Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_task5_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: 0.8187
- Qwk: 0.3697
- Mse: 0.8187
- Rmse: 0.9048
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 | 0.0351 | 2 | 4.2185 | 0.0086 | 4.2185 | 2.0539 |
| No log | 0.0702 | 4 | 2.3141 | -0.0687 | 2.3141 | 1.5212 |
| No log | 0.1053 | 6 | 1.6291 | 0.0839 | 1.6291 | 1.2764 |
| No log | 0.1404 | 8 | 1.1627 | 0.2068 | 1.1627 | 1.0783 |
| No log | 0.1754 | 10 | 1.0621 | 0.1601 | 1.0621 | 1.0306 |
| No log | 0.2105 | 12 | 1.0572 | 0.0886 | 1.0572 | 1.0282 |
| No log | 0.2456 | 14 | 1.0396 | 0.1379 | 1.0396 | 1.0196 |
| No log | 0.2807 | 16 | 1.0379 | 0.1255 | 1.0379 | 1.0188 |
| No log | 0.3158 | 18 | 1.0151 | 0.1629 | 1.0151 | 1.0075 |
| No log | 0.3509 | 20 | 1.0818 | 0.1418 | 1.0818 | 1.0401 |
| No log | 0.3860 | 22 | 1.0591 | 0.1927 | 1.0591 | 1.0291 |
| No log | 0.4211 | 24 | 1.0837 | 0.1276 | 1.0837 | 1.0410 |
| No log | 0.4561 | 26 | 1.1559 | 0.1296 | 1.1559 | 1.0751 |
| No log | 0.4912 | 28 | 1.1140 | 0.1389 | 1.1140 | 1.0555 |
| No log | 0.5263 | 30 | 1.0243 | 0.1713 | 1.0243 | 1.0121 |
| No log | 0.5614 | 32 | 1.0512 | 0.1321 | 1.0512 | 1.0253 |
| No log | 0.5965 | 34 | 1.1148 | 0.1996 | 1.1148 | 1.0558 |
| No log | 0.6316 | 36 | 1.0397 | 0.1436 | 1.0397 | 1.0197 |
| No log | 0.6667 | 38 | 1.1115 | 0.1779 | 1.1115 | 1.0543 |
| No log | 0.7018 | 40 | 1.4029 | 0.0613 | 1.4029 | 1.1844 |
| No log | 0.7368 | 42 | 1.3882 | 0.0760 | 1.3882 | 1.1782 |
| No log | 0.7719 | 44 | 1.0888 | 0.2004 | 1.0888 | 1.0435 |
| No log | 0.8070 | 46 | 0.9621 | 0.3236 | 0.9621 | 0.9809 |
| No log | 0.8421 | 48 | 0.9698 | 0.2671 | 0.9698 | 0.9848 |
| No log | 0.8772 | 50 | 0.9560 | 0.3961 | 0.9560 | 0.9777 |
| No log | 0.9123 | 52 | 1.0639 | 0.1979 | 1.0639 | 1.0314 |
| No log | 0.9474 | 54 | 1.0452 | 0.2782 | 1.0452 | 1.0223 |
| No log | 0.9825 | 56 | 0.9744 | 0.3100 | 0.9744 | 0.9871 |
| No log | 1.0175 | 58 | 1.0377 | 0.2639 | 1.0377 | 1.0187 |
| No log | 1.0526 | 60 | 1.0334 | 0.3100 | 1.0334 | 1.0166 |
| No log | 1.0877 | 62 | 1.0848 | 0.3365 | 1.0848 | 1.0415 |
| No log | 1.1228 | 64 | 1.0760 | 0.1961 | 1.0760 | 1.0373 |
| No log | 1.1579 | 66 | 1.1576 | 0.1799 | 1.1576 | 1.0759 |
| No log | 1.1930 | 68 | 1.1822 | 0.1869 | 1.1822 | 1.0873 |
| No log | 1.2281 | 70 | 1.1228 | 0.1785 | 1.1228 | 1.0596 |
| No log | 1.2632 | 72 | 1.3383 | 0.2252 | 1.3383 | 1.1568 |
| No log | 1.2982 | 74 | 1.2819 | 0.2431 | 1.2819 | 1.1322 |
| No log | 1.3333 | 76 | 1.0126 | 0.2700 | 1.0126 | 1.0063 |
| No log | 1.3684 | 78 | 1.1871 | 0.2906 | 1.1871 | 1.0895 |
| No log | 1.4035 | 80 | 1.4352 | 0.3010 | 1.4352 | 1.1980 |
| No log | 1.4386 | 82 | 1.2480 | 0.3292 | 1.2480 | 1.1171 |
| No log | 1.4737 | 84 | 0.8753 | 0.5063 | 0.8753 | 0.9356 |
| No log | 1.5088 | 86 | 0.8233 | 0.4494 | 0.8233 | 0.9073 |
| No log | 1.5439 | 88 | 0.8331 | 0.3725 | 0.8331 | 0.9127 |
| No log | 1.5789 | 90 | 0.7817 | 0.5274 | 0.7817 | 0.8842 |
| No log | 1.6140 | 92 | 0.8342 | 0.5313 | 0.8342 | 0.9133 |
| No log | 1.6491 | 94 | 0.9033 | 0.4087 | 0.9033 | 0.9504 |
| No log | 1.6842 | 96 | 0.7880 | 0.5856 | 0.7880 | 0.8877 |
| No log | 1.7193 | 98 | 0.8999 | 0.3517 | 0.8999 | 0.9486 |
| No log | 1.7544 | 100 | 0.9925 | 0.2991 | 0.9925 | 0.9962 |
| No log | 1.7895 | 102 | 0.8721 | 0.3662 | 0.8721 | 0.9339 |
| No log | 1.8246 | 104 | 0.8428 | 0.4136 | 0.8428 | 0.9180 |
| No log | 1.8596 | 106 | 0.8722 | 0.3615 | 0.8722 | 0.9339 |
| No log | 1.8947 | 108 | 0.8984 | 0.3602 | 0.8984 | 0.9478 |
| No log | 1.9298 | 110 | 0.8259 | 0.4914 | 0.8259 | 0.9088 |
| No log | 1.9649 | 112 | 0.8304 | 0.4524 | 0.8304 | 0.9113 |
| No log | 2.0 | 114 | 0.8742 | 0.2857 | 0.8742 | 0.9350 |
| No log | 2.0351 | 116 | 0.9197 | 0.3390 | 0.9197 | 0.9590 |
| No log | 2.0702 | 118 | 0.8558 | 0.3840 | 0.8558 | 0.9251 |
| No log | 2.1053 | 120 | 0.9007 | 0.5424 | 0.9007 | 0.9491 |
| No log | 2.1404 | 122 | 1.0122 | 0.4565 | 1.0122 | 1.0061 |
| No log | 2.1754 | 124 | 0.9199 | 0.5222 | 0.9199 | 0.9591 |
| No log | 2.2105 | 126 | 0.8700 | 0.4449 | 0.8700 | 0.9327 |
| No log | 2.2456 | 128 | 0.8720 | 0.4444 | 0.8720 | 0.9338 |
| No log | 2.2807 | 130 | 0.8778 | 0.5224 | 0.8778 | 0.9369 |
| No log | 2.3158 | 132 | 0.9108 | 0.4703 | 0.9108 | 0.9544 |
| No log | 2.3509 | 134 | 0.9496 | 0.4803 | 0.9496 | 0.9745 |
| No log | 2.3860 | 136 | 0.9672 | 0.4558 | 0.9672 | 0.9834 |
| No log | 2.4211 | 138 | 0.9728 | 0.4404 | 0.9728 | 0.9863 |
| No log | 2.4561 | 140 | 0.9820 | 0.4010 | 0.9820 | 0.9910 |
| No log | 2.4912 | 142 | 0.9717 | 0.3609 | 0.9717 | 0.9857 |
| No log | 2.5263 | 144 | 0.9696 | 0.4439 | 0.9696 | 0.9847 |
| No log | 2.5614 | 146 | 0.9909 | 0.4719 | 0.9909 | 0.9954 |
| No log | 2.5965 | 148 | 0.9873 | 0.4938 | 0.9873 | 0.9936 |
| No log | 2.6316 | 150 | 0.9704 | 0.4145 | 0.9704 | 0.9851 |
| No log | 2.6667 | 152 | 0.9892 | 0.3182 | 0.9892 | 0.9946 |
| No log | 2.7018 | 154 | 0.9307 | 0.3563 | 0.9307 | 0.9647 |
| No log | 2.7368 | 156 | 0.9310 | 0.5093 | 0.9310 | 0.9649 |
| No log | 2.7719 | 158 | 0.9910 | 0.4208 | 0.9910 | 0.9955 |
| No log | 2.8070 | 160 | 0.9986 | 0.3308 | 0.9986 | 0.9993 |
| No log | 2.8421 | 162 | 0.9309 | 0.5339 | 0.9309 | 0.9648 |
| No log | 2.8772 | 164 | 0.8572 | 0.3996 | 0.8572 | 0.9259 |
| No log | 2.9123 | 166 | 0.9441 | 0.3333 | 0.9441 | 0.9716 |
| No log | 2.9474 | 168 | 0.9352 | 0.3601 | 0.9352 | 0.9670 |
| No log | 2.9825 | 170 | 0.8228 | 0.4449 | 0.8228 | 0.9071 |
| No log | 3.0175 | 172 | 1.0249 | 0.3683 | 1.0249 | 1.0124 |
| No log | 3.0526 | 174 | 1.0919 | 0.3413 | 1.0919 | 1.0449 |
| No log | 3.0877 | 176 | 0.8622 | 0.5815 | 0.8622 | 0.9286 |
| No log | 3.1228 | 178 | 0.8012 | 0.5042 | 0.8012 | 0.8951 |
| No log | 3.1579 | 180 | 0.8096 | 0.4752 | 0.8096 | 0.8998 |
| No log | 3.1930 | 182 | 0.8333 | 0.4647 | 0.8333 | 0.9128 |
| No log | 3.2281 | 184 | 0.8314 | 0.4879 | 0.8314 | 0.9118 |
| No log | 3.2632 | 186 | 0.7951 | 0.5388 | 0.7951 | 0.8917 |
| No log | 3.2982 | 188 | 0.7763 | 0.4936 | 0.7763 | 0.8811 |
| No log | 3.3333 | 190 | 0.7945 | 0.4836 | 0.7945 | 0.8914 |
| No log | 3.3684 | 192 | 0.9521 | 0.4115 | 0.9521 | 0.9758 |
| No log | 3.4035 | 194 | 0.9413 | 0.4091 | 0.9413 | 0.9702 |
| No log | 3.4386 | 196 | 0.8206 | 0.4487 | 0.8206 | 0.9058 |
| No log | 3.4737 | 198 | 0.8537 | 0.4221 | 0.8537 | 0.9240 |
| No log | 3.5088 | 200 | 0.8768 | 0.4763 | 0.8768 | 0.9364 |
| No log | 3.5439 | 202 | 0.8434 | 0.5366 | 0.8434 | 0.9184 |
| No log | 3.5789 | 204 | 0.8876 | 0.3584 | 0.8876 | 0.9421 |
| No log | 3.6140 | 206 | 0.8787 | 0.4066 | 0.8787 | 0.9374 |
| No log | 3.6491 | 208 | 0.8368 | 0.5406 | 0.8368 | 0.9147 |
| No log | 3.6842 | 210 | 0.9545 | 0.4835 | 0.9545 | 0.9770 |
| No log | 3.7193 | 212 | 0.9975 | 0.4220 | 0.9975 | 0.9987 |
| No log | 3.7544 | 214 | 0.8670 | 0.5435 | 0.8670 | 0.9311 |
| No log | 3.7895 | 216 | 0.8390 | 0.4148 | 0.8390 | 0.9160 |
| No log | 3.8246 | 218 | 0.9317 | 0.4238 | 0.9317 | 0.9652 |
| No log | 3.8596 | 220 | 0.9274 | 0.4356 | 0.9274 | 0.9630 |
| No log | 3.8947 | 222 | 0.8633 | 0.4647 | 0.8633 | 0.9291 |
| No log | 3.9298 | 224 | 0.9464 | 0.5017 | 0.9464 | 0.9728 |
| No log | 3.9649 | 226 | 1.0695 | 0.3590 | 1.0695 | 1.0342 |
| No log | 4.0 | 228 | 1.0304 | 0.4260 | 1.0304 | 1.0151 |
| No log | 4.0351 | 230 | 0.8870 | 0.4977 | 0.8870 | 0.9418 |
| No log | 4.0702 | 232 | 0.8469 | 0.4321 | 0.8469 | 0.9203 |
| No log | 4.1053 | 234 | 0.9800 | 0.3913 | 0.9800 | 0.9900 |
| No log | 4.1404 | 236 | 1.0546 | 0.3699 | 1.0546 | 1.0270 |
| No log | 4.1754 | 238 | 0.9830 | 0.4135 | 0.9830 | 0.9914 |
| No log | 4.2105 | 240 | 0.8894 | 0.4663 | 0.8894 | 0.9431 |
| No log | 4.2456 | 242 | 0.8818 | 0.5773 | 0.8818 | 0.9390 |
| No log | 4.2807 | 244 | 0.9266 | 0.4763 | 0.9266 | 0.9626 |
| No log | 4.3158 | 246 | 0.9243 | 0.4763 | 0.9243 | 0.9614 |
| No log | 4.3509 | 248 | 0.8772 | 0.4721 | 0.8772 | 0.9366 |
| No log | 4.3860 | 250 | 0.8668 | 0.4280 | 0.8668 | 0.9310 |
| No log | 4.4211 | 252 | 0.9483 | 0.3862 | 0.9483 | 0.9738 |
| No log | 4.4561 | 254 | 1.1237 | 0.3953 | 1.1237 | 1.0600 |
| No log | 4.4912 | 256 | 1.2262 | 0.3864 | 1.2262 | 1.1073 |
| No log | 4.5263 | 258 | 1.1343 | 0.4207 | 1.1343 | 1.0651 |
| No log | 4.5614 | 260 | 0.9708 | 0.4186 | 0.9708 | 0.9853 |
| No log | 4.5965 | 262 | 0.9084 | 0.4636 | 0.9084 | 0.9531 |
| No log | 4.6316 | 264 | 0.8922 | 0.4532 | 0.8922 | 0.9446 |
| No log | 4.6667 | 266 | 0.9042 | 0.4123 | 0.9042 | 0.9509 |
| No log | 4.7018 | 268 | 0.9192 | 0.3863 | 0.9192 | 0.9588 |
| No log | 4.7368 | 270 | 0.8497 | 0.4455 | 0.8497 | 0.9218 |
| No log | 4.7719 | 272 | 0.8043 | 0.4494 | 0.8043 | 0.8968 |
| No log | 4.8070 | 274 | 0.8115 | 0.4873 | 0.8115 | 0.9008 |
| No log | 4.8421 | 276 | 0.8050 | 0.4869 | 0.8050 | 0.8972 |
| No log | 4.8772 | 278 | 0.8552 | 0.4159 | 0.8552 | 0.9248 |
| No log | 4.9123 | 280 | 0.8687 | 0.4170 | 0.8687 | 0.9321 |
| No log | 4.9474 | 282 | 0.8714 | 0.4708 | 0.8714 | 0.9335 |
| No log | 4.9825 | 284 | 0.8720 | 0.4935 | 0.8720 | 0.9338 |
| No log | 5.0175 | 286 | 0.9046 | 0.4119 | 0.9046 | 0.9511 |
| No log | 5.0526 | 288 | 0.8992 | 0.4002 | 0.8992 | 0.9482 |
| No log | 5.0877 | 290 | 0.8388 | 0.4723 | 0.8388 | 0.9158 |
| No log | 5.1228 | 292 | 0.8217 | 0.3842 | 0.8217 | 0.9065 |
| No log | 5.1579 | 294 | 0.7832 | 0.4869 | 0.7832 | 0.8850 |
| No log | 5.1930 | 296 | 0.7519 | 0.5135 | 0.7519 | 0.8671 |
| No log | 5.2281 | 298 | 0.7459 | 0.5542 | 0.7459 | 0.8637 |
| No log | 5.2632 | 300 | 0.7756 | 0.4588 | 0.7756 | 0.8807 |
| No log | 5.2982 | 302 | 0.7960 | 0.4725 | 0.7960 | 0.8922 |
| No log | 5.3333 | 304 | 0.7479 | 0.5542 | 0.7479 | 0.8648 |
| No log | 5.3684 | 306 | 0.7452 | 0.5523 | 0.7452 | 0.8633 |
| No log | 5.4035 | 308 | 0.7723 | 0.5594 | 0.7723 | 0.8788 |
| No log | 5.4386 | 310 | 0.8009 | 0.5626 | 0.8009 | 0.8950 |
| No log | 5.4737 | 312 | 0.8153 | 0.4273 | 0.8153 | 0.9029 |
| No log | 5.5088 | 314 | 0.8487 | 0.4143 | 0.8487 | 0.9213 |
| No log | 5.5439 | 316 | 0.8146 | 0.4368 | 0.8146 | 0.9025 |
| No log | 5.5789 | 318 | 0.8195 | 0.4853 | 0.8195 | 0.9053 |
| No log | 5.6140 | 320 | 0.8411 | 0.4879 | 0.8411 | 0.9171 |
| No log | 5.6491 | 322 | 0.8090 | 0.4444 | 0.8090 | 0.8995 |
| No log | 5.6842 | 324 | 0.8887 | 0.4166 | 0.8887 | 0.9427 |
| No log | 5.7193 | 326 | 1.0493 | 0.4373 | 1.0493 | 1.0243 |
| No log | 5.7544 | 328 | 1.1310 | 0.4365 | 1.1310 | 1.0635 |
| No log | 5.7895 | 330 | 1.0108 | 0.4241 | 1.0108 | 1.0054 |
| No log | 5.8246 | 332 | 0.8309 | 0.3536 | 0.8309 | 0.9116 |
| No log | 5.8596 | 334 | 0.7907 | 0.3636 | 0.7907 | 0.8892 |
| No log | 5.8947 | 336 | 0.7950 | 0.4338 | 0.7950 | 0.8916 |
| No log | 5.9298 | 338 | 0.7642 | 0.4417 | 0.7642 | 0.8742 |
| No log | 5.9649 | 340 | 0.7581 | 0.5121 | 0.7581 | 0.8707 |
| No log | 6.0 | 342 | 0.7596 | 0.4742 | 0.7596 | 0.8716 |
| No log | 6.0351 | 344 | 0.8059 | 0.4476 | 0.8059 | 0.8977 |
| No log | 6.0702 | 346 | 0.8301 | 0.4139 | 0.8301 | 0.9111 |
| No log | 6.1053 | 348 | 0.7797 | 0.4630 | 0.7797 | 0.8830 |
| No log | 6.1404 | 350 | 0.7762 | 0.4630 | 0.7762 | 0.8810 |
| No log | 6.1754 | 352 | 0.8109 | 0.4143 | 0.8109 | 0.9005 |
| No log | 6.2105 | 354 | 0.8538 | 0.4916 | 0.8538 | 0.9240 |
| No log | 6.2456 | 356 | 0.8146 | 0.4444 | 0.8146 | 0.9025 |
| No log | 6.2807 | 358 | 0.7452 | 0.3556 | 0.7452 | 0.8632 |
| No log | 6.3158 | 360 | 0.7479 | 0.5214 | 0.7479 | 0.8648 |
| No log | 6.3509 | 362 | 0.7740 | 0.5342 | 0.7740 | 0.8798 |
| No log | 6.3860 | 364 | 0.7560 | 0.5770 | 0.7560 | 0.8695 |
| No log | 6.4211 | 366 | 0.7128 | 0.5759 | 0.7128 | 0.8443 |
| No log | 6.4561 | 368 | 0.7096 | 0.5274 | 0.7096 | 0.8424 |
| No log | 6.4912 | 370 | 0.7527 | 0.4127 | 0.7527 | 0.8676 |
| No log | 6.5263 | 372 | 0.7718 | 0.4102 | 0.7718 | 0.8785 |
| No log | 6.5614 | 374 | 0.7477 | 0.5113 | 0.7477 | 0.8647 |
| No log | 6.5965 | 376 | 0.7459 | 0.4411 | 0.7459 | 0.8637 |
| No log | 6.6316 | 378 | 0.7568 | 0.5428 | 0.7568 | 0.8700 |
| No log | 6.6667 | 380 | 0.7536 | 0.5635 | 0.7536 | 0.8681 |
| No log | 6.7018 | 382 | 0.7517 | 0.5597 | 0.7517 | 0.8670 |
| No log | 6.7368 | 384 | 0.7627 | 0.4632 | 0.7627 | 0.8733 |
| No log | 6.7719 | 386 | 0.7783 | 0.4275 | 0.7783 | 0.8822 |
| No log | 6.8070 | 388 | 0.8321 | 0.3862 | 0.8321 | 0.9122 |
| No log | 6.8421 | 390 | 0.8429 | 0.3735 | 0.8429 | 0.9181 |
| No log | 6.8772 | 392 | 0.7999 | 0.4335 | 0.7999 | 0.8943 |
| No log | 6.9123 | 394 | 0.7765 | 0.5107 | 0.7765 | 0.8812 |
| No log | 6.9474 | 396 | 0.7745 | 0.5098 | 0.7745 | 0.8800 |
| No log | 6.9825 | 398 | 0.7715 | 0.5098 | 0.7715 | 0.8784 |
| No log | 7.0175 | 400 | 0.7550 | 0.5597 | 0.7550 | 0.8689 |
| No log | 7.0526 | 402 | 0.7611 | 0.5210 | 0.7611 | 0.8724 |
| No log | 7.0877 | 404 | 0.8364 | 0.4606 | 0.8364 | 0.9145 |
| No log | 7.1228 | 406 | 0.9375 | 0.3830 | 0.9375 | 0.9682 |
| No log | 7.1579 | 408 | 0.9632 | 0.4247 | 0.9632 | 0.9814 |
| No log | 7.1930 | 410 | 0.8654 | 0.3735 | 0.8654 | 0.9303 |
| No log | 7.2281 | 412 | 0.7889 | 0.4865 | 0.7889 | 0.8882 |
| No log | 7.2632 | 414 | 0.7789 | 0.5399 | 0.7789 | 0.8826 |
| No log | 7.2982 | 416 | 0.8055 | 0.5841 | 0.8055 | 0.8975 |
| No log | 7.3333 | 418 | 0.8124 | 0.6022 | 0.8124 | 0.9013 |
| No log | 7.3684 | 420 | 0.8050 | 0.5682 | 0.8050 | 0.8972 |
| No log | 7.4035 | 422 | 0.7923 | 0.5575 | 0.7923 | 0.8901 |
| No log | 7.4386 | 424 | 0.7791 | 0.5575 | 0.7791 | 0.8827 |
| No log | 7.4737 | 426 | 0.7774 | 0.4988 | 0.7774 | 0.8817 |
| No log | 7.5088 | 428 | 0.8211 | 0.4020 | 0.8211 | 0.9062 |
| No log | 7.5439 | 430 | 0.8286 | 0.3989 | 0.8286 | 0.9103 |
| No log | 7.5789 | 432 | 0.7795 | 0.4973 | 0.7795 | 0.8829 |
| No log | 7.6140 | 434 | 0.7591 | 0.4973 | 0.7591 | 0.8712 |
| No log | 7.6491 | 436 | 0.7417 | 0.5002 | 0.7417 | 0.8612 |
| No log | 7.6842 | 438 | 0.7348 | 0.5498 | 0.7348 | 0.8572 |
| No log | 7.7193 | 440 | 0.7624 | 0.5107 | 0.7624 | 0.8731 |
| No log | 7.7544 | 442 | 0.8002 | 0.4633 | 0.8002 | 0.8946 |
| No log | 7.7895 | 444 | 0.7825 | 0.5237 | 0.7825 | 0.8846 |
| No log | 7.8246 | 446 | 0.7736 | 0.5142 | 0.7736 | 0.8795 |
| No log | 7.8596 | 448 | 0.7591 | 0.4676 | 0.7591 | 0.8712 |
| No log | 7.8947 | 450 | 0.7699 | 0.4520 | 0.7699 | 0.8775 |
| No log | 7.9298 | 452 | 0.7815 | 0.4520 | 0.7815 | 0.8840 |
| No log | 7.9649 | 454 | 0.7667 | 0.4520 | 0.7667 | 0.8756 |
| No log | 8.0 | 456 | 0.7477 | 0.4810 | 0.7477 | 0.8647 |
| No log | 8.0351 | 458 | 0.7531 | 0.5441 | 0.7531 | 0.8678 |
| No log | 8.0702 | 460 | 0.7601 | 0.5214 | 0.7601 | 0.8718 |
| No log | 8.1053 | 462 | 0.7523 | 0.4660 | 0.7523 | 0.8673 |
| No log | 8.1404 | 464 | 0.7613 | 0.5127 | 0.7613 | 0.8725 |
| No log | 8.1754 | 466 | 0.7580 | 0.4211 | 0.7580 | 0.8706 |
| No log | 8.2105 | 468 | 0.7462 | 0.4498 | 0.7462 | 0.8638 |
| No log | 8.2456 | 470 | 0.7386 | 0.4516 | 0.7386 | 0.8594 |
| No log | 8.2807 | 472 | 0.7311 | 0.4554 | 0.7311 | 0.8550 |
| No log | 8.3158 | 474 | 0.7241 | 0.4918 | 0.7241 | 0.8509 |
| No log | 8.3509 | 476 | 0.7255 | 0.5288 | 0.7255 | 0.8518 |
| No log | 8.3860 | 478 | 0.7558 | 0.5477 | 0.7558 | 0.8694 |
| No log | 8.4211 | 480 | 0.8785 | 0.4244 | 0.8785 | 0.9373 |
| No log | 8.4561 | 482 | 0.8655 | 0.4484 | 0.8655 | 0.9303 |
| No log | 8.4912 | 484 | 0.7904 | 0.4743 | 0.7904 | 0.8891 |
| No log | 8.5263 | 486 | 0.7805 | 0.4944 | 0.7805 | 0.8834 |
| No log | 8.5614 | 488 | 0.7972 | 0.4571 | 0.7972 | 0.8928 |
| No log | 8.5965 | 490 | 0.7917 | 0.4675 | 0.7917 | 0.8898 |
| No log | 8.6316 | 492 | 0.8116 | 0.4629 | 0.8116 | 0.9009 |
| No log | 8.6667 | 494 | 0.8215 | 0.4613 | 0.8215 | 0.9063 |
| No log | 8.7018 | 496 | 0.8032 | 0.4759 | 0.8032 | 0.8962 |
| No log | 8.7368 | 498 | 0.8001 | 0.4813 | 0.8001 | 0.8945 |
| 0.2958 | 8.7719 | 500 | 0.7997 | 0.4138 | 0.7997 | 0.8943 |
| 0.2958 | 8.8070 | 502 | 0.8236 | 0.4597 | 0.8236 | 0.9075 |
| 0.2958 | 8.8421 | 504 | 0.8988 | 0.4484 | 0.8988 | 0.9480 |
| 0.2958 | 8.8772 | 506 | 0.9714 | 0.4334 | 0.9714 | 0.9856 |
| 0.2958 | 8.9123 | 508 | 0.9227 | 0.4334 | 0.9227 | 0.9606 |
| 0.2958 | 8.9474 | 510 | 0.8331 | 0.3706 | 0.8331 | 0.9127 |
| 0.2958 | 8.9825 | 512 | 0.7937 | 0.3737 | 0.7937 | 0.8909 |
| 0.2958 | 9.0175 | 514 | 0.7962 | 0.4405 | 0.7962 | 0.8923 |
| 0.2958 | 9.0526 | 516 | 0.8073 | 0.4646 | 0.8073 | 0.8985 |
| 0.2958 | 9.0877 | 518 | 0.8306 | 0.4522 | 0.8306 | 0.9114 |
| 0.2958 | 9.1228 | 520 | 0.8719 | 0.4736 | 0.8719 | 0.9337 |
| 0.2958 | 9.1579 | 522 | 0.9151 | 0.4496 | 0.9151 | 0.9566 |
| 0.2958 | 9.1930 | 524 | 0.9895 | 0.4356 | 0.9895 | 0.9947 |
| 0.2958 | 9.2281 | 526 | 0.9495 | 0.4575 | 0.9495 | 0.9744 |
| 0.2958 | 9.2632 | 528 | 0.8778 | 0.3844 | 0.8778 | 0.9369 |
| 0.2958 | 9.2982 | 530 | 0.7960 | 0.3403 | 0.7960 | 0.8922 |
| 0.2958 | 9.3333 | 532 | 0.7731 | 0.4 | 0.7731 | 0.8793 |
| 0.2958 | 9.3684 | 534 | 0.7732 | 0.4256 | 0.7732 | 0.8793 |
| 0.2958 | 9.4035 | 536 | 0.7726 | 0.4090 | 0.7726 | 0.8790 |
| 0.2958 | 9.4386 | 538 | 0.7747 | 0.4090 | 0.7747 | 0.8802 |
| 0.2958 | 9.4737 | 540 | 0.7894 | 0.3859 | 0.7894 | 0.8885 |
| 0.2958 | 9.5088 | 542 | 0.7931 | 0.4499 | 0.7931 | 0.8905 |
| 0.2958 | 9.5439 | 544 | 0.7689 | 0.4893 | 0.7689 | 0.8769 |
| 0.2958 | 9.5789 | 546 | 0.7567 | 0.5288 | 0.7567 | 0.8699 |
| 0.2958 | 9.6140 | 548 | 0.7500 | 0.5302 | 0.7500 | 0.8660 |
| 0.2958 | 9.6491 | 550 | 0.7441 | 0.5302 | 0.7441 | 0.8626 |
| 0.2958 | 9.6842 | 552 | 0.7622 | 0.5214 | 0.7622 | 0.8730 |
| 0.2958 | 9.7193 | 554 | 0.7641 | 0.4724 | 0.7641 | 0.8741 |
| 0.2958 | 9.7544 | 556 | 0.7394 | 0.5516 | 0.7394 | 0.8599 |
| 0.2958 | 9.7895 | 558 | 0.7955 | 0.5195 | 0.7955 | 0.8919 |
| 0.2958 | 9.8246 | 560 | 0.8432 | 0.4444 | 0.8432 | 0.9182 |
| 0.2958 | 9.8596 | 562 | 0.8139 | 0.3551 | 0.8139 | 0.9022 |
| 0.2958 | 9.8947 | 564 | 0.7430 | 0.4748 | 0.7430 | 0.8620 |
| 0.2958 | 9.9298 | 566 | 0.7618 | 0.4588 | 0.7618 | 0.8728 |
| 0.2958 | 9.9649 | 568 | 0.8140 | 0.4484 | 0.8140 | 0.9022 |
| 0.2958 | 10.0 | 570 | 0.8170 | 0.5005 | 0.8170 | 0.9039 |
| 0.2958 | 10.0351 | 572 | 0.7902 | 0.5530 | 0.7902 | 0.8889 |
| 0.2958 | 10.0702 | 574 | 0.7697 | 0.5002 | 0.7697 | 0.8773 |
| 0.2958 | 10.1053 | 576 | 0.8322 | 0.4735 | 0.8322 | 0.9123 |
| 0.2958 | 10.1404 | 578 | 0.9392 | 0.4787 | 0.9392 | 0.9691 |
| 0.2958 | 10.1754 | 580 | 0.9821 | 0.3503 | 0.9821 | 0.9910 |
| 0.2958 | 10.2105 | 582 | 0.9051 | 0.3169 | 0.9051 | 0.9514 |
| 0.2958 | 10.2456 | 584 | 0.8034 | 0.3941 | 0.8034 | 0.8963 |
| 0.2958 | 10.2807 | 586 | 0.7467 | 0.4869 | 0.7467 | 0.8641 |
| 0.2958 | 10.3158 | 588 | 0.7406 | 0.4982 | 0.7406 | 0.8606 |
| 0.2958 | 10.3509 | 590 | 0.7497 | 0.4975 | 0.7497 | 0.8659 |
| 0.2958 | 10.3860 | 592 | 0.7678 | 0.4306 | 0.7678 | 0.8763 |
| 0.2958 | 10.4211 | 594 | 0.8056 | 0.4412 | 0.8056 | 0.8975 |
| 0.2958 | 10.4561 | 596 | 0.7966 | 0.4471 | 0.7966 | 0.8925 |
| 0.2958 | 10.4912 | 598 | 0.7801 | 0.4204 | 0.7801 | 0.8832 |
| 0.2958 | 10.5263 | 600 | 0.7696 | 0.3922 | 0.7696 | 0.8773 |
| 0.2958 | 10.5614 | 602 | 0.7695 | 0.3922 | 0.7695 | 0.8772 |
| 0.2958 | 10.5965 | 604 | 0.7759 | 0.4234 | 0.7759 | 0.8808 |
| 0.2958 | 10.6316 | 606 | 0.7762 | 0.4234 | 0.7762 | 0.8810 |
| 0.2958 | 10.6667 | 608 | 0.7765 | 0.3838 | 0.7765 | 0.8812 |
| 0.2958 | 10.7018 | 610 | 0.7913 | 0.3838 | 0.7913 | 0.8896 |
| 0.2958 | 10.7368 | 612 | 0.7956 | 0.3838 | 0.7956 | 0.8920 |
| 0.2958 | 10.7719 | 614 | 0.8005 | 0.3838 | 0.8005 | 0.8947 |
| 0.2958 | 10.8070 | 616 | 0.8187 | 0.3697 | 0.8187 | 0.9048 |
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_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_task5_organization
Base model
aubmindlab/bert-base-arabertv02