 0.6667 | 0.8449 | 0.9192 |
| No log | 3.8022 | 346 | 0.8793 | 0.6718 | 0.8793 | 0.9377 |
| No log | 3.8242 | 348 | 0.8363 | 0.6970 | 0.8363 | 0.9145 |
| No log | 3.8462 | 350 | 0.7832 | 0.7059 | 0.7832 | 0.8850 |
| No log | 3.8681 | 352 | 0.7751 | 0.7143 | 0.7751 | 0.8804 |
| No log | 3.8901 | 354 | 0.7547 | 0.7143 | 0.7547 | 0.8688 |
| No log | 3.9121 | 356 | 0.7245 | 0.7 | 0.7245 | 0.8512 |
| No log | 3.9341 | 358 | 0.7500 | 0.7639 | 0.7500 | 0.8660 |
| No log | 3.9560 | 360 | 0.7862 | 0.7429 | 0.7862 | 0.8867 |
| No log | 3.9780 | 362 | 0.7751 | 0.7133 | 0.7751 | 0.8804 |
| No log | 4.0 | 364 | 0.7549 | 0.6809 | 0.7549 | 0.8689 |
| No log | 4.0220 | 366 | 0.7953 | 0.6901 | 0.7953 | 0.8918 |
| No log | 4.0440 | 368 | 0.8268 | 0.6809 | 0.8268 | 0.9093 |
| No log | 4.0659 | 370 | 0.7900 | 0.6763 | 0.7900 | 0.8888 |
| No log | 4.0879 | 372 | 0.7578 | 0.6714 | 0.7578 | 0.8705 |
| No log | 4.1099 | 374 | 0.7731 | 0.6763 | 0.7731 | 0.8793 |
| No log | 4.1319 | 376 | 0.7961 | 0.6809 | 0.7961 | 0.8923 |
| No log | 4.1538 | 378 | 0.7605 | 0.6812 | 0.7605 | 0.8721 |
| No log | 4.1758 | 380 | 0.7445 | 0.6812 | 0.7445 | 0.8628 |
| No log | 4.1978 | 382 | 0.7490 | 0.6763 | 0.7490 | 0.8655 |
| No log | 4.2198 | 384 | 0.7576 | 0.6812 | 0.7576 | 0.8704 |
| No log | 4.2418 | 386 | 0.7598 | 0.6667 | 0.7598 | 0.8717 |
| No log | 4.2637 | 388 | 0.7497 | 0.7299 | 0.7497 | 0.8658 |
| No log | 4.2857 | 390 | 0.7512 | 0.7206 | 0.7512 | 0.8667 |
| No log | 4.3077 | 392 | 0.7816 | 0.6716 | 0.7816 | 0.8841 |
| No log | 4.3297 | 394 | 0.7823 | 0.6815 | 0.7823 | 0.8845 |
| No log | 4.3516 | 396 | 0.7934 | 0.6815 | 0.7934 | 0.8907 |
| No log | 4.3736 | 398 | 0.8005 | 0.6462 | 0.8005 | 0.8947 |
| No log | 4.3956 | 400 | 0.7942 | 0.6970 | 0.7942 | 0.8912 |
| No log | 4.4176 | 402 | 0.8704 | 0.6565 | 0.8704 | 0.9329 |
| No log | 4.4396 | 404 | 1.0506 | 0.5455 | 1.0506 | 1.0250 |
| No log | 4.4615 | 406 | 1.0916 | 0.5185 | 1.0916 | 1.0448 |
| No log | 4.4835 | 408 | 0.9450 | 0.6212 | 0.9450 | 0.9721 |
| No log | 4.5055 | 410 | 0.7909 | 0.6767 | 0.7909 | 0.8893 |
| No log | 4.5275 | 412 | 0.7106 | 0.7164 | 0.7106 | 0.8430 |
| No log | 4.5495 | 414 | 0.6651 | 0.7391 | 0.6651 | 0.8155 |
| No log | 4.5714 | 416 | 0.6456 | 0.7407 | 0.6456 | 0.8035 |
| No log | 4.5934 | 418 | 0.6771 | 0.7246 | 0.6771 | 0.8229 |
| No log | 4.6154 | 420 | 0.8425 | 0.6569 | 0.8425 | 0.9179 |
| No log | 4.6374 | 422 | 0.8811 | 0.6370 | 0.8811 | 0.9387 |
| No log | 4.6593 | 424 | 0.7771 | 0.6906 | 0.7771 | 0.8815 |
| No log | 4.6813 | 426 | 0.6365 | 0.7606 | 0.6365 | 0.7978 |
| No log | 4.7033 | 428 | 0.6459 | 0.7746 | 0.6459 | 0.8037 |
| No log | 4.7253 | 430 | 0.7143 | 0.6917 | 0.7143 | 0.8452 |
| No log | 4.7473 | 432 | 0.7921 | 0.6462 | 0.7921 | 0.8900 |
| No log | 4.7692 | 434 | 0.8321 | 0.6462 | 0.8321 | 0.9122 |
| No log | 4.7912 | 436 | 0.8760 | 0.592 | 0.8760 | 0.9360 |
| No log | 4.8132 | 438 | 0.8575 | 0.6032 | 0.8575 | 0.9260 |
| No log | 4.8352 | 440 | 0.7909 | 0.6715 | 0.7909 | 0.8893 |
| No log | 4.8571 | 442 | 0.7348 | 0.7467 | 0.7348 | 0.8572 |
| No log | 4.8791 | 444 | 0.7039 | 0.7654 | 0.7039 | 0.8390 |
| No log | 4.9011 | 446 | 0.6325 | 0.7654 | 0.6325 | 0.7953 |
| No log | 4.9231 | 448 | 0.5317 | 0.8098 | 0.5317 | 0.7292 |
| No log | 4.9451 | 450 | 0.5471 | 0.8 | 0.5471 | 0.7397 |
| No log | 4.9670 | 452 | 0.7355 | 0.7075 | 0.7355 | 0.8576 |
| No log | 4.9890 | 454 | 0.7922 | 0.6950 | 0.7922 | 0.8900 |
| No log | 5.0110 | 456 | 0.7904 | 0.6812 | 0.7904 | 0.8891 |
| No log | 5.0330 | 458 | 0.6657 | 0.7338 | 0.6657 | 0.8159 |
| No log | 5.0549 | 460 | 0.6052 | 0.7639 | 0.6052 | 0.7779 |
| No log | 5.0769 | 462 | 0.6279 | 0.7361 | 0.6279 | 0.7924 |
| No log | 5.0989 | 464 | 0.6351 | 0.76 | 0.6351 | 0.7969 |
| No log | 5.1209 | 466 | 0.5808 | 0.7815 | 0.5808 | 0.7621 |
| No log | 5.1429 | 468 | 0.5428 | 0.7671 | 0.5428 | 0.7368 |
| No log | 5.1648 | 470 | 0.5466 | 0.7671 | 0.5466 | 0.7393 |
| No log | 5.1868 | 472 | 0.6302 | 0.7448 | 0.6302 | 0.7939 |
| No log | 5.2088 | 474 | 0.6847 | 0.7376 | 0.6847 | 0.8275 |
| No log | 5.2308 | 476 | 0.7382 | 0.6917 | 0.7382 | 0.8592 |
| No log | 5.2527 | 478 | 0.7823 | 0.6923 | 0.7823 | 0.8845 |
| No log | 5.2747 | 480 | 0.8247 | 0.6822 | 0.8247 | 0.9081 |
| No log | 5.2967 | 482 | 0.8247 | 0.6822 | 0.8247 | 0.9081 |
| No log | 5.3187 | 484 | 0.7972 | 0.6923 | 0.7972 | 0.8929 |
| No log | 5.3407 | 486 | 0.7663 | 0.6917 | 0.7663 | 0.8754 |
| No log | 5.3626 | 488 | 0.7533 | 0.6866 | 0.7533 | 0.8679 |
| No log | 5.3846 | 490 | 0.7433 | 0.7015 | 0.7433 | 0.8622 |
| No log | 5.4066 | 492 | 0.7444 | 0.7015 | 0.7444 | 0.8628 |
| No log | 5.4286 | 494 | 0.7290 | 0.6917 | 0.7290 | 0.8538 |
| No log | 5.4505 | 496 | 0.7287 | 0.6917 | 0.7287 | 0.8536 |
| No log | 5.4725 | 498 | 0.7279 | 0.7259 | 0.7279 | 0.8532 |
| 0.4425 | 5.4945 | 500 | 0.7236 | 0.7259 | 0.7236 | 0.8506 |
| 0.4425 | 5.5165 | 502 | 0.7316 | 0.7121 | 0.7316 | 0.8554 |
| 0.4425 | 5.5385 | 504 | 0.7730 | 0.6870 | 0.7730 | 0.8792 |
| 0.4425 | 5.5604 | 506 | 0.7511 | 0.7121 | 0.7511 | 0.8667 |
| 0.4425 | 5.5824 | 508 | 0.7341 | 0.6617 | 0.7341 | 0.8568 |
| 0.4425 | 5.6044 | 510 | 0.7459 | 0.6815 | 0.7459 | 0.8637 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k20_task1_organization
Base model
aubmindlab/bert-base-arabertv02