Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k15_task2_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_run2_AugV5_k15_task2_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_run2_AugV5_k15_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k15_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k15_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k15_task2_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: 1.0823
- Qwk: 0.3505
- Mse: 1.0823
- Rmse: 1.0403
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 | 0.0267 | 2 | 4.7544 | -0.0020 | 4.7544 | 2.1805 |
| No log | 0.0533 | 4 | 2.5325 | -0.0124 | 2.5325 | 1.5914 |
| No log | 0.08 | 6 | 1.7604 | 0.0198 | 1.7604 | 1.3268 |
| No log | 0.1067 | 8 | 1.6474 | 0.0263 | 1.6474 | 1.2835 |
| No log | 0.1333 | 10 | 1.2785 | 0.1598 | 1.2785 | 1.1307 |
| No log | 0.16 | 12 | 1.4547 | 0.1334 | 1.4547 | 1.2061 |
| No log | 0.1867 | 14 | 2.2471 | 0.1026 | 2.2471 | 1.4990 |
| No log | 0.2133 | 16 | 1.6534 | 0.1223 | 1.6534 | 1.2858 |
| No log | 0.24 | 18 | 1.1113 | 0.1507 | 1.1113 | 1.0542 |
| No log | 0.2667 | 20 | 1.1337 | 0.1196 | 1.1337 | 1.0648 |
| No log | 0.2933 | 22 | 1.1693 | 0.0926 | 1.1693 | 1.0813 |
| No log | 0.32 | 24 | 1.2078 | 0.2644 | 1.2078 | 1.0990 |
| No log | 0.3467 | 26 | 1.1591 | 0.2149 | 1.1591 | 1.0766 |
| No log | 0.3733 | 28 | 1.0773 | 0.2936 | 1.0773 | 1.0380 |
| No log | 0.4 | 30 | 1.0844 | 0.2537 | 1.0844 | 1.0413 |
| No log | 0.4267 | 32 | 1.1223 | 0.2687 | 1.1223 | 1.0594 |
| No log | 0.4533 | 34 | 1.1638 | 0.2298 | 1.1638 | 1.0788 |
| No log | 0.48 | 36 | 1.3122 | 0.0426 | 1.3122 | 1.1455 |
| No log | 0.5067 | 38 | 1.4210 | 0.0426 | 1.4210 | 1.1920 |
| No log | 0.5333 | 40 | 1.5106 | 0.0723 | 1.5106 | 1.2291 |
| No log | 0.56 | 42 | 1.3762 | 0.0426 | 1.3762 | 1.1731 |
| No log | 0.5867 | 44 | 1.2397 | 0.0758 | 1.2397 | 1.1134 |
| No log | 0.6133 | 46 | 1.1867 | 0.1584 | 1.1867 | 1.0894 |
| No log | 0.64 | 48 | 1.3006 | 0.0723 | 1.3006 | 1.1404 |
| No log | 0.6667 | 50 | 1.2177 | 0.1051 | 1.2177 | 1.1035 |
| No log | 0.6933 | 52 | 1.2120 | 0.1051 | 1.2120 | 1.1009 |
| No log | 0.72 | 54 | 1.0643 | 0.2912 | 1.0643 | 1.0316 |
| No log | 0.7467 | 56 | 1.0438 | 0.3250 | 1.0438 | 1.0216 |
| No log | 0.7733 | 58 | 1.2383 | 0.1625 | 1.2383 | 1.1128 |
| No log | 0.8 | 60 | 1.5093 | 0.2129 | 1.5093 | 1.2285 |
| No log | 0.8267 | 62 | 1.6916 | 0.2925 | 1.6916 | 1.3006 |
| No log | 0.8533 | 64 | 1.3787 | 0.3081 | 1.3787 | 1.1742 |
| No log | 0.88 | 66 | 1.1148 | 0.3959 | 1.1148 | 1.0559 |
| No log | 0.9067 | 68 | 0.8955 | 0.4400 | 0.8955 | 0.9463 |
| No log | 0.9333 | 70 | 0.8987 | 0.4 | 0.8987 | 0.9480 |
| No log | 0.96 | 72 | 1.0302 | 0.3881 | 1.0302 | 1.0150 |
| No log | 0.9867 | 74 | 1.7862 | 0.3247 | 1.7862 | 1.3365 |
| No log | 1.0133 | 76 | 2.2116 | 0.1940 | 2.2116 | 1.4872 |
| No log | 1.04 | 78 | 1.9863 | 0.2580 | 1.9863 | 1.4094 |
| No log | 1.0667 | 80 | 1.3694 | 0.3020 | 1.3694 | 1.1702 |
| No log | 1.0933 | 82 | 0.8711 | 0.4617 | 0.8711 | 0.9333 |
| No log | 1.12 | 84 | 0.9418 | 0.4200 | 0.9418 | 0.9704 |
| No log | 1.1467 | 86 | 0.9147 | 0.4201 | 0.9147 | 0.9564 |
| No log | 1.1733 | 88 | 0.8563 | 0.4555 | 0.8563 | 0.9253 |
| No log | 1.2 | 90 | 0.9627 | 0.3839 | 0.9627 | 0.9812 |
| No log | 1.2267 | 92 | 1.3137 | 0.3269 | 1.3137 | 1.1462 |
| No log | 1.2533 | 94 | 1.7078 | 0.3221 | 1.7078 | 1.3068 |
| No log | 1.28 | 96 | 1.7649 | 0.3106 | 1.7649 | 1.3285 |
| No log | 1.3067 | 98 | 1.4317 | 0.3850 | 1.4317 | 1.1965 |
| No log | 1.3333 | 100 | 0.9522 | 0.4890 | 0.9522 | 0.9758 |
| No log | 1.3600 | 102 | 0.8176 | 0.5010 | 0.8176 | 0.9042 |
| No log | 1.3867 | 104 | 0.8992 | 0.3616 | 0.8992 | 0.9482 |
| No log | 1.4133 | 106 | 0.8974 | 0.3708 | 0.8974 | 0.9473 |
| No log | 1.44 | 108 | 1.0378 | 0.3237 | 1.0378 | 1.0187 |
| No log | 1.4667 | 110 | 1.5655 | 0.3522 | 1.5655 | 1.2512 |
| No log | 1.4933 | 112 | 1.8140 | 0.2683 | 1.8140 | 1.3469 |
| No log | 1.52 | 114 | 1.6930 | 0.2857 | 1.6930 | 1.3012 |
| No log | 1.5467 | 116 | 1.3518 | 0.2677 | 1.3518 | 1.1627 |
| No log | 1.5733 | 118 | 1.0044 | 0.3765 | 1.0044 | 1.0022 |
| No log | 1.6 | 120 | 0.9718 | 0.4237 | 0.9718 | 0.9858 |
| No log | 1.6267 | 122 | 0.9883 | 0.3854 | 0.9883 | 0.9942 |
| No log | 1.6533 | 124 | 0.9668 | 0.3705 | 0.9668 | 0.9833 |
| No log | 1.6800 | 126 | 1.0702 | 0.2654 | 1.0702 | 1.0345 |
| No log | 1.7067 | 128 | 1.1192 | 0.2424 | 1.1192 | 1.0579 |
| No log | 1.7333 | 130 | 1.1468 | 0.2807 | 1.1468 | 1.0709 |
| No log | 1.76 | 132 | 0.9753 | 0.3780 | 0.9753 | 0.9876 |
| No log | 1.7867 | 134 | 0.9758 | 0.3546 | 0.9758 | 0.9878 |
| No log | 1.8133 | 136 | 0.9796 | 0.4356 | 0.9796 | 0.9897 |
| No log | 1.8400 | 138 | 0.9473 | 0.3987 | 0.9473 | 0.9733 |
| No log | 1.8667 | 140 | 1.0081 | 0.4156 | 1.0081 | 1.0041 |
| No log | 1.8933 | 142 | 0.9809 | 0.3875 | 0.9809 | 0.9904 |
| No log | 1.92 | 144 | 0.9726 | 0.4373 | 0.9726 | 0.9862 |
| No log | 1.9467 | 146 | 0.9888 | 0.4016 | 0.9888 | 0.9944 |
| No log | 1.9733 | 148 | 0.9715 | 0.3643 | 0.9715 | 0.9856 |
| No log | 2.0 | 150 | 0.9503 | 0.3371 | 0.9503 | 0.9748 |
| No log | 2.0267 | 152 | 0.9926 | 0.4489 | 0.9926 | 0.9963 |
| No log | 2.0533 | 154 | 1.0184 | 0.4648 | 1.0184 | 1.0091 |
| No log | 2.08 | 156 | 1.0113 | 0.4522 | 1.0113 | 1.0057 |
| No log | 2.1067 | 158 | 1.0310 | 0.4402 | 1.0310 | 1.0154 |
| No log | 2.1333 | 160 | 0.9947 | 0.4361 | 0.9947 | 0.9973 |
| No log | 2.16 | 162 | 1.0352 | 0.3412 | 1.0352 | 1.0174 |
| No log | 2.1867 | 164 | 1.0247 | 0.2871 | 1.0247 | 1.0123 |
| No log | 2.2133 | 166 | 1.0323 | 0.2647 | 1.0323 | 1.0160 |
| No log | 2.24 | 168 | 1.0896 | 0.2588 | 1.0896 | 1.0439 |
| No log | 2.2667 | 170 | 1.1635 | 0.3121 | 1.1635 | 1.0787 |
| No log | 2.2933 | 172 | 1.1803 | 0.3121 | 1.1803 | 1.0864 |
| No log | 2.32 | 174 | 1.1484 | 0.3266 | 1.1484 | 1.0716 |
| No log | 2.3467 | 176 | 1.1179 | 0.3760 | 1.1179 | 1.0573 |
| No log | 2.3733 | 178 | 1.1159 | 0.3611 | 1.1159 | 1.0564 |
| No log | 2.4 | 180 | 1.1183 | 0.3260 | 1.1183 | 1.0575 |
| No log | 2.4267 | 182 | 1.2722 | 0.3926 | 1.2722 | 1.1279 |
| No log | 2.4533 | 184 | 1.6223 | 0.2589 | 1.6223 | 1.2737 |
| No log | 2.48 | 186 | 1.6461 | 0.2375 | 1.6461 | 1.2830 |
| No log | 2.5067 | 188 | 1.3611 | 0.3875 | 1.3611 | 1.1667 |
| No log | 2.5333 | 190 | 1.1140 | 0.3627 | 1.1140 | 1.0555 |
| No log | 2.56 | 192 | 1.0472 | 0.3403 | 1.0472 | 1.0233 |
| No log | 2.5867 | 194 | 1.0403 | 0.3286 | 1.0403 | 1.0199 |
| No log | 2.6133 | 196 | 1.0175 | 0.3619 | 1.0175 | 1.0087 |
| No log | 2.64 | 198 | 1.0848 | 0.3494 | 1.0848 | 1.0415 |
| No log | 2.6667 | 200 | 1.2326 | 0.2851 | 1.2326 | 1.1102 |
| No log | 2.6933 | 202 | 1.1959 | 0.2705 | 1.1959 | 1.0936 |
| No log | 2.7200 | 204 | 1.0959 | 0.2766 | 1.0959 | 1.0468 |
| No log | 2.7467 | 206 | 1.0302 | 0.3365 | 1.0302 | 1.0150 |
| No log | 2.7733 | 208 | 1.0259 | 0.3184 | 1.0259 | 1.0129 |
| No log | 2.8 | 210 | 1.1029 | 0.3193 | 1.1029 | 1.0502 |
| No log | 2.8267 | 212 | 1.3986 | 0.2830 | 1.3986 | 1.1826 |
| No log | 2.8533 | 214 | 1.7496 | 0.2088 | 1.7496 | 1.3227 |
| No log | 2.88 | 216 | 1.8415 | 0.2218 | 1.8415 | 1.3570 |
| No log | 2.9067 | 218 | 1.6324 | 0.2366 | 1.6324 | 1.2777 |
| No log | 2.9333 | 220 | 1.4471 | 0.2576 | 1.4471 | 1.2029 |
| No log | 2.96 | 222 | 1.2486 | 0.3307 | 1.2486 | 1.1174 |
| No log | 2.9867 | 224 | 1.2091 | 0.3249 | 1.2091 | 1.0996 |
| No log | 3.0133 | 226 | 1.2581 | 0.3511 | 1.2581 | 1.1216 |
| No log | 3.04 | 228 | 1.3256 | 0.3440 | 1.3256 | 1.1513 |
| No log | 3.0667 | 230 | 1.2014 | 0.3561 | 1.2014 | 1.0961 |
| No log | 3.0933 | 232 | 1.0427 | 0.3321 | 1.0427 | 1.0211 |
| No log | 3.12 | 234 | 1.0087 | 0.2694 | 1.0087 | 1.0043 |
| No log | 3.1467 | 236 | 1.0453 | 0.3975 | 1.0453 | 1.0224 |
| No log | 3.1733 | 238 | 1.0290 | 0.2625 | 1.0290 | 1.0144 |
| No log | 3.2 | 240 | 1.0105 | 0.2567 | 1.0105 | 1.0052 |
| No log | 3.2267 | 242 | 1.0195 | 0.2567 | 1.0195 | 1.0097 |
| No log | 3.2533 | 244 | 1.0186 | 0.2417 | 1.0186 | 1.0092 |
| No log | 3.2800 | 246 | 1.0260 | 0.2993 | 1.0260 | 1.0129 |
| No log | 3.3067 | 248 | 1.0348 | 0.2993 | 1.0348 | 1.0172 |
| No log | 3.3333 | 250 | 1.0428 | 0.3371 | 1.0428 | 1.0212 |
| No log | 3.36 | 252 | 1.0352 | 0.3085 | 1.0352 | 1.0174 |
| No log | 3.3867 | 254 | 1.0221 | 0.3085 | 1.0221 | 1.0110 |
| No log | 3.4133 | 256 | 1.0179 | 0.3036 | 1.0179 | 1.0089 |
| No log | 3.44 | 258 | 0.9943 | 0.2871 | 0.9943 | 0.9971 |
| No log | 3.4667 | 260 | 0.9670 | 0.3415 | 0.9670 | 0.9833 |
| No log | 3.4933 | 262 | 0.9583 | 0.3137 | 0.9583 | 0.9789 |
| No log | 3.52 | 264 | 0.9482 | 0.2941 | 0.9482 | 0.9738 |
| No log | 3.5467 | 266 | 0.9548 | 0.2963 | 0.9548 | 0.9771 |
| No log | 3.5733 | 268 | 0.9621 | 0.3036 | 0.9621 | 0.9809 |
| No log | 3.6 | 270 | 0.9541 | 0.3085 | 0.9541 | 0.9768 |
| No log | 3.6267 | 272 | 0.9657 | 0.3085 | 0.9657 | 0.9827 |
| No log | 3.6533 | 274 | 0.9851 | 0.3756 | 0.9851 | 0.9925 |
| No log | 3.68 | 276 | 0.9968 | 0.2993 | 0.9968 | 0.9984 |
| No log | 3.7067 | 278 | 1.0440 | 0.3877 | 1.0440 | 1.0218 |
| No log | 3.7333 | 280 | 1.0839 | 0.4157 | 1.0839 | 1.0411 |
| No log | 3.76 | 282 | 1.0230 | 0.3395 | 1.0230 | 1.0114 |
| No log | 3.7867 | 284 | 1.0463 | 0.3716 | 1.0463 | 1.0229 |
| No log | 3.8133 | 286 | 1.1498 | 0.3600 | 1.1498 | 1.0723 |
| No log | 3.84 | 288 | 1.1633 | 0.3271 | 1.1633 | 1.0785 |
| No log | 3.8667 | 290 | 1.0837 | 0.3299 | 1.0837 | 1.0410 |
| No log | 3.8933 | 292 | 1.0073 | 0.3263 | 1.0073 | 1.0037 |
| No log | 3.92 | 294 | 1.0126 | 0.2550 | 1.0126 | 1.0063 |
| No log | 3.9467 | 296 | 1.0423 | 0.2588 | 1.0423 | 1.0209 |
| No log | 3.9733 | 298 | 1.0349 | 0.2776 | 1.0349 | 1.0173 |
| No log | 4.0 | 300 | 1.0056 | 0.3159 | 1.0056 | 1.0028 |
| No log | 4.0267 | 302 | 1.0221 | 0.2728 | 1.0221 | 1.0110 |
| No log | 4.0533 | 304 | 1.0751 | 0.3902 | 1.0751 | 1.0369 |
| No log | 4.08 | 306 | 1.0162 | 0.2728 | 1.0162 | 1.0081 |
| No log | 4.1067 | 308 | 0.9986 | 0.3180 | 0.9986 | 0.9993 |
| No log | 4.1333 | 310 | 1.0231 | 0.4202 | 1.0231 | 1.0115 |
| No log | 4.16 | 312 | 1.0354 | 0.4202 | 1.0354 | 1.0176 |
| No log | 4.1867 | 314 | 1.0255 | 0.2822 | 1.0255 | 1.0127 |
| No log | 4.2133 | 316 | 1.0312 | 0.3159 | 1.0312 | 1.0155 |
| No log | 4.24 | 318 | 1.0544 | 0.3463 | 1.0544 | 1.0268 |
| No log | 4.2667 | 320 | 1.0667 | 0.3312 | 1.0667 | 1.0328 |
| No log | 4.2933 | 322 | 1.0514 | 0.2966 | 1.0514 | 1.0254 |
| No log | 4.32 | 324 | 1.0341 | 0.2775 | 1.0341 | 1.0169 |
| No log | 4.3467 | 326 | 1.0401 | 0.3733 | 1.0401 | 1.0198 |
| No log | 4.3733 | 328 | 1.0800 | 0.3126 | 1.0800 | 1.0392 |
| No log | 4.4 | 330 | 1.1510 | 0.3007 | 1.1510 | 1.0728 |
| No log | 4.4267 | 332 | 1.1242 | 0.2732 | 1.1242 | 1.0603 |
| No log | 4.4533 | 334 | 1.0286 | 0.3427 | 1.0286 | 1.0142 |
| No log | 4.48 | 336 | 1.0195 | 0.2692 | 1.0195 | 1.0097 |
| No log | 4.5067 | 338 | 1.0227 | 0.2468 | 1.0227 | 1.0113 |
| No log | 4.5333 | 340 | 1.0271 | 0.2803 | 1.0271 | 1.0135 |
| No log | 4.5600 | 342 | 1.0401 | 0.2944 | 1.0401 | 1.0198 |
| No log | 4.5867 | 344 | 1.0628 | 0.3681 | 1.0628 | 1.0309 |
| No log | 4.6133 | 346 | 1.1328 | 0.2544 | 1.1328 | 1.0643 |
| No log | 4.64 | 348 | 1.1715 | 0.2732 | 1.1715 | 1.0824 |
| No log | 4.6667 | 350 | 1.1467 | 0.2593 | 1.1467 | 1.0708 |
| No log | 4.6933 | 352 | 1.0556 | 0.3427 | 1.0556 | 1.0274 |
| No log | 4.72 | 354 | 1.0325 | 0.3137 | 1.0325 | 1.0161 |
| No log | 4.7467 | 356 | 1.0170 | 0.3399 | 1.0170 | 1.0084 |
| No log | 4.7733 | 358 | 1.0044 | 0.3788 | 1.0044 | 1.0022 |
| No log | 4.8 | 360 | 0.9919 | 0.4026 | 0.9919 | 0.9959 |
| No log | 4.8267 | 362 | 0.9929 | 0.4197 | 0.9929 | 0.9965 |
| No log | 4.8533 | 364 | 0.9950 | 0.4102 | 0.9950 | 0.9975 |
| No log | 4.88 | 366 | 0.9654 | 0.4159 | 0.9654 | 0.9826 |
| No log | 4.9067 | 368 | 0.9595 | 0.4159 | 0.9595 | 0.9795 |
| No log | 4.9333 | 370 | 1.0122 | 0.3993 | 1.0122 | 1.0061 |
| No log | 4.96 | 372 | 1.0030 | 0.3862 | 1.0030 | 1.0015 |
| No log | 4.9867 | 374 | 1.0327 | 0.3980 | 1.0327 | 1.0162 |
| No log | 5.0133 | 376 | 0.9996 | 0.3859 | 0.9996 | 0.9998 |
| No log | 5.04 | 378 | 0.9435 | 0.4048 | 0.9435 | 0.9713 |
| No log | 5.0667 | 380 | 0.9846 | 0.4328 | 0.9846 | 0.9923 |
| No log | 5.0933 | 382 | 0.9776 | 0.3613 | 0.9776 | 0.9887 |
| No log | 5.12 | 384 | 0.9331 | 0.4278 | 0.9331 | 0.9660 |
| No log | 5.1467 | 386 | 0.9365 | 0.3738 | 0.9365 | 0.9677 |
| No log | 5.1733 | 388 | 0.9417 | 0.3780 | 0.9417 | 0.9704 |
| No log | 5.2 | 390 | 0.9232 | 0.4219 | 0.9232 | 0.9608 |
| No log | 5.2267 | 392 | 0.9264 | 0.3908 | 0.9264 | 0.9625 |
| No log | 5.2533 | 394 | 0.9234 | 0.4181 | 0.9234 | 0.9610 |
| No log | 5.28 | 396 | 0.9200 | 0.3639 | 0.9200 | 0.9592 |
| No log | 5.3067 | 398 | 0.9841 | 0.3689 | 0.9841 | 0.9920 |
| No log | 5.3333 | 400 | 1.1056 | 0.3005 | 1.1056 | 1.0515 |
| No log | 5.36 | 402 | 1.1317 | 0.2982 | 1.1317 | 1.0638 |
| No log | 5.3867 | 404 | 1.0609 | 0.3357 | 1.0609 | 1.0300 |
| No log | 5.4133 | 406 | 0.9493 | 0.4371 | 0.9493 | 0.9743 |
| No log | 5.44 | 408 | 0.9227 | 0.3354 | 0.9227 | 0.9606 |
| No log | 5.4667 | 410 | 0.9544 | 0.4108 | 0.9544 | 0.9769 |
| No log | 5.4933 | 412 | 0.9892 | 0.4513 | 0.9892 | 0.9946 |
| No log | 5.52 | 414 | 0.9638 | 0.3018 | 0.9638 | 0.9817 |
| No log | 5.5467 | 416 | 0.9664 | 0.3408 | 0.9664 | 0.9830 |
| No log | 5.5733 | 418 | 0.9728 | 0.3408 | 0.9728 | 0.9863 |
| No log | 5.6 | 420 | 0.9743 | 0.2763 | 0.9743 | 0.9871 |
| No log | 5.6267 | 422 | 0.9963 | 0.3365 | 0.9963 | 0.9981 |
| No log | 5.6533 | 424 | 0.9969 | 0.3365 | 0.9969 | 0.9984 |
| No log | 5.68 | 426 | 0.9685 | 0.2763 | 0.9685 | 0.9841 |
| No log | 5.7067 | 428 | 0.9709 | 0.3217 | 0.9709 | 0.9853 |
| No log | 5.7333 | 430 | 0.9787 | 0.3478 | 0.9787 | 0.9893 |
| No log | 5.76 | 432 | 0.9660 | 0.3478 | 0.9660 | 0.9829 |
| No log | 5.7867 | 434 | 0.9441 | 0.3354 | 0.9441 | 0.9717 |
| No log | 5.8133 | 436 | 0.9906 | 0.4039 | 0.9906 | 0.9953 |
| No log | 5.84 | 438 | 1.0434 | 0.3339 | 1.0434 | 1.0215 |
| No log | 5.8667 | 440 | 1.0274 | 0.3280 | 1.0274 | 1.0136 |
| No log | 5.8933 | 442 | 0.9780 | 0.4136 | 0.9780 | 0.9889 |
| No log | 5.92 | 444 | 0.9624 | 0.4331 | 0.9624 | 0.9810 |
| No log | 5.9467 | 446 | 0.9481 | 0.3965 | 0.9481 | 0.9737 |
| No log | 5.9733 | 448 | 0.9511 | 0.3925 | 0.9511 | 0.9752 |
| No log | 6.0 | 450 | 0.9669 | 0.3965 | 0.9669 | 0.9833 |
| No log | 6.0267 | 452 | 0.9948 | 0.3614 | 0.9948 | 0.9974 |
| No log | 6.0533 | 454 | 1.0016 | 0.3571 | 1.0016 | 1.0008 |
| No log | 6.08 | 456 | 0.9870 | 0.3090 | 0.9870 | 0.9935 |
| No log | 6.1067 | 458 | 0.9784 | 0.3453 | 0.9784 | 0.9891 |
| No log | 6.1333 | 460 | 0.9668 | 0.3113 | 0.9668 | 0.9833 |
| No log | 6.16 | 462 | 0.9615 | 0.3090 | 0.9615 | 0.9805 |
| No log | 6.1867 | 464 | 0.9756 | 0.3596 | 0.9756 | 0.9877 |
| No log | 6.2133 | 466 | 1.0056 | 0.3169 | 1.0056 | 1.0028 |
| No log | 6.24 | 468 | 1.0034 | 0.3069 | 1.0034 | 1.0017 |
| No log | 6.2667 | 470 | 0.9841 | 0.3045 | 0.9841 | 0.9920 |
| No log | 6.2933 | 472 | 0.9681 | 0.3147 | 0.9681 | 0.9839 |
| No log | 6.32 | 474 | 0.9362 | 0.3190 | 0.9362 | 0.9676 |
| No log | 6.3467 | 476 | 0.9334 | 0.4016 | 0.9334 | 0.9661 |
| No log | 6.3733 | 478 | 0.9293 | 0.4016 | 0.9293 | 0.9640 |
| No log | 6.4 | 480 | 0.9201 | 0.3539 | 0.9201 | 0.9592 |
| No log | 6.4267 | 482 | 0.9194 | 0.3094 | 0.9194 | 0.9589 |
| No log | 6.4533 | 484 | 0.9045 | 0.4181 | 0.9045 | 0.9511 |
| No log | 6.48 | 486 | 0.8955 | 0.3879 | 0.8955 | 0.9463 |
| No log | 6.5067 | 488 | 0.9782 | 0.3169 | 0.9782 | 0.9890 |
| No log | 6.5333 | 490 | 1.1884 | 0.3656 | 1.1884 | 1.0901 |
| No log | 6.5600 | 492 | 1.2359 | 0.3656 | 1.2359 | 1.1117 |
| No log | 6.5867 | 494 | 1.1107 | 0.3537 | 1.1107 | 1.0539 |
| No log | 6.6133 | 496 | 0.9548 | 0.3821 | 0.9548 | 0.9771 |
| No log | 6.64 | 498 | 0.9317 | 0.3796 | 0.9317 | 0.9653 |
| 0.3751 | 6.6667 | 500 | 0.9458 | 0.3663 | 0.9458 | 0.9725 |
| 0.3751 | 6.6933 | 502 | 0.9493 | 0.3354 | 0.9493 | 0.9743 |
| 0.3751 | 6.72 | 504 | 1.0314 | 0.3505 | 1.0314 | 1.0156 |
| 0.3751 | 6.7467 | 506 | 1.1021 | 0.3295 | 1.1021 | 1.0498 |
| 0.3751 | 6.7733 | 508 | 1.1207 | 0.3218 | 1.1207 | 1.0586 |
| 0.3751 | 6.8 | 510 | 1.0823 | 0.3505 | 1.0823 | 1.0403 |
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_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k15_task2_organization
Base model
aubmindlab/bert-base-arabertv02