Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_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_usingWellWrittenEssays_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_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_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: 0.9418
- Qwk: 0.5789
- Mse: 0.9418
- Rmse: 0.9704
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 | 0.0227 | 2 | 5.3857 | -0.0391 | 5.3857 | 2.3207 |
| No log | 0.0455 | 4 | 3.3063 | 0.0434 | 3.3063 | 1.8183 |
| No log | 0.0682 | 6 | 2.2771 | 0.0135 | 2.2771 | 1.5090 |
| No log | 0.0909 | 8 | 1.6900 | 0.1222 | 1.6900 | 1.3000 |
| No log | 0.1136 | 10 | 1.7661 | 0.0789 | 1.7661 | 1.3290 |
| No log | 0.1364 | 12 | 1.7138 | -0.0328 | 1.7138 | 1.3091 |
| No log | 0.1591 | 14 | 1.2163 | 0.2282 | 1.2163 | 1.1029 |
| No log | 0.1818 | 16 | 1.2724 | 0.1845 | 1.2724 | 1.1280 |
| No log | 0.2045 | 18 | 1.2413 | 0.1543 | 1.2413 | 1.1142 |
| No log | 0.2273 | 20 | 1.1549 | 0.1684 | 1.1549 | 1.0747 |
| No log | 0.25 | 22 | 1.1802 | 0.1056 | 1.1802 | 1.0864 |
| No log | 0.2727 | 24 | 1.1552 | 0.1372 | 1.1552 | 1.0748 |
| No log | 0.2955 | 26 | 1.1383 | 0.1979 | 1.1383 | 1.0669 |
| No log | 0.3182 | 28 | 1.2309 | 0.2763 | 1.2309 | 1.1094 |
| No log | 0.3409 | 30 | 1.2869 | 0.2484 | 1.2869 | 1.1344 |
| No log | 0.3636 | 32 | 1.2456 | 0.3233 | 1.2456 | 1.1161 |
| No log | 0.3864 | 34 | 1.1972 | 0.3497 | 1.1972 | 1.0941 |
| No log | 0.4091 | 36 | 1.1240 | 0.3179 | 1.1240 | 1.0602 |
| No log | 0.4318 | 38 | 1.1445 | 0.3262 | 1.1445 | 1.0698 |
| No log | 0.4545 | 40 | 1.1466 | 0.3141 | 1.1466 | 1.0708 |
| No log | 0.4773 | 42 | 1.0677 | 0.3386 | 1.0677 | 1.0333 |
| No log | 0.5 | 44 | 1.0232 | 0.2580 | 1.0232 | 1.0115 |
| No log | 0.5227 | 46 | 1.0450 | 0.2599 | 1.0450 | 1.0222 |
| No log | 0.5455 | 48 | 1.2116 | 0.1459 | 1.2116 | 1.1007 |
| No log | 0.5682 | 50 | 1.4245 | 0.0332 | 1.4245 | 1.1935 |
| No log | 0.5909 | 52 | 1.3082 | 0.1201 | 1.3082 | 1.1438 |
| No log | 0.6136 | 54 | 1.2381 | 0.1848 | 1.2381 | 1.1127 |
| No log | 0.6364 | 56 | 1.0331 | 0.2875 | 1.0331 | 1.0164 |
| No log | 0.6591 | 58 | 0.9703 | 0.3575 | 0.9703 | 0.9850 |
| No log | 0.6818 | 60 | 0.9722 | 0.3857 | 0.9722 | 0.9860 |
| No log | 0.7045 | 62 | 0.9761 | 0.3208 | 0.9761 | 0.9880 |
| No log | 0.7273 | 64 | 1.0645 | 0.3753 | 1.0645 | 1.0317 |
| No log | 0.75 | 66 | 1.1219 | 0.3916 | 1.1219 | 1.0592 |
| No log | 0.7727 | 68 | 1.2185 | 0.3471 | 1.2185 | 1.1039 |
| No log | 0.7955 | 70 | 1.2216 | 0.3529 | 1.2216 | 1.1052 |
| No log | 0.8182 | 72 | 1.1264 | 0.3424 | 1.1264 | 1.0613 |
| No log | 0.8409 | 74 | 1.0359 | 0.3374 | 1.0359 | 1.0178 |
| No log | 0.8636 | 76 | 0.9888 | 0.4151 | 0.9888 | 0.9944 |
| No log | 0.8864 | 78 | 1.0048 | 0.4345 | 1.0048 | 1.0024 |
| No log | 0.9091 | 80 | 1.0108 | 0.4457 | 1.0108 | 1.0054 |
| No log | 0.9318 | 82 | 1.0547 | 0.3666 | 1.0547 | 1.0270 |
| No log | 0.9545 | 84 | 1.0619 | 0.4069 | 1.0619 | 1.0305 |
| No log | 0.9773 | 86 | 0.9863 | 0.4418 | 0.9863 | 0.9931 |
| No log | 1.0 | 88 | 0.8924 | 0.5392 | 0.8924 | 0.9447 |
| No log | 1.0227 | 90 | 0.8867 | 0.5485 | 0.8867 | 0.9416 |
| No log | 1.0455 | 92 | 0.9169 | 0.5121 | 0.9169 | 0.9575 |
| No log | 1.0682 | 94 | 1.0280 | 0.3637 | 1.0280 | 1.0139 |
| No log | 1.0909 | 96 | 1.1830 | 0.3759 | 1.1830 | 1.0876 |
| No log | 1.1136 | 98 | 1.3166 | 0.2528 | 1.3166 | 1.1474 |
| No log | 1.1364 | 100 | 1.2115 | 0.2800 | 1.2115 | 1.1007 |
| No log | 1.1591 | 102 | 1.0515 | 0.4003 | 1.0515 | 1.0254 |
| No log | 1.1818 | 104 | 0.9555 | 0.5319 | 0.9555 | 0.9775 |
| No log | 1.2045 | 106 | 0.9418 | 0.5334 | 0.9418 | 0.9705 |
| No log | 1.2273 | 108 | 0.9723 | 0.5502 | 0.9723 | 0.9860 |
| No log | 1.25 | 110 | 0.9863 | 0.5010 | 0.9863 | 0.9931 |
| No log | 1.2727 | 112 | 1.0307 | 0.3765 | 1.0307 | 1.0152 |
| No log | 1.2955 | 114 | 1.0921 | 0.3461 | 1.0921 | 1.0450 |
| No log | 1.3182 | 116 | 0.9991 | 0.3825 | 0.9991 | 0.9996 |
| No log | 1.3409 | 118 | 0.8123 | 0.4936 | 0.8123 | 0.9013 |
| No log | 1.3636 | 120 | 0.7884 | 0.6031 | 0.7884 | 0.8879 |
| No log | 1.3864 | 122 | 0.8101 | 0.6239 | 0.8101 | 0.9001 |
| No log | 1.4091 | 124 | 0.9108 | 0.5657 | 0.9108 | 0.9544 |
| No log | 1.4318 | 126 | 0.9897 | 0.5098 | 0.9897 | 0.9948 |
| No log | 1.4545 | 128 | 1.0107 | 0.4964 | 1.0107 | 1.0053 |
| No log | 1.4773 | 130 | 0.9735 | 0.5263 | 0.9735 | 0.9867 |
| No log | 1.5 | 132 | 0.9334 | 0.4784 | 0.9334 | 0.9661 |
| No log | 1.5227 | 134 | 0.9341 | 0.5211 | 0.9341 | 0.9665 |
| No log | 1.5455 | 136 | 0.9500 | 0.5317 | 0.9500 | 0.9747 |
| No log | 1.5682 | 138 | 0.9779 | 0.4891 | 0.9779 | 0.9889 |
| No log | 1.5909 | 140 | 1.0222 | 0.4877 | 1.0222 | 1.0110 |
| No log | 1.6136 | 142 | 1.0360 | 0.5141 | 1.0360 | 1.0178 |
| No log | 1.6364 | 144 | 1.0244 | 0.5227 | 1.0244 | 1.0121 |
| No log | 1.6591 | 146 | 0.9251 | 0.5556 | 0.9251 | 0.9618 |
| No log | 1.6818 | 148 | 0.9457 | 0.5521 | 0.9457 | 0.9724 |
| No log | 1.7045 | 150 | 0.9837 | 0.4845 | 0.9837 | 0.9918 |
| No log | 1.7273 | 152 | 0.9738 | 0.4687 | 0.9738 | 0.9868 |
| No log | 1.75 | 154 | 0.9559 | 0.4682 | 0.9559 | 0.9777 |
| No log | 1.7727 | 156 | 0.9347 | 0.4281 | 0.9347 | 0.9668 |
| No log | 1.7955 | 158 | 0.9336 | 0.5464 | 0.9336 | 0.9662 |
| No log | 1.8182 | 160 | 1.0751 | 0.5297 | 1.0751 | 1.0369 |
| No log | 1.8409 | 162 | 1.3334 | 0.3867 | 1.3334 | 1.1547 |
| No log | 1.8636 | 164 | 1.4273 | 0.3888 | 1.4273 | 1.1947 |
| No log | 1.8864 | 166 | 1.1584 | 0.4865 | 1.1584 | 1.0763 |
| No log | 1.9091 | 168 | 0.8880 | 0.6220 | 0.8880 | 0.9423 |
| No log | 1.9318 | 170 | 0.8328 | 0.5667 | 0.8328 | 0.9126 |
| No log | 1.9545 | 172 | 0.8730 | 0.5640 | 0.8730 | 0.9343 |
| No log | 1.9773 | 174 | 0.9841 | 0.5306 | 0.9841 | 0.9920 |
| No log | 2.0 | 176 | 1.2158 | 0.5181 | 1.2158 | 1.1026 |
| No log | 2.0227 | 178 | 1.4022 | 0.4449 | 1.4022 | 1.1842 |
| No log | 2.0455 | 180 | 1.4968 | 0.3317 | 1.4968 | 1.2234 |
| No log | 2.0682 | 182 | 1.3387 | 0.4221 | 1.3387 | 1.1570 |
| No log | 2.0909 | 184 | 1.1053 | 0.4760 | 1.1053 | 1.0513 |
| No log | 2.1136 | 186 | 1.0728 | 0.4877 | 1.0728 | 1.0358 |
| No log | 2.1364 | 188 | 1.1805 | 0.4509 | 1.1805 | 1.0865 |
| No log | 2.1591 | 190 | 1.2710 | 0.4153 | 1.2710 | 1.1274 |
| No log | 2.1818 | 192 | 1.1628 | 0.4543 | 1.1628 | 1.0783 |
| No log | 2.2045 | 194 | 0.9472 | 0.5510 | 0.9472 | 0.9732 |
| No log | 2.2273 | 196 | 0.8278 | 0.5526 | 0.8278 | 0.9098 |
| No log | 2.25 | 198 | 0.8211 | 0.5510 | 0.8211 | 0.9061 |
| No log | 2.2727 | 200 | 0.9165 | 0.5422 | 0.9165 | 0.9573 |
| No log | 2.2955 | 202 | 1.0955 | 0.5483 | 1.0955 | 1.0467 |
| No log | 2.3182 | 204 | 1.1521 | 0.5399 | 1.1521 | 1.0734 |
| No log | 2.3409 | 206 | 1.0776 | 0.5415 | 1.0776 | 1.0381 |
| No log | 2.3636 | 208 | 1.0145 | 0.5292 | 1.0145 | 1.0072 |
| No log | 2.3864 | 210 | 0.9527 | 0.5562 | 0.9527 | 0.9760 |
| No log | 2.4091 | 212 | 0.8871 | 0.5651 | 0.8871 | 0.9419 |
| No log | 2.4318 | 214 | 0.8840 | 0.5768 | 0.8840 | 0.9402 |
| No log | 2.4545 | 216 | 0.8600 | 0.5920 | 0.8600 | 0.9274 |
| No log | 2.4773 | 218 | 0.8572 | 0.5974 | 0.8572 | 0.9258 |
| No log | 2.5 | 220 | 0.8173 | 0.6236 | 0.8173 | 0.9041 |
| No log | 2.5227 | 222 | 0.7700 | 0.6342 | 0.7701 | 0.8775 |
| No log | 2.5455 | 224 | 0.7572 | 0.5965 | 0.7572 | 0.8702 |
| No log | 2.5682 | 226 | 0.7685 | 0.6373 | 0.7685 | 0.8766 |
| No log | 2.5909 | 228 | 0.7501 | 0.6609 | 0.7501 | 0.8661 |
| No log | 2.6136 | 230 | 0.8256 | 0.6227 | 0.8256 | 0.9086 |
| No log | 2.6364 | 232 | 0.9100 | 0.5753 | 0.9100 | 0.9539 |
| No log | 2.6591 | 234 | 0.8501 | 0.6223 | 0.8501 | 0.9220 |
| No log | 2.6818 | 236 | 0.7747 | 0.6409 | 0.7747 | 0.8802 |
| No log | 2.7045 | 238 | 0.7578 | 0.5740 | 0.7578 | 0.8705 |
| No log | 2.7273 | 240 | 0.7825 | 0.5116 | 0.7825 | 0.8846 |
| No log | 2.75 | 242 | 0.7957 | 0.5572 | 0.7957 | 0.8920 |
| No log | 2.7727 | 244 | 0.7926 | 0.6266 | 0.7926 | 0.8903 |
| No log | 2.7955 | 246 | 0.7811 | 0.6302 | 0.7811 | 0.8838 |
| No log | 2.8182 | 248 | 0.7790 | 0.6525 | 0.7790 | 0.8826 |
| No log | 2.8409 | 250 | 0.7791 | 0.6535 | 0.7791 | 0.8827 |
| No log | 2.8636 | 252 | 0.7780 | 0.6535 | 0.7780 | 0.8821 |
| No log | 2.8864 | 254 | 0.8327 | 0.6421 | 0.8327 | 0.9125 |
| No log | 2.9091 | 256 | 0.8828 | 0.6335 | 0.8828 | 0.9396 |
| No log | 2.9318 | 258 | 0.8522 | 0.6179 | 0.8522 | 0.9232 |
| No log | 2.9545 | 260 | 0.7991 | 0.6593 | 0.7991 | 0.8939 |
| No log | 2.9773 | 262 | 0.7322 | 0.6268 | 0.7322 | 0.8557 |
| No log | 3.0 | 264 | 0.7076 | 0.5991 | 0.7076 | 0.8412 |
| No log | 3.0227 | 266 | 0.6955 | 0.6374 | 0.6955 | 0.8340 |
| No log | 3.0455 | 268 | 0.7650 | 0.6158 | 0.7650 | 0.8747 |
| No log | 3.0682 | 270 | 0.8600 | 0.6020 | 0.8600 | 0.9274 |
| No log | 3.0909 | 272 | 0.9791 | 0.5679 | 0.9791 | 0.9895 |
| No log | 3.1136 | 274 | 0.9725 | 0.5730 | 0.9725 | 0.9862 |
| No log | 3.1364 | 276 | 0.9762 | 0.5667 | 0.9762 | 0.9880 |
| No log | 3.1591 | 278 | 1.0122 | 0.5268 | 1.0122 | 1.0061 |
| No log | 3.1818 | 280 | 0.8620 | 0.5796 | 0.8620 | 0.9285 |
| No log | 3.2045 | 282 | 0.8090 | 0.5440 | 0.8090 | 0.8994 |
| No log | 3.2273 | 284 | 0.8616 | 0.5492 | 0.8616 | 0.9282 |
| No log | 3.25 | 286 | 0.9753 | 0.5620 | 0.9753 | 0.9876 |
| No log | 3.2727 | 288 | 1.0971 | 0.5219 | 1.0971 | 1.0474 |
| No log | 3.2955 | 290 | 1.0695 | 0.5030 | 1.0695 | 1.0342 |
| No log | 3.3182 | 292 | 0.8876 | 0.5849 | 0.8876 | 0.9421 |
| No log | 3.3409 | 294 | 0.8260 | 0.6213 | 0.8260 | 0.9089 |
| No log | 3.3636 | 296 | 0.8640 | 0.6362 | 0.8640 | 0.9295 |
| No log | 3.3864 | 298 | 0.9022 | 0.6182 | 0.9022 | 0.9498 |
| No log | 3.4091 | 300 | 0.8792 | 0.6182 | 0.8792 | 0.9376 |
| No log | 3.4318 | 302 | 0.9161 | 0.6064 | 0.9161 | 0.9571 |
| No log | 3.4545 | 304 | 0.9290 | 0.5911 | 0.9290 | 0.9638 |
| No log | 3.4773 | 306 | 0.9286 | 0.5911 | 0.9286 | 0.9636 |
| No log | 3.5 | 308 | 0.9879 | 0.5594 | 0.9879 | 0.9939 |
| No log | 3.5227 | 310 | 0.9490 | 0.5956 | 0.9490 | 0.9741 |
| No log | 3.5455 | 312 | 0.8684 | 0.5840 | 0.8684 | 0.9319 |
| No log | 3.5682 | 314 | 0.7884 | 0.5709 | 0.7884 | 0.8879 |
| No log | 3.5909 | 316 | 0.7702 | 0.4796 | 0.7702 | 0.8776 |
| No log | 3.6136 | 318 | 0.7619 | 0.4833 | 0.7619 | 0.8729 |
| No log | 3.6364 | 320 | 0.7798 | 0.5291 | 0.7798 | 0.8831 |
| No log | 3.6591 | 322 | 0.9425 | 0.5989 | 0.9425 | 0.9708 |
| No log | 3.6818 | 324 | 1.2633 | 0.4779 | 1.2633 | 1.1240 |
| No log | 3.7045 | 326 | 1.4179 | 0.4578 | 1.4179 | 1.1908 |
| No log | 3.7273 | 328 | 1.2776 | 0.4566 | 1.2776 | 1.1303 |
| No log | 3.75 | 330 | 1.1321 | 0.5073 | 1.1321 | 1.0640 |
| No log | 3.7727 | 332 | 0.9718 | 0.5459 | 0.9718 | 0.9858 |
| No log | 3.7955 | 334 | 0.8969 | 0.6082 | 0.8969 | 0.9471 |
| No log | 3.8182 | 336 | 0.9335 | 0.5647 | 0.9335 | 0.9662 |
| No log | 3.8409 | 338 | 0.9780 | 0.5493 | 0.9780 | 0.9889 |
| No log | 3.8636 | 340 | 0.9522 | 0.5667 | 0.9522 | 0.9758 |
| No log | 3.8864 | 342 | 0.8769 | 0.5386 | 0.8769 | 0.9364 |
| No log | 3.9091 | 344 | 0.8205 | 0.5845 | 0.8205 | 0.9058 |
| No log | 3.9318 | 346 | 0.8044 | 0.6230 | 0.8044 | 0.8969 |
| No log | 3.9545 | 348 | 0.7995 | 0.6216 | 0.7995 | 0.8942 |
| No log | 3.9773 | 350 | 0.8013 | 0.6203 | 0.8013 | 0.8952 |
| No log | 4.0 | 352 | 0.8452 | 0.5980 | 0.8452 | 0.9193 |
| No log | 4.0227 | 354 | 0.8349 | 0.5849 | 0.8349 | 0.9137 |
| No log | 4.0455 | 356 | 0.8261 | 0.5915 | 0.8261 | 0.9089 |
| No log | 4.0682 | 358 | 0.7743 | 0.5713 | 0.7743 | 0.8800 |
| No log | 4.0909 | 360 | 0.7138 | 0.5972 | 0.7138 | 0.8449 |
| No log | 4.1136 | 362 | 0.7014 | 0.6015 | 0.7014 | 0.8375 |
| No log | 4.1364 | 364 | 0.7223 | 0.5888 | 0.7223 | 0.8499 |
| No log | 4.1591 | 366 | 0.7199 | 0.6146 | 0.7199 | 0.8484 |
| No log | 4.1818 | 368 | 0.7224 | 0.6026 | 0.7224 | 0.8499 |
| No log | 4.2045 | 370 | 0.6987 | 0.6340 | 0.6987 | 0.8359 |
| No log | 4.2273 | 372 | 0.6868 | 0.6397 | 0.6868 | 0.8287 |
| No log | 4.25 | 374 | 0.6953 | 0.6714 | 0.6953 | 0.8338 |
| No log | 4.2727 | 376 | 0.7536 | 0.6479 | 0.7536 | 0.8681 |
| No log | 4.2955 | 378 | 0.7551 | 0.6489 | 0.7551 | 0.8690 |
| No log | 4.3182 | 380 | 0.8285 | 0.6377 | 0.8285 | 0.9102 |
| No log | 4.3409 | 382 | 1.0506 | 0.5543 | 1.0506 | 1.0250 |
| No log | 4.3636 | 384 | 1.1096 | 0.5360 | 1.1096 | 1.0534 |
| No log | 4.3864 | 386 | 0.9907 | 0.5567 | 0.9907 | 0.9953 |
| No log | 4.4091 | 388 | 0.8646 | 0.5847 | 0.8646 | 0.9298 |
| No log | 4.4318 | 390 | 0.7878 | 0.6253 | 0.7878 | 0.8876 |
| No log | 4.4545 | 392 | 0.8015 | 0.6419 | 0.8015 | 0.8953 |
| No log | 4.4773 | 394 | 0.7680 | 0.6253 | 0.7680 | 0.8764 |
| No log | 4.5 | 396 | 0.7853 | 0.6427 | 0.7853 | 0.8862 |
| No log | 4.5227 | 398 | 0.8851 | 0.5807 | 0.8851 | 0.9408 |
| No log | 4.5455 | 400 | 0.9309 | 0.5625 | 0.9309 | 0.9648 |
| No log | 4.5682 | 402 | 0.9300 | 0.5560 | 0.9300 | 0.9644 |
| No log | 4.5909 | 404 | 0.8705 | 0.5880 | 0.8705 | 0.9330 |
| No log | 4.6136 | 406 | 0.8684 | 0.5880 | 0.8684 | 0.9319 |
| No log | 4.6364 | 408 | 0.8806 | 0.5919 | 0.8806 | 0.9384 |
| No log | 4.6591 | 410 | 0.9129 | 0.5863 | 0.9129 | 0.9555 |
| No log | 4.6818 | 412 | 0.8973 | 0.5894 | 0.8973 | 0.9473 |
| No log | 4.7045 | 414 | 0.8684 | 0.5784 | 0.8684 | 0.9319 |
| No log | 4.7273 | 416 | 0.8194 | 0.5974 | 0.8194 | 0.9052 |
| No log | 4.75 | 418 | 0.8054 | 0.6103 | 0.8054 | 0.8974 |
| No log | 4.7727 | 420 | 0.7816 | 0.6278 | 0.7816 | 0.8841 |
| No log | 4.7955 | 422 | 0.8054 | 0.6334 | 0.8054 | 0.8975 |
| No log | 4.8182 | 424 | 0.8153 | 0.6233 | 0.8153 | 0.9030 |
| No log | 4.8409 | 426 | 0.9075 | 0.6043 | 0.9075 | 0.9526 |
| No log | 4.8636 | 428 | 1.0297 | 0.5550 | 1.0297 | 1.0147 |
| No log | 4.8864 | 430 | 1.0112 | 0.5609 | 1.0112 | 1.0056 |
| No log | 4.9091 | 432 | 0.9075 | 0.5905 | 0.9075 | 0.9526 |
| No log | 4.9318 | 434 | 0.8860 | 0.6116 | 0.8860 | 0.9413 |
| No log | 4.9545 | 436 | 0.9650 | 0.5819 | 0.9650 | 0.9823 |
| No log | 4.9773 | 438 | 1.0982 | 0.5153 | 1.0982 | 1.0480 |
| No log | 5.0 | 440 | 1.1953 | 0.4784 | 1.1953 | 1.0933 |
| No log | 5.0227 | 442 | 1.1704 | 0.4879 | 1.1704 | 1.0819 |
| No log | 5.0455 | 444 | 1.0805 | 0.4974 | 1.0805 | 1.0395 |
| No log | 5.0682 | 446 | 0.9657 | 0.5755 | 0.9657 | 0.9827 |
| No log | 5.0909 | 448 | 0.9604 | 0.5670 | 0.9604 | 0.9800 |
| No log | 5.1136 | 450 | 1.0106 | 0.5289 | 1.0106 | 1.0053 |
| No log | 5.1364 | 452 | 1.0827 | 0.5196 | 1.0827 | 1.0406 |
| No log | 5.1591 | 454 | 1.0840 | 0.5196 | 1.0840 | 1.0412 |
| No log | 5.1818 | 456 | 1.2051 | 0.5107 | 1.2051 | 1.0978 |
| No log | 5.2045 | 458 | 1.2715 | 0.5179 | 1.2715 | 1.1276 |
| No log | 5.2273 | 460 | 1.2260 | 0.5185 | 1.2260 | 1.1073 |
| No log | 5.25 | 462 | 1.0503 | 0.5312 | 1.0503 | 1.0248 |
| No log | 5.2727 | 464 | 0.8892 | 0.6301 | 0.8892 | 0.9430 |
| No log | 5.2955 | 466 | 0.8500 | 0.6570 | 0.8500 | 0.9219 |
| No log | 5.3182 | 468 | 0.9221 | 0.5922 | 0.9221 | 0.9603 |
| No log | 5.3409 | 470 | 1.1274 | 0.5368 | 1.1274 | 1.0618 |
| No log | 5.3636 | 472 | 1.4135 | 0.4996 | 1.4135 | 1.1889 |
| No log | 5.3864 | 474 | 1.4477 | 0.4879 | 1.4477 | 1.2032 |
| No log | 5.4091 | 476 | 1.2715 | 0.4942 | 1.2715 | 1.1276 |
| No log | 5.4318 | 478 | 1.0056 | 0.5307 | 1.0056 | 1.0028 |
| No log | 5.4545 | 480 | 0.8191 | 0.6260 | 0.8191 | 0.9050 |
| No log | 5.4773 | 482 | 0.8025 | 0.6183 | 0.8025 | 0.8958 |
| No log | 5.5 | 484 | 0.8618 | 0.6030 | 0.8618 | 0.9283 |
| No log | 5.5227 | 486 | 0.9548 | 0.5730 | 0.9548 | 0.9771 |
| No log | 5.5455 | 488 | 1.0541 | 0.5247 | 1.0541 | 1.0267 |
| No log | 5.5682 | 490 | 1.0840 | 0.4992 | 1.0840 | 1.0411 |
| No log | 5.5909 | 492 | 1.0198 | 0.5446 | 1.0198 | 1.0099 |
| No log | 5.6136 | 494 | 0.9254 | 0.5940 | 0.9254 | 0.9620 |
| No log | 5.6364 | 496 | 0.8397 | 0.6516 | 0.8397 | 0.9163 |
| No log | 5.6591 | 498 | 0.7960 | 0.6292 | 0.7960 | 0.8922 |
| 0.4734 | 5.6818 | 500 | 0.8426 | 0.6179 | 0.8426 | 0.9179 |
| 0.4734 | 5.7045 | 502 | 0.9234 | 0.5880 | 0.9234 | 0.9609 |
| 0.4734 | 5.7273 | 504 | 0.8592 | 0.5918 | 0.8592 | 0.9270 |
| 0.4734 | 5.75 | 506 | 0.8299 | 0.6116 | 0.8299 | 0.9110 |
| 0.4734 | 5.7727 | 508 | 0.8818 | 0.6019 | 0.8818 | 0.9390 |
| 0.4734 | 5.7955 | 510 | 0.9418 | 0.5789 | 0.9418 | 0.9704 |
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_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task1_organization
Base model
aubmindlab/bert-base-arabertv02