Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_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_k4_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_k4_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_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: 0.9401
- Qwk: 0.5849
- Mse: 0.9401
- Rmse: 0.9696
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 | 0.0952 | 2 | 5.4575 | -0.0034 | 5.4575 | 2.3361 |
| No log | 0.1905 | 4 | 3.1915 | 0.0731 | 3.1915 | 1.7865 |
| No log | 0.2857 | 6 | 1.8557 | 0.0957 | 1.8557 | 1.3622 |
| No log | 0.3810 | 8 | 1.4128 | 0.1749 | 1.4128 | 1.1886 |
| No log | 0.4762 | 10 | 1.0893 | 0.3875 | 1.0893 | 1.0437 |
| No log | 0.5714 | 12 | 1.1042 | 0.2166 | 1.1042 | 1.0508 |
| No log | 0.6667 | 14 | 1.3794 | 0.0728 | 1.3794 | 1.1745 |
| No log | 0.7619 | 16 | 1.5201 | -0.0560 | 1.5201 | 1.2329 |
| No log | 0.8571 | 18 | 1.2366 | 0.1539 | 1.2366 | 1.1120 |
| No log | 0.9524 | 20 | 1.0312 | 0.3123 | 1.0312 | 1.0155 |
| No log | 1.0476 | 22 | 1.4037 | 0.1251 | 1.4037 | 1.1848 |
| No log | 1.1429 | 24 | 1.6946 | 0.0882 | 1.6946 | 1.3018 |
| No log | 1.2381 | 26 | 1.6512 | 0.0882 | 1.6512 | 1.2850 |
| No log | 1.3333 | 28 | 1.4524 | 0.0529 | 1.4524 | 1.2051 |
| No log | 1.4286 | 30 | 1.2110 | 0.2151 | 1.2110 | 1.1005 |
| No log | 1.5238 | 32 | 0.9643 | 0.4183 | 0.9643 | 0.9820 |
| No log | 1.6190 | 34 | 0.8673 | 0.3342 | 0.8673 | 0.9313 |
| No log | 1.7143 | 36 | 0.8385 | 0.3633 | 0.8385 | 0.9157 |
| No log | 1.8095 | 38 | 1.2718 | 0.4045 | 1.2718 | 1.1277 |
| No log | 1.9048 | 40 | 1.7599 | 0.2156 | 1.7599 | 1.3266 |
| No log | 2.0 | 42 | 1.4785 | 0.3494 | 1.4785 | 1.2159 |
| No log | 2.0952 | 44 | 1.0005 | 0.4799 | 1.0005 | 1.0002 |
| No log | 2.1905 | 46 | 0.7626 | 0.4805 | 0.7626 | 0.8733 |
| No log | 2.2857 | 48 | 0.7505 | 0.5026 | 0.7505 | 0.8663 |
| No log | 2.3810 | 50 | 0.8496 | 0.5164 | 0.8496 | 0.9218 |
| No log | 2.4762 | 52 | 0.9954 | 0.5145 | 0.9954 | 0.9977 |
| No log | 2.5714 | 54 | 1.0639 | 0.4970 | 1.0639 | 1.0314 |
| No log | 2.6667 | 56 | 1.0107 | 0.5376 | 1.0107 | 1.0053 |
| No log | 2.7619 | 58 | 0.8754 | 0.5797 | 0.8754 | 0.9356 |
| No log | 2.8571 | 60 | 0.7233 | 0.6734 | 0.7233 | 0.8505 |
| No log | 2.9524 | 62 | 0.6455 | 0.7091 | 0.6455 | 0.8034 |
| No log | 3.0476 | 64 | 0.7534 | 0.5901 | 0.7534 | 0.8680 |
| No log | 3.1429 | 66 | 0.8320 | 0.6319 | 0.8320 | 0.9121 |
| No log | 3.2381 | 68 | 0.6828 | 0.6539 | 0.6828 | 0.8263 |
| No log | 3.3333 | 70 | 0.6806 | 0.6755 | 0.6806 | 0.8250 |
| No log | 3.4286 | 72 | 1.0626 | 0.5521 | 1.0626 | 1.0308 |
| No log | 3.5238 | 74 | 1.0541 | 0.5339 | 1.0541 | 1.0267 |
| No log | 3.6190 | 76 | 0.7691 | 0.6977 | 0.7691 | 0.8770 |
| No log | 3.7143 | 78 | 0.7173 | 0.6963 | 0.7173 | 0.8469 |
| No log | 3.8095 | 80 | 0.6900 | 0.7160 | 0.6900 | 0.8307 |
| No log | 3.9048 | 82 | 0.6835 | 0.7116 | 0.6835 | 0.8268 |
| No log | 4.0 | 84 | 0.6671 | 0.7187 | 0.6671 | 0.8167 |
| No log | 4.0952 | 86 | 0.6888 | 0.6905 | 0.6888 | 0.8299 |
| No log | 4.1905 | 88 | 0.6539 | 0.7262 | 0.6539 | 0.8086 |
| No log | 4.2857 | 90 | 0.6823 | 0.6888 | 0.6823 | 0.8260 |
| No log | 4.3810 | 92 | 0.8224 | 0.6600 | 0.8224 | 0.9069 |
| No log | 4.4762 | 94 | 0.8017 | 0.6841 | 0.8017 | 0.8954 |
| No log | 4.5714 | 96 | 0.6653 | 0.7032 | 0.6653 | 0.8157 |
| No log | 4.6667 | 98 | 0.6265 | 0.7176 | 0.6265 | 0.7915 |
| No log | 4.7619 | 100 | 0.6367 | 0.7515 | 0.6367 | 0.7979 |
| No log | 4.8571 | 102 | 0.6516 | 0.6924 | 0.6516 | 0.8072 |
| No log | 4.9524 | 104 | 0.7635 | 0.7186 | 0.7635 | 0.8738 |
| No log | 5.0476 | 106 | 0.8807 | 0.7040 | 0.8807 | 0.9385 |
| No log | 5.1429 | 108 | 0.8814 | 0.6959 | 0.8814 | 0.9388 |
| No log | 5.2381 | 110 | 0.8061 | 0.7077 | 0.8061 | 0.8978 |
| No log | 5.3333 | 112 | 0.7662 | 0.6913 | 0.7662 | 0.8753 |
| No log | 5.4286 | 114 | 0.8448 | 0.6391 | 0.8448 | 0.9192 |
| No log | 5.5238 | 116 | 0.8666 | 0.5946 | 0.8666 | 0.9309 |
| No log | 5.6190 | 118 | 0.7983 | 0.6373 | 0.7983 | 0.8935 |
| No log | 5.7143 | 120 | 0.7500 | 0.6940 | 0.7500 | 0.8660 |
| No log | 5.8095 | 122 | 0.7349 | 0.7001 | 0.7349 | 0.8572 |
| No log | 5.9048 | 124 | 0.7388 | 0.6828 | 0.7388 | 0.8596 |
| No log | 6.0 | 126 | 0.7880 | 0.6628 | 0.7880 | 0.8877 |
| No log | 6.0952 | 128 | 0.8013 | 0.6418 | 0.8013 | 0.8952 |
| No log | 6.1905 | 130 | 0.7775 | 0.6908 | 0.7775 | 0.8817 |
| No log | 6.2857 | 132 | 0.7579 | 0.6832 | 0.7579 | 0.8706 |
| No log | 6.3810 | 134 | 0.8110 | 0.6508 | 0.8110 | 0.9005 |
| No log | 6.4762 | 136 | 0.8547 | 0.6139 | 0.8547 | 0.9245 |
| No log | 6.5714 | 138 | 0.8054 | 0.6431 | 0.8054 | 0.8974 |
| No log | 6.6667 | 140 | 0.7537 | 0.6719 | 0.7537 | 0.8682 |
| No log | 6.7619 | 142 | 0.7179 | 0.7130 | 0.7179 | 0.8473 |
| No log | 6.8571 | 144 | 0.7280 | 0.7225 | 0.7280 | 0.8532 |
| No log | 6.9524 | 146 | 0.7667 | 0.6541 | 0.7667 | 0.8756 |
| No log | 7.0476 | 148 | 0.7783 | 0.6466 | 0.7783 | 0.8822 |
| No log | 7.1429 | 150 | 0.7795 | 0.6555 | 0.7795 | 0.8829 |
| No log | 7.2381 | 152 | 0.7830 | 0.6609 | 0.7830 | 0.8848 |
| No log | 7.3333 | 154 | 0.7539 | 0.6582 | 0.7539 | 0.8683 |
| No log | 7.4286 | 156 | 0.7009 | 0.7104 | 0.7009 | 0.8372 |
| No log | 7.5238 | 158 | 0.6876 | 0.7148 | 0.6876 | 0.8292 |
| No log | 7.6190 | 160 | 0.7004 | 0.6873 | 0.7004 | 0.8369 |
| No log | 7.7143 | 162 | 0.7365 | 0.6846 | 0.7365 | 0.8582 |
| No log | 7.8095 | 164 | 0.7143 | 0.6915 | 0.7143 | 0.8451 |
| No log | 7.9048 | 166 | 0.6949 | 0.7243 | 0.6949 | 0.8336 |
| No log | 8.0 | 168 | 0.7128 | 0.6349 | 0.7128 | 0.8443 |
| No log | 8.0952 | 170 | 0.7157 | 0.6492 | 0.7157 | 0.8460 |
| No log | 8.1905 | 172 | 0.7063 | 0.6421 | 0.7063 | 0.8404 |
| No log | 8.2857 | 174 | 0.7267 | 0.6677 | 0.7267 | 0.8525 |
| No log | 8.3810 | 176 | 0.7439 | 0.6889 | 0.7439 | 0.8625 |
| No log | 8.4762 | 178 | 0.7644 | 0.7019 | 0.7644 | 0.8743 |
| No log | 8.5714 | 180 | 0.8771 | 0.6426 | 0.8771 | 0.9365 |
| No log | 8.6667 | 182 | 1.0764 | 0.6114 | 1.0764 | 1.0375 |
| No log | 8.7619 | 184 | 1.1206 | 0.6130 | 1.1206 | 1.0586 |
| No log | 8.8571 | 186 | 1.0494 | 0.6175 | 1.0494 | 1.0244 |
| No log | 8.9524 | 188 | 1.0154 | 0.5909 | 1.0154 | 1.0077 |
| No log | 9.0476 | 190 | 0.8940 | 0.6230 | 0.8940 | 0.9455 |
| No log | 9.1429 | 192 | 0.7919 | 0.6635 | 0.7919 | 0.8899 |
| No log | 9.2381 | 194 | 0.7696 | 0.6788 | 0.7696 | 0.8773 |
| No log | 9.3333 | 196 | 0.7810 | 0.6739 | 0.7810 | 0.8837 |
| No log | 9.4286 | 198 | 0.8130 | 0.6652 | 0.8130 | 0.9016 |
| No log | 9.5238 | 200 | 0.8609 | 0.6574 | 0.8609 | 0.9278 |
| No log | 9.6190 | 202 | 0.8953 | 0.6729 | 0.8953 | 0.9462 |
| No log | 9.7143 | 204 | 0.8610 | 0.6683 | 0.8610 | 0.9279 |
| No log | 9.8095 | 206 | 0.8261 | 0.6640 | 0.8261 | 0.9089 |
| No log | 9.9048 | 208 | 0.7443 | 0.7147 | 0.7443 | 0.8627 |
| No log | 10.0 | 210 | 0.7295 | 0.6981 | 0.7295 | 0.8541 |
| No log | 10.0952 | 212 | 0.7299 | 0.6713 | 0.7299 | 0.8543 |
| No log | 10.1905 | 214 | 0.7392 | 0.6867 | 0.7392 | 0.8597 |
| No log | 10.2857 | 216 | 0.7688 | 0.7376 | 0.7688 | 0.8768 |
| No log | 10.3810 | 218 | 0.8126 | 0.6736 | 0.8126 | 0.9014 |
| No log | 10.4762 | 220 | 0.7865 | 0.6728 | 0.7865 | 0.8868 |
| No log | 10.5714 | 222 | 0.7320 | 0.7262 | 0.7320 | 0.8556 |
| No log | 10.6667 | 224 | 0.7640 | 0.6997 | 0.7640 | 0.8741 |
| No log | 10.7619 | 226 | 0.8037 | 0.6808 | 0.8037 | 0.8965 |
| No log | 10.8571 | 228 | 0.8000 | 0.6853 | 0.8000 | 0.8944 |
| No log | 10.9524 | 230 | 0.7734 | 0.6841 | 0.7734 | 0.8794 |
| No log | 11.0476 | 232 | 0.7051 | 0.7267 | 0.7051 | 0.8397 |
| No log | 11.1429 | 234 | 0.7574 | 0.6769 | 0.7574 | 0.8703 |
| No log | 11.2381 | 236 | 0.8742 | 0.6163 | 0.8742 | 0.9350 |
| No log | 11.3333 | 238 | 0.8715 | 0.6224 | 0.8715 | 0.9336 |
| No log | 11.4286 | 240 | 0.7738 | 0.6282 | 0.7738 | 0.8797 |
| No log | 11.5238 | 242 | 0.7076 | 0.6076 | 0.7076 | 0.8412 |
| No log | 11.6190 | 244 | 0.6982 | 0.6555 | 0.6982 | 0.8356 |
| No log | 11.7143 | 246 | 0.7184 | 0.6903 | 0.7184 | 0.8476 |
| No log | 11.8095 | 248 | 0.7735 | 0.7022 | 0.7735 | 0.8795 |
| No log | 11.9048 | 250 | 0.9330 | 0.6574 | 0.9330 | 0.9659 |
| No log | 12.0 | 252 | 1.0010 | 0.6151 | 1.0010 | 1.0005 |
| No log | 12.0952 | 254 | 0.8962 | 0.6145 | 0.8962 | 0.9467 |
| No log | 12.1905 | 256 | 0.7193 | 0.6884 | 0.7193 | 0.8481 |
| No log | 12.2857 | 258 | 0.6898 | 0.6220 | 0.6898 | 0.8305 |
| No log | 12.3810 | 260 | 0.6998 | 0.6449 | 0.6998 | 0.8365 |
| No log | 12.4762 | 262 | 0.7083 | 0.7005 | 0.7083 | 0.8416 |
| No log | 12.5714 | 264 | 0.7162 | 0.7037 | 0.7162 | 0.8463 |
| No log | 12.6667 | 266 | 0.7923 | 0.6739 | 0.7923 | 0.8901 |
| No log | 12.7619 | 268 | 0.9672 | 0.5968 | 0.9672 | 0.9835 |
| No log | 12.8571 | 270 | 0.9872 | 0.5923 | 0.9872 | 0.9936 |
| No log | 12.9524 | 272 | 0.8682 | 0.6297 | 0.8682 | 0.9318 |
| No log | 13.0476 | 274 | 0.7290 | 0.6732 | 0.7290 | 0.8538 |
| No log | 13.1429 | 276 | 0.6667 | 0.7112 | 0.6667 | 0.8165 |
| No log | 13.2381 | 278 | 0.7001 | 0.7223 | 0.7001 | 0.8367 |
| No log | 13.3333 | 280 | 0.7306 | 0.7111 | 0.7306 | 0.8548 |
| No log | 13.4286 | 282 | 0.7216 | 0.7170 | 0.7216 | 0.8495 |
| No log | 13.5238 | 284 | 0.7185 | 0.7098 | 0.7185 | 0.8476 |
| No log | 13.6190 | 286 | 0.7334 | 0.6867 | 0.7334 | 0.8564 |
| No log | 13.7143 | 288 | 0.7696 | 0.6584 | 0.7696 | 0.8773 |
| No log | 13.8095 | 290 | 0.7355 | 0.6730 | 0.7355 | 0.8576 |
| No log | 13.9048 | 292 | 0.6874 | 0.6954 | 0.6874 | 0.8291 |
| No log | 14.0 | 294 | 0.6980 | 0.7184 | 0.6980 | 0.8354 |
| No log | 14.0952 | 296 | 0.7219 | 0.7018 | 0.7219 | 0.8496 |
| No log | 14.1905 | 298 | 0.7144 | 0.7131 | 0.7144 | 0.8452 |
| No log | 14.2857 | 300 | 0.7203 | 0.6887 | 0.7203 | 0.8487 |
| No log | 14.3810 | 302 | 0.7663 | 0.6868 | 0.7663 | 0.8754 |
| No log | 14.4762 | 304 | 0.7878 | 0.6485 | 0.7878 | 0.8876 |
| No log | 14.5714 | 306 | 0.7444 | 0.6813 | 0.7444 | 0.8628 |
| No log | 14.6667 | 308 | 0.6641 | 0.7356 | 0.6641 | 0.8149 |
| No log | 14.7619 | 310 | 0.6729 | 0.7227 | 0.6729 | 0.8203 |
| No log | 14.8571 | 312 | 0.7039 | 0.6989 | 0.7039 | 0.8390 |
| No log | 14.9524 | 314 | 0.7269 | 0.7071 | 0.7269 | 0.8526 |
| No log | 15.0476 | 316 | 0.7792 | 0.6754 | 0.7792 | 0.8827 |
| No log | 15.1429 | 318 | 0.7796 | 0.7011 | 0.7796 | 0.8830 |
| No log | 15.2381 | 320 | 0.7581 | 0.7072 | 0.7581 | 0.8707 |
| No log | 15.3333 | 322 | 0.7734 | 0.6918 | 0.7734 | 0.8794 |
| No log | 15.4286 | 324 | 0.7548 | 0.7122 | 0.7548 | 0.8688 |
| No log | 15.5238 | 326 | 0.7103 | 0.7443 | 0.7103 | 0.8428 |
| No log | 15.6190 | 328 | 0.7013 | 0.7223 | 0.7013 | 0.8375 |
| No log | 15.7143 | 330 | 0.7106 | 0.7346 | 0.7106 | 0.8430 |
| No log | 15.8095 | 332 | 0.7155 | 0.7283 | 0.7155 | 0.8459 |
| No log | 15.9048 | 334 | 0.7659 | 0.6874 | 0.7659 | 0.8751 |
| No log | 16.0 | 336 | 0.7934 | 0.6780 | 0.7934 | 0.8907 |
| No log | 16.0952 | 338 | 0.7485 | 0.7149 | 0.7485 | 0.8652 |
| No log | 16.1905 | 340 | 0.7063 | 0.7284 | 0.7063 | 0.8404 |
| No log | 16.2857 | 342 | 0.6836 | 0.7123 | 0.6836 | 0.8268 |
| No log | 16.3810 | 344 | 0.6934 | 0.6944 | 0.6934 | 0.8327 |
| No log | 16.4762 | 346 | 0.6968 | 0.7181 | 0.6968 | 0.8347 |
| No log | 16.5714 | 348 | 0.7301 | 0.7285 | 0.7301 | 0.8545 |
| No log | 16.6667 | 350 | 0.7747 | 0.6986 | 0.7747 | 0.8802 |
| No log | 16.7619 | 352 | 0.8192 | 0.7050 | 0.8192 | 0.9051 |
| No log | 16.8571 | 354 | 0.8820 | 0.6178 | 0.8820 | 0.9391 |
| No log | 16.9524 | 356 | 0.8570 | 0.6200 | 0.8570 | 0.9257 |
| No log | 17.0476 | 358 | 0.7794 | 0.6768 | 0.7794 | 0.8828 |
| No log | 17.1429 | 360 | 0.7383 | 0.7102 | 0.7383 | 0.8593 |
| No log | 17.2381 | 362 | 0.7260 | 0.7107 | 0.7260 | 0.8521 |
| No log | 17.3333 | 364 | 0.7229 | 0.6920 | 0.7229 | 0.8502 |
| No log | 17.4286 | 366 | 0.7208 | 0.7023 | 0.7208 | 0.8490 |
| No log | 17.5238 | 368 | 0.7334 | 0.7094 | 0.7334 | 0.8564 |
| No log | 17.6190 | 370 | 0.7571 | 0.6771 | 0.7571 | 0.8701 |
| No log | 17.7143 | 372 | 0.7687 | 0.6865 | 0.7687 | 0.8768 |
| No log | 17.8095 | 374 | 0.7824 | 0.6965 | 0.7824 | 0.8845 |
| No log | 17.9048 | 376 | 0.7747 | 0.7062 | 0.7747 | 0.8802 |
| No log | 18.0 | 378 | 0.7464 | 0.7055 | 0.7464 | 0.8639 |
| No log | 18.0952 | 380 | 0.7322 | 0.7017 | 0.7322 | 0.8557 |
| No log | 18.1905 | 382 | 0.7316 | 0.7016 | 0.7316 | 0.8554 |
| No log | 18.2857 | 384 | 0.7056 | 0.7006 | 0.7056 | 0.8400 |
| No log | 18.3810 | 386 | 0.6816 | 0.6787 | 0.6816 | 0.8256 |
| No log | 18.4762 | 388 | 0.6785 | 0.6787 | 0.6785 | 0.8237 |
| No log | 18.5714 | 390 | 0.6821 | 0.6955 | 0.6821 | 0.8259 |
| No log | 18.6667 | 392 | 0.7246 | 0.6954 | 0.7246 | 0.8512 |
| No log | 18.7619 | 394 | 0.8160 | 0.6482 | 0.8160 | 0.9033 |
| No log | 18.8571 | 396 | 0.9554 | 0.6448 | 0.9554 | 0.9774 |
| No log | 18.9524 | 398 | 0.9377 | 0.6835 | 0.9377 | 0.9684 |
| No log | 19.0476 | 400 | 0.8252 | 0.6824 | 0.8252 | 0.9084 |
| No log | 19.1429 | 402 | 0.7104 | 0.7353 | 0.7104 | 0.8428 |
| No log | 19.2381 | 404 | 0.6716 | 0.6988 | 0.6716 | 0.8195 |
| No log | 19.3333 | 406 | 0.6608 | 0.6965 | 0.6608 | 0.8129 |
| No log | 19.4286 | 408 | 0.6399 | 0.7047 | 0.6399 | 0.7999 |
| No log | 19.5238 | 410 | 0.6539 | 0.7121 | 0.6539 | 0.8086 |
| No log | 19.6190 | 412 | 0.7612 | 0.6782 | 0.7612 | 0.8724 |
| No log | 19.7143 | 414 | 0.8422 | 0.6542 | 0.8422 | 0.9177 |
| No log | 19.8095 | 416 | 0.8343 | 0.6454 | 0.8343 | 0.9134 |
| No log | 19.9048 | 418 | 0.7521 | 0.6964 | 0.7521 | 0.8672 |
| No log | 20.0 | 420 | 0.7340 | 0.6975 | 0.7340 | 0.8567 |
| No log | 20.0952 | 422 | 0.7538 | 0.6870 | 0.7538 | 0.8682 |
| No log | 20.1905 | 424 | 0.7551 | 0.7053 | 0.7551 | 0.8689 |
| No log | 20.2857 | 426 | 0.7711 | 0.7086 | 0.7711 | 0.8781 |
| No log | 20.3810 | 428 | 0.7551 | 0.6990 | 0.7551 | 0.8690 |
| No log | 20.4762 | 430 | 0.7282 | 0.7322 | 0.7282 | 0.8533 |
| No log | 20.5714 | 432 | 0.7406 | 0.6847 | 0.7406 | 0.8606 |
| No log | 20.6667 | 434 | 0.7784 | 0.6745 | 0.7784 | 0.8823 |
| No log | 20.7619 | 436 | 0.7737 | 0.6693 | 0.7737 | 0.8796 |
| No log | 20.8571 | 438 | 0.7294 | 0.6815 | 0.7294 | 0.8540 |
| No log | 20.9524 | 440 | 0.6986 | 0.7049 | 0.6986 | 0.8358 |
| No log | 21.0476 | 442 | 0.6728 | 0.6813 | 0.6728 | 0.8202 |
| No log | 21.1429 | 444 | 0.6793 | 0.6987 | 0.6793 | 0.8242 |
| No log | 21.2381 | 446 | 0.6986 | 0.7537 | 0.6986 | 0.8358 |
| No log | 21.3333 | 448 | 0.7409 | 0.7064 | 0.7409 | 0.8608 |
| No log | 21.4286 | 450 | 0.7434 | 0.7221 | 0.7434 | 0.8622 |
| No log | 21.5238 | 452 | 0.7188 | 0.7233 | 0.7188 | 0.8478 |
| No log | 21.6190 | 454 | 0.6918 | 0.7190 | 0.6918 | 0.8317 |
| No log | 21.7143 | 456 | 0.6904 | 0.6778 | 0.6904 | 0.8309 |
| No log | 21.8095 | 458 | 0.6943 | 0.6962 | 0.6943 | 0.8332 |
| No log | 21.9048 | 460 | 0.7065 | 0.6798 | 0.7065 | 0.8406 |
| No log | 22.0 | 462 | 0.7490 | 0.7076 | 0.7490 | 0.8655 |
| No log | 22.0952 | 464 | 0.7863 | 0.6803 | 0.7863 | 0.8867 |
| No log | 22.1905 | 466 | 0.8044 | 0.6792 | 0.8044 | 0.8969 |
| No log | 22.2857 | 468 | 0.7795 | 0.6806 | 0.7795 | 0.8829 |
| No log | 22.3810 | 470 | 0.7605 | 0.6830 | 0.7605 | 0.8720 |
| No log | 22.4762 | 472 | 0.7679 | 0.6824 | 0.7679 | 0.8763 |
| No log | 22.5714 | 474 | 0.7950 | 0.7102 | 0.7950 | 0.8916 |
| No log | 22.6667 | 476 | 0.8536 | 0.6439 | 0.8536 | 0.9239 |
| No log | 22.7619 | 478 | 0.8551 | 0.6491 | 0.8551 | 0.9247 |
| No log | 22.8571 | 480 | 0.7671 | 0.6665 | 0.7671 | 0.8758 |
| No log | 22.9524 | 482 | 0.6859 | 0.6642 | 0.6859 | 0.8282 |
| No log | 23.0476 | 484 | 0.6636 | 0.6588 | 0.6636 | 0.8146 |
| No log | 23.1429 | 486 | 0.6650 | 0.6693 | 0.6650 | 0.8155 |
| No log | 23.2381 | 488 | 0.7066 | 0.6989 | 0.7066 | 0.8406 |
| No log | 23.3333 | 490 | 0.8044 | 0.6648 | 0.8044 | 0.8969 |
| No log | 23.4286 | 492 | 0.9309 | 0.6399 | 0.9309 | 0.9648 |
| No log | 23.5238 | 494 | 0.9085 | 0.6329 | 0.9085 | 0.9532 |
| No log | 23.6190 | 496 | 0.7899 | 0.7113 | 0.7899 | 0.8888 |
| No log | 23.7143 | 498 | 0.7225 | 0.7097 | 0.7225 | 0.8500 |
| 0.383 | 23.8095 | 500 | 0.7061 | 0.7307 | 0.7061 | 0.8403 |
| 0.383 | 23.9048 | 502 | 0.7147 | 0.7277 | 0.7147 | 0.8454 |
| 0.383 | 24.0 | 504 | 0.7425 | 0.6926 | 0.7425 | 0.8617 |
| 0.383 | 24.0952 | 506 | 0.8179 | 0.6667 | 0.8179 | 0.9044 |
| 0.383 | 24.1905 | 508 | 0.8761 | 0.5997 | 0.8761 | 0.9360 |
| 0.383 | 24.2857 | 510 | 0.9401 | 0.5849 | 0.9401 | 0.9696 |
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_k4_task1_organization
Base model
aubmindlab/bert-base-arabertv02