Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_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: 0.7961
- Qwk: 0.6818
- Mse: 0.7961
- Rmse: 0.8922
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 | 0.0211 | 2 | 6.8504 | 0.0057 | 6.8504 | 2.6173 |
| No log | 0.0421 | 4 | 4.3020 | 0.1013 | 4.3020 | 2.0741 |
| No log | 0.0632 | 6 | 3.1983 | 0.0595 | 3.1983 | 1.7884 |
| No log | 0.0842 | 8 | 3.2093 | -0.0123 | 3.2093 | 1.7914 |
| No log | 0.1053 | 10 | 2.4669 | 0.1127 | 2.4669 | 1.5706 |
| No log | 0.1263 | 12 | 1.9527 | 0.1186 | 1.9527 | 1.3974 |
| No log | 0.1474 | 14 | 1.7912 | 0.1835 | 1.7912 | 1.3384 |
| No log | 0.1684 | 16 | 1.6230 | 0.1887 | 1.6230 | 1.2740 |
| No log | 0.1895 | 18 | 2.0111 | 0.1429 | 2.0111 | 1.4181 |
| No log | 0.2105 | 20 | 3.4448 | 0.0457 | 3.4448 | 1.8560 |
| No log | 0.2316 | 22 | 3.0088 | 0.0886 | 3.0088 | 1.7346 |
| No log | 0.2526 | 24 | 2.0506 | 0.2090 | 2.0506 | 1.4320 |
| No log | 0.2737 | 26 | 1.8195 | 0.2835 | 1.8195 | 1.3489 |
| No log | 0.2947 | 28 | 1.8482 | 0.2326 | 1.8482 | 1.3595 |
| No log | 0.3158 | 30 | 1.6146 | 0.3140 | 1.6146 | 1.2707 |
| No log | 0.3368 | 32 | 1.5819 | 0.2759 | 1.5819 | 1.2577 |
| No log | 0.3579 | 34 | 1.7981 | 0.2764 | 1.7981 | 1.3409 |
| No log | 0.3789 | 36 | 1.9998 | 0.2815 | 1.9998 | 1.4141 |
| No log | 0.4 | 38 | 2.2494 | 0.1259 | 2.2494 | 1.4998 |
| No log | 0.4211 | 40 | 2.2124 | 0.1549 | 2.2124 | 1.4874 |
| No log | 0.4421 | 42 | 1.8472 | 0.2836 | 1.8472 | 1.3591 |
| No log | 0.4632 | 44 | 1.6279 | 0.3492 | 1.6279 | 1.2759 |
| No log | 0.4842 | 46 | 1.6151 | 0.3651 | 1.6151 | 1.2709 |
| No log | 0.5053 | 48 | 1.8692 | 0.3259 | 1.8692 | 1.3672 |
| No log | 0.5263 | 50 | 2.2668 | 0.2471 | 2.2668 | 1.5056 |
| No log | 0.5474 | 52 | 2.6563 | 0.2703 | 2.6563 | 1.6298 |
| No log | 0.5684 | 54 | 2.4768 | 0.2703 | 2.4768 | 1.5738 |
| No log | 0.5895 | 56 | 1.6940 | 0.3852 | 1.6940 | 1.3016 |
| No log | 0.6105 | 58 | 1.4633 | 0.3740 | 1.4633 | 1.2097 |
| No log | 0.6316 | 60 | 1.3751 | 0.3833 | 1.3751 | 1.1726 |
| No log | 0.6526 | 62 | 1.3496 | 0.3833 | 1.3496 | 1.1617 |
| No log | 0.6737 | 64 | 1.4845 | 0.4681 | 1.4845 | 1.2184 |
| No log | 0.6947 | 66 | 2.1745 | 0.2989 | 2.1745 | 1.4746 |
| No log | 0.7158 | 68 | 3.1633 | 0.2698 | 3.1633 | 1.7786 |
| No log | 0.7368 | 70 | 3.6792 | 0.2447 | 3.6792 | 1.9181 |
| No log | 0.7579 | 72 | 3.1245 | 0.2500 | 3.1245 | 1.7676 |
| No log | 0.7789 | 74 | 2.1807 | 0.3237 | 2.1807 | 1.4767 |
| No log | 0.8 | 76 | 1.7390 | 0.3758 | 1.7390 | 1.3187 |
| No log | 0.8211 | 78 | 1.8492 | 0.3226 | 1.8492 | 1.3599 |
| No log | 0.8421 | 80 | 2.3757 | 0.2289 | 2.3757 | 1.5413 |
| No log | 0.8632 | 82 | 2.5521 | 0.2036 | 2.5521 | 1.5975 |
| No log | 0.8842 | 84 | 2.2795 | 0.2532 | 2.2795 | 1.5098 |
| No log | 0.9053 | 86 | 1.8905 | 0.2639 | 1.8905 | 1.3750 |
| No log | 0.9263 | 88 | 1.6165 | 0.3231 | 1.6165 | 1.2714 |
| No log | 0.9474 | 90 | 1.4229 | 0.4160 | 1.4229 | 1.1928 |
| No log | 0.9684 | 92 | 1.3923 | 0.4098 | 1.3923 | 1.1799 |
| No log | 0.9895 | 94 | 1.4472 | 0.4409 | 1.4472 | 1.2030 |
| No log | 1.0105 | 96 | 1.5892 | 0.4 | 1.5892 | 1.2606 |
| No log | 1.0316 | 98 | 1.8670 | 0.3671 | 1.8670 | 1.3664 |
| No log | 1.0526 | 100 | 1.9086 | 0.3855 | 1.9086 | 1.3815 |
| No log | 1.0737 | 102 | 2.1209 | 0.3429 | 2.1209 | 1.4563 |
| No log | 1.0947 | 104 | 1.8717 | 0.3190 | 1.8717 | 1.3681 |
| No log | 1.1158 | 106 | 1.4264 | 0.4490 | 1.4264 | 1.1943 |
| No log | 1.1368 | 108 | 1.3998 | 0.4901 | 1.3998 | 1.1831 |
| No log | 1.1579 | 110 | 1.5054 | 0.5153 | 1.5054 | 1.2269 |
| No log | 1.1789 | 112 | 1.8318 | 0.4804 | 1.8318 | 1.3534 |
| No log | 1.2 | 114 | 2.1331 | 0.5 | 2.1331 | 1.4605 |
| No log | 1.2211 | 116 | 1.8738 | 0.4590 | 1.8738 | 1.3689 |
| No log | 1.2421 | 118 | 1.1835 | 0.5875 | 1.1835 | 1.0879 |
| No log | 1.2632 | 120 | 0.9134 | 0.5821 | 0.9134 | 0.9557 |
| No log | 1.2842 | 122 | 0.9942 | 0.5538 | 0.9942 | 0.9971 |
| No log | 1.3053 | 124 | 1.0280 | 0.5926 | 1.0280 | 1.0139 |
| No log | 1.3263 | 126 | 1.1559 | 0.5915 | 1.1559 | 1.0751 |
| No log | 1.3474 | 128 | 1.3305 | 0.5478 | 1.3305 | 1.1535 |
| No log | 1.3684 | 130 | 1.5756 | 0.5238 | 1.5756 | 1.2552 |
| No log | 1.3895 | 132 | 1.5055 | 0.5238 | 1.5055 | 1.2270 |
| No log | 1.4105 | 134 | 1.3921 | 0.5422 | 1.3921 | 1.1799 |
| No log | 1.4316 | 136 | 1.6004 | 0.5114 | 1.6004 | 1.2651 |
| No log | 1.4526 | 138 | 1.3401 | 0.5644 | 1.3401 | 1.1576 |
| No log | 1.4737 | 140 | 1.1392 | 0.6026 | 1.1392 | 1.0673 |
| No log | 1.4947 | 142 | 1.2627 | 0.6012 | 1.2627 | 1.1237 |
| No log | 1.5158 | 144 | 1.1321 | 0.6395 | 1.1321 | 1.0640 |
| No log | 1.5368 | 146 | 0.9081 | 0.6460 | 0.9081 | 0.9530 |
| No log | 1.5579 | 148 | 0.8352 | 0.6714 | 0.8352 | 0.9139 |
| No log | 1.5789 | 150 | 0.9666 | 0.6212 | 0.9666 | 0.9832 |
| No log | 1.6 | 152 | 0.9172 | 0.6617 | 0.9172 | 0.9577 |
| No log | 1.6211 | 154 | 0.8086 | 0.6912 | 0.8086 | 0.8992 |
| No log | 1.6421 | 156 | 0.9342 | 0.6573 | 0.9342 | 0.9665 |
| No log | 1.6632 | 158 | 1.1763 | 0.56 | 1.1763 | 1.0846 |
| No log | 1.6842 | 160 | 1.1654 | 0.5342 | 1.1654 | 1.0796 |
| No log | 1.7053 | 162 | 1.0576 | 0.5634 | 1.0576 | 1.0284 |
| No log | 1.7263 | 164 | 0.8779 | 0.6620 | 0.8779 | 0.9370 |
| No log | 1.7474 | 166 | 0.7889 | 0.6857 | 0.7889 | 0.8882 |
| No log | 1.7684 | 168 | 0.9506 | 0.6043 | 0.9506 | 0.9750 |
| No log | 1.7895 | 170 | 0.9501 | 0.5839 | 0.9501 | 0.9747 |
| No log | 1.8105 | 172 | 0.8106 | 0.6763 | 0.8106 | 0.9003 |
| No log | 1.8316 | 174 | 0.8397 | 0.6944 | 0.8397 | 0.9164 |
| No log | 1.8526 | 176 | 0.9478 | 0.6131 | 0.9478 | 0.9736 |
| No log | 1.8737 | 178 | 1.0362 | 0.6536 | 1.0362 | 1.0179 |
| No log | 1.8947 | 180 | 1.1277 | 0.5802 | 1.1277 | 1.0620 |
| No log | 1.9158 | 182 | 1.1585 | 0.6125 | 1.1585 | 1.0763 |
| No log | 1.9368 | 184 | 1.2036 | 0.6258 | 1.2036 | 1.0971 |
| No log | 1.9579 | 186 | 1.1390 | 0.6194 | 1.1390 | 1.0673 |
| No log | 1.9789 | 188 | 1.0678 | 0.5772 | 1.0678 | 1.0333 |
| No log | 2.0 | 190 | 0.9924 | 0.5816 | 0.9924 | 0.9962 |
| No log | 2.0211 | 192 | 0.9704 | 0.6 | 0.9704 | 0.9851 |
| No log | 2.0421 | 194 | 0.9484 | 0.6197 | 0.9484 | 0.9739 |
| No log | 2.0632 | 196 | 0.8977 | 0.5821 | 0.8977 | 0.9475 |
| No log | 2.0842 | 198 | 0.8697 | 0.6212 | 0.8697 | 0.9326 |
| No log | 2.1053 | 200 | 0.8624 | 0.6061 | 0.8624 | 0.9287 |
| No log | 2.1263 | 202 | 0.9798 | 0.6056 | 0.9798 | 0.9899 |
| No log | 2.1474 | 204 | 0.9729 | 0.6027 | 0.9729 | 0.9864 |
| No log | 2.1684 | 206 | 0.8787 | 0.6434 | 0.8787 | 0.9374 |
| No log | 2.1895 | 208 | 0.9123 | 0.6490 | 0.9123 | 0.9551 |
| No log | 2.2105 | 210 | 0.9749 | 0.6405 | 0.9749 | 0.9874 |
| No log | 2.2316 | 212 | 0.9444 | 0.6667 | 0.9444 | 0.9718 |
| No log | 2.2526 | 214 | 0.8404 | 0.6713 | 0.8404 | 0.9167 |
| No log | 2.2737 | 216 | 0.8293 | 0.6222 | 0.8293 | 0.9106 |
| No log | 2.2947 | 218 | 0.9104 | 0.6618 | 0.9104 | 0.9542 |
| No log | 2.3158 | 220 | 0.8839 | 0.6471 | 0.8839 | 0.9402 |
| No log | 2.3368 | 222 | 0.8332 | 0.6471 | 0.8332 | 0.9128 |
| No log | 2.3579 | 224 | 0.8722 | 0.6887 | 0.8722 | 0.9339 |
| No log | 2.3789 | 226 | 1.0401 | 0.6506 | 1.0401 | 1.0199 |
| No log | 2.4 | 228 | 1.1170 | 0.6630 | 1.1170 | 1.0569 |
| No log | 2.4211 | 230 | 0.9318 | 0.7033 | 0.9318 | 0.9653 |
| No log | 2.4421 | 232 | 0.7014 | 0.7784 | 0.7014 | 0.8375 |
| No log | 2.4632 | 234 | 0.7455 | 0.6933 | 0.7455 | 0.8634 |
| No log | 2.4842 | 236 | 0.8324 | 0.6667 | 0.8324 | 0.9123 |
| No log | 2.5053 | 238 | 0.8664 | 0.6667 | 0.8664 | 0.9308 |
| No log | 2.5263 | 240 | 0.8522 | 0.6714 | 0.8522 | 0.9232 |
| No log | 2.5474 | 242 | 0.8353 | 0.6809 | 0.8353 | 0.9140 |
| No log | 2.5684 | 244 | 0.7668 | 0.7083 | 0.7668 | 0.8757 |
| No log | 2.5895 | 246 | 0.7420 | 0.7273 | 0.7420 | 0.8614 |
| No log | 2.6105 | 248 | 0.7963 | 0.6846 | 0.7963 | 0.8923 |
| No log | 2.6316 | 250 | 0.8565 | 0.6486 | 0.8565 | 0.9255 |
| No log | 2.6526 | 252 | 0.9000 | 0.6486 | 0.9000 | 0.9487 |
| No log | 2.6737 | 254 | 1.0293 | 0.6174 | 1.0293 | 1.0145 |
| No log | 2.6947 | 256 | 1.2673 | 0.5806 | 1.2673 | 1.1258 |
| No log | 2.7158 | 258 | 1.2904 | 0.5789 | 1.2904 | 1.1359 |
| No log | 2.7368 | 260 | 1.1136 | 0.6164 | 1.1136 | 1.0553 |
| No log | 2.7579 | 262 | 0.9526 | 0.6624 | 0.9526 | 0.9760 |
| No log | 2.7789 | 264 | 0.8602 | 0.6795 | 0.8602 | 0.9275 |
| No log | 2.8 | 266 | 0.8629 | 0.6531 | 0.8629 | 0.9289 |
| No log | 2.8211 | 268 | 0.8372 | 0.6667 | 0.8372 | 0.9150 |
| No log | 2.8421 | 270 | 0.8882 | 0.6667 | 0.8882 | 0.9424 |
| No log | 2.8632 | 272 | 1.0101 | 0.6538 | 1.0101 | 1.0050 |
| No log | 2.8842 | 274 | 1.1403 | 0.6026 | 1.1403 | 1.0678 |
| No log | 2.9053 | 276 | 1.1245 | 0.6065 | 1.1245 | 1.0604 |
| No log | 2.9263 | 278 | 1.0359 | 0.6316 | 1.0359 | 1.0178 |
| No log | 2.9474 | 280 | 0.9766 | 0.6928 | 0.9766 | 0.9882 |
| No log | 2.9684 | 282 | 1.1326 | 0.6234 | 1.1326 | 1.0642 |
| No log | 2.9895 | 284 | 1.0613 | 0.6447 | 1.0613 | 1.0302 |
| No log | 3.0105 | 286 | 1.0118 | 0.6842 | 1.0118 | 1.0059 |
| No log | 3.0316 | 288 | 0.8432 | 0.6438 | 0.8432 | 0.9183 |
| No log | 3.0526 | 290 | 0.7967 | 0.6569 | 0.7967 | 0.8926 |
| No log | 3.0737 | 292 | 0.7722 | 0.6901 | 0.7722 | 0.8788 |
| No log | 3.0947 | 294 | 0.7533 | 0.7234 | 0.7533 | 0.8679 |
| No log | 3.1158 | 296 | 0.7584 | 0.7 | 0.7584 | 0.8709 |
| No log | 3.1368 | 298 | 0.7900 | 0.6803 | 0.7900 | 0.8888 |
| No log | 3.1579 | 300 | 0.8937 | 0.6623 | 0.8937 | 0.9453 |
| No log | 3.1789 | 302 | 1.0313 | 0.6790 | 1.0313 | 1.0156 |
| No log | 3.2 | 304 | 0.9498 | 0.6225 | 0.9498 | 0.9746 |
| No log | 3.2211 | 306 | 0.8121 | 0.6617 | 0.8121 | 0.9012 |
| No log | 3.2421 | 308 | 0.8388 | 0.6667 | 0.8388 | 0.9159 |
| No log | 3.2632 | 310 | 0.8656 | 0.6565 | 0.8656 | 0.9304 |
| No log | 3.2842 | 312 | 0.8359 | 0.6466 | 0.8359 | 0.9143 |
| No log | 3.3053 | 314 | 0.8062 | 0.6812 | 0.8062 | 0.8979 |
| No log | 3.3263 | 316 | 0.7835 | 0.7 | 0.7835 | 0.8851 |
| No log | 3.3474 | 318 | 0.7721 | 0.6861 | 0.7721 | 0.8787 |
| No log | 3.3684 | 320 | 0.7814 | 0.6241 | 0.7814 | 0.8840 |
| No log | 3.3895 | 322 | 0.7979 | 0.6324 | 0.7979 | 0.8932 |
| No log | 3.4105 | 324 | 0.7839 | 0.6853 | 0.7839 | 0.8854 |
| No log | 3.4316 | 326 | 0.8039 | 0.6809 | 0.8039 | 0.8966 |
| No log | 3.4526 | 328 | 0.8132 | 0.7 | 0.8132 | 0.9018 |
| No log | 3.4737 | 330 | 0.8134 | 0.6519 | 0.8134 | 0.9019 |
| No log | 3.4947 | 332 | 0.8033 | 0.6519 | 0.8033 | 0.8963 |
| No log | 3.5158 | 334 | 0.7940 | 0.6567 | 0.7940 | 0.8911 |
| No log | 3.5368 | 336 | 0.7691 | 0.6569 | 0.7691 | 0.8770 |
| No log | 3.5579 | 338 | 0.7460 | 0.6619 | 0.7460 | 0.8637 |
| No log | 3.5789 | 340 | 0.7617 | 0.7417 | 0.7617 | 0.8728 |
| No log | 3.6 | 342 | 0.8370 | 0.7317 | 0.8370 | 0.9149 |
| No log | 3.6211 | 344 | 0.8649 | 0.6707 | 0.8649 | 0.9300 |
| No log | 3.6421 | 346 | 0.7531 | 0.7607 | 0.7531 | 0.8678 |
| No log | 3.6632 | 348 | 0.6513 | 0.7771 | 0.6513 | 0.8070 |
| No log | 3.6842 | 350 | 0.6656 | 0.7248 | 0.6656 | 0.8158 |
| No log | 3.7053 | 352 | 0.6907 | 0.7162 | 0.6907 | 0.8311 |
| No log | 3.7263 | 354 | 0.6977 | 0.6944 | 0.6977 | 0.8353 |
| No log | 3.7474 | 356 | 0.7412 | 0.6812 | 0.7412 | 0.8609 |
| No log | 3.7684 | 358 | 0.7928 | 0.6812 | 0.7928 | 0.8904 |
| No log | 3.7895 | 360 | 0.8393 | 0.7059 | 0.8393 | 0.9162 |
| No log | 3.8105 | 362 | 0.8770 | 0.5669 | 0.8770 | 0.9365 |
| No log | 3.8316 | 364 | 0.9087 | 0.5714 | 0.9087 | 0.9532 |
| No log | 3.8526 | 366 | 0.9136 | 0.6277 | 0.9136 | 0.9558 |
| No log | 3.8737 | 368 | 0.8253 | 0.7172 | 0.8253 | 0.9084 |
| No log | 3.8947 | 370 | 0.7530 | 0.7 | 0.7530 | 0.8678 |
| No log | 3.9158 | 372 | 0.8235 | 0.6857 | 0.8235 | 0.9075 |
| No log | 3.9368 | 374 | 0.8550 | 0.6338 | 0.8550 | 0.9247 |
| No log | 3.9579 | 376 | 0.8065 | 0.7042 | 0.8065 | 0.8981 |
| No log | 3.9789 | 378 | 0.7572 | 0.7114 | 0.7572 | 0.8701 |
| No log | 4.0 | 380 | 0.7836 | 0.7027 | 0.7836 | 0.8852 |
| No log | 4.0211 | 382 | 0.8738 | 0.6525 | 0.8738 | 0.9347 |
| No log | 4.0421 | 384 | 0.9136 | 0.6383 | 0.9136 | 0.9558 |
| No log | 4.0632 | 386 | 0.9113 | 0.6667 | 0.9113 | 0.9546 |
| No log | 4.0842 | 388 | 0.9135 | 0.6667 | 0.9135 | 0.9558 |
| No log | 4.1053 | 390 | 0.9232 | 0.6519 | 0.9232 | 0.9609 |
| No log | 4.1263 | 392 | 0.8987 | 0.6763 | 0.8987 | 0.9480 |
| No log | 4.1474 | 394 | 0.9140 | 0.6857 | 0.9140 | 0.9560 |
| No log | 4.1684 | 396 | 0.8907 | 0.6857 | 0.8907 | 0.9437 |
| No log | 4.1895 | 398 | 0.8204 | 0.6901 | 0.8204 | 0.9058 |
| No log | 4.2105 | 400 | 0.7776 | 0.6897 | 0.7776 | 0.8818 |
| No log | 4.2316 | 402 | 0.7645 | 0.7211 | 0.7645 | 0.8743 |
| No log | 4.2526 | 404 | 0.7749 | 0.6901 | 0.7749 | 0.8803 |
| No log | 4.2737 | 406 | 0.7978 | 0.6765 | 0.7978 | 0.8932 |
| No log | 4.2947 | 408 | 0.7998 | 0.6765 | 0.7998 | 0.8943 |
| No log | 4.3158 | 410 | 0.7800 | 0.6861 | 0.7800 | 0.8832 |
| No log | 4.3368 | 412 | 0.7588 | 0.7172 | 0.7588 | 0.8711 |
| No log | 4.3579 | 414 | 0.7396 | 0.7152 | 0.7396 | 0.8600 |
| No log | 4.3789 | 416 | 0.7543 | 0.7152 | 0.7543 | 0.8685 |
| No log | 4.4 | 418 | 0.7699 | 0.7034 | 0.7699 | 0.8775 |
| No log | 4.4211 | 420 | 0.7624 | 0.7260 | 0.7624 | 0.8731 |
| No log | 4.4421 | 422 | 0.7641 | 0.7133 | 0.7641 | 0.8741 |
| No log | 4.4632 | 424 | 0.7708 | 0.6861 | 0.7708 | 0.8780 |
| No log | 4.4842 | 426 | 0.8023 | 0.6716 | 0.8023 | 0.8957 |
| No log | 4.5053 | 428 | 0.8207 | 0.6617 | 0.8207 | 0.9059 |
| No log | 4.5263 | 430 | 0.7917 | 0.6861 | 0.7917 | 0.8898 |
| No log | 4.5474 | 432 | 0.7541 | 0.7 | 0.7541 | 0.8684 |
| No log | 4.5684 | 434 | 0.7252 | 0.7 | 0.7252 | 0.8516 |
| No log | 4.5895 | 436 | 0.7090 | 0.7248 | 0.7090 | 0.8420 |
| No log | 4.6105 | 438 | 0.7609 | 0.7558 | 0.7609 | 0.8723 |
| No log | 4.6316 | 440 | 0.8320 | 0.7209 | 0.8320 | 0.9122 |
| No log | 4.6526 | 442 | 0.8225 | 0.7399 | 0.8225 | 0.9069 |
| No log | 4.6737 | 444 | 0.7427 | 0.7241 | 0.7427 | 0.8618 |
| No log | 4.6947 | 446 | 0.7058 | 0.7468 | 0.7058 | 0.8401 |
| No log | 4.7158 | 448 | 0.7072 | 0.7368 | 0.7072 | 0.8409 |
| No log | 4.7368 | 450 | 0.7213 | 0.7347 | 0.7213 | 0.8493 |
| No log | 4.7579 | 452 | 0.7688 | 0.6980 | 0.7688 | 0.8768 |
| No log | 4.7789 | 454 | 0.7742 | 0.7172 | 0.7742 | 0.8799 |
| No log | 4.8 | 456 | 0.7576 | 0.7310 | 0.7576 | 0.8704 |
| No log | 4.8211 | 458 | 0.7395 | 0.7260 | 0.7395 | 0.8599 |
| No log | 4.8421 | 460 | 0.7457 | 0.7260 | 0.7457 | 0.8635 |
| No log | 4.8632 | 462 | 0.7535 | 0.7222 | 0.7535 | 0.8681 |
| No log | 4.8842 | 464 | 0.7694 | 0.7222 | 0.7694 | 0.8772 |
| No log | 4.9053 | 466 | 0.7729 | 0.7172 | 0.7729 | 0.8791 |
| No log | 4.9263 | 468 | 0.7678 | 0.6861 | 0.7678 | 0.8762 |
| No log | 4.9474 | 470 | 0.7708 | 0.6861 | 0.7708 | 0.8780 |
| No log | 4.9684 | 472 | 0.7741 | 0.7 | 0.7741 | 0.8798 |
| No log | 4.9895 | 474 | 0.8076 | 0.6667 | 0.8076 | 0.8987 |
| No log | 5.0105 | 476 | 0.8372 | 0.6715 | 0.8372 | 0.9150 |
| No log | 5.0316 | 478 | 0.9199 | 0.6294 | 0.9199 | 0.9591 |
| No log | 5.0526 | 480 | 0.9979 | 0.6575 | 0.9979 | 0.9989 |
| No log | 5.0737 | 482 | 1.0812 | 0.6184 | 1.0812 | 1.0398 |
| No log | 5.0947 | 484 | 1.0263 | 0.6275 | 1.0263 | 1.0131 |
| No log | 5.1158 | 486 | 0.8649 | 0.6712 | 0.8649 | 0.9300 |
| No log | 5.1368 | 488 | 0.8195 | 0.6809 | 0.8195 | 0.9053 |
| No log | 5.1579 | 490 | 0.8046 | 0.6809 | 0.8046 | 0.8970 |
| No log | 5.1789 | 492 | 0.8199 | 0.6897 | 0.8199 | 0.9055 |
| No log | 5.2 | 494 | 0.8727 | 0.7037 | 0.8727 | 0.9342 |
| No log | 5.2211 | 496 | 0.9395 | 0.6918 | 0.9395 | 0.9693 |
| No log | 5.2421 | 498 | 0.9347 | 0.6918 | 0.9347 | 0.9668 |
| 0.4976 | 5.2632 | 500 | 0.8996 | 0.6835 | 0.8996 | 0.9485 |
| 0.4976 | 5.2842 | 502 | 0.9023 | 0.6914 | 0.9023 | 0.9499 |
| 0.4976 | 5.3053 | 504 | 0.9402 | 0.7152 | 0.9402 | 0.9696 |
| 0.4976 | 5.3263 | 506 | 0.9943 | 0.6826 | 0.9943 | 0.9971 |
| 0.4976 | 5.3474 | 508 | 0.9327 | 0.6951 | 0.9327 | 0.9657 |
| 0.4976 | 5.3684 | 510 | 0.8361 | 0.6914 | 0.8361 | 0.9144 |
| 0.4976 | 5.3895 | 512 | 0.8147 | 0.7027 | 0.8147 | 0.9026 |
| 0.4976 | 5.4105 | 514 | 0.8041 | 0.6849 | 0.8041 | 0.8967 |
| 0.4976 | 5.4316 | 516 | 0.7905 | 0.7034 | 0.7905 | 0.8891 |
| 0.4976 | 5.4526 | 518 | 0.7830 | 0.7083 | 0.7830 | 0.8849 |
| 0.4976 | 5.4737 | 520 | 0.7837 | 0.7050 | 0.7837 | 0.8853 |
| 0.4976 | 5.4947 | 522 | 0.7883 | 0.7143 | 0.7883 | 0.8879 |
| 0.4976 | 5.5158 | 524 | 0.8014 | 0.6906 | 0.8014 | 0.8952 |
| 0.4976 | 5.5368 | 526 | 0.8042 | 0.7092 | 0.8042 | 0.8968 |
| 0.4976 | 5.5579 | 528 | 0.8118 | 0.7375 | 0.8118 | 0.9010 |
| 0.4976 | 5.5789 | 530 | 0.8776 | 0.7251 | 0.8776 | 0.9368 |
| 0.4976 | 5.6 | 532 | 0.8688 | 0.7093 | 0.8688 | 0.9321 |
| 0.4976 | 5.6211 | 534 | 0.8239 | 0.7037 | 0.8239 | 0.9077 |
| 0.4976 | 5.6421 | 536 | 0.8045 | 0.6957 | 0.8045 | 0.8970 |
| 0.4976 | 5.6632 | 538 | 0.8363 | 0.6912 | 0.8363 | 0.9145 |
| 0.4976 | 5.6842 | 540 | 0.9796 | 0.6187 | 0.9796 | 0.9897 |
| 0.4976 | 5.7053 | 542 | 1.0308 | 0.6 | 1.0308 | 1.0153 |
| 0.4976 | 5.7263 | 544 | 0.9723 | 0.6715 | 0.9723 | 0.9860 |
| 0.4976 | 5.7474 | 546 | 0.8553 | 0.6718 | 0.8553 | 0.9248 |
| 0.4976 | 5.7684 | 548 | 0.7961 | 0.6818 | 0.7961 | 0.8922 |
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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k20_task1_organization
Base model
aubmindlab/bert-base-arabertv02