Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_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: 0.9048
- Qwk: 0.6513
- Mse: 0.9048
- Rmse: 0.9512
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 | 0.0385 | 2 | 5.0263 | -0.0284 | 5.0263 | 2.2419 |
| No log | 0.0769 | 4 | 3.1573 | 0.0119 | 3.1573 | 1.7769 |
| No log | 0.1154 | 6 | 2.9415 | -0.0976 | 2.9415 | 1.7151 |
| No log | 0.1538 | 8 | 3.2140 | -0.0935 | 3.2140 | 1.7928 |
| No log | 0.1923 | 10 | 2.2387 | -0.0848 | 2.2387 | 1.4962 |
| No log | 0.2308 | 12 | 1.6077 | 0.0834 | 1.6077 | 1.2679 |
| No log | 0.2692 | 14 | 1.4133 | 0.0506 | 1.4133 | 1.1888 |
| No log | 0.3077 | 16 | 1.3920 | 0.1534 | 1.3920 | 1.1798 |
| No log | 0.3462 | 18 | 1.6823 | 0.0531 | 1.6823 | 1.2970 |
| No log | 0.3846 | 20 | 2.7410 | -0.0348 | 2.7410 | 1.6556 |
| No log | 0.4231 | 22 | 2.7552 | -0.0296 | 2.7552 | 1.6599 |
| No log | 0.4615 | 24 | 1.6975 | 0.0308 | 1.6975 | 1.3029 |
| No log | 0.5 | 26 | 1.2731 | 0.2978 | 1.2731 | 1.1283 |
| No log | 0.5385 | 28 | 1.1390 | 0.3263 | 1.1390 | 1.0672 |
| No log | 0.5769 | 30 | 1.0858 | 0.3932 | 1.0858 | 1.0420 |
| No log | 0.6154 | 32 | 1.1819 | 0.3472 | 1.1819 | 1.0871 |
| No log | 0.6538 | 34 | 1.1061 | 0.3512 | 1.1061 | 1.0517 |
| No log | 0.6923 | 36 | 1.2376 | 0.2985 | 1.2376 | 1.1125 |
| No log | 0.7308 | 38 | 1.4910 | 0.3291 | 1.4910 | 1.2211 |
| No log | 0.7692 | 40 | 1.5018 | 0.3351 | 1.5018 | 1.2255 |
| No log | 0.8077 | 42 | 1.3802 | 0.3763 | 1.3802 | 1.1748 |
| No log | 0.8462 | 44 | 1.2725 | 0.3381 | 1.2725 | 1.1281 |
| No log | 0.8846 | 46 | 1.0350 | 0.4545 | 1.0350 | 1.0174 |
| No log | 0.9231 | 48 | 0.9276 | 0.4537 | 0.9276 | 0.9631 |
| No log | 0.9615 | 50 | 0.9059 | 0.4020 | 0.9059 | 0.9518 |
| No log | 1.0 | 52 | 0.8939 | 0.4183 | 0.8939 | 0.9455 |
| No log | 1.0385 | 54 | 0.8969 | 0.4586 | 0.8969 | 0.9470 |
| No log | 1.0769 | 56 | 0.8772 | 0.4403 | 0.8772 | 0.9366 |
| No log | 1.1154 | 58 | 0.9046 | 0.4065 | 0.9046 | 0.9511 |
| No log | 1.1538 | 60 | 0.9484 | 0.4213 | 0.9484 | 0.9739 |
| No log | 1.1923 | 62 | 1.0221 | 0.4729 | 1.0221 | 1.0110 |
| No log | 1.2308 | 64 | 1.2850 | 0.3976 | 1.2850 | 1.1336 |
| No log | 1.2692 | 66 | 1.3028 | 0.3698 | 1.3028 | 1.1414 |
| No log | 1.3077 | 68 | 1.0202 | 0.4432 | 1.0202 | 1.0101 |
| No log | 1.3462 | 70 | 0.8799 | 0.4670 | 0.8799 | 0.9380 |
| No log | 1.3846 | 72 | 0.8731 | 0.4503 | 0.8731 | 0.9344 |
| No log | 1.4231 | 74 | 0.8808 | 0.3931 | 0.8808 | 0.9385 |
| No log | 1.4615 | 76 | 0.8696 | 0.4779 | 0.8696 | 0.9325 |
| No log | 1.5 | 78 | 0.9463 | 0.4992 | 0.9463 | 0.9728 |
| No log | 1.5385 | 80 | 0.9827 | 0.4839 | 0.9827 | 0.9913 |
| No log | 1.5769 | 82 | 0.8735 | 0.5655 | 0.8735 | 0.9346 |
| No log | 1.6154 | 84 | 0.8438 | 0.6143 | 0.8438 | 0.9186 |
| No log | 1.6538 | 86 | 0.7865 | 0.6363 | 0.7865 | 0.8868 |
| No log | 1.6923 | 88 | 0.7840 | 0.6453 | 0.7840 | 0.8855 |
| No log | 1.7308 | 90 | 0.7872 | 0.6356 | 0.7872 | 0.8873 |
| No log | 1.7692 | 92 | 0.8262 | 0.5941 | 0.8262 | 0.9090 |
| No log | 1.8077 | 94 | 0.8267 | 0.5879 | 0.8267 | 0.9092 |
| No log | 1.8462 | 96 | 0.9148 | 0.5440 | 0.9148 | 0.9564 |
| No log | 1.8846 | 98 | 0.8348 | 0.6274 | 0.8348 | 0.9137 |
| No log | 1.9231 | 100 | 0.7108 | 0.6075 | 0.7108 | 0.8431 |
| No log | 1.9615 | 102 | 0.7216 | 0.6608 | 0.7216 | 0.8495 |
| No log | 2.0 | 104 | 0.7997 | 0.6288 | 0.7997 | 0.8942 |
| No log | 2.0385 | 106 | 0.7846 | 0.5358 | 0.7846 | 0.8858 |
| No log | 2.0769 | 108 | 0.7773 | 0.5585 | 0.7773 | 0.8816 |
| No log | 2.1154 | 110 | 0.7309 | 0.6263 | 0.7309 | 0.8549 |
| No log | 2.1538 | 112 | 0.7288 | 0.6300 | 0.7288 | 0.8537 |
| No log | 2.1923 | 114 | 0.7406 | 0.6498 | 0.7406 | 0.8606 |
| No log | 2.2308 | 116 | 0.7925 | 0.5968 | 0.7925 | 0.8902 |
| No log | 2.2692 | 118 | 0.8670 | 0.5821 | 0.8670 | 0.9311 |
| No log | 2.3077 | 120 | 0.8898 | 0.6444 | 0.8898 | 0.9433 |
| No log | 2.3462 | 122 | 0.9000 | 0.6572 | 0.9000 | 0.9487 |
| No log | 2.3846 | 124 | 0.8506 | 0.6511 | 0.8506 | 0.9223 |
| No log | 2.4231 | 126 | 0.7623 | 0.7062 | 0.7623 | 0.8731 |
| No log | 2.4615 | 128 | 0.7391 | 0.6693 | 0.7391 | 0.8597 |
| No log | 2.5 | 130 | 0.7891 | 0.6711 | 0.7891 | 0.8883 |
| No log | 2.5385 | 132 | 0.7335 | 0.6822 | 0.7335 | 0.8565 |
| No log | 2.5769 | 134 | 0.7445 | 0.7146 | 0.7445 | 0.8628 |
| No log | 2.6154 | 136 | 0.9817 | 0.5969 | 0.9817 | 0.9908 |
| No log | 2.6538 | 138 | 1.1521 | 0.5225 | 1.1521 | 1.0734 |
| No log | 2.6923 | 140 | 1.1295 | 0.5392 | 1.1295 | 1.0628 |
| No log | 2.7308 | 142 | 0.9423 | 0.5914 | 0.9423 | 0.9707 |
| No log | 2.7692 | 144 | 0.7256 | 0.6919 | 0.7256 | 0.8518 |
| No log | 2.8077 | 146 | 0.6675 | 0.6907 | 0.6675 | 0.8170 |
| No log | 2.8462 | 148 | 0.6696 | 0.6788 | 0.6696 | 0.8183 |
| No log | 2.8846 | 150 | 0.6920 | 0.6599 | 0.6920 | 0.8319 |
| No log | 2.9231 | 152 | 0.7420 | 0.6998 | 0.7420 | 0.8614 |
| No log | 2.9615 | 154 | 0.8004 | 0.6915 | 0.8004 | 0.8946 |
| No log | 3.0 | 156 | 0.7686 | 0.6623 | 0.7686 | 0.8767 |
| No log | 3.0385 | 158 | 0.7853 | 0.6766 | 0.7853 | 0.8862 |
| No log | 3.0769 | 160 | 0.8837 | 0.5989 | 0.8837 | 0.9400 |
| No log | 3.1154 | 162 | 0.9232 | 0.6005 | 0.9232 | 0.9608 |
| No log | 3.1538 | 164 | 0.8916 | 0.5853 | 0.8916 | 0.9442 |
| No log | 3.1923 | 166 | 0.8536 | 0.5808 | 0.8536 | 0.9239 |
| No log | 3.2308 | 168 | 0.8324 | 0.5821 | 0.8324 | 0.9124 |
| No log | 3.2692 | 170 | 0.7956 | 0.6190 | 0.7956 | 0.8920 |
| No log | 3.3077 | 172 | 0.7627 | 0.6039 | 0.7627 | 0.8733 |
| No log | 3.3462 | 174 | 0.7589 | 0.6187 | 0.7589 | 0.8712 |
| No log | 3.3846 | 176 | 0.7802 | 0.6474 | 0.7802 | 0.8833 |
| No log | 3.4231 | 178 | 0.8273 | 0.5983 | 0.8273 | 0.9096 |
| No log | 3.4615 | 180 | 0.9012 | 0.6122 | 0.9012 | 0.9493 |
| No log | 3.5 | 182 | 0.9829 | 0.6097 | 0.9829 | 0.9914 |
| No log | 3.5385 | 184 | 0.9759 | 0.6265 | 0.9759 | 0.9879 |
| No log | 3.5769 | 186 | 0.8973 | 0.6368 | 0.8973 | 0.9473 |
| No log | 3.6154 | 188 | 0.7972 | 0.6363 | 0.7972 | 0.8929 |
| No log | 3.6538 | 190 | 0.7781 | 0.6561 | 0.7781 | 0.8821 |
| No log | 3.6923 | 192 | 0.8283 | 0.6422 | 0.8283 | 0.9101 |
| No log | 3.7308 | 194 | 0.9659 | 0.5920 | 0.9659 | 0.9828 |
| No log | 3.7692 | 196 | 1.1024 | 0.5468 | 1.1024 | 1.0499 |
| No log | 3.8077 | 198 | 1.0942 | 0.5432 | 1.0942 | 1.0460 |
| No log | 3.8462 | 200 | 0.9583 | 0.6079 | 0.9583 | 0.9789 |
| No log | 3.8846 | 202 | 0.8314 | 0.6239 | 0.8314 | 0.9118 |
| No log | 3.9231 | 204 | 0.7717 | 0.6200 | 0.7717 | 0.8785 |
| No log | 3.9615 | 206 | 0.7381 | 0.6365 | 0.7381 | 0.8591 |
| No log | 4.0 | 208 | 0.7303 | 0.6399 | 0.7303 | 0.8546 |
| No log | 4.0385 | 210 | 0.7404 | 0.6844 | 0.7404 | 0.8605 |
| No log | 4.0769 | 212 | 0.8260 | 0.6215 | 0.8260 | 0.9089 |
| No log | 4.1154 | 214 | 0.9420 | 0.5898 | 0.9420 | 0.9706 |
| No log | 4.1538 | 216 | 0.9748 | 0.5820 | 0.9748 | 0.9873 |
| No log | 4.1923 | 218 | 0.9241 | 0.6127 | 0.9241 | 0.9613 |
| No log | 4.2308 | 220 | 0.8817 | 0.6315 | 0.8817 | 0.9390 |
| No log | 4.2692 | 222 | 0.8270 | 0.6899 | 0.8270 | 0.9094 |
| No log | 4.3077 | 224 | 0.8048 | 0.6933 | 0.8048 | 0.8971 |
| No log | 4.3462 | 226 | 0.8126 | 0.6788 | 0.8126 | 0.9014 |
| No log | 4.3846 | 228 | 0.8417 | 0.6609 | 0.8417 | 0.9174 |
| No log | 4.4231 | 230 | 0.8429 | 0.6698 | 0.8429 | 0.9181 |
| No log | 4.4615 | 232 | 0.8390 | 0.6717 | 0.8390 | 0.9160 |
| No log | 4.5 | 234 | 0.8734 | 0.6598 | 0.8734 | 0.9345 |
| No log | 4.5385 | 236 | 0.8803 | 0.6574 | 0.8803 | 0.9382 |
| No log | 4.5769 | 238 | 0.8469 | 0.6816 | 0.8469 | 0.9203 |
| No log | 4.6154 | 240 | 0.8012 | 0.7038 | 0.8012 | 0.8951 |
| No log | 4.6538 | 242 | 0.7984 | 0.6827 | 0.7984 | 0.8935 |
| No log | 4.6923 | 244 | 0.7973 | 0.6677 | 0.7973 | 0.8929 |
| No log | 4.7308 | 246 | 0.7571 | 0.6825 | 0.7571 | 0.8701 |
| No log | 4.7692 | 248 | 0.7217 | 0.6768 | 0.7217 | 0.8495 |
| No log | 4.8077 | 250 | 0.7676 | 0.6912 | 0.7676 | 0.8762 |
| No log | 4.8462 | 252 | 0.8563 | 0.6581 | 0.8563 | 0.9254 |
| No log | 4.8846 | 254 | 0.9358 | 0.6259 | 0.9358 | 0.9674 |
| No log | 4.9231 | 256 | 0.9038 | 0.6218 | 0.9038 | 0.9507 |
| No log | 4.9615 | 258 | 0.8279 | 0.6430 | 0.8279 | 0.9099 |
| No log | 5.0 | 260 | 0.8164 | 0.6521 | 0.8164 | 0.9035 |
| No log | 5.0385 | 262 | 0.8039 | 0.6403 | 0.8039 | 0.8966 |
| No log | 5.0769 | 264 | 0.7685 | 0.6493 | 0.7685 | 0.8766 |
| No log | 5.1154 | 266 | 0.7551 | 0.6510 | 0.7551 | 0.8690 |
| No log | 5.1538 | 268 | 0.7715 | 0.6443 | 0.7715 | 0.8783 |
| No log | 5.1923 | 270 | 0.8180 | 0.6393 | 0.8180 | 0.9044 |
| No log | 5.2308 | 272 | 0.8919 | 0.5987 | 0.8919 | 0.9444 |
| No log | 5.2692 | 274 | 0.9318 | 0.5932 | 0.9318 | 0.9653 |
| No log | 5.3077 | 276 | 0.9068 | 0.5844 | 0.9068 | 0.9523 |
| No log | 5.3462 | 278 | 0.8684 | 0.6310 | 0.8684 | 0.9319 |
| No log | 5.3846 | 280 | 0.8256 | 0.6659 | 0.8256 | 0.9086 |
| No log | 5.4231 | 282 | 0.7847 | 0.6684 | 0.7847 | 0.8858 |
| No log | 5.4615 | 284 | 0.7619 | 0.6681 | 0.7619 | 0.8729 |
| No log | 5.5 | 286 | 0.7397 | 0.6968 | 0.7397 | 0.8601 |
| No log | 5.5385 | 288 | 0.7326 | 0.7194 | 0.7326 | 0.8559 |
| No log | 5.5769 | 290 | 0.7567 | 0.6832 | 0.7567 | 0.8699 |
| No log | 5.6154 | 292 | 0.7984 | 0.6796 | 0.7984 | 0.8936 |
| No log | 5.6538 | 294 | 0.8269 | 0.6624 | 0.8269 | 0.9093 |
| No log | 5.6923 | 296 | 0.8454 | 0.6610 | 0.8454 | 0.9195 |
| No log | 5.7308 | 298 | 0.8513 | 0.6678 | 0.8513 | 0.9227 |
| No log | 5.7692 | 300 | 0.8259 | 0.6737 | 0.8259 | 0.9088 |
| No log | 5.8077 | 302 | 0.8232 | 0.6676 | 0.8232 | 0.9073 |
| No log | 5.8462 | 304 | 0.7857 | 0.6803 | 0.7857 | 0.8864 |
| No log | 5.8846 | 306 | 0.7601 | 0.6645 | 0.7601 | 0.8718 |
| No log | 5.9231 | 308 | 0.7463 | 0.6956 | 0.7463 | 0.8639 |
| No log | 5.9615 | 310 | 0.7538 | 0.6831 | 0.7538 | 0.8682 |
| No log | 6.0 | 312 | 0.7571 | 0.6704 | 0.7571 | 0.8701 |
| No log | 6.0385 | 314 | 0.7866 | 0.6462 | 0.7866 | 0.8869 |
| No log | 6.0769 | 316 | 0.8195 | 0.6609 | 0.8195 | 0.9052 |
| No log | 6.1154 | 318 | 0.8069 | 0.6544 | 0.8069 | 0.8983 |
| No log | 6.1538 | 320 | 0.7981 | 0.6395 | 0.7981 | 0.8934 |
| No log | 6.1923 | 322 | 0.8079 | 0.6440 | 0.8079 | 0.8988 |
| No log | 6.2308 | 324 | 0.8553 | 0.6238 | 0.8553 | 0.9248 |
| No log | 6.2692 | 326 | 0.9424 | 0.6418 | 0.9424 | 0.9708 |
| No log | 6.3077 | 328 | 1.0159 | 0.6114 | 1.0159 | 1.0079 |
| No log | 6.3462 | 330 | 1.0966 | 0.5926 | 1.0966 | 1.0472 |
| No log | 6.3846 | 332 | 1.1125 | 0.5840 | 1.1125 | 1.0548 |
| No log | 6.4231 | 334 | 1.0370 | 0.6073 | 1.0370 | 1.0183 |
| No log | 6.4615 | 336 | 0.9478 | 0.6327 | 0.9478 | 0.9735 |
| No log | 6.5 | 338 | 0.8232 | 0.6811 | 0.8232 | 0.9073 |
| No log | 6.5385 | 340 | 0.7482 | 0.7114 | 0.7482 | 0.8650 |
| No log | 6.5769 | 342 | 0.7297 | 0.7293 | 0.7297 | 0.8542 |
| No log | 6.6154 | 344 | 0.7401 | 0.7389 | 0.7401 | 0.8603 |
| No log | 6.6538 | 346 | 0.7627 | 0.7069 | 0.7627 | 0.8733 |
| No log | 6.6923 | 348 | 0.7613 | 0.7246 | 0.7613 | 0.8725 |
| No log | 6.7308 | 350 | 0.7492 | 0.7246 | 0.7492 | 0.8656 |
| No log | 6.7692 | 352 | 0.7274 | 0.7169 | 0.7274 | 0.8529 |
| No log | 6.8077 | 354 | 0.7302 | 0.7208 | 0.7302 | 0.8545 |
| No log | 6.8462 | 356 | 0.7680 | 0.6972 | 0.7680 | 0.8764 |
| No log | 6.8846 | 358 | 0.8089 | 0.6924 | 0.8089 | 0.8994 |
| No log | 6.9231 | 360 | 0.8419 | 0.6761 | 0.8419 | 0.9175 |
| No log | 6.9615 | 362 | 0.8922 | 0.6624 | 0.8922 | 0.9446 |
| No log | 7.0 | 364 | 0.9226 | 0.6620 | 0.9226 | 0.9605 |
| No log | 7.0385 | 366 | 0.9256 | 0.6645 | 0.9256 | 0.9621 |
| No log | 7.0769 | 368 | 0.8926 | 0.6740 | 0.8926 | 0.9448 |
| No log | 7.1154 | 370 | 0.8305 | 0.6729 | 0.8305 | 0.9113 |
| No log | 7.1538 | 372 | 0.7926 | 0.6603 | 0.7926 | 0.8903 |
| No log | 7.1923 | 374 | 0.7835 | 0.6603 | 0.7835 | 0.8851 |
| No log | 7.2308 | 376 | 0.8007 | 0.6603 | 0.8007 | 0.8948 |
| No log | 7.2692 | 378 | 0.8478 | 0.6764 | 0.8478 | 0.9208 |
| No log | 7.3077 | 380 | 0.8648 | 0.6808 | 0.8648 | 0.9299 |
| No log | 7.3462 | 382 | 0.8711 | 0.6897 | 0.8711 | 0.9333 |
| No log | 7.3846 | 384 | 0.8733 | 0.6897 | 0.8733 | 0.9345 |
| No log | 7.4231 | 386 | 0.9037 | 0.6742 | 0.9037 | 0.9506 |
| No log | 7.4615 | 388 | 0.9041 | 0.6742 | 0.9041 | 0.9509 |
| No log | 7.5 | 390 | 0.8836 | 0.6706 | 0.8836 | 0.9400 |
| No log | 7.5385 | 392 | 0.8395 | 0.6952 | 0.8395 | 0.9163 |
| No log | 7.5769 | 394 | 0.7859 | 0.6911 | 0.7859 | 0.8865 |
| No log | 7.6154 | 396 | 0.7491 | 0.6936 | 0.7491 | 0.8655 |
| No log | 7.6538 | 398 | 0.7351 | 0.7122 | 0.7351 | 0.8574 |
| No log | 7.6923 | 400 | 0.7207 | 0.7303 | 0.7207 | 0.8489 |
| No log | 7.7308 | 402 | 0.7193 | 0.7303 | 0.7193 | 0.8481 |
| No log | 7.7692 | 404 | 0.7387 | 0.7181 | 0.7387 | 0.8595 |
| No log | 7.8077 | 406 | 0.7719 | 0.7056 | 0.7719 | 0.8786 |
| No log | 7.8462 | 408 | 0.8362 | 0.6763 | 0.8362 | 0.9145 |
| No log | 7.8846 | 410 | 0.8836 | 0.6671 | 0.8836 | 0.9400 |
| No log | 7.9231 | 412 | 0.9089 | 0.6430 | 0.9089 | 0.9534 |
| No log | 7.9615 | 414 | 0.9009 | 0.6505 | 0.9009 | 0.9492 |
| No log | 8.0 | 416 | 0.8783 | 0.6604 | 0.8783 | 0.9372 |
| No log | 8.0385 | 418 | 0.8417 | 0.6697 | 0.8417 | 0.9174 |
| No log | 8.0769 | 420 | 0.8112 | 0.6916 | 0.8112 | 0.9007 |
| No log | 8.1154 | 422 | 0.7958 | 0.6916 | 0.7958 | 0.8921 |
| No log | 8.1538 | 424 | 0.8071 | 0.6780 | 0.8071 | 0.8984 |
| No log | 8.1923 | 426 | 0.8192 | 0.6780 | 0.8192 | 0.9051 |
| No log | 8.2308 | 428 | 0.8286 | 0.6763 | 0.8286 | 0.9103 |
| No log | 8.2692 | 430 | 0.8502 | 0.6671 | 0.8502 | 0.9221 |
| No log | 8.3077 | 432 | 0.8754 | 0.6444 | 0.8754 | 0.9356 |
| No log | 8.3462 | 434 | 0.8933 | 0.6444 | 0.8933 | 0.9451 |
| No log | 8.3846 | 436 | 0.8947 | 0.6430 | 0.8947 | 0.9459 |
| No log | 8.4231 | 438 | 0.8774 | 0.6444 | 0.8774 | 0.9367 |
| No log | 8.4615 | 440 | 0.8484 | 0.6629 | 0.8484 | 0.9211 |
| No log | 8.5 | 442 | 0.8155 | 0.6730 | 0.8155 | 0.9030 |
| No log | 8.5385 | 444 | 0.7996 | 0.6633 | 0.7996 | 0.8942 |
| No log | 8.5769 | 446 | 0.7961 | 0.6790 | 0.7961 | 0.8922 |
| No log | 8.6154 | 448 | 0.8009 | 0.6678 | 0.8009 | 0.8949 |
| No log | 8.6538 | 450 | 0.8093 | 0.6688 | 0.8093 | 0.8996 |
| No log | 8.6923 | 452 | 0.8181 | 0.6688 | 0.8181 | 0.9045 |
| No log | 8.7308 | 454 | 0.8227 | 0.6688 | 0.8227 | 0.9070 |
| No log | 8.7692 | 456 | 0.8384 | 0.6706 | 0.8384 | 0.9157 |
| No log | 8.8077 | 458 | 0.8413 | 0.6706 | 0.8413 | 0.9172 |
| No log | 8.8462 | 460 | 0.8521 | 0.6706 | 0.8521 | 0.9231 |
| No log | 8.8846 | 462 | 0.8636 | 0.6723 | 0.8636 | 0.9293 |
| No log | 8.9231 | 464 | 0.8825 | 0.6697 | 0.8825 | 0.9394 |
| No log | 8.9615 | 466 | 0.8883 | 0.6697 | 0.8883 | 0.9425 |
| No log | 9.0 | 468 | 0.8905 | 0.6697 | 0.8905 | 0.9437 |
| No log | 9.0385 | 470 | 0.8884 | 0.6690 | 0.8884 | 0.9425 |
| No log | 9.0769 | 472 | 0.8742 | 0.6697 | 0.8742 | 0.9350 |
| No log | 9.1154 | 474 | 0.8596 | 0.6713 | 0.8596 | 0.9272 |
| No log | 9.1538 | 476 | 0.8552 | 0.6713 | 0.8552 | 0.9248 |
| No log | 9.1923 | 478 | 0.8553 | 0.6713 | 0.8553 | 0.9248 |
| No log | 9.2308 | 480 | 0.8697 | 0.6713 | 0.8697 | 0.9326 |
| No log | 9.2692 | 482 | 0.8917 | 0.6706 | 0.8917 | 0.9443 |
| No log | 9.3077 | 484 | 0.9080 | 0.6690 | 0.9080 | 0.9529 |
| No log | 9.3462 | 486 | 0.9205 | 0.6437 | 0.9205 | 0.9594 |
| No log | 9.3846 | 488 | 0.9306 | 0.6367 | 0.9306 | 0.9647 |
| No log | 9.4231 | 490 | 0.9410 | 0.6297 | 0.9410 | 0.9700 |
| No log | 9.4615 | 492 | 0.9556 | 0.6254 | 0.9556 | 0.9775 |
| No log | 9.5 | 494 | 0.9558 | 0.6254 | 0.9558 | 0.9777 |
| No log | 9.5385 | 496 | 0.9512 | 0.6254 | 0.9512 | 0.9753 |
| No log | 9.5769 | 498 | 0.9487 | 0.6254 | 0.9487 | 0.9740 |
| 0.4352 | 9.6154 | 500 | 0.9447 | 0.6254 | 0.9447 | 0.9720 |
| 0.4352 | 9.6538 | 502 | 0.9394 | 0.6268 | 0.9394 | 0.9692 |
| 0.4352 | 9.6923 | 504 | 0.9366 | 0.6268 | 0.9366 | 0.9678 |
| 0.4352 | 9.7308 | 506 | 0.9342 | 0.6402 | 0.9342 | 0.9665 |
| 0.4352 | 9.7692 | 508 | 0.9277 | 0.6471 | 0.9277 | 0.9632 |
| 0.4352 | 9.8077 | 510 | 0.9215 | 0.6540 | 0.9215 | 0.9599 |
| 0.4352 | 9.8462 | 512 | 0.9163 | 0.6513 | 0.9163 | 0.9572 |
| 0.4352 | 9.8846 | 514 | 0.9122 | 0.6513 | 0.9122 | 0.9551 |
| 0.4352 | 9.9231 | 516 | 0.9082 | 0.6513 | 0.9082 | 0.9530 |
| 0.4352 | 9.9615 | 518 | 0.9055 | 0.6513 | 0.9055 | 0.9516 |
| 0.4352 | 10.0 | 520 | 0.9048 | 0.6513 | 0.9048 | 0.9512 |
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/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02