Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task3_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: 0.6326
- Qwk: 0.3089
- Mse: 0.6326
- Rmse: 0.7953
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 | 0.0417 | 2 | 5.6379 | -0.0428 | 5.6379 | 2.3744 |
| No log | 0.0833 | 4 | 2.7389 | 0.0017 | 2.7389 | 1.6550 |
| No log | 0.125 | 6 | 2.5429 | 0.0400 | 2.5429 | 1.5946 |
| No log | 0.1667 | 8 | 1.7050 | -0.0361 | 1.7050 | 1.3058 |
| No log | 0.2083 | 10 | 0.7277 | -0.0818 | 0.7277 | 0.8530 |
| No log | 0.25 | 12 | 0.9553 | 0.0288 | 0.9553 | 0.9774 |
| No log | 0.2917 | 14 | 1.1141 | 0.0 | 1.1141 | 1.0555 |
| No log | 0.3333 | 16 | 1.0405 | 0.0 | 1.0405 | 1.0201 |
| No log | 0.375 | 18 | 1.1250 | 0.0 | 1.1250 | 1.0606 |
| No log | 0.4167 | 20 | 0.8803 | -0.0970 | 0.8803 | 0.9383 |
| No log | 0.4583 | 22 | 0.6704 | 0.0725 | 0.6704 | 0.8188 |
| No log | 0.5 | 24 | 0.8786 | -0.0370 | 0.8786 | 0.9373 |
| No log | 0.5417 | 26 | 1.6968 | 0.0 | 1.6968 | 1.3026 |
| No log | 0.5833 | 28 | 1.6507 | 0.0 | 1.6507 | 1.2848 |
| No log | 0.625 | 30 | 1.0132 | 0.0431 | 1.0132 | 1.0066 |
| No log | 0.6667 | 32 | 0.7105 | 0.0256 | 0.7105 | 0.8429 |
| No log | 0.7083 | 34 | 0.7385 | -0.0058 | 0.7385 | 0.8594 |
| No log | 0.75 | 36 | 0.8910 | -0.0216 | 0.8910 | 0.9439 |
| No log | 0.7917 | 38 | 1.0724 | 0.0 | 1.0724 | 1.0356 |
| No log | 0.8333 | 40 | 0.8702 | 0.0038 | 0.8702 | 0.9329 |
| No log | 0.875 | 42 | 0.7381 | 0.0545 | 0.7381 | 0.8591 |
| No log | 0.9167 | 44 | 1.3100 | 0.0345 | 1.3100 | 1.1445 |
| No log | 0.9583 | 46 | 2.9128 | 0.0227 | 2.9128 | 1.7067 |
| No log | 1.0 | 48 | 2.6590 | 0.0239 | 2.6590 | 1.6306 |
| No log | 1.0417 | 50 | 1.5008 | 0.0 | 1.5008 | 1.2251 |
| No log | 1.0833 | 52 | 1.0517 | 0.0698 | 1.0517 | 1.0255 |
| No log | 1.125 | 54 | 0.8078 | 0.0798 | 0.8078 | 0.8988 |
| No log | 1.1667 | 56 | 0.6390 | 0.0476 | 0.6390 | 0.7994 |
| No log | 1.2083 | 58 | 0.7022 | 0.0476 | 0.7022 | 0.8380 |
| No log | 1.25 | 60 | 0.6233 | 0.1467 | 0.6233 | 0.7895 |
| No log | 1.2917 | 62 | 0.9746 | 0.0894 | 0.9746 | 0.9872 |
| No log | 1.3333 | 64 | 1.2341 | 0.0698 | 1.2341 | 1.1109 |
| No log | 1.375 | 66 | 1.5424 | -0.0036 | 1.5424 | 1.2419 |
| No log | 1.4167 | 68 | 1.4219 | -0.0036 | 1.4219 | 1.1924 |
| No log | 1.4583 | 70 | 0.8953 | -0.1171 | 0.8953 | 0.9462 |
| No log | 1.5 | 72 | 0.7435 | -0.0115 | 0.7435 | 0.8623 |
| No log | 1.5417 | 74 | 0.8812 | -0.0704 | 0.8812 | 0.9387 |
| No log | 1.5833 | 76 | 0.7989 | -0.0273 | 0.7989 | 0.8938 |
| No log | 1.625 | 78 | 0.6538 | 0.1884 | 0.6538 | 0.8086 |
| No log | 1.6667 | 80 | 0.7163 | -0.0058 | 0.7163 | 0.8463 |
| No log | 1.7083 | 82 | 0.6811 | 0.1138 | 0.6811 | 0.8253 |
| No log | 1.75 | 84 | 0.6639 | 0.2329 | 0.6639 | 0.8148 |
| No log | 1.7917 | 86 | 0.7296 | 0.1138 | 0.7296 | 0.8542 |
| No log | 1.8333 | 88 | 1.1609 | 0.0476 | 1.1609 | 1.0775 |
| No log | 1.875 | 90 | 1.0065 | -0.0079 | 1.0065 | 1.0033 |
| No log | 1.9167 | 92 | 0.7140 | 0.2611 | 0.7140 | 0.8450 |
| No log | 1.9583 | 94 | 0.7133 | 0.3208 | 0.7133 | 0.8446 |
| No log | 2.0 | 96 | 0.6883 | 0.3067 | 0.6883 | 0.8296 |
| No log | 2.0417 | 98 | 0.7740 | 0.0157 | 0.7740 | 0.8797 |
| No log | 2.0833 | 100 | 0.7645 | 0.0955 | 0.7645 | 0.8743 |
| No log | 2.125 | 102 | 0.7805 | 0.1287 | 0.7805 | 0.8835 |
| No log | 2.1667 | 104 | 0.8145 | 0.1691 | 0.8145 | 0.9025 |
| No log | 2.2083 | 106 | 0.7641 | 0.1691 | 0.7641 | 0.8741 |
| No log | 2.25 | 108 | 0.6684 | 0.2273 | 0.6684 | 0.8176 |
| No log | 2.2917 | 110 | 0.6464 | 0.2857 | 0.6464 | 0.8040 |
| No log | 2.3333 | 112 | 0.6413 | 0.2542 | 0.6413 | 0.8008 |
| No log | 2.375 | 114 | 0.6622 | 0.2914 | 0.6622 | 0.8137 |
| No log | 2.4167 | 116 | 0.9633 | 0.0519 | 0.9633 | 0.9815 |
| No log | 2.4583 | 118 | 0.7319 | 0.1753 | 0.7319 | 0.8555 |
| No log | 2.5 | 120 | 0.9662 | 0.1261 | 0.9662 | 0.9830 |
| No log | 2.5417 | 122 | 1.6331 | 0.1342 | 1.6331 | 1.2779 |
| No log | 2.5833 | 124 | 1.1847 | 0.1834 | 1.1847 | 1.0884 |
| No log | 2.625 | 126 | 0.7003 | 0.2350 | 0.7003 | 0.8369 |
| No log | 2.6667 | 128 | 0.7032 | 0.2000 | 0.7032 | 0.8385 |
| No log | 2.7083 | 130 | 0.7325 | 0.1568 | 0.7325 | 0.8559 |
| No log | 2.75 | 132 | 0.6601 | 0.2457 | 0.6601 | 0.8125 |
| No log | 2.7917 | 134 | 0.6879 | 0.3862 | 0.6879 | 0.8294 |
| No log | 2.8333 | 136 | 0.7886 | 0.1925 | 0.7886 | 0.8880 |
| No log | 2.875 | 138 | 0.6653 | 0.3402 | 0.6653 | 0.8157 |
| No log | 2.9167 | 140 | 0.6325 | 0.2179 | 0.6325 | 0.7953 |
| No log | 2.9583 | 142 | 0.7304 | 0.1287 | 0.7304 | 0.8546 |
| No log | 3.0 | 144 | 0.6632 | 0.2174 | 0.6632 | 0.8144 |
| No log | 3.0417 | 146 | 0.6609 | 0.3990 | 0.6609 | 0.8129 |
| No log | 3.0833 | 148 | 0.7078 | 0.2083 | 0.7078 | 0.8413 |
| No log | 3.125 | 150 | 0.7570 | 0.1683 | 0.7570 | 0.8701 |
| No log | 3.1667 | 152 | 0.9143 | 0.0826 | 0.9143 | 0.9562 |
| No log | 3.2083 | 154 | 1.1771 | 0.1777 | 1.1771 | 1.0849 |
| No log | 3.25 | 156 | 0.9174 | 0.1588 | 0.9174 | 0.9578 |
| No log | 3.2917 | 158 | 0.8516 | 0.2212 | 0.8516 | 0.9228 |
| No log | 3.3333 | 160 | 0.9214 | 0.1228 | 0.9214 | 0.9599 |
| No log | 3.375 | 162 | 0.9629 | 0.0933 | 0.9629 | 0.9813 |
| No log | 3.4167 | 164 | 0.8285 | 0.1776 | 0.8285 | 0.9102 |
| No log | 3.4583 | 166 | 0.8256 | 0.2074 | 0.8256 | 0.9086 |
| No log | 3.5 | 168 | 0.8242 | 0.2239 | 0.8242 | 0.9079 |
| No log | 3.5417 | 170 | 0.8163 | 0.2563 | 0.8163 | 0.9035 |
| No log | 3.5833 | 172 | 0.8788 | 0.1050 | 0.8788 | 0.9375 |
| No log | 3.625 | 174 | 0.8760 | 0.0857 | 0.8760 | 0.9360 |
| No log | 3.6667 | 176 | 0.7995 | 0.1028 | 0.7995 | 0.8941 |
| No log | 3.7083 | 178 | 0.7144 | 0.2593 | 0.7144 | 0.8452 |
| No log | 3.75 | 180 | 0.7189 | 0.2000 | 0.7189 | 0.8479 |
| No log | 3.7917 | 182 | 0.7284 | 0.1683 | 0.7284 | 0.8535 |
| No log | 3.8333 | 184 | 0.7231 | 0.1515 | 0.7231 | 0.8503 |
| No log | 3.875 | 186 | 0.7595 | 0.1469 | 0.7595 | 0.8715 |
| No log | 3.9167 | 188 | 0.7514 | 0.1388 | 0.7514 | 0.8668 |
| No log | 3.9583 | 190 | 0.7380 | 0.1841 | 0.7380 | 0.8591 |
| No log | 4.0 | 192 | 0.7845 | 0.2857 | 0.7845 | 0.8857 |
| No log | 4.0417 | 194 | 0.7458 | 0.2780 | 0.7458 | 0.8636 |
| No log | 4.0833 | 196 | 0.7568 | 0.1133 | 0.7568 | 0.8700 |
| No log | 4.125 | 198 | 0.7530 | 0.3010 | 0.7530 | 0.8677 |
| No log | 4.1667 | 200 | 0.7337 | 0.2432 | 0.7337 | 0.8566 |
| No log | 4.2083 | 202 | 0.7066 | 0.2787 | 0.7066 | 0.8406 |
| No log | 4.25 | 204 | 0.7669 | 0.1373 | 0.7669 | 0.8757 |
| No log | 4.2917 | 206 | 0.9130 | 0.1336 | 0.9130 | 0.9555 |
| No log | 4.3333 | 208 | 0.7981 | 0.1610 | 0.7981 | 0.8934 |
| No log | 4.375 | 210 | 0.8189 | 0.1443 | 0.8189 | 0.9049 |
| No log | 4.4167 | 212 | 0.8430 | 0.0493 | 0.8430 | 0.9181 |
| No log | 4.4583 | 214 | 1.0480 | 0.1245 | 1.0480 | 1.0237 |
| No log | 4.5 | 216 | 1.0918 | 0.1020 | 1.0918 | 1.0449 |
| No log | 4.5417 | 218 | 0.9699 | 0.1304 | 0.9699 | 0.9848 |
| No log | 4.5833 | 220 | 0.7810 | 0.1469 | 0.7810 | 0.8837 |
| No log | 4.625 | 222 | 0.8013 | 0.2153 | 0.8013 | 0.8951 |
| No log | 4.6667 | 224 | 0.7387 | 0.2766 | 0.7387 | 0.8595 |
| No log | 4.7083 | 226 | 0.7349 | 0.1841 | 0.7349 | 0.8573 |
| No log | 4.75 | 228 | 0.8309 | 0.1481 | 0.8309 | 0.9116 |
| No log | 4.7917 | 230 | 0.7140 | 0.2000 | 0.7140 | 0.8450 |
| No log | 4.8333 | 232 | 0.6365 | 0.2857 | 0.6365 | 0.7978 |
| No log | 4.875 | 234 | 0.6826 | 0.2917 | 0.6826 | 0.8262 |
| No log | 4.9167 | 236 | 0.6330 | 0.3412 | 0.6330 | 0.7956 |
| No log | 4.9583 | 238 | 0.6499 | 0.2967 | 0.6499 | 0.8061 |
| No log | 5.0 | 240 | 0.6547 | 0.2967 | 0.6547 | 0.8092 |
| No log | 5.0417 | 242 | 0.7960 | 0.1776 | 0.7961 | 0.8922 |
| No log | 5.0833 | 244 | 0.8242 | 0.1776 | 0.8242 | 0.9079 |
| No log | 5.125 | 246 | 0.7138 | 0.1429 | 0.7138 | 0.8449 |
| No log | 5.1667 | 248 | 0.7125 | 0.2000 | 0.7125 | 0.8441 |
| No log | 5.2083 | 250 | 0.7709 | 0.1600 | 0.7709 | 0.8780 |
| No log | 5.25 | 252 | 0.7473 | 0.1759 | 0.7473 | 0.8645 |
| No log | 5.2917 | 254 | 0.7403 | 0.2081 | 0.7403 | 0.8604 |
| No log | 5.3333 | 256 | 0.9812 | 0.0769 | 0.9812 | 0.9905 |
| No log | 5.375 | 258 | 0.9370 | 0.0667 | 0.9370 | 0.9680 |
| No log | 5.4167 | 260 | 0.7257 | 0.2787 | 0.7257 | 0.8519 |
| No log | 5.4583 | 262 | 0.7571 | 0.2990 | 0.7571 | 0.8701 |
| No log | 5.5 | 264 | 0.7244 | 0.2727 | 0.7244 | 0.8511 |
| No log | 5.5417 | 266 | 0.7144 | 0.2787 | 0.7144 | 0.8453 |
| No log | 5.5833 | 268 | 0.7825 | 0.1590 | 0.7825 | 0.8846 |
| No log | 5.625 | 270 | 0.7521 | 0.1357 | 0.7521 | 0.8672 |
| No log | 5.6667 | 272 | 0.7118 | 0.1658 | 0.7118 | 0.8437 |
| No log | 5.7083 | 274 | 0.6896 | 0.2593 | 0.6896 | 0.8304 |
| No log | 5.75 | 276 | 0.7048 | 0.2593 | 0.7048 | 0.8395 |
| No log | 5.7917 | 278 | 0.7242 | 0.2842 | 0.7242 | 0.8510 |
| No log | 5.8333 | 280 | 0.7160 | 0.2258 | 0.7160 | 0.8462 |
| No log | 5.875 | 282 | 0.7142 | 0.1832 | 0.7142 | 0.8451 |
| No log | 5.9167 | 284 | 0.7051 | 0.1832 | 0.7051 | 0.8397 |
| No log | 5.9583 | 286 | 0.7277 | 0.1414 | 0.7277 | 0.8530 |
| No log | 6.0 | 288 | 0.7344 | 0.1568 | 0.7344 | 0.8570 |
| No log | 6.0417 | 290 | 0.6772 | 0.2360 | 0.6772 | 0.8229 |
| No log | 6.0833 | 292 | 0.7015 | 0.2090 | 0.7015 | 0.8376 |
| No log | 6.125 | 294 | 0.7131 | 0.1828 | 0.7131 | 0.8444 |
| No log | 6.1667 | 296 | 0.6720 | 0.1908 | 0.6720 | 0.8197 |
| No log | 6.2083 | 298 | 0.7045 | 0.1913 | 0.7045 | 0.8394 |
| No log | 6.25 | 300 | 0.7762 | 0.1732 | 0.7762 | 0.8810 |
| No log | 6.2917 | 302 | 0.7064 | 0.2000 | 0.7064 | 0.8405 |
| No log | 6.3333 | 304 | 0.6609 | 0.2471 | 0.6609 | 0.8130 |
| No log | 6.375 | 306 | 0.7919 | 0.1416 | 0.7919 | 0.8899 |
| No log | 6.4167 | 308 | 0.8161 | 0.1289 | 0.8161 | 0.9034 |
| No log | 6.4583 | 310 | 0.7020 | 0.1638 | 0.7020 | 0.8379 |
| No log | 6.5 | 312 | 0.6794 | 0.2683 | 0.6794 | 0.8243 |
| No log | 6.5417 | 314 | 0.7135 | 0.2000 | 0.7135 | 0.8447 |
| No log | 6.5833 | 316 | 0.6858 | 0.2727 | 0.6858 | 0.8281 |
| No log | 6.625 | 318 | 0.6567 | 0.2683 | 0.6567 | 0.8103 |
| No log | 6.6667 | 320 | 0.6625 | 0.2941 | 0.6625 | 0.8139 |
| No log | 6.7083 | 322 | 0.6630 | 0.2575 | 0.6630 | 0.8143 |
| No log | 6.75 | 324 | 0.7008 | 0.2174 | 0.7008 | 0.8371 |
| No log | 6.7917 | 326 | 0.7476 | 0.1832 | 0.7476 | 0.8647 |
| No log | 6.8333 | 328 | 0.7950 | 0.2000 | 0.7950 | 0.8916 |
| No log | 6.875 | 330 | 0.7582 | 0.1915 | 0.7582 | 0.8708 |
| No log | 6.9167 | 332 | 0.6927 | 0.2083 | 0.6927 | 0.8323 |
| No log | 6.9583 | 334 | 0.6657 | 0.2471 | 0.6657 | 0.8159 |
| No log | 7.0 | 336 | 0.6504 | 0.2471 | 0.6504 | 0.8065 |
| No log | 7.0417 | 338 | 0.6267 | 0.2575 | 0.6267 | 0.7917 |
| No log | 7.0833 | 340 | 0.6504 | 0.2941 | 0.6504 | 0.8065 |
| No log | 7.125 | 342 | 0.6709 | 0.2663 | 0.6709 | 0.8191 |
| No log | 7.1667 | 344 | 0.6581 | 0.2289 | 0.6581 | 0.8112 |
| No log | 7.2083 | 346 | 0.5970 | 0.3158 | 0.5970 | 0.7726 |
| No log | 7.25 | 348 | 0.5782 | 0.2970 | 0.5782 | 0.7604 |
| No log | 7.2917 | 350 | 0.6455 | 0.2809 | 0.6455 | 0.8034 |
| No log | 7.3333 | 352 | 0.7137 | 0.2381 | 0.7137 | 0.8448 |
| No log | 7.375 | 354 | 0.6947 | 0.2239 | 0.6947 | 0.8335 |
| No log | 7.4167 | 356 | 0.6159 | 0.2184 | 0.6159 | 0.7848 |
| No log | 7.4583 | 358 | 0.6316 | 0.35 | 0.6316 | 0.7948 |
| No log | 7.5 | 360 | 0.8156 | 0.1064 | 0.8156 | 0.9031 |
| No log | 7.5417 | 362 | 0.9074 | 0.0924 | 0.9074 | 0.9525 |
| No log | 7.5833 | 364 | 0.8381 | 0.0385 | 0.8381 | 0.9155 |
| No log | 7.625 | 366 | 0.7124 | 0.2090 | 0.7124 | 0.8440 |
| No log | 7.6667 | 368 | 0.6233 | 0.2683 | 0.6233 | 0.7895 |
| No log | 7.7083 | 370 | 0.6281 | 0.2513 | 0.6281 | 0.7925 |
| No log | 7.75 | 372 | 0.6341 | 0.2513 | 0.6341 | 0.7963 |
| No log | 7.7917 | 374 | 0.6362 | 0.2766 | 0.6362 | 0.7976 |
| No log | 7.8333 | 376 | 0.6731 | 0.2360 | 0.6731 | 0.8204 |
| No log | 7.875 | 378 | 0.6693 | 0.2360 | 0.6693 | 0.8181 |
| No log | 7.9167 | 380 | 0.6476 | 0.2273 | 0.6476 | 0.8047 |
| No log | 7.9583 | 382 | 0.6266 | 0.3136 | 0.6266 | 0.7916 |
| No log | 8.0 | 384 | 0.6229 | 0.3043 | 0.6229 | 0.7893 |
| No log | 8.0417 | 386 | 0.6295 | 0.2941 | 0.6295 | 0.7934 |
| No log | 8.0833 | 388 | 0.6350 | 0.2967 | 0.6350 | 0.7969 |
| No log | 8.125 | 390 | 0.6206 | 0.2967 | 0.6206 | 0.7878 |
| No log | 8.1667 | 392 | 0.6204 | 0.2967 | 0.6204 | 0.7877 |
| No log | 8.2083 | 394 | 0.6090 | 0.2857 | 0.6090 | 0.7804 |
| No log | 8.25 | 396 | 0.6036 | 0.2857 | 0.6036 | 0.7769 |
| No log | 8.2917 | 398 | 0.6057 | 0.3136 | 0.6057 | 0.7783 |
| No log | 8.3333 | 400 | 0.6107 | 0.3253 | 0.6107 | 0.7815 |
| No log | 8.375 | 402 | 0.6129 | 0.3253 | 0.6129 | 0.7829 |
| No log | 8.4167 | 404 | 0.6139 | 0.3136 | 0.6139 | 0.7835 |
| No log | 8.4583 | 406 | 0.6160 | 0.3136 | 0.6160 | 0.7849 |
| No log | 8.5 | 408 | 0.6198 | 0.2471 | 0.6198 | 0.7873 |
| No log | 8.5417 | 410 | 0.6243 | 0.3136 | 0.6243 | 0.7901 |
| No log | 8.5833 | 412 | 0.6335 | 0.2749 | 0.6335 | 0.7959 |
| No log | 8.625 | 414 | 0.6527 | 0.2360 | 0.6527 | 0.8079 |
| No log | 8.6667 | 416 | 0.6502 | 0.2265 | 0.6502 | 0.8064 |
| No log | 8.7083 | 418 | 0.6320 | 0.3136 | 0.6320 | 0.7950 |
| No log | 8.75 | 420 | 0.6315 | 0.2179 | 0.6315 | 0.7946 |
| No log | 8.7917 | 422 | 0.6480 | 0.2340 | 0.6480 | 0.8050 |
| No log | 8.8333 | 424 | 0.6571 | 0.3089 | 0.6571 | 0.8106 |
| No log | 8.875 | 426 | 0.6564 | 0.3089 | 0.6564 | 0.8102 |
| No log | 8.9167 | 428 | 0.6451 | 0.2000 | 0.6451 | 0.8032 |
| No log | 8.9583 | 430 | 0.6329 | 0.2179 | 0.6329 | 0.7956 |
| No log | 9.0 | 432 | 0.6256 | 0.3023 | 0.6256 | 0.7909 |
| No log | 9.0417 | 434 | 0.6382 | 0.2727 | 0.6382 | 0.7989 |
| No log | 9.0833 | 436 | 0.6596 | 0.2360 | 0.6596 | 0.8121 |
| No log | 9.125 | 438 | 0.6659 | 0.2350 | 0.6659 | 0.8160 |
| No log | 9.1667 | 440 | 0.6588 | 0.2360 | 0.6588 | 0.8117 |
| No log | 9.2083 | 442 | 0.6541 | 0.2360 | 0.6541 | 0.8088 |
| No log | 9.25 | 444 | 0.6388 | 0.2265 | 0.6388 | 0.7992 |
| No log | 9.2917 | 446 | 0.6323 | 0.3216 | 0.6323 | 0.7952 |
| No log | 9.3333 | 448 | 0.6265 | 0.3023 | 0.6265 | 0.7915 |
| No log | 9.375 | 450 | 0.6256 | 0.3023 | 0.6256 | 0.7910 |
| No log | 9.4167 | 452 | 0.6276 | 0.2471 | 0.6276 | 0.7922 |
| No log | 9.4583 | 454 | 0.6289 | 0.2707 | 0.6289 | 0.7930 |
| No log | 9.5 | 456 | 0.6321 | 0.2174 | 0.6321 | 0.7950 |
| No log | 9.5417 | 458 | 0.6364 | 0.2174 | 0.6364 | 0.7977 |
| No log | 9.5833 | 460 | 0.6362 | 0.2174 | 0.6362 | 0.7976 |
| No log | 9.625 | 462 | 0.6359 | 0.2174 | 0.6359 | 0.7975 |
| No log | 9.6667 | 464 | 0.6346 | 0.2174 | 0.6346 | 0.7966 |
| No log | 9.7083 | 466 | 0.6340 | 0.2174 | 0.6340 | 0.7963 |
| No log | 9.75 | 468 | 0.6336 | 0.2174 | 0.6336 | 0.7960 |
| No log | 9.7917 | 470 | 0.6328 | 0.3118 | 0.6328 | 0.7955 |
| No log | 9.8333 | 472 | 0.6324 | 0.3118 | 0.6324 | 0.7952 |
| No log | 9.875 | 474 | 0.6325 | 0.3089 | 0.6325 | 0.7953 |
| No log | 9.9167 | 476 | 0.6326 | 0.3089 | 0.6326 | 0.7953 |
| No log | 9.9583 | 478 | 0.6326 | 0.3089 | 0.6326 | 0.7954 |
| No log | 10.0 | 480 | 0.6326 | 0.3089 | 0.6326 | 0.7953 |
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/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task3_organization
Base model
aubmindlab/bert-base-arabertv02