Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k15_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_k15_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_k15_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k15_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k15_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k15_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: 0.7728
- Qwk: 0.7183
- Mse: 0.7728
- Rmse: 0.8791
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 | 0.0290 | 2 | 6.7430 | 0.0116 | 6.7430 | 2.5967 |
| No log | 0.0580 | 4 | 4.4347 | 0.0556 | 4.4347 | 2.1059 |
| No log | 0.0870 | 6 | 3.2441 | 0.0118 | 3.2441 | 1.8011 |
| No log | 0.1159 | 8 | 3.0192 | 0.0503 | 3.0192 | 1.7376 |
| No log | 0.1449 | 10 | 2.1577 | 0.1429 | 2.1577 | 1.4689 |
| No log | 0.1739 | 12 | 1.9741 | 0.1391 | 1.9741 | 1.4050 |
| No log | 0.2029 | 14 | 1.9167 | 0.1802 | 1.9167 | 1.3845 |
| No log | 0.2319 | 16 | 1.8287 | 0.1651 | 1.8287 | 1.3523 |
| No log | 0.2609 | 18 | 1.7669 | 0.1682 | 1.7669 | 1.3293 |
| No log | 0.2899 | 20 | 1.7209 | 0.2037 | 1.7209 | 1.3118 |
| No log | 0.3188 | 22 | 1.6614 | 0.2037 | 1.6614 | 1.2890 |
| No log | 0.3478 | 24 | 1.6353 | 0.1852 | 1.6353 | 1.2788 |
| No log | 0.3768 | 26 | 1.6307 | 0.1121 | 1.6307 | 1.2770 |
| No log | 0.4058 | 28 | 1.6374 | 0.1111 | 1.6374 | 1.2796 |
| No log | 0.4348 | 30 | 1.6347 | 0.1930 | 1.6347 | 1.2786 |
| No log | 0.4638 | 32 | 1.5931 | 0.1786 | 1.5931 | 1.2622 |
| No log | 0.4928 | 34 | 1.6151 | 0.1165 | 1.6151 | 1.2709 |
| No log | 0.5217 | 36 | 1.6840 | 0.1154 | 1.6840 | 1.2977 |
| No log | 0.5507 | 38 | 1.6317 | 0.0971 | 1.6317 | 1.2774 |
| No log | 0.5797 | 40 | 1.5465 | 0.2385 | 1.5465 | 1.2436 |
| No log | 0.6087 | 42 | 1.6463 | 0.2185 | 1.6463 | 1.2831 |
| No log | 0.6377 | 44 | 1.6208 | 0.2645 | 1.6208 | 1.2731 |
| No log | 0.6667 | 46 | 1.5509 | 0.3226 | 1.5509 | 1.2453 |
| No log | 0.6957 | 48 | 1.5609 | 0.3193 | 1.5609 | 1.2494 |
| No log | 0.7246 | 50 | 1.5641 | 0.2787 | 1.5641 | 1.2506 |
| No log | 0.7536 | 52 | 1.5475 | 0.3065 | 1.5475 | 1.2440 |
| No log | 0.7826 | 54 | 1.5911 | 0.2185 | 1.5911 | 1.2614 |
| No log | 0.8116 | 56 | 1.5165 | 0.3471 | 1.5165 | 1.2315 |
| No log | 0.8406 | 58 | 1.4726 | 0.3740 | 1.4726 | 1.2135 |
| No log | 0.8696 | 60 | 1.4910 | 0.3000 | 1.4910 | 1.2210 |
| No log | 0.8986 | 62 | 1.4226 | 0.3559 | 1.4226 | 1.1927 |
| No log | 0.9275 | 64 | 1.4079 | 0.3276 | 1.4079 | 1.1865 |
| No log | 0.9565 | 66 | 1.3172 | 0.3826 | 1.3172 | 1.1477 |
| No log | 0.9855 | 68 | 1.4766 | 0.3833 | 1.4766 | 1.2152 |
| No log | 1.0145 | 70 | 1.4900 | 0.3306 | 1.4900 | 1.2207 |
| No log | 1.0435 | 72 | 1.2407 | 0.4274 | 1.2407 | 1.1139 |
| No log | 1.0725 | 74 | 1.1959 | 0.4576 | 1.1959 | 1.0936 |
| No log | 1.1014 | 76 | 1.2193 | 0.4915 | 1.2193 | 1.1042 |
| No log | 1.1304 | 78 | 1.2851 | 0.3363 | 1.2851 | 1.1336 |
| No log | 1.1594 | 80 | 1.3464 | 0.4274 | 1.3464 | 1.1603 |
| No log | 1.1884 | 82 | 1.3772 | 0.3103 | 1.3772 | 1.1735 |
| No log | 1.2174 | 84 | 1.3371 | 0.4237 | 1.3371 | 1.1563 |
| No log | 1.2464 | 86 | 1.2001 | 0.4132 | 1.2001 | 1.0955 |
| No log | 1.2754 | 88 | 1.1709 | 0.5354 | 1.1709 | 1.0821 |
| No log | 1.3043 | 90 | 1.1335 | 0.5556 | 1.1335 | 1.0647 |
| No log | 1.3333 | 92 | 1.1458 | 0.5581 | 1.1458 | 1.0704 |
| No log | 1.3623 | 94 | 1.1541 | 0.5238 | 1.1541 | 1.0743 |
| No log | 1.3913 | 96 | 1.1110 | 0.5203 | 1.1110 | 1.0540 |
| No log | 1.4203 | 98 | 1.0999 | 0.5455 | 1.0999 | 1.0487 |
| No log | 1.4493 | 100 | 1.0769 | 0.5574 | 1.0769 | 1.0377 |
| No log | 1.4783 | 102 | 1.0783 | 0.5827 | 1.0783 | 1.0384 |
| No log | 1.5072 | 104 | 1.0829 | 0.5846 | 1.0829 | 1.0406 |
| No log | 1.5362 | 106 | 1.2017 | 0.5303 | 1.2017 | 1.0962 |
| No log | 1.5652 | 108 | 1.0516 | 0.6316 | 1.0516 | 1.0255 |
| No log | 1.5942 | 110 | 1.0004 | 0.6119 | 1.0004 | 1.0002 |
| No log | 1.6232 | 112 | 0.9546 | 0.6119 | 0.9546 | 0.9770 |
| No log | 1.6522 | 114 | 0.7305 | 0.6866 | 0.7305 | 0.8547 |
| No log | 1.6812 | 116 | 0.7339 | 0.7153 | 0.7339 | 0.8567 |
| No log | 1.7101 | 118 | 0.7527 | 0.7121 | 0.7527 | 0.8676 |
| No log | 1.7391 | 120 | 0.7851 | 0.7121 | 0.7851 | 0.8861 |
| No log | 1.7681 | 122 | 0.8041 | 0.6822 | 0.8041 | 0.8967 |
| No log | 1.7971 | 124 | 0.8669 | 0.6719 | 0.8669 | 0.9311 |
| No log | 1.8261 | 126 | 0.9125 | 0.6299 | 0.9125 | 0.9552 |
| No log | 1.8551 | 128 | 0.9529 | 0.5984 | 0.9529 | 0.9762 |
| No log | 1.8841 | 130 | 0.9499 | 0.6202 | 0.9499 | 0.9746 |
| No log | 1.9130 | 132 | 0.9145 | 0.6142 | 0.9145 | 0.9563 |
| No log | 1.9420 | 134 | 0.8719 | 0.5984 | 0.8719 | 0.9338 |
| No log | 1.9710 | 136 | 0.8778 | 0.6412 | 0.8778 | 0.9369 |
| No log | 2.0 | 138 | 0.8211 | 0.6667 | 0.8211 | 0.9062 |
| No log | 2.0290 | 140 | 0.7670 | 0.7164 | 0.7670 | 0.8758 |
| No log | 2.0580 | 142 | 0.7696 | 0.7259 | 0.7696 | 0.8773 |
| No log | 2.0870 | 144 | 0.7949 | 0.7353 | 0.7949 | 0.8916 |
| No log | 2.1159 | 146 | 0.8222 | 0.7111 | 0.8222 | 0.9068 |
| No log | 2.1449 | 148 | 0.8270 | 0.7068 | 0.8270 | 0.9094 |
| No log | 2.1739 | 150 | 0.8482 | 0.6818 | 0.8482 | 0.9210 |
| No log | 2.2029 | 152 | 1.1142 | 0.5156 | 1.1142 | 1.0555 |
| No log | 2.2319 | 154 | 1.2649 | 0.5079 | 1.2649 | 1.1247 |
| No log | 2.2609 | 156 | 1.0129 | 0.6107 | 1.0129 | 1.0064 |
| No log | 2.2899 | 158 | 1.0303 | 0.5802 | 1.0303 | 1.0150 |
| No log | 2.3188 | 160 | 1.0430 | 0.5581 | 1.0430 | 1.0213 |
| No log | 2.3478 | 162 | 0.9442 | 0.6202 | 0.9442 | 0.9717 |
| No log | 2.3768 | 164 | 1.0636 | 0.5426 | 1.0636 | 1.0313 |
| No log | 2.4058 | 166 | 1.1456 | 0.5231 | 1.1456 | 1.0703 |
| No log | 2.4348 | 168 | 1.0375 | 0.5397 | 1.0375 | 1.0186 |
| No log | 2.4638 | 170 | 0.9885 | 0.6512 | 0.9885 | 0.9942 |
| No log | 2.4928 | 172 | 1.0997 | 0.5581 | 1.0997 | 1.0487 |
| No log | 2.5217 | 174 | 1.0972 | 0.5781 | 1.0972 | 1.0475 |
| No log | 2.5507 | 176 | 0.9563 | 0.6406 | 0.9563 | 0.9779 |
| No log | 2.5797 | 178 | 0.9981 | 0.4878 | 0.9981 | 0.9991 |
| No log | 2.6087 | 180 | 1.2957 | 0.4882 | 1.2957 | 1.1383 |
| No log | 2.6377 | 182 | 1.2712 | 0.5271 | 1.2712 | 1.1275 |
| No log | 2.6667 | 184 | 0.9508 | 0.528 | 0.9508 | 0.9751 |
| No log | 2.6957 | 186 | 0.9139 | 0.6719 | 0.9139 | 0.9560 |
| No log | 2.7246 | 188 | 1.0031 | 0.6370 | 1.0031 | 1.0016 |
| No log | 2.7536 | 190 | 0.9757 | 0.6667 | 0.9757 | 0.9878 |
| No log | 2.7826 | 192 | 0.9465 | 0.6406 | 0.9465 | 0.9729 |
| No log | 2.8116 | 194 | 0.9537 | 0.6260 | 0.9537 | 0.9766 |
| No log | 2.8406 | 196 | 0.9884 | 0.6567 | 0.9884 | 0.9942 |
| No log | 2.8696 | 198 | 1.0536 | 0.6324 | 1.0536 | 1.0265 |
| No log | 2.8986 | 200 | 1.0283 | 0.6308 | 1.0283 | 1.0140 |
| No log | 2.9275 | 202 | 1.0022 | 0.5714 | 1.0022 | 1.0011 |
| No log | 2.9565 | 204 | 1.0107 | 0.5714 | 1.0107 | 1.0053 |
| No log | 2.9855 | 206 | 1.0884 | 0.5846 | 1.0884 | 1.0432 |
| No log | 3.0145 | 208 | 1.1582 | 0.5714 | 1.1582 | 1.0762 |
| No log | 3.0435 | 210 | 1.0475 | 0.6202 | 1.0475 | 1.0235 |
| No log | 3.0725 | 212 | 0.9525 | 0.6094 | 0.9525 | 0.9760 |
| No log | 3.1014 | 214 | 0.9301 | 0.5984 | 0.9301 | 0.9644 |
| No log | 3.1304 | 216 | 0.9344 | 0.5714 | 0.9344 | 0.9666 |
| No log | 3.1594 | 218 | 0.9522 | 0.5920 | 0.9522 | 0.9758 |
| No log | 3.1884 | 220 | 1.0202 | 0.6107 | 1.0202 | 1.0100 |
| No log | 3.2174 | 222 | 0.9536 | 0.6719 | 0.9536 | 0.9765 |
| No log | 3.2464 | 224 | 0.8587 | 0.5645 | 0.8587 | 0.9267 |
| No log | 3.2754 | 226 | 0.8865 | 0.6047 | 0.8865 | 0.9416 |
| No log | 3.3043 | 228 | 0.8302 | 0.5938 | 0.8302 | 0.9112 |
| No log | 3.3333 | 230 | 0.7983 | 0.7015 | 0.7983 | 0.8935 |
| No log | 3.3623 | 232 | 0.9159 | 0.6165 | 0.9159 | 0.9570 |
| No log | 3.3913 | 234 | 0.9614 | 0.6165 | 0.9614 | 0.9805 |
| No log | 3.4203 | 236 | 0.8731 | 0.6308 | 0.8731 | 0.9344 |
| No log | 3.4493 | 238 | 0.8542 | 0.6107 | 0.8542 | 0.9242 |
| No log | 3.4783 | 240 | 0.8739 | 0.5397 | 0.8739 | 0.9348 |
| No log | 3.5072 | 242 | 0.8592 | 0.6718 | 0.8592 | 0.9269 |
| No log | 3.5362 | 244 | 0.8783 | 0.6667 | 0.8783 | 0.9372 |
| No log | 3.5652 | 246 | 0.8621 | 0.6667 | 0.8621 | 0.9285 |
| No log | 3.5942 | 248 | 0.8736 | 0.6767 | 0.8736 | 0.9347 |
| No log | 3.6232 | 250 | 0.8745 | 0.6667 | 0.8745 | 0.9352 |
| No log | 3.6522 | 252 | 0.9910 | 0.5970 | 0.9910 | 0.9955 |
| No log | 3.6812 | 254 | 1.0359 | 0.5970 | 1.0359 | 1.0178 |
| No log | 3.7101 | 256 | 0.9658 | 0.5970 | 0.9658 | 0.9827 |
| No log | 3.7391 | 258 | 0.8194 | 0.6767 | 0.8194 | 0.9052 |
| No log | 3.7681 | 260 | 0.7904 | 0.7015 | 0.7904 | 0.8891 |
| No log | 3.7971 | 262 | 0.8219 | 0.6870 | 0.8219 | 0.9066 |
| No log | 3.8261 | 264 | 0.8280 | 0.6870 | 0.8280 | 0.9099 |
| No log | 3.8551 | 266 | 0.8194 | 0.6769 | 0.8194 | 0.9052 |
| No log | 3.8841 | 268 | 0.7917 | 0.6870 | 0.7917 | 0.8898 |
| No log | 3.9130 | 270 | 0.8058 | 0.6667 | 0.8058 | 0.8977 |
| No log | 3.9420 | 272 | 0.7799 | 0.7059 | 0.7799 | 0.8831 |
| No log | 3.9710 | 274 | 0.7153 | 0.7445 | 0.7153 | 0.8457 |
| No log | 4.0 | 276 | 0.7691 | 0.7153 | 0.7691 | 0.8770 |
| No log | 4.0290 | 278 | 0.7840 | 0.7050 | 0.7840 | 0.8854 |
| No log | 4.0580 | 280 | 0.7372 | 0.7299 | 0.7372 | 0.8586 |
| No log | 4.0870 | 282 | 0.7985 | 0.7153 | 0.7985 | 0.8936 |
| No log | 4.1159 | 284 | 0.8870 | 0.6667 | 0.8870 | 0.9418 |
| No log | 4.1449 | 286 | 0.8919 | 0.6870 | 0.8919 | 0.9444 |
| No log | 4.1739 | 288 | 0.8751 | 0.6769 | 0.8751 | 0.9355 |
| No log | 4.2029 | 290 | 0.8526 | 0.6308 | 0.8526 | 0.9233 |
| No log | 4.2319 | 292 | 0.8199 | 0.6364 | 0.8199 | 0.9055 |
| No log | 4.2609 | 294 | 0.8078 | 0.6870 | 0.8078 | 0.8988 |
| No log | 4.2899 | 296 | 0.7894 | 0.6822 | 0.7894 | 0.8885 |
| No log | 4.3188 | 298 | 0.7622 | 0.7023 | 0.7622 | 0.8730 |
| No log | 4.3478 | 300 | 0.7191 | 0.7259 | 0.7191 | 0.8480 |
| No log | 4.3768 | 302 | 0.7512 | 0.6815 | 0.7512 | 0.8667 |
| No log | 4.4058 | 304 | 0.7997 | 0.6667 | 0.7997 | 0.8943 |
| No log | 4.4348 | 306 | 0.7169 | 0.6765 | 0.7169 | 0.8467 |
| No log | 4.4638 | 308 | 0.6730 | 0.7626 | 0.6730 | 0.8204 |
| No log | 4.4928 | 310 | 0.6789 | 0.7194 | 0.6789 | 0.8240 |
| No log | 4.5217 | 312 | 0.7067 | 0.7536 | 0.7067 | 0.8406 |
| No log | 4.5507 | 314 | 0.7446 | 0.7338 | 0.7446 | 0.8629 |
| No log | 4.5797 | 316 | 0.6998 | 0.7310 | 0.6998 | 0.8365 |
| No log | 4.6087 | 318 | 0.6212 | 0.7808 | 0.6212 | 0.7882 |
| No log | 4.6377 | 320 | 0.6323 | 0.7413 | 0.6323 | 0.7952 |
| No log | 4.6667 | 322 | 0.6830 | 0.7286 | 0.6830 | 0.8264 |
| No log | 4.6957 | 324 | 0.7251 | 0.7286 | 0.7251 | 0.8516 |
| No log | 4.7246 | 326 | 0.8232 | 0.6957 | 0.8232 | 0.9073 |
| No log | 4.7536 | 328 | 0.8233 | 0.7206 | 0.8233 | 0.9074 |
| No log | 4.7826 | 330 | 0.8289 | 0.7111 | 0.8289 | 0.9105 |
| No log | 4.8116 | 332 | 0.8363 | 0.7111 | 0.8363 | 0.9145 |
| No log | 4.8406 | 334 | 0.7708 | 0.7206 | 0.7708 | 0.8779 |
| No log | 4.8696 | 336 | 0.7523 | 0.6815 | 0.7523 | 0.8673 |
| No log | 4.8986 | 338 | 0.7653 | 0.7164 | 0.7653 | 0.8748 |
| No log | 4.9275 | 340 | 0.8260 | 0.6667 | 0.8260 | 0.9089 |
| No log | 4.9565 | 342 | 0.8455 | 0.6567 | 0.8455 | 0.9195 |
| No log | 4.9855 | 344 | 0.8171 | 0.6667 | 0.8171 | 0.9039 |
| No log | 5.0145 | 346 | 0.7464 | 0.6767 | 0.7464 | 0.8639 |
| No log | 5.0435 | 348 | 0.7446 | 0.6767 | 0.7446 | 0.8629 |
| No log | 5.0725 | 350 | 0.7682 | 0.6567 | 0.7682 | 0.8765 |
| No log | 5.1014 | 352 | 0.7619 | 0.6767 | 0.7619 | 0.8729 |
| No log | 5.1304 | 354 | 0.7361 | 0.6815 | 0.7361 | 0.8580 |
| No log | 5.1594 | 356 | 0.7900 | 0.6815 | 0.7900 | 0.8888 |
| No log | 5.1884 | 358 | 1.0030 | 0.6286 | 1.0030 | 1.0015 |
| No log | 5.2174 | 360 | 1.1088 | 0.6131 | 1.1088 | 1.0530 |
| No log | 5.2464 | 362 | 1.0076 | 0.6567 | 1.0076 | 1.0038 |
| No log | 5.2754 | 364 | 0.8734 | 0.6765 | 0.8734 | 0.9346 |
| No log | 5.3043 | 366 | 0.8742 | 0.6765 | 0.8742 | 0.9350 |
| No log | 5.3333 | 368 | 0.8992 | 0.6412 | 0.8992 | 0.9483 |
| No log | 5.3623 | 370 | 0.9250 | 0.6617 | 0.9250 | 0.9618 |
| No log | 5.3913 | 372 | 1.0266 | 0.5891 | 1.0266 | 1.0132 |
| No log | 5.4203 | 374 | 1.1818 | 0.5821 | 1.1818 | 1.0871 |
| No log | 5.4493 | 376 | 1.2659 | 0.5547 | 1.2659 | 1.1251 |
| No log | 5.4783 | 378 | 1.1626 | 0.5755 | 1.1626 | 1.0782 |
| No log | 5.5072 | 380 | 0.9226 | 0.6618 | 0.9226 | 0.9605 |
| No log | 5.5362 | 382 | 0.7742 | 0.7183 | 0.7742 | 0.8799 |
| No log | 5.5652 | 384 | 0.7670 | 0.6957 | 0.7670 | 0.8758 |
| No log | 5.5942 | 386 | 0.7709 | 0.6957 | 0.7709 | 0.8780 |
| No log | 5.6232 | 388 | 0.8087 | 0.6912 | 0.8087 | 0.8993 |
| No log | 5.6522 | 390 | 0.9631 | 0.6357 | 0.9631 | 0.9814 |
| No log | 5.6812 | 392 | 1.1397 | 0.5625 | 1.1397 | 1.0676 |
| No log | 5.7101 | 394 | 1.1753 | 0.5692 | 1.1753 | 1.0841 |
| No log | 5.7391 | 396 | 1.0808 | 0.6094 | 1.0808 | 1.0396 |
| No log | 5.7681 | 398 | 0.9701 | 0.6357 | 0.9701 | 0.9850 |
| No log | 5.7971 | 400 | 0.8879 | 0.6667 | 0.8879 | 0.9423 |
| No log | 5.8261 | 402 | 0.8642 | 0.6667 | 0.8642 | 0.9296 |
| No log | 5.8551 | 404 | 0.8678 | 0.6767 | 0.8678 | 0.9316 |
| No log | 5.8841 | 406 | 0.9258 | 0.6667 | 0.9258 | 0.9622 |
| No log | 5.9130 | 408 | 0.9432 | 0.6667 | 0.9432 | 0.9712 |
| No log | 5.9420 | 410 | 0.8876 | 0.6094 | 0.8876 | 0.9421 |
| No log | 5.9710 | 412 | 0.8841 | 0.6457 | 0.8841 | 0.9403 |
| No log | 6.0 | 414 | 0.8670 | 0.6349 | 0.8670 | 0.9311 |
| No log | 6.0290 | 416 | 0.8321 | 0.6357 | 0.8321 | 0.9122 |
| No log | 6.0580 | 418 | 0.8927 | 0.6767 | 0.8927 | 0.9448 |
| No log | 6.0870 | 420 | 0.9790 | 0.6466 | 0.9790 | 0.9894 |
| No log | 6.1159 | 422 | 0.9095 | 0.6767 | 0.9095 | 0.9537 |
| No log | 6.1449 | 424 | 0.7693 | 0.6866 | 0.7693 | 0.8771 |
| No log | 6.1739 | 426 | 0.6919 | 0.7206 | 0.6919 | 0.8318 |
| No log | 6.2029 | 428 | 0.6559 | 0.7234 | 0.6559 | 0.8099 |
| No log | 6.2319 | 430 | 0.6505 | 0.7273 | 0.6505 | 0.8066 |
| No log | 6.2609 | 432 | 0.6429 | 0.7143 | 0.6429 | 0.8018 |
| No log | 6.2899 | 434 | 0.6909 | 0.6912 | 0.6909 | 0.8312 |
| No log | 6.3188 | 436 | 0.7412 | 0.6815 | 0.7412 | 0.8609 |
| No log | 6.3478 | 438 | 0.7089 | 0.6912 | 0.7089 | 0.8420 |
| No log | 6.3768 | 440 | 0.6369 | 0.7234 | 0.6369 | 0.7981 |
| No log | 6.4058 | 442 | 0.6315 | 0.7324 | 0.6315 | 0.7947 |
| No log | 6.4348 | 444 | 0.6876 | 0.7324 | 0.6876 | 0.8292 |
| No log | 6.4638 | 446 | 0.7088 | 0.7007 | 0.7088 | 0.8419 |
| No log | 6.4928 | 448 | 0.7140 | 0.6912 | 0.7140 | 0.8450 |
| No log | 6.5217 | 450 | 0.7185 | 0.7111 | 0.7185 | 0.8476 |
| No log | 6.5507 | 452 | 0.6822 | 0.7536 | 0.6822 | 0.8260 |
| No log | 6.5797 | 454 | 0.6396 | 0.7692 | 0.6396 | 0.7998 |
| No log | 6.6087 | 456 | 0.6509 | 0.7448 | 0.6509 | 0.8068 |
| No log | 6.6377 | 458 | 0.6369 | 0.7534 | 0.6369 | 0.7980 |
| No log | 6.6667 | 460 | 0.6594 | 0.7448 | 0.6594 | 0.8120 |
| No log | 6.6957 | 462 | 0.6918 | 0.7376 | 0.6918 | 0.8317 |
| No log | 6.7246 | 464 | 0.7329 | 0.7429 | 0.7329 | 0.8561 |
| No log | 6.7536 | 466 | 0.7895 | 0.7111 | 0.7895 | 0.8886 |
| No log | 6.7826 | 468 | 0.8492 | 0.6870 | 0.8492 | 0.9215 |
| No log | 6.8116 | 470 | 0.8313 | 0.6870 | 0.8313 | 0.9118 |
| No log | 6.8406 | 472 | 0.7738 | 0.6906 | 0.7738 | 0.8797 |
| No log | 6.8696 | 474 | 0.7234 | 0.7246 | 0.7234 | 0.8505 |
| No log | 6.8986 | 476 | 0.6954 | 0.7429 | 0.6954 | 0.8339 |
| No log | 6.9275 | 478 | 0.6642 | 0.7660 | 0.6642 | 0.8150 |
| No log | 6.9565 | 480 | 0.6634 | 0.7448 | 0.6634 | 0.8145 |
| No log | 6.9855 | 482 | 0.6662 | 0.7448 | 0.6662 | 0.8162 |
| No log | 7.0145 | 484 | 0.6959 | 0.7324 | 0.6959 | 0.8342 |
| No log | 7.0435 | 486 | 0.7373 | 0.7234 | 0.7373 | 0.8586 |
| No log | 7.0725 | 488 | 0.7349 | 0.7324 | 0.7349 | 0.8573 |
| No log | 7.1014 | 490 | 0.7584 | 0.7234 | 0.7584 | 0.8709 |
| No log | 7.1304 | 492 | 0.8190 | 0.7050 | 0.8190 | 0.9050 |
| No log | 7.1594 | 494 | 0.8649 | 0.6812 | 0.8649 | 0.9300 |
| No log | 7.1884 | 496 | 0.8185 | 0.7050 | 0.8185 | 0.9047 |
| No log | 7.2174 | 498 | 0.7507 | 0.7413 | 0.7507 | 0.8664 |
| 0.4183 | 7.2464 | 500 | 0.7651 | 0.7285 | 0.7651 | 0.8747 |
| 0.4183 | 7.2754 | 502 | 0.7853 | 0.7075 | 0.7853 | 0.8862 |
| 0.4183 | 7.3043 | 504 | 0.7826 | 0.7413 | 0.7826 | 0.8847 |
| 0.4183 | 7.3333 | 506 | 0.8170 | 0.7206 | 0.8170 | 0.9039 |
| 0.4183 | 7.3623 | 508 | 0.8296 | 0.7206 | 0.8296 | 0.9108 |
| 0.4183 | 7.3913 | 510 | 0.8218 | 0.6866 | 0.8218 | 0.9065 |
| 0.4183 | 7.4203 | 512 | 0.8030 | 0.6715 | 0.8030 | 0.8961 |
| 0.4183 | 7.4493 | 514 | 0.7728 | 0.7183 | 0.7728 | 0.8791 |
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/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k15_task1_organization
Base model
aubmindlab/bert-base-arabertv02