Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_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_run1_AugV5_k18_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_run1_AugV5_k18_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_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: 1.0166
- Qwk: 0.5831
- Mse: 1.0166
- Rmse: 1.0083
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 | 0.0225 | 2 | 5.5616 | 0.0155 | 5.5616 | 2.3583 |
| No log | 0.0449 | 4 | 4.3778 | 0.0031 | 4.3778 | 2.0923 |
| No log | 0.0674 | 6 | 2.6737 | 0.1009 | 2.6737 | 1.6351 |
| No log | 0.0899 | 8 | 1.9032 | 0.0179 | 1.9032 | 1.3796 |
| No log | 0.1124 | 10 | 1.5833 | 0.0526 | 1.5833 | 1.2583 |
| No log | 0.1348 | 12 | 1.2976 | 0.1819 | 1.2976 | 1.1391 |
| No log | 0.1573 | 14 | 1.2969 | 0.1754 | 1.2969 | 1.1388 |
| No log | 0.1798 | 16 | 1.3593 | 0.1782 | 1.3593 | 1.1659 |
| No log | 0.2022 | 18 | 1.7094 | -0.0925 | 1.7094 | 1.3074 |
| No log | 0.2247 | 20 | 1.3190 | 0.2787 | 1.3190 | 1.1485 |
| No log | 0.2472 | 22 | 1.1435 | 0.1807 | 1.1435 | 1.0694 |
| No log | 0.2697 | 24 | 1.2628 | 0.2361 | 1.2628 | 1.1237 |
| No log | 0.2921 | 26 | 1.4724 | 0.0321 | 1.4724 | 1.2134 |
| No log | 0.3146 | 28 | 1.4481 | 0.0362 | 1.4481 | 1.2034 |
| No log | 0.3371 | 30 | 1.4904 | 0.0569 | 1.4904 | 1.2208 |
| No log | 0.3596 | 32 | 1.4320 | 0.0847 | 1.4320 | 1.1967 |
| No log | 0.3820 | 34 | 1.1674 | 0.2433 | 1.1674 | 1.0805 |
| No log | 0.4045 | 36 | 1.1478 | 0.0967 | 1.1478 | 1.0713 |
| No log | 0.4270 | 38 | 1.1618 | 0.2555 | 1.1618 | 1.0779 |
| No log | 0.4494 | 40 | 1.2747 | 0.2216 | 1.2747 | 1.1290 |
| No log | 0.4719 | 42 | 1.3517 | 0.1604 | 1.3517 | 1.1626 |
| No log | 0.4944 | 44 | 1.3113 | 0.2396 | 1.3113 | 1.1451 |
| No log | 0.5169 | 46 | 1.1427 | 0.3126 | 1.1427 | 1.0690 |
| No log | 0.5393 | 48 | 1.1003 | 0.2615 | 1.1003 | 1.0489 |
| No log | 0.5618 | 50 | 1.0951 | 0.2909 | 1.0951 | 1.0465 |
| No log | 0.5843 | 52 | 1.1141 | 0.4046 | 1.1141 | 1.0555 |
| No log | 0.6067 | 54 | 1.0722 | 0.4046 | 1.0722 | 1.0355 |
| No log | 0.6292 | 56 | 1.0336 | 0.3951 | 1.0336 | 1.0166 |
| No log | 0.6517 | 58 | 0.9772 | 0.3433 | 0.9772 | 0.9886 |
| No log | 0.6742 | 60 | 0.9599 | 0.3357 | 0.9599 | 0.9797 |
| No log | 0.6966 | 62 | 0.9372 | 0.3691 | 0.9372 | 0.9681 |
| No log | 0.7191 | 64 | 0.9478 | 0.4520 | 0.9478 | 0.9736 |
| No log | 0.7416 | 66 | 0.9287 | 0.4307 | 0.9287 | 0.9637 |
| No log | 0.7640 | 68 | 0.9152 | 0.3986 | 0.9152 | 0.9566 |
| No log | 0.7865 | 70 | 0.8996 | 0.4055 | 0.8996 | 0.9485 |
| No log | 0.8090 | 72 | 0.9559 | 0.4200 | 0.9559 | 0.9777 |
| No log | 0.8315 | 74 | 0.9757 | 0.4530 | 0.9757 | 0.9878 |
| No log | 0.8539 | 76 | 0.8822 | 0.4430 | 0.8822 | 0.9393 |
| No log | 0.8764 | 78 | 0.8634 | 0.4342 | 0.8634 | 0.9292 |
| No log | 0.8989 | 80 | 0.9047 | 0.4222 | 0.9047 | 0.9512 |
| No log | 0.9213 | 82 | 0.9331 | 0.4887 | 0.9331 | 0.9660 |
| No log | 0.9438 | 84 | 1.0593 | 0.4160 | 1.0593 | 1.0292 |
| No log | 0.9663 | 86 | 1.2224 | 0.4046 | 1.2224 | 1.1056 |
| No log | 0.9888 | 88 | 1.0714 | 0.4556 | 1.0714 | 1.0351 |
| No log | 1.0112 | 90 | 0.9095 | 0.5105 | 0.9095 | 0.9537 |
| No log | 1.0337 | 92 | 0.8387 | 0.4828 | 0.8387 | 0.9158 |
| No log | 1.0562 | 94 | 0.8252 | 0.5181 | 0.8252 | 0.9084 |
| No log | 1.0787 | 96 | 0.8202 | 0.5129 | 0.8202 | 0.9057 |
| No log | 1.1011 | 98 | 0.8132 | 0.4884 | 0.8132 | 0.9018 |
| No log | 1.1236 | 100 | 0.8271 | 0.4796 | 0.8271 | 0.9094 |
| No log | 1.1461 | 102 | 0.8477 | 0.4945 | 0.8477 | 0.9207 |
| No log | 1.1685 | 104 | 0.8278 | 0.5141 | 0.8278 | 0.9099 |
| No log | 1.1910 | 106 | 0.8244 | 0.5240 | 0.8244 | 0.9080 |
| No log | 1.2135 | 108 | 0.8793 | 0.5486 | 0.8793 | 0.9377 |
| No log | 1.2360 | 110 | 0.8052 | 0.5581 | 0.8052 | 0.8974 |
| No log | 1.2584 | 112 | 0.7755 | 0.5530 | 0.7755 | 0.8806 |
| No log | 1.2809 | 114 | 0.8337 | 0.5686 | 0.8337 | 0.9131 |
| No log | 1.3034 | 116 | 1.0438 | 0.5503 | 1.0438 | 1.0217 |
| No log | 1.3258 | 118 | 1.2430 | 0.4751 | 1.2430 | 1.1149 |
| No log | 1.3483 | 120 | 1.1204 | 0.4853 | 1.1204 | 1.0585 |
| No log | 1.3708 | 122 | 0.9083 | 0.5505 | 0.9083 | 0.9531 |
| No log | 1.3933 | 124 | 0.8231 | 0.5789 | 0.8231 | 0.9072 |
| No log | 1.4157 | 126 | 0.8143 | 0.5831 | 0.8143 | 0.9024 |
| No log | 1.4382 | 128 | 0.8634 | 0.5571 | 0.8634 | 0.9292 |
| No log | 1.4607 | 130 | 1.0032 | 0.5012 | 1.0032 | 1.0016 |
| No log | 1.4831 | 132 | 0.9332 | 0.5530 | 0.9332 | 0.9660 |
| No log | 1.5056 | 134 | 0.8199 | 0.5263 | 0.8199 | 0.9055 |
| No log | 1.5281 | 136 | 0.7603 | 0.5725 | 0.7603 | 0.8720 |
| No log | 1.5506 | 138 | 0.7696 | 0.5755 | 0.7696 | 0.8773 |
| No log | 1.5730 | 140 | 0.7952 | 0.5771 | 0.7952 | 0.8917 |
| No log | 1.5955 | 142 | 0.7776 | 0.5875 | 0.7776 | 0.8818 |
| No log | 1.6180 | 144 | 0.7904 | 0.5319 | 0.7904 | 0.8890 |
| No log | 1.6404 | 146 | 0.9633 | 0.5437 | 0.9633 | 0.9815 |
| No log | 1.6629 | 148 | 1.0515 | 0.5148 | 1.0515 | 1.0254 |
| No log | 1.6854 | 150 | 0.8684 | 0.5728 | 0.8684 | 0.9319 |
| No log | 1.7079 | 152 | 0.8047 | 0.5903 | 0.8047 | 0.8970 |
| No log | 1.7303 | 154 | 0.7778 | 0.5397 | 0.7778 | 0.8819 |
| No log | 1.7528 | 156 | 0.7806 | 0.5641 | 0.7806 | 0.8835 |
| No log | 1.7753 | 158 | 0.8521 | 0.5951 | 0.8521 | 0.9231 |
| No log | 1.7978 | 160 | 0.8296 | 0.5427 | 0.8296 | 0.9108 |
| No log | 1.8202 | 162 | 1.0166 | 0.5639 | 1.0166 | 1.0083 |
| No log | 1.8427 | 164 | 1.0336 | 0.5666 | 1.0336 | 1.0167 |
| No log | 1.8652 | 166 | 0.7820 | 0.5724 | 0.7820 | 0.8843 |
| No log | 1.8876 | 168 | 0.7712 | 0.5421 | 0.7712 | 0.8782 |
| No log | 1.9101 | 170 | 0.7350 | 0.5842 | 0.7350 | 0.8573 |
| No log | 1.9326 | 172 | 0.8108 | 0.6190 | 0.8108 | 0.9004 |
| No log | 1.9551 | 174 | 1.1787 | 0.5040 | 1.1787 | 1.0857 |
| No log | 1.9775 | 176 | 1.2708 | 0.4973 | 1.2708 | 1.1273 |
| No log | 2.0 | 178 | 1.1241 | 0.5216 | 1.1241 | 1.0602 |
| No log | 2.0225 | 180 | 1.0583 | 0.5367 | 1.0583 | 1.0288 |
| No log | 2.0449 | 182 | 0.9288 | 0.6043 | 0.9288 | 0.9638 |
| No log | 2.0674 | 184 | 0.9813 | 0.5761 | 0.9813 | 0.9906 |
| No log | 2.0899 | 186 | 1.0950 | 0.5639 | 1.0950 | 1.0464 |
| No log | 2.1124 | 188 | 1.0431 | 0.6011 | 1.0431 | 1.0213 |
| No log | 2.1348 | 190 | 0.8582 | 0.6646 | 0.8582 | 0.9264 |
| No log | 2.1573 | 192 | 0.9429 | 0.5977 | 0.9429 | 0.9710 |
| No log | 2.1798 | 194 | 0.8708 | 0.6217 | 0.8708 | 0.9332 |
| No log | 2.2022 | 196 | 0.8373 | 0.6540 | 0.8373 | 0.9151 |
| No log | 2.2247 | 198 | 1.0224 | 0.5578 | 1.0224 | 1.0111 |
| No log | 2.2472 | 200 | 1.1345 | 0.4966 | 1.1345 | 1.0651 |
| No log | 2.2697 | 202 | 1.0894 | 0.5062 | 1.0894 | 1.0437 |
| No log | 2.2921 | 204 | 0.9758 | 0.5594 | 0.9758 | 0.9878 |
| No log | 2.3146 | 206 | 0.8181 | 0.6408 | 0.8181 | 0.9045 |
| No log | 2.3371 | 208 | 0.7827 | 0.6507 | 0.7827 | 0.8847 |
| No log | 2.3596 | 210 | 0.7564 | 0.6624 | 0.7564 | 0.8697 |
| No log | 2.3820 | 212 | 0.7756 | 0.6781 | 0.7756 | 0.8807 |
| No log | 2.4045 | 214 | 0.8882 | 0.6300 | 0.8882 | 0.9424 |
| No log | 2.4270 | 216 | 0.9110 | 0.6239 | 0.9110 | 0.9545 |
| No log | 2.4494 | 218 | 0.9486 | 0.5914 | 0.9486 | 0.9739 |
| No log | 2.4719 | 220 | 0.8765 | 0.6108 | 0.8765 | 0.9362 |
| No log | 2.4944 | 222 | 0.9131 | 0.6087 | 0.9131 | 0.9556 |
| No log | 2.5169 | 224 | 1.0067 | 0.5578 | 1.0067 | 1.0033 |
| No log | 2.5393 | 226 | 1.0797 | 0.5366 | 1.0797 | 1.0391 |
| No log | 2.5618 | 228 | 0.9709 | 0.5450 | 0.9709 | 0.9853 |
| No log | 2.5843 | 230 | 0.8226 | 0.6519 | 0.8226 | 0.9070 |
| No log | 2.6067 | 232 | 0.8358 | 0.5824 | 0.8358 | 0.9142 |
| No log | 2.6292 | 234 | 0.9364 | 0.5427 | 0.9364 | 0.9677 |
| No log | 2.6517 | 236 | 0.9584 | 0.5240 | 0.9584 | 0.9790 |
| No log | 2.6742 | 238 | 0.7998 | 0.6069 | 0.7998 | 0.8943 |
| No log | 2.6966 | 240 | 0.6663 | 0.7012 | 0.6663 | 0.8162 |
| No log | 2.7191 | 242 | 0.6779 | 0.6910 | 0.6779 | 0.8234 |
| No log | 2.7416 | 244 | 0.7605 | 0.7105 | 0.7605 | 0.8720 |
| No log | 2.7640 | 246 | 0.9759 | 0.5485 | 0.9759 | 0.9879 |
| No log | 2.7865 | 248 | 1.0761 | 0.5525 | 1.0761 | 1.0373 |
| No log | 2.8090 | 250 | 0.9997 | 0.5500 | 0.9997 | 0.9998 |
| No log | 2.8315 | 252 | 0.8631 | 0.6087 | 0.8631 | 0.9290 |
| No log | 2.8539 | 254 | 0.7846 | 0.6148 | 0.7846 | 0.8858 |
| No log | 2.8764 | 256 | 0.7909 | 0.6207 | 0.7909 | 0.8893 |
| No log | 2.8989 | 258 | 0.8203 | 0.6182 | 0.8203 | 0.9057 |
| No log | 2.9213 | 260 | 0.9825 | 0.5648 | 0.9825 | 0.9912 |
| No log | 2.9438 | 262 | 1.0981 | 0.5695 | 1.0981 | 1.0479 |
| No log | 2.9663 | 264 | 0.8479 | 0.6305 | 0.8479 | 0.9208 |
| No log | 2.9888 | 266 | 0.7297 | 0.6931 | 0.7297 | 0.8542 |
| No log | 3.0112 | 268 | 0.6406 | 0.7017 | 0.6406 | 0.8004 |
| No log | 3.0337 | 270 | 0.6385 | 0.7073 | 0.6385 | 0.7990 |
| No log | 3.0562 | 272 | 0.7774 | 0.6340 | 0.7774 | 0.8817 |
| No log | 3.0787 | 274 | 1.2108 | 0.5597 | 1.2108 | 1.1004 |
| No log | 3.1011 | 276 | 1.3385 | 0.4815 | 1.3385 | 1.1569 |
| No log | 3.1236 | 278 | 1.2634 | 0.5045 | 1.2634 | 1.1240 |
| No log | 3.1461 | 280 | 1.0450 | 0.5820 | 1.0450 | 1.0222 |
| No log | 3.1685 | 282 | 0.9262 | 0.6052 | 0.9262 | 0.9624 |
| No log | 3.1910 | 284 | 0.9281 | 0.5975 | 0.9281 | 0.9634 |
| No log | 3.2135 | 286 | 1.0011 | 0.5979 | 1.0011 | 1.0006 |
| No log | 3.2360 | 288 | 1.1212 | 0.5581 | 1.1212 | 1.0589 |
| No log | 3.2584 | 290 | 1.0472 | 0.5773 | 1.0472 | 1.0233 |
| No log | 3.2809 | 292 | 0.8308 | 0.6509 | 0.8308 | 0.9115 |
| No log | 3.3034 | 294 | 0.7510 | 0.6904 | 0.7510 | 0.8666 |
| No log | 3.3258 | 296 | 0.7362 | 0.6725 | 0.7362 | 0.8580 |
| No log | 3.3483 | 298 | 0.7890 | 0.6281 | 0.7890 | 0.8883 |
| No log | 3.3708 | 300 | 0.7575 | 0.6328 | 0.7575 | 0.8703 |
| No log | 3.3933 | 302 | 0.8424 | 0.6108 | 0.8424 | 0.9178 |
| No log | 3.4157 | 304 | 0.8467 | 0.5794 | 0.8467 | 0.9202 |
| No log | 3.4382 | 306 | 0.8070 | 0.6262 | 0.8070 | 0.8983 |
| No log | 3.4607 | 308 | 0.7999 | 0.6212 | 0.7999 | 0.8944 |
| No log | 3.4831 | 310 | 0.8810 | 0.6052 | 0.8810 | 0.9386 |
| No log | 3.5056 | 312 | 0.8531 | 0.6023 | 0.8531 | 0.9236 |
| No log | 3.5281 | 314 | 0.8800 | 0.6195 | 0.8800 | 0.9381 |
| No log | 3.5506 | 316 | 0.9972 | 0.5829 | 0.9972 | 0.9986 |
| No log | 3.5730 | 318 | 1.1306 | 0.5435 | 1.1306 | 1.0633 |
| No log | 3.5955 | 320 | 1.1190 | 0.5411 | 1.1190 | 1.0578 |
| No log | 3.6180 | 322 | 1.0805 | 0.5502 | 1.0805 | 1.0395 |
| No log | 3.6404 | 324 | 0.9761 | 0.5882 | 0.9761 | 0.9880 |
| No log | 3.6629 | 326 | 0.9485 | 0.5894 | 0.9485 | 0.9739 |
| No log | 3.6854 | 328 | 0.8977 | 0.6071 | 0.8977 | 0.9475 |
| No log | 3.7079 | 330 | 0.8638 | 0.6009 | 0.8638 | 0.9294 |
| No log | 3.7303 | 332 | 0.8978 | 0.5775 | 0.8978 | 0.9475 |
| No log | 3.7528 | 334 | 0.8802 | 0.5775 | 0.8802 | 0.9382 |
| No log | 3.7753 | 336 | 0.8695 | 0.5716 | 0.8695 | 0.9325 |
| No log | 3.7978 | 338 | 0.8183 | 0.5829 | 0.8183 | 0.9046 |
| No log | 3.8202 | 340 | 0.7300 | 0.6410 | 0.7300 | 0.8544 |
| No log | 3.8427 | 342 | 0.7479 | 0.5102 | 0.7479 | 0.8648 |
| No log | 3.8652 | 344 | 0.7189 | 0.6108 | 0.7189 | 0.8479 |
| No log | 3.8876 | 346 | 0.7450 | 0.6583 | 0.7450 | 0.8632 |
| No log | 3.9101 | 348 | 0.8131 | 0.6200 | 0.8131 | 0.9017 |
| No log | 3.9326 | 350 | 0.8212 | 0.6156 | 0.8212 | 0.9062 |
| No log | 3.9551 | 352 | 0.8906 | 0.6159 | 0.8906 | 0.9437 |
| No log | 3.9775 | 354 | 0.8871 | 0.6230 | 0.8871 | 0.9419 |
| No log | 4.0 | 356 | 0.9176 | 0.6192 | 0.9176 | 0.9579 |
| No log | 4.0225 | 358 | 0.9367 | 0.5670 | 0.9367 | 0.9678 |
| No log | 4.0449 | 360 | 0.8732 | 0.5739 | 0.8732 | 0.9345 |
| No log | 4.0674 | 362 | 0.7659 | 0.6479 | 0.7659 | 0.8751 |
| No log | 4.0899 | 364 | 0.7564 | 0.6786 | 0.7564 | 0.8697 |
| No log | 4.1124 | 366 | 0.8323 | 0.6291 | 0.8323 | 0.9123 |
| No log | 4.1348 | 368 | 0.9352 | 0.5843 | 0.9352 | 0.9670 |
| No log | 4.1573 | 370 | 0.9471 | 0.6136 | 0.9471 | 0.9732 |
| No log | 4.1798 | 372 | 0.9337 | 0.6374 | 0.9337 | 0.9663 |
| No log | 4.2022 | 374 | 0.8852 | 0.6435 | 0.8852 | 0.9409 |
| No log | 4.2247 | 376 | 0.8664 | 0.6404 | 0.8664 | 0.9308 |
| No log | 4.2472 | 378 | 0.9054 | 0.6392 | 0.9054 | 0.9515 |
| No log | 4.2697 | 380 | 1.0924 | 0.5774 | 1.0924 | 1.0452 |
| No log | 4.2921 | 382 | 1.1103 | 0.5707 | 1.1103 | 1.0537 |
| No log | 4.3146 | 384 | 0.9172 | 0.6193 | 0.9172 | 0.9577 |
| No log | 4.3371 | 386 | 0.7663 | 0.6525 | 0.7663 | 0.8754 |
| No log | 4.3596 | 388 | 0.7162 | 0.6515 | 0.7162 | 0.8463 |
| No log | 4.3820 | 390 | 0.8481 | 0.6555 | 0.8481 | 0.9209 |
| No log | 4.4045 | 392 | 1.1357 | 0.5707 | 1.1357 | 1.0657 |
| No log | 4.4270 | 394 | 1.1568 | 0.5431 | 1.1568 | 1.0755 |
| No log | 4.4494 | 396 | 0.9656 | 0.5836 | 0.9656 | 0.9827 |
| No log | 4.4719 | 398 | 0.7882 | 0.6399 | 0.7882 | 0.8878 |
| No log | 4.4944 | 400 | 0.7415 | 0.6701 | 0.7415 | 0.8611 |
| No log | 4.5169 | 402 | 0.8059 | 0.6419 | 0.8059 | 0.8977 |
| No log | 4.5393 | 404 | 0.8389 | 0.6230 | 0.8389 | 0.9159 |
| No log | 4.5618 | 406 | 0.8722 | 0.5887 | 0.8722 | 0.9339 |
| No log | 4.5843 | 408 | 0.8240 | 0.6230 | 0.8240 | 0.9077 |
| No log | 4.6067 | 410 | 0.7905 | 0.6275 | 0.7905 | 0.8891 |
| No log | 4.6292 | 412 | 0.7868 | 0.6239 | 0.7868 | 0.8870 |
| No log | 4.6517 | 414 | 0.8338 | 0.6377 | 0.8338 | 0.9131 |
| No log | 4.6742 | 416 | 0.7731 | 0.6285 | 0.7731 | 0.8793 |
| No log | 4.6966 | 418 | 0.7520 | 0.6415 | 0.7520 | 0.8672 |
| No log | 4.7191 | 420 | 0.8142 | 0.6311 | 0.8142 | 0.9023 |
| No log | 4.7416 | 422 | 0.8212 | 0.648 | 0.8212 | 0.9062 |
| No log | 4.7640 | 424 | 0.7600 | 0.6575 | 0.7600 | 0.8718 |
| No log | 4.7865 | 426 | 0.7202 | 0.6878 | 0.7202 | 0.8487 |
| No log | 4.8090 | 428 | 0.7487 | 0.6738 | 0.7487 | 0.8653 |
| No log | 4.8315 | 430 | 0.8074 | 0.6483 | 0.8074 | 0.8986 |
| No log | 4.8539 | 432 | 0.8459 | 0.6411 | 0.8459 | 0.9197 |
| No log | 4.8764 | 434 | 0.7509 | 0.6762 | 0.7509 | 0.8665 |
| No log | 4.8989 | 436 | 0.7553 | 0.6618 | 0.7553 | 0.8691 |
| No log | 4.9213 | 438 | 0.8588 | 0.6401 | 0.8588 | 0.9267 |
| No log | 4.9438 | 440 | 1.0310 | 0.5856 | 1.0310 | 1.0154 |
| No log | 4.9663 | 442 | 1.1627 | 0.5709 | 1.1627 | 1.0783 |
| No log | 4.9888 | 444 | 1.1691 | 0.5698 | 1.1691 | 1.0813 |
| No log | 5.0112 | 446 | 0.9612 | 0.6050 | 0.9612 | 0.9804 |
| No log | 5.0337 | 448 | 0.8600 | 0.6330 | 0.8600 | 0.9274 |
| No log | 5.0562 | 450 | 0.8128 | 0.6609 | 0.8128 | 0.9016 |
| No log | 5.0787 | 452 | 0.9027 | 0.6461 | 0.9027 | 0.9501 |
| No log | 5.1011 | 454 | 1.1221 | 0.5497 | 1.1221 | 1.0593 |
| No log | 5.1236 | 456 | 1.2665 | 0.5131 | 1.2665 | 1.1254 |
| No log | 5.1461 | 458 | 1.3440 | 0.4754 | 1.3440 | 1.1593 |
| No log | 5.1685 | 460 | 1.1831 | 0.5309 | 1.1831 | 1.0877 |
| No log | 5.1910 | 462 | 0.9739 | 0.5901 | 0.9739 | 0.9869 |
| No log | 5.2135 | 464 | 0.8708 | 0.6325 | 0.8708 | 0.9332 |
| No log | 5.2360 | 466 | 0.7808 | 0.6628 | 0.7808 | 0.8836 |
| No log | 5.2584 | 468 | 0.7497 | 0.6758 | 0.7497 | 0.8659 |
| No log | 5.2809 | 470 | 0.8568 | 0.6114 | 0.8568 | 0.9256 |
| No log | 5.3034 | 472 | 1.1355 | 0.5516 | 1.1355 | 1.0656 |
| No log | 5.3258 | 474 | 1.1146 | 0.5730 | 1.1146 | 1.0557 |
| No log | 5.3483 | 476 | 0.8188 | 0.6511 | 0.8188 | 0.9048 |
| No log | 5.3708 | 478 | 0.6214 | 0.6678 | 0.6214 | 0.7883 |
| No log | 5.3933 | 480 | 0.6826 | 0.6468 | 0.6826 | 0.8262 |
| No log | 5.4157 | 482 | 0.6265 | 0.6422 | 0.6265 | 0.7915 |
| No log | 5.4382 | 484 | 0.6342 | 0.6994 | 0.6342 | 0.7963 |
| No log | 5.4607 | 486 | 0.7883 | 0.6014 | 0.7883 | 0.8879 |
| No log | 5.4831 | 488 | 0.9366 | 0.6043 | 0.9366 | 0.9678 |
| No log | 5.5056 | 490 | 0.9657 | 0.6112 | 0.9657 | 0.9827 |
| No log | 5.5281 | 492 | 0.8623 | 0.6244 | 0.8623 | 0.9286 |
| No log | 5.5506 | 494 | 0.7973 | 0.6273 | 0.7973 | 0.8929 |
| No log | 5.5730 | 496 | 0.8033 | 0.6359 | 0.8033 | 0.8963 |
| No log | 5.5955 | 498 | 0.8562 | 0.6239 | 0.8562 | 0.9253 |
| 0.428 | 5.6180 | 500 | 0.9271 | 0.6055 | 0.9271 | 0.9629 |
| 0.428 | 5.6404 | 502 | 0.9119 | 0.6101 | 0.9119 | 0.9549 |
| 0.428 | 5.6629 | 504 | 0.9046 | 0.6230 | 0.9046 | 0.9511 |
| 0.428 | 5.6854 | 506 | 1.0054 | 0.6116 | 1.0054 | 1.0027 |
| 0.428 | 5.7079 | 508 | 1.2032 | 0.5625 | 1.2032 | 1.0969 |
| 0.428 | 5.7303 | 510 | 1.2430 | 0.5501 | 1.2430 | 1.1149 |
| 0.428 | 5.7528 | 512 | 1.1742 | 0.5763 | 1.1742 | 1.0836 |
| 0.428 | 5.7753 | 514 | 1.0349 | 0.5739 | 1.0349 | 1.0173 |
| 0.428 | 5.7978 | 516 | 1.0166 | 0.5831 | 1.0166 | 1.0083 |
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_run1_AugV5_k18_task1_organization
Base model
aubmindlab/bert-base-arabertv02