Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_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_k3_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_k3_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_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: 0.8244
- Qwk: 0.6447
- Mse: 0.8244
- Rmse: 0.9079
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 | 0.1176 | 2 | 5.3971 | 0.0035 | 5.3971 | 2.3232 |
| No log | 0.2353 | 4 | 3.2997 | 0.0555 | 3.2997 | 1.8165 |
| No log | 0.3529 | 6 | 1.8405 | 0.0764 | 1.8405 | 1.3566 |
| No log | 0.4706 | 8 | 1.3277 | 0.1493 | 1.3277 | 1.1523 |
| No log | 0.5882 | 10 | 1.2154 | 0.2082 | 1.2154 | 1.1025 |
| No log | 0.7059 | 12 | 1.1616 | 0.2080 | 1.1616 | 1.0778 |
| No log | 0.8235 | 14 | 1.1758 | 0.1778 | 1.1758 | 1.0844 |
| No log | 0.9412 | 16 | 1.1813 | 0.1460 | 1.1813 | 1.0869 |
| No log | 1.0588 | 18 | 1.1886 | 0.1283 | 1.1886 | 1.0902 |
| No log | 1.1765 | 20 | 1.2083 | 0.1963 | 1.2083 | 1.0992 |
| No log | 1.2941 | 22 | 1.2640 | 0.2070 | 1.2640 | 1.1243 |
| No log | 1.4118 | 24 | 1.4093 | 0.0877 | 1.4093 | 1.1871 |
| No log | 1.5294 | 26 | 1.2677 | 0.2530 | 1.2677 | 1.1259 |
| No log | 1.6471 | 28 | 1.0989 | 0.3512 | 1.0989 | 1.0483 |
| No log | 1.7647 | 30 | 1.0933 | 0.3155 | 1.0933 | 1.0456 |
| No log | 1.8824 | 32 | 1.0571 | 0.2097 | 1.0571 | 1.0282 |
| No log | 2.0 | 34 | 1.0593 | 0.1735 | 1.0593 | 1.0292 |
| No log | 2.1176 | 36 | 1.1439 | 0.3110 | 1.1439 | 1.0695 |
| No log | 2.2353 | 38 | 1.1580 | 0.2934 | 1.1580 | 1.0761 |
| No log | 2.3529 | 40 | 1.1143 | 0.2032 | 1.1143 | 1.0556 |
| No log | 2.4706 | 42 | 1.0514 | 0.2268 | 1.0514 | 1.0254 |
| No log | 2.5882 | 44 | 1.0177 | 0.2295 | 1.0177 | 1.0088 |
| No log | 2.7059 | 46 | 0.9648 | 0.2719 | 0.9648 | 0.9822 |
| No log | 2.8235 | 48 | 0.9055 | 0.3146 | 0.9055 | 0.9516 |
| No log | 2.9412 | 50 | 0.8871 | 0.3531 | 0.8871 | 0.9418 |
| No log | 3.0588 | 52 | 0.8953 | 0.3928 | 0.8953 | 0.9462 |
| No log | 3.1765 | 54 | 0.8718 | 0.4765 | 0.8718 | 0.9337 |
| No log | 3.2941 | 56 | 0.8583 | 0.4982 | 0.8583 | 0.9265 |
| No log | 3.4118 | 58 | 0.8601 | 0.5085 | 0.8601 | 0.9274 |
| No log | 3.5294 | 60 | 0.9512 | 0.3147 | 0.9512 | 0.9753 |
| No log | 3.6471 | 62 | 1.2351 | 0.2907 | 1.2351 | 1.1113 |
| No log | 3.7647 | 64 | 1.1565 | 0.4030 | 1.1565 | 1.0754 |
| No log | 3.8824 | 66 | 0.8689 | 0.5295 | 0.8689 | 0.9322 |
| No log | 4.0 | 68 | 0.8452 | 0.5646 | 0.8452 | 0.9194 |
| No log | 4.1176 | 70 | 0.8731 | 0.5821 | 0.8731 | 0.9344 |
| No log | 4.2353 | 72 | 0.9253 | 0.5808 | 0.9253 | 0.9619 |
| No log | 4.3529 | 74 | 1.0048 | 0.5229 | 1.0048 | 1.0024 |
| No log | 4.4706 | 76 | 0.9246 | 0.5899 | 0.9246 | 0.9616 |
| No log | 4.5882 | 78 | 0.8446 | 0.6508 | 0.8446 | 0.9190 |
| No log | 4.7059 | 80 | 0.7924 | 0.6169 | 0.7924 | 0.8902 |
| No log | 4.8235 | 82 | 0.8397 | 0.5885 | 0.8397 | 0.9163 |
| No log | 4.9412 | 84 | 0.8797 | 0.5538 | 0.8797 | 0.9379 |
| No log | 5.0588 | 86 | 0.8221 | 0.6011 | 0.8221 | 0.9067 |
| No log | 5.1765 | 88 | 0.7434 | 0.6149 | 0.7434 | 0.8622 |
| No log | 5.2941 | 90 | 0.7735 | 0.6021 | 0.7735 | 0.8795 |
| No log | 5.4118 | 92 | 0.7575 | 0.6338 | 0.7575 | 0.8703 |
| No log | 5.5294 | 94 | 0.8602 | 0.6147 | 0.8602 | 0.9275 |
| No log | 5.6471 | 96 | 0.8480 | 0.5896 | 0.8480 | 0.9209 |
| No log | 5.7647 | 98 | 0.7694 | 0.6276 | 0.7694 | 0.8772 |
| No log | 5.8824 | 100 | 0.7453 | 0.6372 | 0.7453 | 0.8633 |
| No log | 6.0 | 102 | 0.7434 | 0.6247 | 0.7434 | 0.8622 |
| No log | 6.1176 | 104 | 0.7456 | 0.6247 | 0.7456 | 0.8635 |
| No log | 6.2353 | 106 | 0.7336 | 0.6278 | 0.7336 | 0.8565 |
| No log | 6.3529 | 108 | 0.7446 | 0.6093 | 0.7446 | 0.8629 |
| No log | 6.4706 | 110 | 0.8299 | 0.6381 | 0.8299 | 0.9110 |
| No log | 6.5882 | 112 | 0.7516 | 0.6538 | 0.7516 | 0.8669 |
| No log | 6.7059 | 114 | 0.9352 | 0.6076 | 0.9352 | 0.9670 |
| No log | 6.8235 | 116 | 1.1790 | 0.5133 | 1.1790 | 1.0858 |
| No log | 6.9412 | 118 | 0.9716 | 0.5743 | 0.9716 | 0.9857 |
| No log | 7.0588 | 120 | 0.7468 | 0.6822 | 0.7468 | 0.8642 |
| No log | 7.1765 | 122 | 0.6849 | 0.6757 | 0.6849 | 0.8276 |
| No log | 7.2941 | 124 | 0.6794 | 0.6418 | 0.6794 | 0.8243 |
| No log | 7.4118 | 126 | 0.6723 | 0.6508 | 0.6723 | 0.8199 |
| No log | 7.5294 | 128 | 0.7116 | 0.6715 | 0.7116 | 0.8435 |
| No log | 7.6471 | 130 | 0.7571 | 0.6726 | 0.7571 | 0.8701 |
| No log | 7.7647 | 132 | 0.9523 | 0.5866 | 0.9523 | 0.9759 |
| No log | 7.8824 | 134 | 0.9683 | 0.5831 | 0.9683 | 0.9840 |
| No log | 8.0 | 136 | 0.8155 | 0.6521 | 0.8155 | 0.9030 |
| No log | 8.1176 | 138 | 0.7174 | 0.6275 | 0.7174 | 0.8470 |
| No log | 8.2353 | 140 | 0.7363 | 0.6266 | 0.7363 | 0.8581 |
| No log | 8.3529 | 142 | 0.8341 | 0.6050 | 0.8341 | 0.9133 |
| No log | 8.4706 | 144 | 0.8634 | 0.6085 | 0.8634 | 0.9292 |
| No log | 8.5882 | 146 | 0.8447 | 0.6339 | 0.8447 | 0.9191 |
| No log | 8.7059 | 148 | 0.7169 | 0.6693 | 0.7169 | 0.8467 |
| No log | 8.8235 | 150 | 0.7023 | 0.6748 | 0.7023 | 0.8381 |
| No log | 8.9412 | 152 | 0.7532 | 0.6910 | 0.7532 | 0.8679 |
| No log | 9.0588 | 154 | 0.8183 | 0.6607 | 0.8183 | 0.9046 |
| No log | 9.1765 | 156 | 0.7787 | 0.6834 | 0.7787 | 0.8824 |
| No log | 9.2941 | 158 | 0.7133 | 0.6610 | 0.7133 | 0.8446 |
| No log | 9.4118 | 160 | 0.7235 | 0.6539 | 0.7235 | 0.8506 |
| No log | 9.5294 | 162 | 0.7907 | 0.6428 | 0.7907 | 0.8892 |
| No log | 9.6471 | 164 | 1.0101 | 0.5191 | 1.0101 | 1.0050 |
| No log | 9.7647 | 166 | 1.0023 | 0.5806 | 1.0023 | 1.0012 |
| No log | 9.8824 | 168 | 0.9130 | 0.6412 | 0.9130 | 0.9555 |
| No log | 10.0 | 170 | 0.8153 | 0.6583 | 0.8153 | 0.9029 |
| No log | 10.1176 | 172 | 0.8201 | 0.6230 | 0.8201 | 0.9056 |
| No log | 10.2353 | 174 | 0.8531 | 0.6202 | 0.8531 | 0.9236 |
| No log | 10.3529 | 176 | 1.0388 | 0.5469 | 1.0388 | 1.0192 |
| No log | 10.4706 | 178 | 1.1576 | 0.5061 | 1.1576 | 1.0759 |
| No log | 10.5882 | 180 | 0.9625 | 0.5336 | 0.9625 | 0.9811 |
| No log | 10.7059 | 182 | 0.8146 | 0.5910 | 0.8146 | 0.9025 |
| No log | 10.8235 | 184 | 0.7409 | 0.6077 | 0.7409 | 0.8608 |
| No log | 10.9412 | 186 | 0.7491 | 0.6245 | 0.7491 | 0.8655 |
| No log | 11.0588 | 188 | 0.7452 | 0.6071 | 0.7452 | 0.8633 |
| No log | 11.1765 | 190 | 0.7043 | 0.6510 | 0.7043 | 0.8392 |
| No log | 11.2941 | 192 | 0.8358 | 0.6558 | 0.8358 | 0.9142 |
| No log | 11.4118 | 194 | 0.9847 | 0.5669 | 0.9847 | 0.9923 |
| No log | 11.5294 | 196 | 0.8850 | 0.6356 | 0.8850 | 0.9407 |
| No log | 11.6471 | 198 | 0.8224 | 0.6657 | 0.8224 | 0.9069 |
| No log | 11.7647 | 200 | 0.7297 | 0.6683 | 0.7297 | 0.8542 |
| No log | 11.8824 | 202 | 0.7210 | 0.6541 | 0.7210 | 0.8491 |
| No log | 12.0 | 204 | 0.7437 | 0.6265 | 0.7437 | 0.8624 |
| No log | 12.1176 | 206 | 0.8518 | 0.6036 | 0.8518 | 0.9229 |
| No log | 12.2353 | 208 | 0.8849 | 0.6023 | 0.8849 | 0.9407 |
| No log | 12.3529 | 210 | 0.8433 | 0.6202 | 0.8433 | 0.9183 |
| No log | 12.4706 | 212 | 0.7951 | 0.6368 | 0.7951 | 0.8917 |
| No log | 12.5882 | 214 | 0.7840 | 0.6801 | 0.7840 | 0.8854 |
| No log | 12.7059 | 216 | 0.8770 | 0.6441 | 0.8770 | 0.9365 |
| No log | 12.8235 | 218 | 0.9386 | 0.6548 | 0.9386 | 0.9688 |
| No log | 12.9412 | 220 | 0.8785 | 0.6340 | 0.8785 | 0.9373 |
| No log | 13.0588 | 222 | 0.7923 | 0.6507 | 0.7923 | 0.8901 |
| No log | 13.1765 | 224 | 0.6610 | 0.6724 | 0.6610 | 0.8130 |
| No log | 13.2941 | 226 | 0.6605 | 0.6530 | 0.6605 | 0.8127 |
| No log | 13.4118 | 228 | 0.6977 | 0.6578 | 0.6977 | 0.8353 |
| No log | 13.5294 | 230 | 0.7549 | 0.6473 | 0.7549 | 0.8688 |
| No log | 13.6471 | 232 | 0.8501 | 0.6444 | 0.8501 | 0.9220 |
| No log | 13.7647 | 234 | 0.8577 | 0.6374 | 0.8577 | 0.9261 |
| No log | 13.8824 | 236 | 0.8260 | 0.6250 | 0.8260 | 0.9088 |
| No log | 14.0 | 238 | 0.8303 | 0.6327 | 0.8303 | 0.9112 |
| No log | 14.1176 | 240 | 0.8974 | 0.6226 | 0.8974 | 0.9473 |
| No log | 14.2353 | 242 | 0.9519 | 0.5829 | 0.9519 | 0.9756 |
| No log | 14.3529 | 244 | 0.8688 | 0.6264 | 0.8688 | 0.9321 |
| No log | 14.4706 | 246 | 0.8197 | 0.6560 | 0.8197 | 0.9053 |
| No log | 14.5882 | 248 | 0.7542 | 0.6617 | 0.7542 | 0.8684 |
| No log | 14.7059 | 250 | 0.7127 | 0.6776 | 0.7127 | 0.8442 |
| No log | 14.8235 | 252 | 0.6281 | 0.7079 | 0.6281 | 0.7925 |
| No log | 14.9412 | 254 | 0.6147 | 0.6926 | 0.6147 | 0.7840 |
| No log | 15.0588 | 256 | 0.6410 | 0.7451 | 0.6410 | 0.8006 |
| No log | 15.1765 | 258 | 0.6561 | 0.7255 | 0.6561 | 0.8100 |
| No log | 15.2941 | 260 | 0.6759 | 0.7048 | 0.6759 | 0.8221 |
| No log | 15.4118 | 262 | 0.6304 | 0.7040 | 0.6304 | 0.7940 |
| No log | 15.5294 | 264 | 0.6359 | 0.6862 | 0.6359 | 0.7974 |
| No log | 15.6471 | 266 | 0.6710 | 0.6785 | 0.6710 | 0.8191 |
| No log | 15.7647 | 268 | 0.7065 | 0.6765 | 0.7065 | 0.8405 |
| No log | 15.8824 | 270 | 0.7140 | 0.6835 | 0.7140 | 0.8450 |
| No log | 16.0 | 272 | 0.7496 | 0.6705 | 0.7496 | 0.8658 |
| No log | 16.1176 | 274 | 0.6880 | 0.6894 | 0.6880 | 0.8295 |
| No log | 16.2353 | 276 | 0.6794 | 0.6813 | 0.6794 | 0.8243 |
| No log | 16.3529 | 278 | 0.6969 | 0.7006 | 0.6969 | 0.8348 |
| No log | 16.4706 | 280 | 0.7519 | 0.6774 | 0.7519 | 0.8671 |
| No log | 16.5882 | 282 | 0.9041 | 0.6165 | 0.9041 | 0.9508 |
| No log | 16.7059 | 284 | 1.1317 | 0.5031 | 1.1317 | 1.0638 |
| No log | 16.8235 | 286 | 1.0886 | 0.5031 | 1.0886 | 1.0434 |
| No log | 16.9412 | 288 | 0.9811 | 0.6158 | 0.9811 | 0.9905 |
| No log | 17.0588 | 290 | 0.9159 | 0.6241 | 0.9159 | 0.9570 |
| No log | 17.1765 | 292 | 0.8281 | 0.6426 | 0.8281 | 0.9100 |
| No log | 17.2941 | 294 | 0.7936 | 0.6608 | 0.7936 | 0.8908 |
| No log | 17.4118 | 296 | 0.7322 | 0.6804 | 0.7322 | 0.8557 |
| No log | 17.5294 | 298 | 0.7012 | 0.6731 | 0.7012 | 0.8374 |
| No log | 17.6471 | 300 | 0.7466 | 0.6431 | 0.7466 | 0.8641 |
| No log | 17.7647 | 302 | 0.9573 | 0.5819 | 0.9573 | 0.9784 |
| No log | 17.8824 | 304 | 1.1370 | 0.5341 | 1.1370 | 1.0663 |
| No log | 18.0 | 306 | 1.0496 | 0.5423 | 1.0496 | 1.0245 |
| No log | 18.1176 | 308 | 0.8496 | 0.5947 | 0.8496 | 0.9218 |
| No log | 18.2353 | 310 | 0.7603 | 0.6677 | 0.7603 | 0.8720 |
| No log | 18.3529 | 312 | 0.6756 | 0.6641 | 0.6756 | 0.8220 |
| No log | 18.4706 | 314 | 0.6604 | 0.6640 | 0.6604 | 0.8126 |
| No log | 18.5882 | 316 | 0.6905 | 0.6878 | 0.6905 | 0.8310 |
| No log | 18.7059 | 318 | 0.8176 | 0.6667 | 0.8176 | 0.9042 |
| No log | 18.8235 | 320 | 0.9934 | 0.6230 | 0.9934 | 0.9967 |
| No log | 18.9412 | 322 | 0.9090 | 0.6222 | 0.9090 | 0.9534 |
| No log | 19.0588 | 324 | 0.7624 | 0.6665 | 0.7624 | 0.8732 |
| No log | 19.1765 | 326 | 0.6728 | 0.6809 | 0.6728 | 0.8203 |
| No log | 19.2941 | 328 | 0.6351 | 0.6599 | 0.6351 | 0.7969 |
| No log | 19.4118 | 330 | 0.6366 | 0.6740 | 0.6366 | 0.7979 |
| No log | 19.5294 | 332 | 0.6590 | 0.6510 | 0.6590 | 0.8118 |
| No log | 19.6471 | 334 | 0.7776 | 0.6486 | 0.7776 | 0.8818 |
| No log | 19.7647 | 336 | 0.8383 | 0.6285 | 0.8383 | 0.9156 |
| No log | 19.8824 | 338 | 0.7832 | 0.6517 | 0.7832 | 0.8850 |
| No log | 20.0 | 340 | 0.7799 | 0.6303 | 0.7799 | 0.8831 |
| No log | 20.1176 | 342 | 0.8046 | 0.6512 | 0.8046 | 0.8970 |
| No log | 20.2353 | 344 | 0.8967 | 0.6074 | 0.8967 | 0.9469 |
| No log | 20.3529 | 346 | 0.9438 | 0.6004 | 0.9438 | 0.9715 |
| No log | 20.4706 | 348 | 0.9020 | 0.5998 | 0.9020 | 0.9497 |
| No log | 20.5882 | 350 | 0.8057 | 0.6368 | 0.8057 | 0.8976 |
| No log | 20.7059 | 352 | 0.7211 | 0.6879 | 0.7211 | 0.8492 |
| No log | 20.8235 | 354 | 0.7050 | 0.6812 | 0.7050 | 0.8396 |
| No log | 20.9412 | 356 | 0.6886 | 0.6989 | 0.6886 | 0.8298 |
| No log | 21.0588 | 358 | 0.7595 | 0.6283 | 0.7595 | 0.8715 |
| No log | 21.1765 | 360 | 0.8107 | 0.6122 | 0.8107 | 0.9004 |
| No log | 21.2941 | 362 | 0.7579 | 0.6445 | 0.7579 | 0.8706 |
| No log | 21.4118 | 364 | 0.7588 | 0.6543 | 0.7588 | 0.8711 |
| No log | 21.5294 | 366 | 0.8339 | 0.6074 | 0.8339 | 0.9132 |
| No log | 21.6471 | 368 | 0.9678 | 0.6328 | 0.9678 | 0.9838 |
| No log | 21.7647 | 370 | 1.0096 | 0.6194 | 1.0096 | 1.0048 |
| No log | 21.8824 | 372 | 0.8757 | 0.6379 | 0.8757 | 0.9358 |
| No log | 22.0 | 374 | 0.7123 | 0.6534 | 0.7123 | 0.8440 |
| No log | 22.1176 | 376 | 0.6675 | 0.6664 | 0.6675 | 0.8170 |
| No log | 22.2353 | 378 | 0.7123 | 0.6571 | 0.7123 | 0.8440 |
| No log | 22.3529 | 380 | 0.8211 | 0.6359 | 0.8211 | 0.9061 |
| No log | 22.4706 | 382 | 0.9010 | 0.6068 | 0.9010 | 0.9492 |
| No log | 22.5882 | 384 | 0.9156 | 0.6004 | 0.9156 | 0.9569 |
| No log | 22.7059 | 386 | 0.8502 | 0.6342 | 0.8502 | 0.9221 |
| No log | 22.8235 | 388 | 0.7709 | 0.6338 | 0.7709 | 0.8780 |
| No log | 22.9412 | 390 | 0.7772 | 0.6327 | 0.7772 | 0.8816 |
| No log | 23.0588 | 392 | 0.7294 | 0.6807 | 0.7294 | 0.8540 |
| No log | 23.1765 | 394 | 0.7118 | 0.6741 | 0.7118 | 0.8437 |
| No log | 23.2941 | 396 | 0.7801 | 0.6357 | 0.7801 | 0.8832 |
| No log | 23.4118 | 398 | 0.8476 | 0.6183 | 0.8476 | 0.9207 |
| No log | 23.5294 | 400 | 0.9654 | 0.5695 | 0.9654 | 0.9826 |
| No log | 23.6471 | 402 | 1.0117 | 0.5795 | 1.0117 | 1.0058 |
| No log | 23.7647 | 404 | 0.9931 | 0.5772 | 0.9931 | 0.9965 |
| No log | 23.8824 | 406 | 0.9421 | 0.5947 | 0.9421 | 0.9706 |
| No log | 24.0 | 408 | 0.8893 | 0.6218 | 0.8893 | 0.9430 |
| No log | 24.1176 | 410 | 0.8059 | 0.6551 | 0.8059 | 0.8977 |
| No log | 24.2353 | 412 | 0.7532 | 0.6707 | 0.7532 | 0.8679 |
| No log | 24.3529 | 414 | 0.7812 | 0.6740 | 0.7812 | 0.8838 |
| No log | 24.4706 | 416 | 0.9153 | 0.6393 | 0.9153 | 0.9567 |
| No log | 24.5882 | 418 | 1.0479 | 0.6033 | 1.0479 | 1.0236 |
| No log | 24.7059 | 420 | 1.0226 | 0.5756 | 1.0226 | 1.0112 |
| No log | 24.8235 | 422 | 0.8546 | 0.6252 | 0.8546 | 0.9245 |
| No log | 24.9412 | 424 | 0.7321 | 0.6298 | 0.7321 | 0.8556 |
| No log | 25.0588 | 426 | 0.6971 | 0.6115 | 0.6971 | 0.8349 |
| No log | 25.1765 | 428 | 0.7142 | 0.5949 | 0.7142 | 0.8451 |
| No log | 25.2941 | 430 | 0.8130 | 0.6126 | 0.8130 | 0.9016 |
| No log | 25.4118 | 432 | 0.9583 | 0.6016 | 0.9583 | 0.9789 |
| No log | 25.5294 | 434 | 0.9752 | 0.6026 | 0.9752 | 0.9875 |
| No log | 25.6471 | 436 | 0.8900 | 0.6069 | 0.8900 | 0.9434 |
| No log | 25.7647 | 438 | 0.7848 | 0.6279 | 0.7848 | 0.8859 |
| No log | 25.8824 | 440 | 0.7213 | 0.6409 | 0.7213 | 0.8493 |
| No log | 26.0 | 442 | 0.7140 | 0.6463 | 0.7140 | 0.8450 |
| No log | 26.1176 | 444 | 0.7403 | 0.6433 | 0.7403 | 0.8604 |
| No log | 26.2353 | 446 | 0.7316 | 0.6593 | 0.7316 | 0.8553 |
| No log | 26.3529 | 448 | 0.7299 | 0.6484 | 0.7299 | 0.8543 |
| No log | 26.4706 | 450 | 0.7277 | 0.6458 | 0.7277 | 0.8530 |
| No log | 26.5882 | 452 | 0.7113 | 0.6217 | 0.7113 | 0.8434 |
| No log | 26.7059 | 454 | 0.6856 | 0.6525 | 0.6856 | 0.8280 |
| No log | 26.8235 | 456 | 0.6703 | 0.6395 | 0.6703 | 0.8187 |
| No log | 26.9412 | 458 | 0.6686 | 0.6469 | 0.6686 | 0.8177 |
| No log | 27.0588 | 460 | 0.6838 | 0.6532 | 0.6838 | 0.8269 |
| No log | 27.1765 | 462 | 0.7286 | 0.6387 | 0.7286 | 0.8536 |
| No log | 27.2941 | 464 | 0.7556 | 0.6727 | 0.7556 | 0.8692 |
| No log | 27.4118 | 466 | 0.7700 | 0.7031 | 0.7700 | 0.8775 |
| No log | 27.5294 | 468 | 0.7447 | 0.7136 | 0.7447 | 0.8629 |
| No log | 27.6471 | 470 | 0.7011 | 0.6933 | 0.7011 | 0.8373 |
| No log | 27.7647 | 472 | 0.6961 | 0.6599 | 0.6961 | 0.8343 |
| No log | 27.8824 | 474 | 0.7259 | 0.6622 | 0.7259 | 0.8520 |
| No log | 28.0 | 476 | 0.7100 | 0.6565 | 0.7100 | 0.8426 |
| No log | 28.1176 | 478 | 0.7055 | 0.6620 | 0.7055 | 0.8400 |
| No log | 28.2353 | 480 | 0.6767 | 0.6574 | 0.6767 | 0.8226 |
| No log | 28.3529 | 482 | 0.6623 | 0.6519 | 0.6623 | 0.8138 |
| No log | 28.4706 | 484 | 0.6749 | 0.6599 | 0.6749 | 0.8216 |
| No log | 28.5882 | 486 | 0.7202 | 0.6634 | 0.7202 | 0.8487 |
| No log | 28.7059 | 488 | 0.6984 | 0.6737 | 0.6984 | 0.8357 |
| No log | 28.8235 | 490 | 0.7002 | 0.6737 | 0.7002 | 0.8368 |
| No log | 28.9412 | 492 | 0.7035 | 0.6686 | 0.7035 | 0.8388 |
| No log | 29.0588 | 494 | 0.7645 | 0.6459 | 0.7645 | 0.8744 |
| No log | 29.1765 | 496 | 0.8260 | 0.6252 | 0.8260 | 0.9088 |
| No log | 29.2941 | 498 | 0.8172 | 0.6340 | 0.8172 | 0.9040 |
| 0.3935 | 29.4118 | 500 | 0.7484 | 0.6635 | 0.7484 | 0.8651 |
| 0.3935 | 29.5294 | 502 | 0.6872 | 0.6653 | 0.6872 | 0.8290 |
| 0.3935 | 29.6471 | 504 | 0.6863 | 0.6705 | 0.6863 | 0.8284 |
| 0.3935 | 29.7647 | 506 | 0.7470 | 0.6866 | 0.7470 | 0.8643 |
| 0.3935 | 29.8824 | 508 | 0.9416 | 0.6290 | 0.9416 | 0.9704 |
| 0.3935 | 30.0 | 510 | 1.1123 | 0.6007 | 1.1123 | 1.0547 |
| 0.3935 | 30.1176 | 512 | 1.1756 | 0.5816 | 1.1756 | 1.0843 |
| 0.3935 | 30.2353 | 514 | 1.0556 | 0.6117 | 1.0556 | 1.0274 |
| 0.3935 | 30.3529 | 516 | 0.8244 | 0.6447 | 0.8244 | 0.9079 |
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_k3_task1_organization
Base model
aubmindlab/bert-base-arabertv02