Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_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_k18_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_k18_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_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: 1.1524
- Qwk: 0.3286
- Mse: 1.1524
- Rmse: 1.0735
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 | 0.0238 | 2 | 4.1881 | -0.0124 | 4.1881 | 2.0465 |
| No log | 0.0476 | 4 | 2.0975 | 0.0357 | 2.0975 | 1.4483 |
| No log | 0.0714 | 6 | 1.5228 | 0.0839 | 1.5228 | 1.2340 |
| No log | 0.0952 | 8 | 1.1761 | 0.1822 | 1.1761 | 1.0845 |
| No log | 0.1190 | 10 | 1.0591 | 0.1321 | 1.0591 | 1.0291 |
| No log | 0.1429 | 12 | 1.0683 | 0.2692 | 1.0683 | 1.0336 |
| No log | 0.1667 | 14 | 1.1643 | 0.1631 | 1.1643 | 1.0790 |
| No log | 0.1905 | 16 | 1.3778 | 0.1238 | 1.3778 | 1.1738 |
| No log | 0.2143 | 18 | 2.0017 | 0.0418 | 2.0017 | 1.4148 |
| No log | 0.2381 | 20 | 2.0340 | 0.0516 | 2.0340 | 1.4262 |
| No log | 0.2619 | 22 | 1.5517 | 0.1321 | 1.5517 | 1.2457 |
| No log | 0.2857 | 24 | 1.2858 | 0.0020 | 1.2858 | 1.1339 |
| No log | 0.3095 | 26 | 1.1453 | 0.2448 | 1.1453 | 1.0702 |
| No log | 0.3333 | 28 | 1.1666 | 0.1840 | 1.1666 | 1.0801 |
| No log | 0.3571 | 30 | 1.2976 | 0.2122 | 1.2976 | 1.1391 |
| No log | 0.3810 | 32 | 2.2158 | 0.1463 | 2.2158 | 1.4885 |
| No log | 0.4048 | 34 | 2.6701 | 0.0435 | 2.6701 | 1.6340 |
| No log | 0.4286 | 36 | 2.1216 | 0.1253 | 2.1216 | 1.4566 |
| No log | 0.4524 | 38 | 1.3978 | 0.2747 | 1.3978 | 1.1823 |
| No log | 0.4762 | 40 | 1.1612 | 0.1935 | 1.1612 | 1.0776 |
| No log | 0.5 | 42 | 1.1505 | 0.2121 | 1.1505 | 1.0726 |
| No log | 0.5238 | 44 | 1.1492 | 0.2475 | 1.1492 | 1.0720 |
| No log | 0.5476 | 46 | 1.2018 | 0.2650 | 1.2018 | 1.0963 |
| No log | 0.5714 | 48 | 1.1944 | 0.2650 | 1.1944 | 1.0929 |
| No log | 0.5952 | 50 | 1.1984 | 0.1958 | 1.1984 | 1.0947 |
| No log | 0.6190 | 52 | 1.2046 | 0.1615 | 1.2046 | 1.0975 |
| No log | 0.6429 | 54 | 1.2282 | 0.2735 | 1.2282 | 1.1083 |
| No log | 0.6667 | 56 | 1.4082 | 0.1758 | 1.4082 | 1.1867 |
| No log | 0.6905 | 58 | 1.6356 | 0.1372 | 1.6356 | 1.2789 |
| No log | 0.7143 | 60 | 1.5216 | 0.1324 | 1.5216 | 1.2335 |
| No log | 0.7381 | 62 | 1.4015 | 0.2275 | 1.4015 | 1.1839 |
| No log | 0.7619 | 64 | 1.3876 | 0.2002 | 1.3876 | 1.1780 |
| No log | 0.7857 | 66 | 1.1456 | 0.2464 | 1.1456 | 1.0703 |
| No log | 0.8095 | 68 | 1.0584 | 0.3311 | 1.0584 | 1.0288 |
| No log | 0.8333 | 70 | 1.1637 | 0.2822 | 1.1637 | 1.0787 |
| No log | 0.8571 | 72 | 1.3391 | 0.2252 | 1.3391 | 1.1572 |
| No log | 0.8810 | 74 | 1.4319 | 0.2386 | 1.4319 | 1.1966 |
| No log | 0.9048 | 76 | 1.4284 | 0.2874 | 1.4284 | 1.1951 |
| No log | 0.9286 | 78 | 1.5528 | 0.2593 | 1.5528 | 1.2461 |
| No log | 0.9524 | 80 | 1.6456 | 0.2545 | 1.6456 | 1.2828 |
| No log | 0.9762 | 82 | 1.5656 | 0.2611 | 1.5656 | 1.2512 |
| No log | 1.0 | 84 | 1.5613 | 0.2488 | 1.5613 | 1.2495 |
| No log | 1.0238 | 86 | 1.4953 | 0.2384 | 1.4953 | 1.2228 |
| No log | 1.0476 | 88 | 1.2550 | 0.2031 | 1.2550 | 1.1203 |
| No log | 1.0714 | 90 | 1.1501 | 0.2650 | 1.1501 | 1.0724 |
| No log | 1.0952 | 92 | 1.0933 | 0.3321 | 1.0933 | 1.0456 |
| No log | 1.1190 | 94 | 1.0612 | 0.3177 | 1.0612 | 1.0302 |
| No log | 1.1429 | 96 | 1.0219 | 0.3533 | 1.0219 | 1.0109 |
| No log | 1.1667 | 98 | 1.0092 | 0.3022 | 1.0092 | 1.0046 |
| No log | 1.1905 | 100 | 1.1297 | 0.3482 | 1.1297 | 1.0629 |
| No log | 1.2143 | 102 | 1.3736 | 0.2943 | 1.3736 | 1.1720 |
| No log | 1.2381 | 104 | 1.6232 | 0.2489 | 1.6232 | 1.2740 |
| No log | 1.2619 | 106 | 1.9019 | 0.1714 | 1.9019 | 1.3791 |
| No log | 1.2857 | 108 | 1.8902 | 0.1290 | 1.8902 | 1.3748 |
| No log | 1.3095 | 110 | 1.9173 | 0.1508 | 1.9173 | 1.3847 |
| No log | 1.3333 | 112 | 1.8977 | 0.1789 | 1.8977 | 1.3776 |
| No log | 1.3571 | 114 | 1.7117 | 0.1985 | 1.7117 | 1.3083 |
| No log | 1.3810 | 116 | 1.4542 | 0.2836 | 1.4542 | 1.2059 |
| No log | 1.4048 | 118 | 1.3221 | 0.3776 | 1.3221 | 1.1498 |
| No log | 1.4286 | 120 | 1.1428 | 0.3558 | 1.1428 | 1.0690 |
| No log | 1.4524 | 122 | 1.0261 | 0.4364 | 1.0261 | 1.0130 |
| No log | 1.4762 | 124 | 0.9890 | 0.4145 | 0.9890 | 0.9945 |
| No log | 1.5 | 126 | 1.0171 | 0.4165 | 1.0171 | 1.0085 |
| No log | 1.5238 | 128 | 1.0585 | 0.3678 | 1.0585 | 1.0288 |
| No log | 1.5476 | 130 | 1.1223 | 0.3623 | 1.1223 | 1.0594 |
| No log | 1.5714 | 132 | 1.1934 | 0.2894 | 1.1934 | 1.0924 |
| No log | 1.5952 | 134 | 1.1514 | 0.3613 | 1.1514 | 1.0730 |
| No log | 1.6190 | 136 | 1.1407 | 0.3870 | 1.1407 | 1.0681 |
| No log | 1.6429 | 138 | 1.0284 | 0.3572 | 1.0284 | 1.0141 |
| No log | 1.6667 | 140 | 0.9765 | 0.4805 | 0.9765 | 0.9882 |
| No log | 1.6905 | 142 | 1.0131 | 0.4996 | 1.0131 | 1.0065 |
| No log | 1.7143 | 144 | 0.9992 | 0.4805 | 0.9992 | 0.9996 |
| No log | 1.7381 | 146 | 1.0332 | 0.4128 | 1.0332 | 1.0164 |
| No log | 1.7619 | 148 | 1.2236 | 0.3351 | 1.2236 | 1.1062 |
| No log | 1.7857 | 150 | 1.2742 | 0.3671 | 1.2742 | 1.1288 |
| No log | 1.8095 | 152 | 1.1079 | 0.3194 | 1.1079 | 1.0526 |
| No log | 1.8333 | 154 | 1.0203 | 0.4946 | 1.0203 | 1.0101 |
| No log | 1.8571 | 156 | 1.0430 | 0.4774 | 1.0430 | 1.0213 |
| No log | 1.8810 | 158 | 1.1409 | 0.3817 | 1.1409 | 1.0681 |
| No log | 1.9048 | 160 | 1.1655 | 0.3133 | 1.1655 | 1.0796 |
| No log | 1.9286 | 162 | 1.0407 | 0.3704 | 1.0407 | 1.0201 |
| No log | 1.9524 | 164 | 0.9978 | 0.4488 | 0.9978 | 0.9989 |
| No log | 1.9762 | 166 | 1.0249 | 0.4381 | 1.0249 | 1.0124 |
| No log | 2.0 | 168 | 1.0144 | 0.4254 | 1.0144 | 1.0071 |
| No log | 2.0238 | 170 | 0.9900 | 0.3965 | 0.9900 | 0.9950 |
| No log | 2.0476 | 172 | 1.0130 | 0.3809 | 1.0130 | 1.0065 |
| No log | 2.0714 | 174 | 1.0602 | 0.4058 | 1.0602 | 1.0297 |
| No log | 2.0952 | 176 | 1.0560 | 0.3878 | 1.0560 | 1.0276 |
| No log | 2.1190 | 178 | 1.0360 | 0.3987 | 1.0360 | 1.0178 |
| No log | 2.1429 | 180 | 0.9589 | 0.4989 | 0.9589 | 0.9792 |
| No log | 2.1667 | 182 | 0.9095 | 0.5439 | 0.9095 | 0.9537 |
| No log | 2.1905 | 184 | 0.9178 | 0.5439 | 0.9178 | 0.9580 |
| No log | 2.2143 | 186 | 0.9240 | 0.5632 | 0.9240 | 0.9613 |
| No log | 2.2381 | 188 | 0.9304 | 0.4370 | 0.9304 | 0.9646 |
| No log | 2.2619 | 190 | 0.9187 | 0.4523 | 0.9187 | 0.9585 |
| No log | 2.2857 | 192 | 0.8918 | 0.5216 | 0.8918 | 0.9444 |
| No log | 2.3095 | 194 | 0.9357 | 0.5186 | 0.9357 | 0.9673 |
| No log | 2.3333 | 196 | 0.9034 | 0.5212 | 0.9034 | 0.9505 |
| No log | 2.3571 | 198 | 0.9027 | 0.5115 | 0.9027 | 0.9501 |
| No log | 2.3810 | 200 | 0.8846 | 0.4676 | 0.8846 | 0.9405 |
| No log | 2.4048 | 202 | 0.8563 | 0.4585 | 0.8563 | 0.9254 |
| No log | 2.4286 | 204 | 0.8543 | 0.4361 | 0.8543 | 0.9243 |
| No log | 2.4524 | 206 | 0.8476 | 0.4245 | 0.8476 | 0.9206 |
| No log | 2.4762 | 208 | 0.8690 | 0.5111 | 0.8690 | 0.9322 |
| No log | 2.5 | 210 | 0.9575 | 0.4532 | 0.9575 | 0.9785 |
| No log | 2.5238 | 212 | 0.9912 | 0.4196 | 0.9912 | 0.9956 |
| No log | 2.5476 | 214 | 1.0373 | 0.3549 | 1.0373 | 1.0185 |
| No log | 2.5714 | 216 | 1.0925 | 0.3778 | 1.0925 | 1.0452 |
| No log | 2.5952 | 218 | 1.0928 | 0.3811 | 1.0928 | 1.0454 |
| No log | 2.6190 | 220 | 1.0569 | 0.4368 | 1.0569 | 1.0280 |
| No log | 2.6429 | 222 | 1.1153 | 0.3355 | 1.1153 | 1.0561 |
| No log | 2.6667 | 224 | 1.1780 | 0.3617 | 1.1780 | 1.0854 |
| No log | 2.6905 | 226 | 1.1764 | 0.3219 | 1.1764 | 1.0846 |
| No log | 2.7143 | 228 | 1.1718 | 0.3462 | 1.1718 | 1.0825 |
| No log | 2.7381 | 230 | 1.0704 | 0.4772 | 1.0704 | 1.0346 |
| No log | 2.7619 | 232 | 1.0021 | 0.4916 | 1.0021 | 1.0011 |
| No log | 2.7857 | 234 | 0.9853 | 0.4705 | 0.9853 | 0.9926 |
| No log | 2.8095 | 236 | 0.9770 | 0.4930 | 0.9770 | 0.9884 |
| No log | 2.8333 | 238 | 1.0053 | 0.5115 | 1.0053 | 1.0026 |
| No log | 2.8571 | 240 | 1.0743 | 0.3812 | 1.0743 | 1.0365 |
| No log | 2.8810 | 242 | 1.0414 | 0.4440 | 1.0414 | 1.0205 |
| No log | 2.9048 | 244 | 0.9594 | 0.4915 | 0.9594 | 0.9795 |
| No log | 2.9286 | 246 | 0.9245 | 0.5275 | 0.9245 | 0.9615 |
| No log | 2.9524 | 248 | 0.9220 | 0.4920 | 0.9220 | 0.9602 |
| No log | 2.9762 | 250 | 0.9794 | 0.4776 | 0.9794 | 0.9896 |
| No log | 3.0 | 252 | 1.1343 | 0.3232 | 1.1343 | 1.0650 |
| No log | 3.0238 | 254 | 1.1782 | 0.3243 | 1.1782 | 1.0855 |
| No log | 3.0476 | 256 | 1.0864 | 0.4572 | 1.0864 | 1.0423 |
| No log | 3.0714 | 258 | 1.0255 | 0.4996 | 1.0255 | 1.0127 |
| No log | 3.0952 | 260 | 1.0115 | 0.5206 | 1.0115 | 1.0057 |
| No log | 3.1190 | 262 | 1.0362 | 0.5086 | 1.0362 | 1.0179 |
| No log | 3.1429 | 264 | 1.0672 | 0.4972 | 1.0672 | 1.0331 |
| No log | 3.1667 | 266 | 1.0711 | 0.4996 | 1.0711 | 1.0350 |
| No log | 3.1905 | 268 | 1.1126 | 0.4651 | 1.1126 | 1.0548 |
| No log | 3.2143 | 270 | 1.0946 | 0.4261 | 1.0946 | 1.0462 |
| No log | 3.2381 | 272 | 1.0669 | 0.4996 | 1.0669 | 1.0329 |
| No log | 3.2619 | 274 | 1.0373 | 0.4785 | 1.0373 | 1.0185 |
| No log | 3.2857 | 276 | 1.0039 | 0.4819 | 1.0039 | 1.0020 |
| No log | 3.3095 | 278 | 0.9976 | 0.4780 | 0.9976 | 0.9988 |
| No log | 3.3333 | 280 | 1.0314 | 0.3892 | 1.0314 | 1.0156 |
| No log | 3.3571 | 282 | 1.0046 | 0.4662 | 1.0046 | 1.0023 |
| No log | 3.3810 | 284 | 0.9832 | 0.4778 | 0.9832 | 0.9916 |
| No log | 3.4048 | 286 | 0.9633 | 0.4676 | 0.9633 | 0.9815 |
| No log | 3.4286 | 288 | 0.9840 | 0.4211 | 0.9840 | 0.9919 |
| No log | 3.4524 | 290 | 1.0242 | 0.3930 | 1.0242 | 1.0120 |
| No log | 3.4762 | 292 | 1.1072 | 0.3759 | 1.1072 | 1.0522 |
| No log | 3.5 | 294 | 1.0844 | 0.3424 | 1.0844 | 1.0413 |
| No log | 3.5238 | 296 | 1.0252 | 0.3424 | 1.0252 | 1.0125 |
| No log | 3.5476 | 298 | 0.9835 | 0.3621 | 0.9835 | 0.9917 |
| No log | 3.5714 | 300 | 0.9751 | 0.3786 | 0.9751 | 0.9875 |
| No log | 3.5952 | 302 | 0.9593 | 0.4555 | 0.9593 | 0.9794 |
| No log | 3.6190 | 304 | 0.9557 | 0.4676 | 0.9557 | 0.9776 |
| No log | 3.6429 | 306 | 0.9468 | 0.4213 | 0.9468 | 0.9730 |
| No log | 3.6667 | 308 | 0.9694 | 0.3183 | 0.9694 | 0.9846 |
| No log | 3.6905 | 310 | 0.9671 | 0.3080 | 0.9671 | 0.9834 |
| No log | 3.7143 | 312 | 0.9621 | 0.3132 | 0.9621 | 0.9809 |
| No log | 3.7381 | 314 | 0.9356 | 0.3983 | 0.9356 | 0.9672 |
| No log | 3.7619 | 316 | 0.9316 | 0.3839 | 0.9316 | 0.9652 |
| No log | 3.7857 | 318 | 1.0019 | 0.4037 | 1.0019 | 1.0009 |
| No log | 3.8095 | 320 | 1.0085 | 0.3250 | 1.0085 | 1.0042 |
| No log | 3.8333 | 322 | 1.0062 | 0.3250 | 1.0062 | 1.0031 |
| No log | 3.8571 | 324 | 1.0325 | 0.3230 | 1.0325 | 1.0161 |
| No log | 3.8810 | 326 | 0.9856 | 0.3639 | 0.9856 | 0.9928 |
| No log | 3.9048 | 328 | 0.8986 | 0.3711 | 0.8986 | 0.9480 |
| No log | 3.9286 | 330 | 0.8688 | 0.3685 | 0.8688 | 0.9321 |
| No log | 3.9524 | 332 | 0.8741 | 0.3633 | 0.8741 | 0.9349 |
| No log | 3.9762 | 334 | 0.8570 | 0.3966 | 0.8570 | 0.9257 |
| No log | 4.0 | 336 | 0.9350 | 0.4526 | 0.9350 | 0.9669 |
| No log | 4.0238 | 338 | 1.1478 | 0.4249 | 1.1478 | 1.0713 |
| No log | 4.0476 | 340 | 1.1017 | 0.4222 | 1.1017 | 1.0496 |
| No log | 4.0714 | 342 | 0.9290 | 0.2972 | 0.9290 | 0.9638 |
| No log | 4.0952 | 344 | 0.8878 | 0.2122 | 0.8878 | 0.9423 |
| No log | 4.1190 | 346 | 0.8706 | 0.2528 | 0.8706 | 0.9330 |
| No log | 4.1429 | 348 | 0.8765 | 0.2031 | 0.8765 | 0.9362 |
| No log | 4.1667 | 350 | 0.9108 | 0.3005 | 0.9108 | 0.9544 |
| No log | 4.1905 | 352 | 0.9445 | 0.3558 | 0.9445 | 0.9718 |
| No log | 4.2143 | 354 | 0.9183 | 0.4159 | 0.9183 | 0.9583 |
| No log | 4.2381 | 356 | 0.8921 | 0.3932 | 0.8921 | 0.9445 |
| No log | 4.2619 | 358 | 0.9108 | 0.4252 | 0.9108 | 0.9543 |
| No log | 4.2857 | 360 | 0.9216 | 0.3559 | 0.9216 | 0.9600 |
| No log | 4.3095 | 362 | 0.9546 | 0.3931 | 0.9546 | 0.9770 |
| No log | 4.3333 | 364 | 1.0051 | 0.4159 | 1.0051 | 1.0026 |
| No log | 4.3571 | 366 | 0.9775 | 0.3914 | 0.9775 | 0.9887 |
| No log | 4.3810 | 368 | 0.9234 | 0.3565 | 0.9234 | 0.9609 |
| No log | 4.4048 | 370 | 0.9648 | 0.3879 | 0.9648 | 0.9823 |
| No log | 4.4286 | 372 | 0.9737 | 0.3990 | 0.9737 | 0.9868 |
| No log | 4.4524 | 374 | 0.9401 | 0.4039 | 0.9401 | 0.9696 |
| No log | 4.4762 | 376 | 0.9146 | 0.3408 | 0.9146 | 0.9563 |
| No log | 4.5 | 378 | 0.9804 | 0.3914 | 0.9804 | 0.9901 |
| No log | 4.5238 | 380 | 1.0051 | 0.3790 | 1.0051 | 1.0025 |
| No log | 4.5476 | 382 | 0.9888 | 0.4282 | 0.9888 | 0.9944 |
| No log | 4.5714 | 384 | 1.0212 | 0.4098 | 1.0212 | 1.0106 |
| No log | 4.5952 | 386 | 1.0064 | 0.4102 | 1.0064 | 1.0032 |
| No log | 4.6190 | 388 | 0.9814 | 0.3609 | 0.9814 | 0.9906 |
| No log | 4.6429 | 390 | 0.9775 | 0.3841 | 0.9775 | 0.9887 |
| No log | 4.6667 | 392 | 0.9330 | 0.3263 | 0.9330 | 0.9659 |
| No log | 4.6905 | 394 | 0.9195 | 0.3548 | 0.9195 | 0.9589 |
| No log | 4.7143 | 396 | 0.9386 | 0.3753 | 0.9386 | 0.9688 |
| No log | 4.7381 | 398 | 0.9446 | 0.5124 | 0.9446 | 0.9719 |
| No log | 4.7619 | 400 | 1.0620 | 0.4321 | 1.0620 | 1.0305 |
| No log | 4.7857 | 402 | 1.0774 | 0.4321 | 1.0774 | 1.0380 |
| No log | 4.8095 | 404 | 1.0143 | 0.4410 | 1.0143 | 1.0071 |
| No log | 4.8333 | 406 | 1.0134 | 0.4649 | 1.0134 | 1.0067 |
| No log | 4.8571 | 408 | 1.0788 | 0.4306 | 1.0788 | 1.0387 |
| No log | 4.8810 | 410 | 1.0298 | 0.3824 | 1.0298 | 1.0148 |
| No log | 4.9048 | 412 | 0.9920 | 0.4039 | 0.9920 | 0.9960 |
| No log | 4.9286 | 414 | 0.9871 | 0.3399 | 0.9871 | 0.9935 |
| No log | 4.9524 | 416 | 1.0230 | 0.3409 | 1.0230 | 1.0114 |
| No log | 4.9762 | 418 | 1.0906 | 0.3519 | 1.0906 | 1.0443 |
| No log | 5.0 | 420 | 1.2431 | 0.3401 | 1.2431 | 1.1149 |
| No log | 5.0238 | 422 | 1.2881 | 0.3424 | 1.2881 | 1.1349 |
| No log | 5.0476 | 424 | 1.1895 | 0.3384 | 1.1895 | 1.0906 |
| No log | 5.0714 | 426 | 1.1503 | 0.38 | 1.1503 | 1.0725 |
| No log | 5.0952 | 428 | 1.0903 | 0.3624 | 1.0903 | 1.0442 |
| No log | 5.1190 | 430 | 1.0289 | 0.3914 | 1.0289 | 1.0143 |
| No log | 5.1429 | 432 | 1.0585 | 0.2510 | 1.0585 | 1.0289 |
| No log | 5.1667 | 434 | 1.0429 | 0.2312 | 1.0429 | 1.0212 |
| No log | 5.1905 | 436 | 0.9739 | 0.2440 | 0.9739 | 0.9869 |
| No log | 5.2143 | 438 | 0.9570 | 0.2122 | 0.9570 | 0.9783 |
| No log | 5.2381 | 440 | 0.9884 | 0.2909 | 0.9884 | 0.9942 |
| No log | 5.2619 | 442 | 1.1158 | 0.3938 | 1.1158 | 1.0563 |
| No log | 5.2857 | 444 | 1.1945 | 0.3699 | 1.1945 | 1.0929 |
| No log | 5.3095 | 446 | 1.1055 | 0.3864 | 1.1055 | 1.0514 |
| No log | 5.3333 | 448 | 1.0105 | 0.4197 | 1.0105 | 1.0052 |
| No log | 5.3571 | 450 | 0.9210 | 0.2721 | 0.9210 | 0.9597 |
| No log | 5.3810 | 452 | 0.9083 | 0.2721 | 0.9083 | 0.9530 |
| No log | 5.4048 | 454 | 0.9607 | 0.3732 | 0.9607 | 0.9802 |
| No log | 5.4286 | 456 | 1.0385 | 0.3954 | 1.0385 | 1.0191 |
| No log | 5.4524 | 458 | 1.0401 | 0.4081 | 1.0401 | 1.0199 |
| No log | 5.4762 | 460 | 1.0497 | 0.3954 | 1.0497 | 1.0246 |
| No log | 5.5 | 462 | 1.0387 | 0.4081 | 1.0387 | 1.0192 |
| No log | 5.5238 | 464 | 0.9927 | 0.3045 | 0.9927 | 0.9963 |
| No log | 5.5476 | 466 | 1.0106 | 0.3161 | 1.0106 | 1.0053 |
| No log | 5.5714 | 468 | 0.9667 | 0.2814 | 0.9667 | 0.9832 |
| No log | 5.5952 | 470 | 0.9257 | 0.3671 | 0.9257 | 0.9621 |
| No log | 5.6190 | 472 | 0.9181 | 0.4213 | 0.9181 | 0.9582 |
| No log | 5.6429 | 474 | 0.9343 | 0.3671 | 0.9343 | 0.9666 |
| No log | 5.6667 | 476 | 0.9282 | 0.4181 | 0.9282 | 0.9634 |
| No log | 5.6905 | 478 | 0.8830 | 0.4329 | 0.8830 | 0.9397 |
| No log | 5.7143 | 480 | 0.9396 | 0.4191 | 0.9396 | 0.9694 |
| No log | 5.7381 | 482 | 0.9277 | 0.4067 | 0.9277 | 0.9631 |
| No log | 5.7619 | 484 | 0.8657 | 0.3983 | 0.8657 | 0.9304 |
| No log | 5.7857 | 486 | 0.9470 | 0.4257 | 0.9470 | 0.9731 |
| No log | 5.8095 | 488 | 1.0482 | 0.4464 | 1.0482 | 1.0238 |
| No log | 5.8333 | 490 | 0.9968 | 0.4018 | 0.9968 | 0.9984 |
| No log | 5.8571 | 492 | 0.9312 | 0.4231 | 0.9312 | 0.9650 |
| No log | 5.8810 | 494 | 0.8800 | 0.3671 | 0.8800 | 0.9381 |
| No log | 5.9048 | 496 | 0.8765 | 0.3671 | 0.8765 | 0.9362 |
| No log | 5.9286 | 498 | 0.8635 | 0.4337 | 0.8635 | 0.9292 |
| 0.3111 | 5.9524 | 500 | 0.8742 | 0.4585 | 0.8742 | 0.9350 |
| 0.3111 | 5.9762 | 502 | 0.8931 | 0.4902 | 0.8931 | 0.9451 |
| 0.3111 | 6.0 | 504 | 0.8977 | 0.4792 | 0.8977 | 0.9475 |
| 0.3111 | 6.0238 | 506 | 0.9053 | 0.4073 | 0.9053 | 0.9515 |
| 0.3111 | 6.0476 | 508 | 0.9226 | 0.3634 | 0.9226 | 0.9605 |
| 0.3111 | 6.0714 | 510 | 1.0211 | 0.2908 | 1.0211 | 1.0105 |
| 0.3111 | 6.0952 | 512 | 1.1284 | 0.3810 | 1.1284 | 1.0622 |
| 0.3111 | 6.1190 | 514 | 1.1524 | 0.3286 | 1.1524 | 1.0735 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 3
Model tree for MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k18_task5_organization
Base model
aubmindlab/bert-base-arabertv02