Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_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: 1.3142
- Qwk: 0.1118
- Mse: 1.3142
- Rmse: 1.1464
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 | 0.0206 | 2 | 4.9637 | 0.0010 | 4.9637 | 2.2279 |
| No log | 0.0412 | 4 | 3.1314 | -0.0934 | 3.1314 | 1.7696 |
| No log | 0.0619 | 6 | 2.6973 | -0.0903 | 2.6973 | 1.6424 |
| No log | 0.0825 | 8 | 2.1223 | -0.0818 | 2.1223 | 1.4568 |
| No log | 0.1031 | 10 | 1.3743 | -0.0783 | 1.3743 | 1.1723 |
| No log | 0.1237 | 12 | 1.2273 | 0.0682 | 1.2273 | 1.1078 |
| No log | 0.1443 | 14 | 1.2393 | 0.1601 | 1.2393 | 1.1133 |
| No log | 0.1649 | 16 | 1.4466 | 0.0339 | 1.4466 | 1.2028 |
| No log | 0.1856 | 18 | 1.5402 | 0.0393 | 1.5402 | 1.2410 |
| No log | 0.2062 | 20 | 1.4795 | 0.0339 | 1.4795 | 1.2164 |
| No log | 0.2268 | 22 | 1.3533 | 0.0210 | 1.3533 | 1.1633 |
| No log | 0.2474 | 24 | 1.4212 | 0.0210 | 1.4212 | 1.1922 |
| No log | 0.2680 | 26 | 1.4004 | 0.0253 | 1.4004 | 1.1834 |
| No log | 0.2887 | 28 | 1.3856 | 0.0370 | 1.3856 | 1.1771 |
| No log | 0.3093 | 30 | 1.3733 | 0.1142 | 1.3733 | 1.1719 |
| No log | 0.3299 | 32 | 1.3648 | 0.0532 | 1.3648 | 1.1683 |
| No log | 0.3505 | 34 | 1.4921 | -0.0422 | 1.4921 | 1.2215 |
| No log | 0.3711 | 36 | 1.7118 | 0.0082 | 1.7118 | 1.3084 |
| No log | 0.3918 | 38 | 2.1394 | 0.0094 | 2.1394 | 1.4627 |
| No log | 0.4124 | 40 | 2.1312 | 0.0407 | 2.1312 | 1.4599 |
| No log | 0.4330 | 42 | 1.8260 | 0.0504 | 1.8260 | 1.3513 |
| No log | 0.4536 | 44 | 1.4316 | 0.0682 | 1.4316 | 1.1965 |
| No log | 0.4742 | 46 | 1.2042 | 0.2203 | 1.2042 | 1.0974 |
| No log | 0.4948 | 48 | 1.1687 | 0.1470 | 1.1687 | 1.0811 |
| No log | 0.5155 | 50 | 1.2459 | 0.0771 | 1.2459 | 1.1162 |
| No log | 0.5361 | 52 | 1.2908 | 0.0253 | 1.2908 | 1.1361 |
| No log | 0.5567 | 54 | 1.3320 | 0.0628 | 1.3320 | 1.1541 |
| No log | 0.5773 | 56 | 1.3109 | 0.0054 | 1.3109 | 1.1450 |
| No log | 0.5979 | 58 | 1.2914 | 0.0571 | 1.2914 | 1.1364 |
| No log | 0.6186 | 60 | 1.2817 | 0.0909 | 1.2817 | 1.1321 |
| No log | 0.6392 | 62 | 1.2793 | 0.1242 | 1.2793 | 1.1311 |
| No log | 0.6598 | 64 | 1.2692 | 0.0909 | 1.2692 | 1.1266 |
| No log | 0.6804 | 66 | 1.2585 | 0.2314 | 1.2585 | 1.1218 |
| No log | 0.7010 | 68 | 1.2990 | 0.0522 | 1.2990 | 1.1397 |
| No log | 0.7216 | 70 | 1.3682 | 0.0319 | 1.3682 | 1.1697 |
| No log | 0.7423 | 72 | 1.4123 | 0.0449 | 1.4123 | 1.1884 |
| No log | 0.7629 | 74 | 1.2881 | 0.0704 | 1.2881 | 1.1350 |
| No log | 0.7835 | 76 | 1.2355 | 0.1870 | 1.2355 | 1.1115 |
| No log | 0.8041 | 78 | 1.1982 | 0.2048 | 1.1982 | 1.0946 |
| No log | 0.8247 | 80 | 1.2376 | 0.1430 | 1.2376 | 1.1125 |
| No log | 0.8454 | 82 | 1.3251 | 0.1764 | 1.3251 | 1.1511 |
| No log | 0.8660 | 84 | 1.2585 | 0.1278 | 1.2585 | 1.1218 |
| No log | 0.8866 | 86 | 1.2104 | 0.1584 | 1.2104 | 1.1002 |
| No log | 0.9072 | 88 | 1.2041 | 0.1983 | 1.2041 | 1.0973 |
| No log | 0.9278 | 90 | 1.3156 | 0.1707 | 1.3156 | 1.1470 |
| No log | 0.9485 | 92 | 1.4935 | 0.1447 | 1.4935 | 1.2221 |
| No log | 0.9691 | 94 | 1.5198 | 0.1447 | 1.5198 | 1.2328 |
| No log | 0.9897 | 96 | 1.2988 | 0.1312 | 1.2988 | 1.1397 |
| No log | 1.0103 | 98 | 1.2609 | 0.1205 | 1.2609 | 1.1229 |
| No log | 1.0309 | 100 | 1.4995 | -0.0096 | 1.4995 | 1.2245 |
| No log | 1.0515 | 102 | 1.5661 | 0.0362 | 1.5661 | 1.2514 |
| No log | 1.0722 | 104 | 1.4660 | -0.0096 | 1.4660 | 1.2108 |
| No log | 1.0928 | 106 | 1.2937 | 0.0587 | 1.2937 | 1.1374 |
| No log | 1.1134 | 108 | 1.2590 | 0.1662 | 1.2590 | 1.1220 |
| No log | 1.1340 | 110 | 1.4388 | 0.0526 | 1.4388 | 1.1995 |
| No log | 1.1546 | 112 | 1.5065 | 0.0186 | 1.5065 | 1.2274 |
| No log | 1.1753 | 114 | 1.3663 | 0.0612 | 1.3663 | 1.1689 |
| No log | 1.1959 | 116 | 1.3110 | 0.0817 | 1.3110 | 1.1450 |
| No log | 1.2165 | 118 | 1.4994 | -0.0182 | 1.4994 | 1.2245 |
| No log | 1.2371 | 120 | 1.6039 | -0.0352 | 1.6039 | 1.2664 |
| No log | 1.2577 | 122 | 1.4516 | -0.0096 | 1.4516 | 1.2048 |
| No log | 1.2784 | 124 | 1.2921 | 0.0780 | 1.2921 | 1.1367 |
| No log | 1.2990 | 126 | 1.5667 | 0.1713 | 1.5667 | 1.2517 |
| No log | 1.3196 | 128 | 1.8994 | 0.0995 | 1.8994 | 1.3782 |
| No log | 1.3402 | 130 | 1.7857 | 0.1458 | 1.7857 | 1.3363 |
| No log | 1.3608 | 132 | 1.3380 | 0.2003 | 1.3380 | 1.1567 |
| No log | 1.3814 | 134 | 1.4887 | 0.0186 | 1.4887 | 1.2201 |
| No log | 1.4021 | 136 | 1.4735 | 0.0299 | 1.4735 | 1.2139 |
| No log | 1.4227 | 138 | 1.3787 | 0.1490 | 1.3787 | 1.1742 |
| No log | 1.4433 | 140 | 1.5052 | 0.1518 | 1.5052 | 1.2268 |
| No log | 1.4639 | 142 | 1.6212 | 0.1436 | 1.6212 | 1.2733 |
| No log | 1.4845 | 144 | 1.6546 | 0.1530 | 1.6546 | 1.2863 |
| No log | 1.5052 | 146 | 1.6003 | 0.2055 | 1.6003 | 1.2650 |
| No log | 1.5258 | 148 | 1.5632 | 0.2017 | 1.5632 | 1.2503 |
| No log | 1.5464 | 150 | 1.6565 | 0.2260 | 1.6565 | 1.2871 |
| No log | 1.5670 | 152 | 1.7669 | 0.2078 | 1.7669 | 1.3292 |
| No log | 1.5876 | 154 | 1.7768 | 0.1588 | 1.7768 | 1.3330 |
| No log | 1.6082 | 156 | 1.5908 | 0.1891 | 1.5908 | 1.2613 |
| No log | 1.6289 | 158 | 1.4909 | 0.1091 | 1.4909 | 1.2210 |
| No log | 1.6495 | 160 | 1.5198 | 0.1503 | 1.5198 | 1.2328 |
| No log | 1.6701 | 162 | 1.5823 | 0.1646 | 1.5823 | 1.2579 |
| No log | 1.6907 | 164 | 1.5560 | 0.1648 | 1.5560 | 1.2474 |
| No log | 1.7113 | 166 | 1.6089 | 0.1508 | 1.6089 | 1.2684 |
| No log | 1.7320 | 168 | 1.7434 | 0.1787 | 1.7434 | 1.3204 |
| No log | 1.7526 | 170 | 1.8444 | 0.1303 | 1.8444 | 1.3581 |
| No log | 1.7732 | 172 | 1.8347 | 0.1239 | 1.8347 | 1.3545 |
| No log | 1.7938 | 174 | 1.6946 | 0.2164 | 1.6946 | 1.3018 |
| No log | 1.8144 | 176 | 1.5831 | 0.2248 | 1.5831 | 1.2582 |
| No log | 1.8351 | 178 | 1.5778 | 0.1942 | 1.5778 | 1.2561 |
| No log | 1.8557 | 180 | 1.7596 | 0.0902 | 1.7596 | 1.3265 |
| No log | 1.8763 | 182 | 1.7947 | 0.1557 | 1.7947 | 1.3397 |
| No log | 1.8969 | 184 | 1.5084 | 0.2025 | 1.5084 | 1.2282 |
| No log | 1.9175 | 186 | 1.3841 | 0.1406 | 1.3841 | 1.1765 |
| No log | 1.9381 | 188 | 1.3960 | 0.1564 | 1.3960 | 1.1815 |
| No log | 1.9588 | 190 | 1.5271 | 0.1674 | 1.5271 | 1.2358 |
| No log | 1.9794 | 192 | 1.6192 | 0.2025 | 1.6192 | 1.2725 |
| No log | 2.0 | 194 | 1.5659 | 0.1674 | 1.5659 | 1.2513 |
| No log | 2.0206 | 196 | 1.5861 | 0.1768 | 1.5861 | 1.2594 |
| No log | 2.0412 | 198 | 1.6687 | 0.2468 | 1.6687 | 1.2918 |
| No log | 2.0619 | 200 | 1.6510 | 0.2457 | 1.6510 | 1.2849 |
| No log | 2.0825 | 202 | 1.6360 | 0.2108 | 1.6360 | 1.2790 |
| No log | 2.1031 | 204 | 1.5282 | 0.0487 | 1.5282 | 1.2362 |
| No log | 2.1237 | 206 | 1.5183 | 0.0554 | 1.5183 | 1.2322 |
| No log | 2.1443 | 208 | 1.6439 | 0.2321 | 1.6439 | 1.2821 |
| No log | 2.1649 | 210 | 1.9605 | 0.1281 | 1.9605 | 1.4002 |
| No log | 2.1856 | 212 | 1.9620 | 0.1401 | 1.9620 | 1.4007 |
| No log | 2.2062 | 214 | 1.6401 | 0.0525 | 1.6401 | 1.2807 |
| No log | 2.2268 | 216 | 1.5096 | 0.0240 | 1.5096 | 1.2286 |
| No log | 2.2474 | 218 | 1.4609 | 0.0171 | 1.4609 | 1.2087 |
| No log | 2.2680 | 220 | 1.5185 | 0.1663 | 1.5185 | 1.2323 |
| No log | 2.2887 | 222 | 1.9838 | 0.0924 | 1.9838 | 1.4085 |
| No log | 2.3093 | 224 | 2.1953 | 0.0433 | 2.1953 | 1.4817 |
| No log | 2.3299 | 226 | 2.0482 | 0.0546 | 2.0482 | 1.4311 |
| No log | 2.3505 | 228 | 1.6957 | 0.1923 | 1.6957 | 1.3022 |
| No log | 2.3711 | 230 | 1.3780 | 0.0675 | 1.3780 | 1.1739 |
| No log | 2.3918 | 232 | 1.3124 | 0.0415 | 1.3124 | 1.1456 |
| No log | 2.4124 | 234 | 1.3148 | 0.0857 | 1.3148 | 1.1467 |
| No log | 2.4330 | 236 | 1.4182 | 0.1991 | 1.4182 | 1.1909 |
| No log | 2.4536 | 238 | 1.6158 | 0.2359 | 1.6158 | 1.2711 |
| No log | 2.4742 | 240 | 1.6777 | 0.2359 | 1.6777 | 1.2953 |
| No log | 2.4948 | 242 | 1.6005 | 0.2181 | 1.6005 | 1.2651 |
| No log | 2.5155 | 244 | 1.5359 | 0.2289 | 1.5359 | 1.2393 |
| No log | 2.5361 | 246 | 1.4621 | 0.1891 | 1.4621 | 1.2092 |
| No log | 2.5567 | 248 | 1.4988 | 0.2337 | 1.4988 | 1.2242 |
| No log | 2.5773 | 250 | 1.6028 | 0.1849 | 1.6028 | 1.2660 |
| No log | 2.5979 | 252 | 1.5513 | 0.1634 | 1.5513 | 1.2455 |
| No log | 2.6186 | 254 | 1.5116 | 0.1428 | 1.5116 | 1.2295 |
| No log | 2.6392 | 256 | 1.5426 | 0.1022 | 1.5426 | 1.2420 |
| No log | 2.6598 | 258 | 1.6218 | 0.1364 | 1.6218 | 1.2735 |
| No log | 2.6804 | 260 | 1.6999 | 0.1230 | 1.6999 | 1.3038 |
| No log | 2.7010 | 262 | 1.7478 | 0.1547 | 1.7478 | 1.3220 |
| No log | 2.7216 | 264 | 1.6331 | 0.1670 | 1.6331 | 1.2779 |
| No log | 2.7423 | 266 | 1.4958 | 0.1850 | 1.4958 | 1.2230 |
| No log | 2.7629 | 268 | 1.3992 | 0.0760 | 1.3992 | 1.1829 |
| No log | 2.7835 | 270 | 1.3911 | 0.1090 | 1.3911 | 1.1795 |
| No log | 2.8041 | 272 | 1.4836 | 0.1850 | 1.4836 | 1.2180 |
| No log | 2.8247 | 274 | 1.7863 | 0.1186 | 1.7863 | 1.3365 |
| No log | 2.8454 | 276 | 2.0064 | 0.1184 | 2.0064 | 1.4165 |
| No log | 2.8660 | 278 | 2.0055 | 0.1026 | 2.0055 | 1.4161 |
| No log | 2.8866 | 280 | 1.8780 | 0.1650 | 1.8780 | 1.3704 |
| No log | 2.9072 | 282 | 1.6609 | 0.1713 | 1.6609 | 1.2887 |
| No log | 2.9278 | 284 | 1.4863 | 0.1801 | 1.4863 | 1.2191 |
| No log | 2.9485 | 286 | 1.4104 | 0.1753 | 1.4104 | 1.1876 |
| No log | 2.9691 | 288 | 1.3685 | 0.1896 | 1.3685 | 1.1698 |
| No log | 2.9897 | 290 | 1.3870 | 0.2080 | 1.3870 | 1.1777 |
| No log | 3.0103 | 292 | 1.4134 | 0.2173 | 1.4134 | 1.1889 |
| No log | 3.0309 | 294 | 1.4002 | 0.2460 | 1.4002 | 1.1833 |
| No log | 3.0515 | 296 | 1.4351 | 0.2132 | 1.4351 | 1.1980 |
| No log | 3.0722 | 298 | 1.5185 | 0.2028 | 1.5185 | 1.2323 |
| No log | 3.0928 | 300 | 1.6726 | 0.2047 | 1.6726 | 1.2933 |
| No log | 3.1134 | 302 | 1.7883 | 0.2595 | 1.7883 | 1.3373 |
| No log | 3.1340 | 304 | 1.6852 | 0.2084 | 1.6852 | 1.2981 |
| No log | 3.1546 | 306 | 1.4864 | 0.1713 | 1.4864 | 1.2192 |
| No log | 3.1753 | 308 | 1.4262 | 0.2132 | 1.4262 | 1.1942 |
| No log | 3.1959 | 310 | 1.4558 | 0.2224 | 1.4558 | 1.2066 |
| No log | 3.2165 | 312 | 1.4885 | 0.2725 | 1.4885 | 1.2200 |
| No log | 3.2371 | 314 | 1.3971 | 0.2224 | 1.3971 | 1.1820 |
| No log | 3.2577 | 316 | 1.2949 | 0.1118 | 1.2949 | 1.1380 |
| No log | 3.2784 | 318 | 1.2886 | 0.1696 | 1.2886 | 1.1352 |
| No log | 3.2990 | 320 | 1.3765 | 0.1891 | 1.3765 | 1.1733 |
| No log | 3.3196 | 322 | 1.5452 | 0.2485 | 1.5452 | 1.2431 |
| No log | 3.3402 | 324 | 1.5247 | 0.2863 | 1.5247 | 1.2348 |
| No log | 3.3608 | 326 | 1.3627 | 0.2032 | 1.3627 | 1.1674 |
| No log | 3.3814 | 328 | 1.2294 | 0.1658 | 1.2294 | 1.1088 |
| No log | 3.4021 | 330 | 1.2294 | 0.1658 | 1.2294 | 1.1088 |
| No log | 3.4227 | 332 | 1.3157 | 0.2132 | 1.3157 | 1.1470 |
| No log | 3.4433 | 334 | 1.3630 | 0.2301 | 1.3630 | 1.1675 |
| No log | 3.4639 | 336 | 1.3335 | 0.1943 | 1.3335 | 1.1548 |
| No log | 3.4845 | 338 | 1.4607 | 0.2017 | 1.4607 | 1.2086 |
| No log | 3.5052 | 340 | 1.5258 | 0.1929 | 1.5258 | 1.2352 |
| No log | 3.5258 | 342 | 1.4323 | 0.2559 | 1.4323 | 1.1968 |
| No log | 3.5464 | 344 | 1.3754 | 0.1650 | 1.3754 | 1.1728 |
| No log | 3.5670 | 346 | 1.3247 | 0.1650 | 1.3247 | 1.1510 |
| No log | 3.5876 | 348 | 1.3610 | 0.1795 | 1.3610 | 1.1666 |
| No log | 3.6082 | 350 | 1.4606 | 0.2574 | 1.4606 | 1.2085 |
| No log | 3.6289 | 352 | 1.4665 | 0.2704 | 1.4665 | 1.2110 |
| No log | 3.6495 | 354 | 1.3666 | 0.1703 | 1.3666 | 1.1690 |
| No log | 3.6701 | 356 | 1.4150 | 0.2494 | 1.4150 | 1.1895 |
| No log | 3.6907 | 358 | 1.5207 | 0.2144 | 1.5207 | 1.2332 |
| No log | 3.7113 | 360 | 1.6052 | 0.2424 | 1.6052 | 1.2670 |
| No log | 3.7320 | 362 | 1.5166 | 0.1646 | 1.5166 | 1.2315 |
| No log | 3.7526 | 364 | 1.4502 | 0.1283 | 1.4502 | 1.2042 |
| No log | 3.7732 | 366 | 1.3675 | 0.0937 | 1.3675 | 1.1694 |
| No log | 3.7938 | 368 | 1.3750 | 0.0937 | 1.3750 | 1.1726 |
| No log | 3.8144 | 370 | 1.3688 | 0.1122 | 1.3688 | 1.1700 |
| No log | 3.8351 | 372 | 1.4893 | 0.2410 | 1.4893 | 1.2204 |
| No log | 3.8557 | 374 | 1.5589 | 0.2410 | 1.5589 | 1.2486 |
| No log | 3.8763 | 376 | 1.5110 | 0.2080 | 1.5110 | 1.2292 |
| No log | 3.8969 | 378 | 1.4041 | 0.1903 | 1.4041 | 1.1850 |
| No log | 3.9175 | 380 | 1.4281 | 0.2207 | 1.4281 | 1.1950 |
| No log | 3.9381 | 382 | 1.5214 | 0.1943 | 1.5214 | 1.2335 |
| No log | 3.9588 | 384 | 1.5740 | 0.1254 | 1.5740 | 1.2546 |
| No log | 3.9794 | 386 | 1.5505 | 0.1585 | 1.5505 | 1.2452 |
| No log | 4.0 | 388 | 1.5203 | 0.1417 | 1.5203 | 1.2330 |
| No log | 4.0206 | 390 | 1.4812 | 0.1535 | 1.4812 | 1.2171 |
| No log | 4.0412 | 392 | 1.4207 | 0.1312 | 1.4207 | 1.1919 |
| No log | 4.0619 | 394 | 1.3943 | 0.1159 | 1.3943 | 1.1808 |
| No log | 4.0825 | 396 | 1.3609 | 0.0857 | 1.3609 | 1.1666 |
| No log | 4.1031 | 398 | 1.3253 | 0.0857 | 1.3253 | 1.1512 |
| No log | 4.1237 | 400 | 1.3171 | 0.0857 | 1.3171 | 1.1477 |
| No log | 4.1443 | 402 | 1.3258 | 0.1185 | 1.3258 | 1.1515 |
| No log | 4.1649 | 404 | 1.3555 | 0.1159 | 1.3555 | 1.1643 |
| No log | 4.1856 | 406 | 1.4039 | 0.1570 | 1.4039 | 1.1849 |
| No log | 4.2062 | 408 | 1.4160 | 0.1570 | 1.4160 | 1.1900 |
| No log | 4.2268 | 410 | 1.4376 | 0.2252 | 1.4376 | 1.1990 |
| No log | 4.2474 | 412 | 1.4052 | 0.2410 | 1.4052 | 1.1854 |
| No log | 4.2680 | 414 | 1.4098 | 0.2410 | 1.4098 | 1.1874 |
| No log | 4.2887 | 416 | 1.3968 | 0.1980 | 1.3968 | 1.1819 |
| No log | 4.3093 | 418 | 1.4320 | 0.2115 | 1.4320 | 1.1966 |
| No log | 4.3299 | 420 | 1.3944 | 0.1848 | 1.3944 | 1.1809 |
| No log | 4.3505 | 422 | 1.3910 | 0.2212 | 1.3910 | 1.1794 |
| No log | 4.3711 | 424 | 1.4243 | 0.2250 | 1.4243 | 1.1934 |
| No log | 4.3918 | 426 | 1.4979 | 0.1643 | 1.4979 | 1.2239 |
| No log | 4.4124 | 428 | 1.5571 | 0.1643 | 1.5571 | 1.2479 |
| No log | 4.4330 | 430 | 1.5233 | 0.1643 | 1.5233 | 1.2342 |
| No log | 4.4536 | 432 | 1.5370 | 0.1643 | 1.5370 | 1.2397 |
| No log | 4.4742 | 434 | 1.4275 | 0.2250 | 1.4275 | 1.1948 |
| No log | 4.4948 | 436 | 1.3668 | 0.2664 | 1.3668 | 1.1691 |
| No log | 4.5155 | 438 | 1.4128 | 0.2250 | 1.4128 | 1.1886 |
| No log | 4.5361 | 440 | 1.5340 | 0.2009 | 1.5340 | 1.2386 |
| No log | 4.5567 | 442 | 1.7324 | 0.2220 | 1.7324 | 1.3162 |
| No log | 4.5773 | 444 | 1.7580 | 0.1997 | 1.7580 | 1.3259 |
| No log | 4.5979 | 446 | 1.5450 | 0.2789 | 1.5450 | 1.2430 |
| No log | 4.6186 | 448 | 1.3142 | 0.125 | 1.3142 | 1.1464 |
| No log | 4.6392 | 450 | 1.2575 | 0.1599 | 1.2575 | 1.1214 |
| No log | 4.6598 | 452 | 1.2770 | 0.1441 | 1.2770 | 1.1301 |
| No log | 4.6804 | 454 | 1.3814 | 0.2278 | 1.3814 | 1.1753 |
| No log | 4.7010 | 456 | 1.4196 | 0.2278 | 1.4196 | 1.1915 |
| No log | 4.7216 | 458 | 1.4256 | 0.2278 | 1.4256 | 1.1940 |
| No log | 4.7423 | 460 | 1.3310 | 0.1637 | 1.3310 | 1.1537 |
| No log | 4.7629 | 462 | 1.2369 | 0.0857 | 1.2369 | 1.1122 |
| No log | 4.7835 | 464 | 1.2192 | 0.0857 | 1.2192 | 1.1042 |
| No log | 4.8041 | 466 | 1.2490 | 0.1637 | 1.2490 | 1.1176 |
| No log | 4.8247 | 468 | 1.2403 | 0.1637 | 1.2403 | 1.1137 |
| No log | 4.8454 | 470 | 1.2449 | 0.1637 | 1.2449 | 1.1158 |
| No log | 4.8660 | 472 | 1.3107 | 0.2553 | 1.3107 | 1.1449 |
| No log | 4.8866 | 474 | 1.3161 | 0.2553 | 1.3161 | 1.1472 |
| No log | 4.9072 | 476 | 1.3745 | 0.2586 | 1.3745 | 1.1724 |
| No log | 4.9278 | 478 | 1.3580 | 0.2460 | 1.3580 | 1.1653 |
| No log | 4.9485 | 480 | 1.2988 | 0.2132 | 1.2988 | 1.1396 |
| No log | 4.9691 | 482 | 1.3177 | 0.2132 | 1.3177 | 1.1479 |
| No log | 4.9897 | 484 | 1.3638 | 0.2460 | 1.3638 | 1.1678 |
| No log | 5.0103 | 486 | 1.3783 | 0.2586 | 1.3783 | 1.1740 |
| No log | 5.0309 | 488 | 1.3812 | 0.1713 | 1.3812 | 1.1753 |
| No log | 5.0515 | 490 | 1.3938 | 0.1801 | 1.3938 | 1.1806 |
| No log | 5.0722 | 492 | 1.3506 | 0.2046 | 1.3506 | 1.1622 |
| No log | 5.0928 | 494 | 1.3948 | 0.1848 | 1.3948 | 1.1810 |
| No log | 5.1134 | 496 | 1.3626 | 0.1989 | 1.3626 | 1.1673 |
| No log | 5.1340 | 498 | 1.3874 | 0.2032 | 1.3874 | 1.1779 |
| 0.4296 | 5.1546 | 500 | 1.3124 | 0.1750 | 1.3124 | 1.1456 |
| 0.4296 | 5.1753 | 502 | 1.2515 | 0.2009 | 1.2515 | 1.1187 |
| 0.4296 | 5.1959 | 504 | 1.2797 | 0.1599 | 1.2797 | 1.1312 |
| 0.4296 | 5.2165 | 506 | 1.4291 | 0.2224 | 1.4291 | 1.1955 |
| 0.4296 | 5.2371 | 508 | 1.6606 | 0.1802 | 1.6606 | 1.2887 |
| 0.4296 | 5.2577 | 510 | 1.6735 | 0.1516 | 1.6735 | 1.2936 |
| 0.4296 | 5.2784 | 512 | 1.5595 | 0.0623 | 1.5595 | 1.2488 |
| 0.4296 | 5.2990 | 514 | 1.5073 | 0.1283 | 1.5073 | 1.2277 |
| 0.4296 | 5.3196 | 516 | 1.5402 | 0.2131 | 1.5402 | 1.2411 |
| 0.4296 | 5.3402 | 518 | 1.6729 | 0.2359 | 1.6729 | 1.2934 |
| 0.4296 | 5.3608 | 520 | 1.7373 | 0.2162 | 1.7373 | 1.3181 |
| 0.4296 | 5.3814 | 522 | 1.6440 | 0.2251 | 1.6440 | 1.2822 |
| 0.4296 | 5.4021 | 524 | 1.4578 | 0.2790 | 1.4578 | 1.2074 |
| 0.4296 | 5.4227 | 526 | 1.3779 | 0.1692 | 1.3779 | 1.1738 |
| 0.4296 | 5.4433 | 528 | 1.3957 | 0.1692 | 1.3957 | 1.1814 |
| 0.4296 | 5.4639 | 530 | 1.4469 | 0.1889 | 1.4469 | 1.2029 |
| 0.4296 | 5.4845 | 532 | 1.4049 | 0.1889 | 1.4049 | 1.1853 |
| 0.4296 | 5.5052 | 534 | 1.3483 | 0.2278 | 1.3483 | 1.1612 |
| 0.4296 | 5.5258 | 536 | 1.2618 | 0.1538 | 1.2618 | 1.1233 |
| 0.4296 | 5.5464 | 538 | 1.2630 | 0.1846 | 1.2630 | 1.1238 |
| 0.4296 | 5.5670 | 540 | 1.3098 | 0.1943 | 1.3098 | 1.1445 |
| 0.4296 | 5.5876 | 542 | 1.3429 | 0.2460 | 1.3429 | 1.1588 |
| 0.4296 | 5.6082 | 544 | 1.2780 | 0.1943 | 1.2780 | 1.1305 |
| 0.4296 | 5.6289 | 546 | 1.2003 | 0.1538 | 1.2003 | 1.0956 |
| 0.4296 | 5.6495 | 548 | 1.1998 | 0.1538 | 1.1998 | 1.0954 |
| 0.4296 | 5.6701 | 550 | 1.2791 | 0.1650 | 1.2791 | 1.1310 |
| 0.4296 | 5.6907 | 552 | 1.3807 | 0.2725 | 1.3807 | 1.1750 |
| 0.4296 | 5.7113 | 554 | 1.3937 | 0.2460 | 1.3937 | 1.1805 |
| 0.4296 | 5.7320 | 556 | 1.3210 | 0.1707 | 1.3210 | 1.1493 |
| 0.4296 | 5.7526 | 558 | 1.3110 | 0.0786 | 1.3110 | 1.1450 |
| 0.4296 | 5.7732 | 560 | 1.3599 | 0.1279 | 1.3599 | 1.1661 |
| 0.4296 | 5.7938 | 562 | 1.4467 | 0.2367 | 1.4467 | 1.2028 |
| 0.4296 | 5.8144 | 564 | 1.4599 | 0.2367 | 1.4599 | 1.2083 |
| 0.4296 | 5.8351 | 566 | 1.4438 | 0.2460 | 1.4438 | 1.2016 |
| 0.4296 | 5.8557 | 568 | 1.3589 | 0.1650 | 1.3589 | 1.1657 |
| 0.4296 | 5.8763 | 570 | 1.3082 | 0.1345 | 1.3082 | 1.1438 |
| 0.4296 | 5.8969 | 572 | 1.2891 | 0.1217 | 1.2891 | 1.1354 |
| 0.4296 | 5.9175 | 574 | 1.2829 | 0.0513 | 1.2829 | 1.1327 |
| 0.4296 | 5.9381 | 576 | 1.3142 | 0.1118 | 1.3142 | 1.1464 |
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_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task2_organization
Base model
aubmindlab/bert-base-arabertv02