Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_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_run3_AugV5_k19_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_run3_AugV5_k19_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_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: 1.2611
- Qwk: 0.1951
- Mse: 1.2611
- Rmse: 1.1230
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 | 0.0222 | 2 | 4.3775 | 0.0138 | 4.3775 | 2.0923 |
| No log | 0.0444 | 4 | 2.5092 | 0.0762 | 2.5092 | 1.5841 |
| No log | 0.0667 | 6 | 2.1374 | -0.0189 | 2.1374 | 1.4620 |
| No log | 0.0889 | 8 | 1.5780 | 0.1084 | 1.5780 | 1.2562 |
| No log | 0.1111 | 10 | 1.1290 | 0.1867 | 1.1290 | 1.0625 |
| No log | 0.1333 | 12 | 1.0717 | 0.2204 | 1.0717 | 1.0352 |
| No log | 0.1556 | 14 | 1.3471 | 0.1745 | 1.3471 | 1.1606 |
| No log | 0.1778 | 16 | 1.9579 | 0.0672 | 1.9579 | 1.3993 |
| No log | 0.2 | 18 | 2.4251 | 0.0441 | 2.4251 | 1.5573 |
| No log | 0.2222 | 20 | 1.7415 | 0.1320 | 1.7415 | 1.3197 |
| No log | 0.2444 | 22 | 1.3532 | 0.1991 | 1.3532 | 1.1633 |
| No log | 0.2667 | 24 | 1.3966 | 0.2178 | 1.3966 | 1.1818 |
| No log | 0.2889 | 26 | 1.7368 | 0.1415 | 1.7368 | 1.3179 |
| No log | 0.3111 | 28 | 1.6090 | 0.2331 | 1.6090 | 1.2685 |
| No log | 0.3333 | 30 | 1.1412 | 0.3902 | 1.1412 | 1.0683 |
| No log | 0.3556 | 32 | 1.1059 | 0.4449 | 1.1059 | 1.0516 |
| No log | 0.3778 | 34 | 1.1107 | 0.5094 | 1.1107 | 1.0539 |
| No log | 0.4 | 36 | 1.2040 | 0.2823 | 1.2040 | 1.0972 |
| No log | 0.4222 | 38 | 1.5019 | 0.2609 | 1.5019 | 1.2255 |
| No log | 0.4444 | 40 | 1.3378 | 0.2442 | 1.3378 | 1.1566 |
| No log | 0.4667 | 42 | 1.0597 | 0.3332 | 1.0597 | 1.0294 |
| No log | 0.4889 | 44 | 1.1280 | 0.2159 | 1.1280 | 1.0621 |
| No log | 0.5111 | 46 | 1.6227 | 0.2724 | 1.6227 | 1.2739 |
| No log | 0.5333 | 48 | 1.7889 | 0.2328 | 1.7889 | 1.3375 |
| No log | 0.5556 | 50 | 1.4021 | 0.2902 | 1.4021 | 1.1841 |
| No log | 0.5778 | 52 | 1.1355 | 0.2812 | 1.1355 | 1.0656 |
| No log | 0.6 | 54 | 1.0577 | 0.2915 | 1.0577 | 1.0284 |
| No log | 0.6222 | 56 | 1.1779 | 0.2961 | 1.1779 | 1.0853 |
| No log | 0.6444 | 58 | 1.7060 | 0.2471 | 1.7060 | 1.3061 |
| No log | 0.6667 | 60 | 2.0614 | 0.1479 | 2.0614 | 1.4358 |
| No log | 0.6889 | 62 | 1.7122 | 0.2142 | 1.7122 | 1.3085 |
| No log | 0.7111 | 64 | 1.2060 | 0.1609 | 1.2060 | 1.0982 |
| No log | 0.7333 | 66 | 1.1194 | 0.2339 | 1.1194 | 1.0580 |
| No log | 0.7556 | 68 | 1.1231 | 0.2223 | 1.1231 | 1.0597 |
| No log | 0.7778 | 70 | 1.2123 | 0.1510 | 1.2123 | 1.1011 |
| No log | 0.8 | 72 | 1.1831 | 0.2574 | 1.1831 | 1.0877 |
| No log | 0.8222 | 74 | 1.1462 | 0.2191 | 1.1462 | 1.0706 |
| No log | 0.8444 | 76 | 1.1214 | 0.2579 | 1.1214 | 1.0590 |
| No log | 0.8667 | 78 | 1.2241 | 0.2851 | 1.2241 | 1.1064 |
| No log | 0.8889 | 80 | 1.2513 | 0.2690 | 1.2513 | 1.1186 |
| No log | 0.9111 | 82 | 1.1632 | 0.2773 | 1.1632 | 1.0785 |
| No log | 0.9333 | 84 | 1.2634 | 0.2653 | 1.2634 | 1.1240 |
| No log | 0.9556 | 86 | 1.2359 | 0.2975 | 1.2359 | 1.1117 |
| No log | 0.9778 | 88 | 1.1241 | 0.3441 | 1.1241 | 1.0602 |
| No log | 1.0 | 90 | 1.1158 | 0.3499 | 1.1158 | 1.0563 |
| No log | 1.0222 | 92 | 1.1133 | 0.3499 | 1.1133 | 1.0551 |
| No log | 1.0444 | 94 | 1.0734 | 0.4082 | 1.0734 | 1.0360 |
| No log | 1.0667 | 96 | 1.0493 | 0.3147 | 1.0493 | 1.0244 |
| No log | 1.0889 | 98 | 1.1527 | 0.2280 | 1.1527 | 1.0737 |
| No log | 1.1111 | 100 | 1.0274 | 0.2759 | 1.0274 | 1.0136 |
| No log | 1.1333 | 102 | 0.9700 | 0.3657 | 0.9700 | 0.9849 |
| No log | 1.1556 | 104 | 0.9351 | 0.3781 | 0.9351 | 0.9670 |
| No log | 1.1778 | 106 | 1.1736 | 0.3056 | 1.1736 | 1.0833 |
| No log | 1.2 | 108 | 1.4956 | 0.2813 | 1.4956 | 1.2230 |
| No log | 1.2222 | 110 | 1.4085 | 0.2782 | 1.4085 | 1.1868 |
| No log | 1.2444 | 112 | 1.2677 | 0.2707 | 1.2677 | 1.1259 |
| No log | 1.2667 | 114 | 1.1678 | 0.2665 | 1.1678 | 1.0806 |
| No log | 1.2889 | 116 | 0.9887 | 0.2078 | 0.9887 | 0.9943 |
| No log | 1.3111 | 118 | 0.9798 | 0.2835 | 0.9798 | 0.9899 |
| No log | 1.3333 | 120 | 1.0277 | 0.1961 | 1.0277 | 1.0138 |
| No log | 1.3556 | 122 | 1.2842 | 0.1166 | 1.2842 | 1.1332 |
| No log | 1.3778 | 124 | 1.7222 | 0.1948 | 1.7222 | 1.3123 |
| No log | 1.4 | 126 | 1.6728 | 0.2036 | 1.6728 | 1.2934 |
| No log | 1.4222 | 128 | 1.2563 | 0.1705 | 1.2563 | 1.1208 |
| No log | 1.4444 | 130 | 1.0846 | 0.2049 | 1.0846 | 1.0414 |
| No log | 1.4667 | 132 | 1.0716 | 0.2278 | 1.0716 | 1.0352 |
| No log | 1.4889 | 134 | 1.1183 | 0.2716 | 1.1183 | 1.0575 |
| No log | 1.5111 | 136 | 1.4303 | 0.1929 | 1.4303 | 1.1960 |
| No log | 1.5333 | 138 | 1.5843 | 0.1784 | 1.5843 | 1.2587 |
| No log | 1.5556 | 140 | 1.2901 | 0.2520 | 1.2901 | 1.1358 |
| No log | 1.5778 | 142 | 0.9929 | 0.3753 | 0.9929 | 0.9964 |
| No log | 1.6 | 144 | 0.9854 | 0.4379 | 0.9854 | 0.9926 |
| No log | 1.6222 | 146 | 0.9233 | 0.4186 | 0.9233 | 0.9609 |
| No log | 1.6444 | 148 | 0.9266 | 0.4149 | 0.9266 | 0.9626 |
| No log | 1.6667 | 150 | 0.9986 | 0.3701 | 0.9986 | 0.9993 |
| No log | 1.6889 | 152 | 0.9879 | 0.3699 | 0.9879 | 0.9940 |
| No log | 1.7111 | 154 | 1.0090 | 0.4388 | 1.0090 | 1.0045 |
| No log | 1.7333 | 156 | 1.0889 | 0.3792 | 1.0889 | 1.0435 |
| No log | 1.7556 | 158 | 1.1229 | 0.4230 | 1.1229 | 1.0597 |
| No log | 1.7778 | 160 | 1.1522 | 0.4064 | 1.1522 | 1.0734 |
| No log | 1.8 | 162 | 1.1722 | 0.4253 | 1.1722 | 1.0827 |
| No log | 1.8222 | 164 | 1.2568 | 0.3830 | 1.2568 | 1.1211 |
| No log | 1.8444 | 166 | 1.3464 | 0.1993 | 1.3464 | 1.1604 |
| No log | 1.8667 | 168 | 1.3040 | 0.2729 | 1.3040 | 1.1419 |
| No log | 1.8889 | 170 | 1.1434 | 0.3607 | 1.1434 | 1.0693 |
| No log | 1.9111 | 172 | 1.0349 | 0.2971 | 1.0349 | 1.0173 |
| No log | 1.9333 | 174 | 1.1882 | 0.2731 | 1.1882 | 1.0900 |
| No log | 1.9556 | 176 | 1.1499 | 0.3068 | 1.1499 | 1.0723 |
| No log | 1.9778 | 178 | 0.9769 | 0.2922 | 0.9769 | 0.9884 |
| No log | 2.0 | 180 | 0.9819 | 0.3502 | 0.9819 | 0.9909 |
| No log | 2.0222 | 182 | 1.0702 | 0.4020 | 1.0702 | 1.0345 |
| No log | 2.0444 | 184 | 1.0967 | 0.4379 | 1.0967 | 1.0472 |
| No log | 2.0667 | 186 | 1.1020 | 0.4370 | 1.1020 | 1.0498 |
| No log | 2.0889 | 188 | 1.2818 | 0.2347 | 1.2818 | 1.1322 |
| No log | 2.1111 | 190 | 1.3249 | 0.2482 | 1.3249 | 1.1510 |
| No log | 2.1333 | 192 | 1.1717 | 0.3175 | 1.1717 | 1.0825 |
| No log | 2.1556 | 194 | 1.1045 | 0.4110 | 1.1045 | 1.0510 |
| No log | 2.1778 | 196 | 1.0662 | 0.3375 | 1.0662 | 1.0326 |
| No log | 2.2 | 198 | 1.0293 | 0.3346 | 1.0293 | 1.0145 |
| No log | 2.2222 | 200 | 1.0163 | 0.3493 | 1.0163 | 1.0081 |
| No log | 2.2444 | 202 | 1.0543 | 0.4020 | 1.0543 | 1.0268 |
| No log | 2.2667 | 204 | 1.0352 | 0.3786 | 1.0352 | 1.0174 |
| No log | 2.2889 | 206 | 1.0163 | 0.3784 | 1.0163 | 1.0081 |
| No log | 2.3111 | 208 | 1.0576 | 0.3276 | 1.0576 | 1.0284 |
| No log | 2.3333 | 210 | 1.0514 | 0.3202 | 1.0514 | 1.0254 |
| No log | 2.3556 | 212 | 1.0268 | 0.375 | 1.0268 | 1.0133 |
| No log | 2.3778 | 214 | 1.0118 | 0.4039 | 1.0118 | 1.0059 |
| No log | 2.4 | 216 | 1.0503 | 0.3837 | 1.0503 | 1.0248 |
| No log | 2.4222 | 218 | 1.1038 | 0.3435 | 1.1038 | 1.0506 |
| No log | 2.4444 | 220 | 1.0523 | 0.3196 | 1.0523 | 1.0258 |
| No log | 2.4667 | 222 | 1.0426 | 0.3690 | 1.0426 | 1.0211 |
| No log | 2.4889 | 224 | 1.0834 | 0.3483 | 1.0834 | 1.0409 |
| No log | 2.5111 | 226 | 1.0954 | 0.3463 | 1.0954 | 1.0466 |
| No log | 2.5333 | 228 | 1.0253 | 0.3483 | 1.0253 | 1.0126 |
| No log | 2.5556 | 230 | 0.9364 | 0.2952 | 0.9364 | 0.9677 |
| No log | 2.5778 | 232 | 0.9539 | 0.3577 | 0.9539 | 0.9767 |
| No log | 2.6 | 234 | 0.9772 | 0.3602 | 0.9772 | 0.9885 |
| No log | 2.6222 | 236 | 0.9960 | 0.3317 | 0.9960 | 0.9980 |
| No log | 2.6444 | 238 | 1.0031 | 0.3284 | 1.0031 | 1.0015 |
| No log | 2.6667 | 240 | 1.0040 | 0.3793 | 1.0040 | 1.0020 |
| No log | 2.6889 | 242 | 0.9432 | 0.3464 | 0.9432 | 0.9712 |
| No log | 2.7111 | 244 | 0.9313 | 0.3818 | 0.9313 | 0.9650 |
| No log | 2.7333 | 246 | 0.9240 | 0.3642 | 0.9240 | 0.9612 |
| No log | 2.7556 | 248 | 0.9075 | 0.3070 | 0.9075 | 0.9526 |
| No log | 2.7778 | 250 | 0.9057 | 0.3263 | 0.9057 | 0.9517 |
| No log | 2.8 | 252 | 0.9760 | 0.4249 | 0.9760 | 0.9879 |
| No log | 2.8222 | 254 | 0.9963 | 0.4656 | 0.9963 | 0.9981 |
| No log | 2.8444 | 256 | 0.9049 | 0.3747 | 0.9049 | 0.9513 |
| No log | 2.8667 | 258 | 0.9453 | 0.4066 | 0.9453 | 0.9723 |
| No log | 2.8889 | 260 | 1.0146 | 0.4218 | 1.0146 | 1.0073 |
| No log | 2.9111 | 262 | 0.9850 | 0.4214 | 0.9850 | 0.9925 |
| No log | 2.9333 | 264 | 0.9585 | 0.3897 | 0.9585 | 0.9790 |
| No log | 2.9556 | 266 | 0.9427 | 0.3839 | 0.9427 | 0.9709 |
| No log | 2.9778 | 268 | 0.9547 | 0.4013 | 0.9547 | 0.9771 |
| No log | 3.0 | 270 | 0.9680 | 0.3314 | 0.9680 | 0.9839 |
| No log | 3.0222 | 272 | 0.9519 | 0.3665 | 0.9519 | 0.9756 |
| No log | 3.0444 | 274 | 0.9504 | 0.4633 | 0.9504 | 0.9749 |
| No log | 3.0667 | 276 | 0.9616 | 0.4037 | 0.9616 | 0.9806 |
| No log | 3.0889 | 278 | 0.9729 | 0.4037 | 0.9729 | 0.9864 |
| No log | 3.1111 | 280 | 0.9960 | 0.3914 | 0.9960 | 0.9980 |
| No log | 3.1333 | 282 | 0.9693 | 0.3806 | 0.9693 | 0.9845 |
| No log | 3.1556 | 284 | 0.9928 | 0.3306 | 0.9928 | 0.9964 |
| No log | 3.1778 | 286 | 0.9885 | 0.3914 | 0.9885 | 0.9942 |
| No log | 3.2 | 288 | 1.0124 | 0.3879 | 1.0124 | 1.0062 |
| No log | 3.2222 | 290 | 1.0839 | 0.3631 | 1.0839 | 1.0411 |
| No log | 3.2444 | 292 | 1.0901 | 0.3631 | 1.0901 | 1.0441 |
| No log | 3.2667 | 294 | 1.0284 | 0.2887 | 1.0284 | 1.0141 |
| No log | 3.2889 | 296 | 1.0204 | 0.3035 | 1.0204 | 1.0101 |
| No log | 3.3111 | 298 | 1.0204 | 0.3035 | 1.0204 | 1.0102 |
| No log | 3.3333 | 300 | 1.0151 | 0.3014 | 1.0151 | 1.0075 |
| No log | 3.3556 | 302 | 1.0607 | 0.3217 | 1.0607 | 1.0299 |
| No log | 3.3778 | 304 | 1.0495 | 0.3217 | 1.0495 | 1.0244 |
| No log | 3.4 | 306 | 1.0000 | 0.3583 | 1.0000 | 1.0000 |
| No log | 3.4222 | 308 | 1.0327 | 0.3192 | 1.0327 | 1.0162 |
| No log | 3.4444 | 310 | 1.0628 | 0.2844 | 1.0628 | 1.0309 |
| No log | 3.4667 | 312 | 1.0155 | 0.3078 | 1.0155 | 1.0077 |
| No log | 3.4889 | 314 | 1.0416 | 0.3308 | 1.0416 | 1.0206 |
| No log | 3.5111 | 316 | 1.0564 | 0.3308 | 1.0564 | 1.0278 |
| No log | 3.5333 | 318 | 1.0695 | 0.3338 | 1.0695 | 1.0342 |
| No log | 3.5556 | 320 | 1.0494 | 0.3389 | 1.0494 | 1.0244 |
| No log | 3.5778 | 322 | 1.0409 | 0.3365 | 1.0409 | 1.0202 |
| No log | 3.6 | 324 | 1.0386 | 0.3493 | 1.0386 | 1.0191 |
| No log | 3.6222 | 326 | 1.0474 | 0.3365 | 1.0474 | 1.0234 |
| No log | 3.6444 | 328 | 1.0671 | 0.3408 | 1.0671 | 1.0330 |
| No log | 3.6667 | 330 | 1.0566 | 0.3399 | 1.0566 | 1.0279 |
| No log | 3.6889 | 332 | 1.0452 | 0.3974 | 1.0452 | 1.0224 |
| No log | 3.7111 | 334 | 1.0378 | 0.3823 | 1.0378 | 1.0187 |
| No log | 3.7333 | 336 | 1.0231 | 0.4153 | 1.0231 | 1.0115 |
| No log | 3.7556 | 338 | 1.0395 | 0.3440 | 1.0395 | 1.0196 |
| No log | 3.7778 | 340 | 1.1080 | 0.2864 | 1.1080 | 1.0526 |
| No log | 3.8 | 342 | 1.0777 | 0.2922 | 1.0777 | 1.0381 |
| No log | 3.8222 | 344 | 1.0381 | 0.4042 | 1.0381 | 1.0189 |
| No log | 3.8444 | 346 | 1.1186 | 0.4298 | 1.1186 | 1.0576 |
| No log | 3.8667 | 348 | 1.2087 | 0.3249 | 1.2087 | 1.0994 |
| No log | 3.8889 | 350 | 1.1529 | 0.4004 | 1.1529 | 1.0737 |
| No log | 3.9111 | 352 | 1.0871 | 0.3879 | 1.0871 | 1.0427 |
| No log | 3.9333 | 354 | 1.0695 | 0.3447 | 1.0695 | 1.0341 |
| No log | 3.9556 | 356 | 1.0656 | 0.3447 | 1.0656 | 1.0323 |
| No log | 3.9778 | 358 | 1.0575 | 0.3711 | 1.0575 | 1.0283 |
| No log | 4.0 | 360 | 1.0347 | 0.4128 | 1.0347 | 1.0172 |
| No log | 4.0222 | 362 | 1.0143 | 0.3840 | 1.0143 | 1.0071 |
| No log | 4.0444 | 364 | 1.0020 | 0.3603 | 1.0020 | 1.0010 |
| No log | 4.0667 | 366 | 1.0163 | 0.3369 | 1.0163 | 1.0081 |
| No log | 4.0889 | 368 | 1.0007 | 0.3634 | 1.0007 | 1.0003 |
| No log | 4.1111 | 370 | 0.9853 | 0.3164 | 0.9853 | 0.9926 |
| No log | 4.1333 | 372 | 0.9797 | 0.2808 | 0.9797 | 0.9898 |
| No log | 4.1556 | 374 | 0.9686 | 0.2995 | 0.9686 | 0.9842 |
| No log | 4.1778 | 376 | 1.0083 | 0.3873 | 1.0083 | 1.0041 |
| No log | 4.2 | 378 | 1.0323 | 0.3780 | 1.0323 | 1.0160 |
| No log | 4.2222 | 380 | 1.0036 | 0.3744 | 1.0036 | 1.0018 |
| No log | 4.2444 | 382 | 1.0157 | 0.4073 | 1.0157 | 1.0078 |
| No log | 4.2667 | 384 | 1.0273 | 0.4413 | 1.0273 | 1.0136 |
| No log | 4.2889 | 386 | 1.0184 | 0.4522 | 1.0184 | 1.0092 |
| No log | 4.3111 | 388 | 0.9828 | 0.4413 | 0.9828 | 0.9913 |
| No log | 4.3333 | 390 | 0.9889 | 0.4264 | 0.9889 | 0.9944 |
| No log | 4.3556 | 392 | 0.9880 | 0.4264 | 0.9880 | 0.9940 |
| No log | 4.3778 | 394 | 0.9642 | 0.4065 | 0.9642 | 0.9819 |
| No log | 4.4 | 396 | 0.9735 | 0.4065 | 0.9735 | 0.9866 |
| No log | 4.4222 | 398 | 0.9880 | 0.4450 | 0.9880 | 0.9940 |
| No log | 4.4444 | 400 | 1.0199 | 0.3696 | 1.0199 | 1.0099 |
| No log | 4.4667 | 402 | 1.0387 | 0.4297 | 1.0387 | 1.0192 |
| No log | 4.4889 | 404 | 1.0602 | 0.4169 | 1.0602 | 1.0297 |
| No log | 4.5111 | 406 | 1.0671 | 0.3357 | 1.0671 | 1.0330 |
| No log | 4.5333 | 408 | 1.0687 | 0.3437 | 1.0687 | 1.0338 |
| No log | 4.5556 | 410 | 1.0394 | 0.3784 | 1.0394 | 1.0195 |
| No log | 4.5778 | 412 | 1.0671 | 0.3320 | 1.0671 | 1.0330 |
| No log | 4.6 | 414 | 1.1108 | 0.3320 | 1.1108 | 1.0540 |
| No log | 4.6222 | 416 | 1.0908 | 0.4232 | 1.0908 | 1.0444 |
| No log | 4.6444 | 418 | 1.0754 | 0.3036 | 1.0754 | 1.0370 |
| No log | 4.6667 | 420 | 1.1283 | 0.3320 | 1.1283 | 1.0622 |
| No log | 4.6889 | 422 | 1.1658 | 0.3292 | 1.1658 | 1.0797 |
| No log | 4.7111 | 424 | 1.1069 | 0.2701 | 1.1069 | 1.0521 |
| No log | 4.7333 | 426 | 1.1018 | 0.3495 | 1.1018 | 1.0496 |
| No log | 4.7556 | 428 | 1.1035 | 0.3270 | 1.1035 | 1.0505 |
| No log | 4.7778 | 430 | 1.0842 | 0.3089 | 1.0842 | 1.0412 |
| No log | 4.8 | 432 | 1.1289 | 0.3014 | 1.1289 | 1.0625 |
| No log | 4.8222 | 434 | 1.0954 | 0.2743 | 1.0954 | 1.0466 |
| No log | 4.8444 | 436 | 1.0443 | 0.3685 | 1.0443 | 1.0219 |
| No log | 4.8667 | 438 | 1.0432 | 0.3836 | 1.0432 | 1.0214 |
| No log | 4.8889 | 440 | 1.0346 | 0.4186 | 1.0346 | 1.0171 |
| No log | 4.9111 | 442 | 1.0619 | 0.2997 | 1.0619 | 1.0305 |
| No log | 4.9333 | 444 | 1.0817 | 0.3395 | 1.0817 | 1.0401 |
| No log | 4.9556 | 446 | 1.0466 | 0.3821 | 1.0466 | 1.0230 |
| No log | 4.9778 | 448 | 1.0436 | 0.3529 | 1.0436 | 1.0216 |
| No log | 5.0 | 450 | 1.0569 | 0.3042 | 1.0569 | 1.0281 |
| No log | 5.0222 | 452 | 1.0400 | 0.3529 | 1.0400 | 1.0198 |
| No log | 5.0444 | 454 | 1.0238 | 0.3237 | 1.0238 | 1.0119 |
| No log | 5.0667 | 456 | 1.0515 | 0.3596 | 1.0515 | 1.0254 |
| No log | 5.0889 | 458 | 1.0568 | 0.3577 | 1.0568 | 1.0280 |
| No log | 5.1111 | 460 | 1.0287 | 0.3338 | 1.0287 | 1.0142 |
| No log | 5.1333 | 462 | 1.0144 | 0.3347 | 1.0144 | 1.0072 |
| No log | 5.1556 | 464 | 1.0209 | 0.3552 | 1.0209 | 1.0104 |
| No log | 5.1778 | 466 | 1.0314 | 0.3316 | 1.0314 | 1.0156 |
| No log | 5.2 | 468 | 1.0641 | 0.3693 | 1.0641 | 1.0315 |
| No log | 5.2222 | 470 | 1.1074 | 0.3049 | 1.1074 | 1.0523 |
| No log | 5.2444 | 472 | 1.0760 | 0.3198 | 1.0760 | 1.0373 |
| No log | 5.2667 | 474 | 1.0614 | 0.3577 | 1.0614 | 1.0303 |
| No log | 5.2889 | 476 | 1.0672 | 0.3839 | 1.0672 | 1.0331 |
| No log | 5.3111 | 478 | 1.0817 | 0.3584 | 1.0817 | 1.0400 |
| No log | 5.3333 | 480 | 1.0882 | 0.3584 | 1.0882 | 1.0432 |
| No log | 5.3556 | 482 | 1.0963 | 0.3466 | 1.0963 | 1.0470 |
| No log | 5.3778 | 484 | 1.1271 | 0.3113 | 1.1271 | 1.0617 |
| No log | 5.4 | 486 | 1.1668 | 0.3384 | 1.1668 | 1.0802 |
| No log | 5.4222 | 488 | 1.2236 | 0.2937 | 1.2236 | 1.1062 |
| No log | 5.4444 | 490 | 1.2548 | 0.2668 | 1.2548 | 1.1202 |
| No log | 5.4667 | 492 | 1.2111 | 0.2918 | 1.2111 | 1.1005 |
| No log | 5.4889 | 494 | 1.1349 | 0.3715 | 1.1349 | 1.0653 |
| No log | 5.5111 | 496 | 1.0882 | 0.3113 | 1.0882 | 1.0432 |
| No log | 5.5333 | 498 | 1.0921 | 0.3230 | 1.0921 | 1.0450 |
| 0.3204 | 5.5556 | 500 | 1.0881 | 0.2944 | 1.0881 | 1.0431 |
| 0.3204 | 5.5778 | 502 | 1.0967 | 0.3080 | 1.0967 | 1.0472 |
| 0.3204 | 5.6 | 504 | 1.0774 | 0.3059 | 1.0774 | 1.0380 |
| 0.3204 | 5.6222 | 506 | 1.0986 | 0.3124 | 1.0986 | 1.0482 |
| 0.3204 | 5.6444 | 508 | 1.1753 | 0.3319 | 1.1753 | 1.0841 |
| 0.3204 | 5.6667 | 510 | 1.1938 | 0.2595 | 1.1938 | 1.0926 |
| 0.3204 | 5.6889 | 512 | 1.1476 | 0.3565 | 1.1476 | 1.0712 |
| 0.3204 | 5.7111 | 514 | 1.1319 | 0.2850 | 1.1319 | 1.0639 |
| 0.3204 | 5.7333 | 516 | 1.1539 | 0.2871 | 1.1539 | 1.0742 |
| 0.3204 | 5.7556 | 518 | 1.2138 | 0.2658 | 1.2138 | 1.1017 |
| 0.3204 | 5.7778 | 520 | 1.2642 | 0.2085 | 1.2642 | 1.1244 |
| 0.3204 | 5.8 | 522 | 1.2611 | 0.1951 | 1.2611 | 1.1230 |
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_run3_AugV5_k19_task5_organization
Base model
aubmindlab/bert-base-arabertv02