Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_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_run2_AugV5_k8_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_run2_AugV5_k8_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_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: 1.0297
- Qwk: 0.2857
- Mse: 1.0297
- Rmse: 1.0147
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 | 0.0556 | 2 | 4.3163 | -0.0197 | 4.3163 | 2.0776 |
| No log | 0.1111 | 4 | 2.5626 | 0.0390 | 2.5626 | 1.6008 |
| No log | 0.1667 | 6 | 1.9546 | 0.0123 | 1.9546 | 1.3981 |
| No log | 0.2222 | 8 | 1.3832 | 0.1145 | 1.3832 | 1.1761 |
| No log | 0.2778 | 10 | 1.2036 | 0.1379 | 1.2036 | 1.0971 |
| No log | 0.3333 | 12 | 1.2908 | 0.0771 | 1.2908 | 1.1361 |
| No log | 0.3889 | 14 | 2.1420 | 0.0110 | 2.1420 | 1.4636 |
| No log | 0.4444 | 16 | 2.6660 | -0.0706 | 2.6660 | 1.6328 |
| No log | 0.5 | 18 | 1.9254 | 0.0749 | 1.9254 | 1.3876 |
| No log | 0.5556 | 20 | 1.2952 | -0.0632 | 1.2952 | 1.1381 |
| No log | 0.6111 | 22 | 1.2216 | 0.0513 | 1.2216 | 1.1053 |
| No log | 0.6667 | 24 | 1.2155 | 0.1424 | 1.2155 | 1.1025 |
| No log | 0.7222 | 26 | 1.1503 | 0.0608 | 1.1503 | 1.0725 |
| No log | 0.7778 | 28 | 1.3782 | 0.1303 | 1.3782 | 1.1740 |
| No log | 0.8333 | 30 | 1.9815 | 0.0816 | 1.9815 | 1.4077 |
| No log | 0.8889 | 32 | 2.1808 | 0.0878 | 2.1808 | 1.4768 |
| No log | 0.9444 | 34 | 1.8718 | 0.1464 | 1.8718 | 1.3681 |
| No log | 1.0 | 36 | 1.6575 | 0.1878 | 1.6575 | 1.2875 |
| No log | 1.0556 | 38 | 1.4900 | 0.2021 | 1.4900 | 1.2207 |
| No log | 1.1111 | 40 | 1.4539 | 0.2021 | 1.4539 | 1.2058 |
| No log | 1.1667 | 42 | 1.6556 | 0.1560 | 1.6556 | 1.2867 |
| No log | 1.2222 | 44 | 1.6328 | 0.2124 | 1.6328 | 1.2778 |
| No log | 1.2778 | 46 | 1.3693 | 0.1872 | 1.3693 | 1.1702 |
| No log | 1.3333 | 48 | 1.3117 | 0.1659 | 1.3117 | 1.1453 |
| No log | 1.3889 | 50 | 1.6572 | 0.1929 | 1.6572 | 1.2873 |
| No log | 1.4444 | 52 | 1.9929 | 0.0976 | 1.9929 | 1.4117 |
| No log | 1.5 | 54 | 2.1804 | 0.1035 | 2.1804 | 1.4766 |
| No log | 1.5556 | 56 | 1.5955 | 0.2309 | 1.5955 | 1.2631 |
| No log | 1.6111 | 58 | 1.1529 | 0.1935 | 1.1529 | 1.0737 |
| No log | 1.6667 | 60 | 1.1021 | 0.2103 | 1.1021 | 1.0498 |
| No log | 1.7222 | 62 | 1.1750 | 0.2712 | 1.1750 | 1.0840 |
| No log | 1.7778 | 64 | 1.6610 | 0.1530 | 1.6610 | 1.2888 |
| No log | 1.8333 | 66 | 2.0356 | 0.1123 | 2.0356 | 1.4268 |
| No log | 1.8889 | 68 | 2.1231 | 0.1830 | 2.1231 | 1.4571 |
| No log | 1.9444 | 70 | 1.7522 | 0.1583 | 1.7522 | 1.3237 |
| No log | 2.0 | 72 | 1.2316 | 0.2568 | 1.2316 | 1.1098 |
| No log | 2.0556 | 74 | 1.0514 | 0.1667 | 1.0514 | 1.0254 |
| No log | 2.1111 | 76 | 1.1817 | 0.2886 | 1.1817 | 1.0871 |
| No log | 2.1667 | 78 | 1.2128 | 0.3584 | 1.2128 | 1.1013 |
| No log | 2.2222 | 80 | 1.1867 | 0.3482 | 1.1867 | 1.0894 |
| No log | 2.2778 | 82 | 1.7391 | 0.1583 | 1.7391 | 1.3187 |
| No log | 2.3333 | 84 | 1.8295 | 0.1661 | 1.8295 | 1.3526 |
| No log | 2.3889 | 86 | 1.4488 | 0.2822 | 1.4488 | 1.2037 |
| No log | 2.4444 | 88 | 1.2281 | 0.2611 | 1.2281 | 1.1082 |
| No log | 2.5 | 90 | 1.2179 | 0.2647 | 1.2179 | 1.1036 |
| No log | 2.5556 | 92 | 1.3186 | 0.1751 | 1.3186 | 1.1483 |
| No log | 2.6111 | 94 | 1.3227 | 0.1648 | 1.3227 | 1.1501 |
| No log | 2.6667 | 96 | 1.1942 | 0.1871 | 1.1942 | 1.0928 |
| No log | 2.7222 | 98 | 1.1900 | 0.1715 | 1.1900 | 1.0909 |
| No log | 2.7778 | 100 | 1.3274 | 0.2480 | 1.3274 | 1.1521 |
| No log | 2.8333 | 102 | 1.5069 | 0.1820 | 1.5069 | 1.2275 |
| No log | 2.8889 | 104 | 1.4065 | 0.1761 | 1.4065 | 1.1860 |
| No log | 2.9444 | 106 | 1.2969 | 0.2144 | 1.2969 | 1.1388 |
| No log | 3.0 | 108 | 1.1552 | 0.2590 | 1.1552 | 1.0748 |
| No log | 3.0556 | 110 | 1.0973 | 0.3526 | 1.0973 | 1.0475 |
| No log | 3.1111 | 112 | 1.0761 | 0.3181 | 1.0761 | 1.0373 |
| No log | 3.1667 | 114 | 1.1442 | 0.2579 | 1.1442 | 1.0697 |
| No log | 3.2222 | 116 | 1.2231 | 0.2292 | 1.2231 | 1.1059 |
| No log | 3.2778 | 118 | 1.1344 | 0.2665 | 1.1344 | 1.0651 |
| No log | 3.3333 | 120 | 1.0717 | 0.2352 | 1.0717 | 1.0353 |
| No log | 3.3889 | 122 | 0.9790 | 0.2591 | 0.9790 | 0.9895 |
| No log | 3.4444 | 124 | 0.9809 | 0.2993 | 0.9809 | 0.9904 |
| No log | 3.5 | 126 | 0.9852 | 0.2742 | 0.9852 | 0.9926 |
| No log | 3.5556 | 128 | 0.9995 | 0.3427 | 0.9995 | 0.9998 |
| No log | 3.6111 | 130 | 1.0551 | 0.3175 | 1.0551 | 1.0272 |
| No log | 3.6667 | 132 | 1.1361 | 0.3379 | 1.1361 | 1.0659 |
| No log | 3.7222 | 134 | 1.1167 | 0.3389 | 1.1167 | 1.0568 |
| No log | 3.7778 | 136 | 1.0729 | 0.4134 | 1.0729 | 1.0358 |
| No log | 3.8333 | 138 | 1.0742 | 0.3736 | 1.0742 | 1.0364 |
| No log | 3.8889 | 140 | 1.0669 | 0.4013 | 1.0669 | 1.0329 |
| No log | 3.9444 | 142 | 1.1495 | 0.3010 | 1.1495 | 1.0722 |
| No log | 4.0 | 144 | 1.2355 | 0.2329 | 1.2355 | 1.1115 |
| No log | 4.0556 | 146 | 1.1164 | 0.3117 | 1.1164 | 1.0566 |
| No log | 4.1111 | 148 | 1.0342 | 0.3237 | 1.0342 | 1.0170 |
| No log | 4.1667 | 150 | 1.0034 | 0.4219 | 1.0034 | 1.0017 |
| No log | 4.2222 | 152 | 0.9852 | 0.3704 | 0.9852 | 0.9926 |
| No log | 4.2778 | 154 | 1.0451 | 0.3449 | 1.0451 | 1.0223 |
| No log | 4.3333 | 156 | 1.1298 | 0.2690 | 1.1298 | 1.0629 |
| No log | 4.3889 | 158 | 1.0333 | 0.2965 | 1.0333 | 1.0165 |
| No log | 4.4444 | 160 | 0.9705 | 0.3117 | 0.9705 | 0.9851 |
| No log | 4.5 | 162 | 0.9746 | 0.3112 | 0.9746 | 0.9872 |
| No log | 4.5556 | 164 | 1.0007 | 0.3753 | 1.0007 | 1.0004 |
| No log | 4.6111 | 166 | 1.0338 | 0.3243 | 1.0338 | 1.0167 |
| No log | 4.6667 | 168 | 1.1420 | 0.3501 | 1.1420 | 1.0687 |
| No log | 4.7222 | 170 | 1.1532 | 0.3524 | 1.1532 | 1.0739 |
| No log | 4.7778 | 172 | 1.1005 | 0.4149 | 1.1005 | 1.0490 |
| No log | 4.8333 | 174 | 1.1167 | 0.3282 | 1.1167 | 1.0568 |
| No log | 4.8889 | 176 | 1.2208 | 0.1950 | 1.2208 | 1.1049 |
| No log | 4.9444 | 178 | 1.1457 | 0.2650 | 1.1457 | 1.0704 |
| No log | 5.0 | 180 | 1.1025 | 0.2028 | 1.1025 | 1.0500 |
| No log | 5.0556 | 182 | 1.1147 | 0.2942 | 1.1147 | 1.0558 |
| No log | 5.1111 | 184 | 1.1564 | 0.3466 | 1.1564 | 1.0753 |
| No log | 5.1667 | 186 | 1.2453 | 0.2694 | 1.2453 | 1.1159 |
| No log | 5.2222 | 188 | 1.2445 | 0.2851 | 1.2445 | 1.1156 |
| No log | 5.2778 | 190 | 1.1631 | 0.2541 | 1.1631 | 1.0785 |
| No log | 5.3333 | 192 | 1.1412 | 0.2978 | 1.1412 | 1.0683 |
| No log | 5.3889 | 194 | 1.1579 | 0.2806 | 1.1579 | 1.0761 |
| No log | 5.4444 | 196 | 1.1177 | 0.2978 | 1.1177 | 1.0572 |
| No log | 5.5 | 198 | 1.1135 | 0.1415 | 1.1135 | 1.0552 |
| No log | 5.5556 | 200 | 1.1049 | 0.1885 | 1.1049 | 1.0512 |
| No log | 5.6111 | 202 | 1.1051 | 0.2068 | 1.1051 | 1.0513 |
| No log | 5.6667 | 204 | 1.1159 | 0.2068 | 1.1159 | 1.0563 |
| No log | 5.7222 | 206 | 1.1319 | 0.1837 | 1.1319 | 1.0639 |
| No log | 5.7778 | 208 | 1.1754 | 0.2519 | 1.1754 | 1.0842 |
| No log | 5.8333 | 210 | 1.2450 | 0.2823 | 1.2450 | 1.1158 |
| No log | 5.8889 | 212 | 1.2120 | 0.2883 | 1.2120 | 1.1009 |
| No log | 5.9444 | 214 | 1.2009 | 0.2984 | 1.2009 | 1.0959 |
| No log | 6.0 | 216 | 1.1824 | 0.2984 | 1.1824 | 1.0874 |
| No log | 6.0556 | 218 | 1.1651 | 0.2678 | 1.1651 | 1.0794 |
| No log | 6.1111 | 220 | 1.1798 | 0.2388 | 1.1798 | 1.0862 |
| No log | 6.1667 | 222 | 1.2498 | 0.2527 | 1.2498 | 1.1180 |
| No log | 6.2222 | 224 | 1.2128 | 0.2782 | 1.2128 | 1.1013 |
| No log | 6.2778 | 226 | 1.1871 | 0.2764 | 1.1871 | 1.0895 |
| No log | 6.3333 | 228 | 1.2879 | 0.3134 | 1.2879 | 1.1348 |
| No log | 6.3889 | 230 | 1.3371 | 0.3080 | 1.3371 | 1.1563 |
| No log | 6.4444 | 232 | 1.2923 | 0.3539 | 1.2923 | 1.1368 |
| No log | 6.5 | 234 | 1.3931 | 0.2363 | 1.3931 | 1.1803 |
| No log | 6.5556 | 236 | 1.4804 | 0.2021 | 1.4804 | 1.2167 |
| No log | 6.6111 | 238 | 1.3489 | 0.2398 | 1.3489 | 1.1614 |
| No log | 6.6667 | 240 | 1.2299 | 0.2025 | 1.2299 | 1.1090 |
| No log | 6.7222 | 242 | 1.1878 | 0.1327 | 1.1878 | 1.0899 |
| No log | 6.7778 | 244 | 1.1897 | 0.2482 | 1.1897 | 1.0907 |
| No log | 6.8333 | 246 | 1.2352 | 0.1753 | 1.2352 | 1.1114 |
| No log | 6.8889 | 248 | 1.3842 | 0.1831 | 1.3842 | 1.1765 |
| No log | 6.9444 | 250 | 1.5277 | 0.0589 | 1.5277 | 1.2360 |
| No log | 7.0 | 252 | 1.3892 | 0.1831 | 1.3892 | 1.1786 |
| No log | 7.0556 | 254 | 1.2157 | 0.2110 | 1.2157 | 1.1026 |
| No log | 7.1111 | 256 | 1.2721 | 0.2682 | 1.2721 | 1.1279 |
| No log | 7.1667 | 258 | 1.3865 | 0.2172 | 1.3865 | 1.1775 |
| No log | 7.2222 | 260 | 1.3496 | 0.2172 | 1.3496 | 1.1617 |
| No log | 7.2778 | 262 | 1.2307 | 0.1541 | 1.2307 | 1.1094 |
| No log | 7.3333 | 264 | 1.1739 | 0.1649 | 1.1739 | 1.0835 |
| No log | 7.3889 | 266 | 1.2513 | 0.2234 | 1.2513 | 1.1186 |
| No log | 7.4444 | 268 | 1.2630 | 0.2121 | 1.2630 | 1.1239 |
| No log | 7.5 | 270 | 1.1778 | 0.2073 | 1.1778 | 1.0853 |
| No log | 7.5556 | 272 | 1.1621 | 0.2482 | 1.1621 | 1.0780 |
| No log | 7.6111 | 274 | 1.1971 | 0.3192 | 1.1971 | 1.0941 |
| No log | 7.6667 | 276 | 1.2277 | 0.2830 | 1.2277 | 1.1080 |
| No log | 7.7222 | 278 | 1.1756 | 0.2878 | 1.1756 | 1.0843 |
| No log | 7.7778 | 280 | 1.1457 | 0.1840 | 1.1457 | 1.0704 |
| No log | 7.8333 | 282 | 1.1440 | 0.2222 | 1.1440 | 1.0696 |
| No log | 7.8889 | 284 | 1.1237 | 0.1567 | 1.1237 | 1.0601 |
| No log | 7.9444 | 286 | 1.1161 | 0.1361 | 1.1161 | 1.0565 |
| No log | 8.0 | 288 | 1.1301 | 0.0983 | 1.1301 | 1.0630 |
| No log | 8.0556 | 290 | 1.1554 | 0.2049 | 1.1554 | 1.0749 |
| No log | 8.1111 | 292 | 1.1732 | 0.2049 | 1.1732 | 1.0832 |
| No log | 8.1667 | 294 | 1.1833 | 0.2158 | 1.1833 | 1.0878 |
| No log | 8.2222 | 296 | 1.1846 | 0.2698 | 1.1846 | 1.0884 |
| No log | 8.2778 | 298 | 1.1636 | 0.1833 | 1.1636 | 1.0787 |
| No log | 8.3333 | 300 | 1.1419 | 0.1334 | 1.1419 | 1.0686 |
| No log | 8.3889 | 302 | 1.1449 | 0.1671 | 1.1449 | 1.0700 |
| No log | 8.4444 | 304 | 1.1480 | 0.2001 | 1.1480 | 1.0714 |
| No log | 8.5 | 306 | 1.2056 | 0.2802 | 1.2056 | 1.0980 |
| No log | 8.5556 | 308 | 1.2554 | 0.2802 | 1.2554 | 1.1204 |
| No log | 8.6111 | 310 | 1.2248 | 0.2256 | 1.2248 | 1.1067 |
| No log | 8.6667 | 312 | 1.2277 | 0.2352 | 1.2277 | 1.1080 |
| No log | 8.7222 | 314 | 1.2278 | 0.1805 | 1.2278 | 1.1081 |
| No log | 8.7778 | 316 | 1.2115 | 0.1076 | 1.2115 | 1.1007 |
| No log | 8.8333 | 318 | 1.1906 | 0.1489 | 1.1906 | 1.0912 |
| No log | 8.8889 | 320 | 1.1593 | 0.1812 | 1.1593 | 1.0767 |
| No log | 8.9444 | 322 | 1.1668 | 0.2278 | 1.1668 | 1.0802 |
| No log | 9.0 | 324 | 1.1431 | 0.2871 | 1.1431 | 1.0692 |
| No log | 9.0556 | 326 | 1.1082 | 0.2003 | 1.1082 | 1.0527 |
| No log | 9.1111 | 328 | 1.1430 | 0.1579 | 1.1430 | 1.0691 |
| No log | 9.1667 | 330 | 1.1651 | 0.2365 | 1.1651 | 1.0794 |
| No log | 9.2222 | 332 | 1.1391 | 0.1543 | 1.1391 | 1.0673 |
| No log | 9.2778 | 334 | 1.1268 | 0.2357 | 1.1268 | 1.0615 |
| No log | 9.3333 | 336 | 1.1776 | 0.2828 | 1.1776 | 1.0852 |
| No log | 9.3889 | 338 | 1.1540 | 0.2828 | 1.1540 | 1.0742 |
| No log | 9.4444 | 340 | 1.1179 | 0.2196 | 1.1179 | 1.0573 |
| No log | 9.5 | 342 | 1.1288 | 0.2416 | 1.1288 | 1.0624 |
| No log | 9.5556 | 344 | 1.1482 | 0.2633 | 1.1482 | 1.0716 |
| No log | 9.6111 | 346 | 1.1228 | 0.2830 | 1.1228 | 1.0596 |
| No log | 9.6667 | 348 | 1.0978 | 0.3204 | 1.0978 | 1.0478 |
| No log | 9.7222 | 350 | 1.1076 | 0.3384 | 1.1076 | 1.0524 |
| No log | 9.7778 | 352 | 1.1195 | 0.3787 | 1.1195 | 1.0581 |
| No log | 9.8333 | 354 | 1.1371 | 0.3380 | 1.1371 | 1.0663 |
| No log | 9.8889 | 356 | 1.1257 | 0.3561 | 1.1257 | 1.0610 |
| No log | 9.9444 | 358 | 1.1139 | 0.3224 | 1.1139 | 1.0554 |
| No log | 10.0 | 360 | 1.1236 | 0.2669 | 1.1236 | 1.0600 |
| No log | 10.0556 | 362 | 1.1898 | 0.2348 | 1.1898 | 1.0908 |
| No log | 10.1111 | 364 | 1.2282 | 0.1472 | 1.2282 | 1.1082 |
| No log | 10.1667 | 366 | 1.2078 | 0.1984 | 1.2078 | 1.0990 |
| No log | 10.2222 | 368 | 1.1386 | 0.2716 | 1.1386 | 1.0671 |
| No log | 10.2778 | 370 | 1.1732 | 0.2416 | 1.1732 | 1.0832 |
| No log | 10.3333 | 372 | 1.2171 | 0.2252 | 1.2171 | 1.1032 |
| No log | 10.3889 | 374 | 1.2338 | 0.2252 | 1.2338 | 1.1107 |
| No log | 10.4444 | 376 | 1.1559 | 0.2836 | 1.1559 | 1.0751 |
| No log | 10.5 | 378 | 1.1201 | 0.2604 | 1.1201 | 1.0583 |
| No log | 10.5556 | 380 | 1.2202 | 0.1983 | 1.2202 | 1.1046 |
| No log | 10.6111 | 382 | 1.2318 | 0.1873 | 1.2318 | 1.1099 |
| No log | 10.6667 | 384 | 1.1498 | 0.2211 | 1.1498 | 1.0723 |
| No log | 10.7222 | 386 | 1.1231 | 0.2892 | 1.1231 | 1.0598 |
| No log | 10.7778 | 388 | 1.1089 | 0.2116 | 1.1089 | 1.0531 |
| No log | 10.8333 | 390 | 1.0969 | 0.2416 | 1.0969 | 1.0473 |
| No log | 10.8889 | 392 | 1.1006 | 0.2721 | 1.1006 | 1.0491 |
| No log | 10.9444 | 394 | 1.0969 | 0.2766 | 1.0969 | 1.0473 |
| No log | 11.0 | 396 | 1.0881 | 0.2830 | 1.0881 | 1.0431 |
| No log | 11.0556 | 398 | 1.0782 | 0.2830 | 1.0782 | 1.0384 |
| No log | 11.1111 | 400 | 1.0498 | 0.3408 | 1.0498 | 1.0246 |
| No log | 11.1667 | 402 | 1.1196 | 0.2507 | 1.1196 | 1.0581 |
| No log | 11.2222 | 404 | 1.1628 | 0.2601 | 1.1628 | 1.0783 |
| No log | 11.2778 | 406 | 1.1679 | 0.2417 | 1.1679 | 1.0807 |
| No log | 11.3333 | 408 | 1.1315 | 0.2507 | 1.1315 | 1.0637 |
| No log | 11.3889 | 410 | 1.0889 | 0.3190 | 1.0889 | 1.0435 |
| No log | 11.4444 | 412 | 1.1013 | 0.2470 | 1.1013 | 1.0494 |
| No log | 11.5 | 414 | 1.1186 | 0.3049 | 1.1186 | 1.0576 |
| No log | 11.5556 | 416 | 1.0847 | 0.2696 | 1.0847 | 1.0415 |
| No log | 11.6111 | 418 | 1.0656 | 0.2078 | 1.0656 | 1.0323 |
| No log | 11.6667 | 420 | 1.0601 | 0.2394 | 1.0601 | 1.0296 |
| No log | 11.7222 | 422 | 1.0740 | 0.3032 | 1.0740 | 1.0363 |
| No log | 11.7778 | 424 | 1.0603 | 0.3408 | 1.0603 | 1.0297 |
| No log | 11.8333 | 426 | 1.0476 | 0.3762 | 1.0476 | 1.0235 |
| No log | 11.8889 | 428 | 1.0424 | 0.3485 | 1.0424 | 1.0210 |
| No log | 11.9444 | 430 | 1.0344 | 0.2954 | 1.0344 | 1.0170 |
| No log | 12.0 | 432 | 1.0304 | 0.2304 | 1.0304 | 1.0151 |
| No log | 12.0556 | 434 | 1.0273 | 0.2834 | 1.0273 | 1.0135 |
| No log | 12.1111 | 436 | 1.0362 | 0.2761 | 1.0362 | 1.0179 |
| No log | 12.1667 | 438 | 1.0565 | 0.3117 | 1.0565 | 1.0279 |
| No log | 12.2222 | 440 | 1.0566 | 0.3117 | 1.0566 | 1.0279 |
| No log | 12.2778 | 442 | 1.0287 | 0.3981 | 1.0287 | 1.0143 |
| No log | 12.3333 | 444 | 1.0431 | 0.3680 | 1.0431 | 1.0213 |
| No log | 12.3889 | 446 | 1.0322 | 0.2899 | 1.0322 | 1.0160 |
| No log | 12.4444 | 448 | 0.9915 | 0.3596 | 0.9915 | 0.9957 |
| No log | 12.5 | 450 | 1.0169 | 0.2549 | 1.0169 | 1.0084 |
| No log | 12.5556 | 452 | 1.1163 | 0.2478 | 1.1163 | 1.0566 |
| No log | 12.6111 | 454 | 1.1507 | 0.2552 | 1.1507 | 1.0727 |
| No log | 12.6667 | 456 | 1.1019 | 0.2199 | 1.1019 | 1.0497 |
| No log | 12.7222 | 458 | 1.0279 | 0.3373 | 1.0279 | 1.0139 |
| No log | 12.7778 | 460 | 1.0413 | 0.3631 | 1.0413 | 1.0205 |
| No log | 12.8333 | 462 | 1.0679 | 0.3719 | 1.0679 | 1.0334 |
| No log | 12.8889 | 464 | 1.0415 | 0.3218 | 1.0415 | 1.0205 |
| No log | 12.9444 | 466 | 1.0237 | 0.2879 | 1.0237 | 1.0118 |
| No log | 13.0 | 468 | 1.0240 | 0.2761 | 1.0240 | 1.0119 |
| No log | 13.0556 | 470 | 1.0478 | 0.2666 | 1.0478 | 1.0236 |
| No log | 13.1111 | 472 | 1.0276 | 0.3097 | 1.0276 | 1.0137 |
| No log | 13.1667 | 474 | 1.0045 | 0.3373 | 1.0045 | 1.0023 |
| No log | 13.2222 | 476 | 1.0004 | 0.4279 | 1.0004 | 1.0002 |
| No log | 13.2778 | 478 | 1.0116 | 0.3896 | 1.0116 | 1.0058 |
| No log | 13.3333 | 480 | 0.9953 | 0.3356 | 0.9953 | 0.9976 |
| No log | 13.3889 | 482 | 0.9977 | 0.3356 | 0.9977 | 0.9989 |
| No log | 13.4444 | 484 | 1.0068 | 0.2615 | 1.0068 | 1.0034 |
| No log | 13.5 | 486 | 1.0522 | 0.1909 | 1.0522 | 1.0258 |
| No log | 13.5556 | 488 | 1.1509 | 0.2951 | 1.1509 | 1.0728 |
| No log | 13.6111 | 490 | 1.1621 | 0.3528 | 1.1621 | 1.0780 |
| No log | 13.6667 | 492 | 1.1381 | 0.3357 | 1.1381 | 1.0668 |
| No log | 13.7222 | 494 | 1.1323 | 0.2961 | 1.1323 | 1.0641 |
| No log | 13.7778 | 496 | 1.1121 | 0.2424 | 1.1121 | 1.0546 |
| No log | 13.8333 | 498 | 1.1071 | 0.2424 | 1.1071 | 1.0522 |
| 0.3322 | 13.8889 | 500 | 1.1449 | 0.3069 | 1.1449 | 1.0700 |
| 0.3322 | 13.9444 | 502 | 1.1388 | 0.3572 | 1.1388 | 1.0671 |
| 0.3322 | 14.0 | 504 | 1.0859 | 0.2040 | 1.0859 | 1.0421 |
| 0.3322 | 14.0556 | 506 | 1.0746 | 0.2871 | 1.0746 | 1.0366 |
| 0.3322 | 14.1111 | 508 | 1.0551 | 0.2871 | 1.0551 | 1.0272 |
| 0.3322 | 14.1667 | 510 | 1.0281 | 0.2942 | 1.0281 | 1.0140 |
| 0.3322 | 14.2222 | 512 | 1.0297 | 0.2857 | 1.0297 | 1.0147 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 1
Model tree for MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k8_task5_organization
Base model
aubmindlab/bert-base-arabertv02