Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_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_run2_AugV5_k2_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_run2_AugV5_k2_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_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: 1.1292
- Qwk: 0.1281
- Mse: 1.1292
- Rmse: 1.0626
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 | 0.1818 | 2 | 4.8248 | -0.0104 | 4.8248 | 2.1965 |
| No log | 0.3636 | 4 | 2.8603 | -0.0233 | 2.8603 | 1.6912 |
| No log | 0.5455 | 6 | 1.8661 | 0.0169 | 1.8661 | 1.3660 |
| No log | 0.7273 | 8 | 1.5153 | 0.1021 | 1.5153 | 1.2310 |
| No log | 0.9091 | 10 | 1.2010 | 0.2300 | 1.2010 | 1.0959 |
| No log | 1.0909 | 12 | 1.4580 | 0.0522 | 1.4580 | 1.2075 |
| No log | 1.2727 | 14 | 1.6197 | -0.0412 | 1.6197 | 1.2727 |
| No log | 1.4545 | 16 | 1.5182 | -0.0321 | 1.5182 | 1.2321 |
| No log | 1.6364 | 18 | 1.3607 | 0.0948 | 1.3607 | 1.1665 |
| No log | 1.8182 | 20 | 1.5140 | -0.0234 | 1.5140 | 1.2305 |
| No log | 2.0 | 22 | 1.6290 | -0.0029 | 1.6290 | 1.2763 |
| No log | 2.1818 | 24 | 1.4574 | -0.0147 | 1.4574 | 1.2072 |
| No log | 2.3636 | 26 | 1.3173 | 0.1423 | 1.3173 | 1.1477 |
| No log | 2.5455 | 28 | 1.3983 | 0.0497 | 1.3983 | 1.1825 |
| No log | 2.7273 | 30 | 1.5877 | 0.0362 | 1.5877 | 1.2600 |
| No log | 2.9091 | 32 | 1.5186 | 0.0600 | 1.5186 | 1.2323 |
| No log | 3.0909 | 34 | 1.2753 | 0.1584 | 1.2753 | 1.1293 |
| No log | 3.2727 | 36 | 1.1546 | 0.2745 | 1.1546 | 1.0745 |
| No log | 3.4545 | 38 | 1.4473 | 0.0513 | 1.4473 | 1.2031 |
| No log | 3.6364 | 40 | 1.7082 | 0.0331 | 1.7082 | 1.3070 |
| No log | 3.8182 | 42 | 1.5906 | 0.0656 | 1.5906 | 1.2612 |
| No log | 4.0 | 44 | 1.3154 | 0.1905 | 1.3154 | 1.1469 |
| No log | 4.1818 | 46 | 1.2508 | 0.1640 | 1.2508 | 1.1184 |
| No log | 4.3636 | 48 | 1.2706 | 0.1640 | 1.2706 | 1.1272 |
| No log | 4.5455 | 50 | 1.3319 | 0.2365 | 1.3319 | 1.1541 |
| No log | 4.7273 | 52 | 1.3576 | 0.2999 | 1.3576 | 1.1652 |
| No log | 4.9091 | 54 | 1.3269 | 0.2411 | 1.3269 | 1.1519 |
| No log | 5.0909 | 56 | 1.3230 | 0.2497 | 1.3230 | 1.1502 |
| No log | 5.2727 | 58 | 1.3661 | 0.2979 | 1.3661 | 1.1688 |
| No log | 5.4545 | 60 | 1.3852 | 0.2816 | 1.3852 | 1.1770 |
| No log | 5.6364 | 62 | 1.3586 | 0.2291 | 1.3586 | 1.1656 |
| No log | 5.8182 | 64 | 1.3795 | 0.2338 | 1.3795 | 1.1745 |
| No log | 6.0 | 66 | 1.3728 | 0.2644 | 1.3728 | 1.1717 |
| No log | 6.1818 | 68 | 1.4071 | 0.2638 | 1.4071 | 1.1862 |
| No log | 6.3636 | 70 | 1.5624 | 0.1098 | 1.5624 | 1.2500 |
| No log | 6.5455 | 72 | 1.6459 | 0.2468 | 1.6459 | 1.2829 |
| No log | 6.7273 | 74 | 1.5475 | 0.1612 | 1.5475 | 1.2440 |
| No log | 6.9091 | 76 | 1.4675 | 0.2424 | 1.4675 | 1.2114 |
| No log | 7.0909 | 78 | 1.4680 | 0.2007 | 1.4680 | 1.2116 |
| No log | 7.2727 | 80 | 1.5427 | 0.1097 | 1.5427 | 1.2421 |
| No log | 7.4545 | 82 | 1.8755 | -0.0111 | 1.8755 | 1.3695 |
| No log | 7.6364 | 84 | 1.9363 | -0.0212 | 1.9363 | 1.3915 |
| No log | 7.8182 | 86 | 1.7065 | 0.0631 | 1.7065 | 1.3063 |
| No log | 8.0 | 88 | 1.4613 | 0.2576 | 1.4613 | 1.2088 |
| No log | 8.1818 | 90 | 1.3223 | 0.0938 | 1.3223 | 1.1499 |
| No log | 8.3636 | 92 | 1.2706 | 0.1432 | 1.2706 | 1.1272 |
| No log | 8.5455 | 94 | 1.3626 | 0.2033 | 1.3626 | 1.1673 |
| No log | 8.7273 | 96 | 1.6024 | 0.2366 | 1.6024 | 1.2658 |
| No log | 8.9091 | 98 | 1.5976 | 0.2366 | 1.5976 | 1.2639 |
| No log | 9.0909 | 100 | 1.6150 | 0.2366 | 1.6150 | 1.2708 |
| No log | 9.2727 | 102 | 1.4349 | 0.2248 | 1.4349 | 1.1979 |
| No log | 9.4545 | 104 | 1.3576 | 0.2611 | 1.3576 | 1.1652 |
| No log | 9.6364 | 106 | 1.5419 | 0.2277 | 1.5419 | 1.2417 |
| No log | 9.8182 | 108 | 1.7851 | 0.1946 | 1.7851 | 1.3361 |
| No log | 10.0 | 110 | 1.8160 | 0.2197 | 1.8160 | 1.3476 |
| No log | 10.1818 | 112 | 1.6592 | 0.1919 | 1.6592 | 1.2881 |
| No log | 10.3636 | 114 | 1.5167 | 0.2317 | 1.5167 | 1.2315 |
| No log | 10.5455 | 116 | 1.3325 | 0.1907 | 1.3325 | 1.1543 |
| No log | 10.7273 | 118 | 1.2510 | 0.2792 | 1.2510 | 1.1185 |
| No log | 10.9091 | 120 | 1.3461 | 0.2163 | 1.3461 | 1.1602 |
| No log | 11.0909 | 122 | 1.5758 | 0.2887 | 1.5758 | 1.2553 |
| No log | 11.2727 | 124 | 1.6820 | 0.2564 | 1.6820 | 1.2969 |
| No log | 11.4545 | 126 | 1.5525 | 0.2600 | 1.5525 | 1.2460 |
| No log | 11.6364 | 128 | 1.5114 | 0.2847 | 1.5114 | 1.2294 |
| No log | 11.8182 | 130 | 1.4723 | 0.2953 | 1.4723 | 1.2134 |
| No log | 12.0 | 132 | 1.4555 | 0.2862 | 1.4555 | 1.2064 |
| No log | 12.1818 | 134 | 1.4903 | 0.2847 | 1.4903 | 1.2208 |
| No log | 12.3636 | 136 | 1.4929 | 0.2970 | 1.4929 | 1.2218 |
| No log | 12.5455 | 138 | 1.3896 | 0.2272 | 1.3896 | 1.1788 |
| No log | 12.7273 | 140 | 1.3609 | 0.1535 | 1.3609 | 1.1666 |
| No log | 12.9091 | 142 | 1.3010 | 0.1371 | 1.3010 | 1.1406 |
| No log | 13.0909 | 144 | 1.2978 | 0.1067 | 1.2978 | 1.1392 |
| No log | 13.2727 | 146 | 1.3664 | 0.1570 | 1.3664 | 1.1689 |
| No log | 13.4545 | 148 | 1.4329 | 0.1597 | 1.4329 | 1.1970 |
| No log | 13.6364 | 150 | 1.4149 | 0.1849 | 1.4149 | 1.1895 |
| No log | 13.8182 | 152 | 1.3207 | 0.2679 | 1.3207 | 1.1492 |
| No log | 14.0 | 154 | 1.2853 | 0.2679 | 1.2853 | 1.1337 |
| No log | 14.1818 | 156 | 1.3078 | 0.2283 | 1.3078 | 1.1436 |
| No log | 14.3636 | 158 | 1.4726 | 0.3182 | 1.4726 | 1.2135 |
| No log | 14.5455 | 160 | 1.7336 | 0.2515 | 1.7336 | 1.3167 |
| No log | 14.7273 | 162 | 1.6976 | 0.2515 | 1.6976 | 1.3029 |
| No log | 14.9091 | 164 | 1.4646 | 0.3209 | 1.4646 | 1.2102 |
| No log | 15.0909 | 166 | 1.3740 | 0.3438 | 1.3740 | 1.1722 |
| No log | 15.2727 | 168 | 1.3815 | 0.2722 | 1.3815 | 1.1754 |
| No log | 15.4545 | 170 | 1.3809 | 0.2478 | 1.3809 | 1.1751 |
| No log | 15.6364 | 172 | 1.3263 | 0.2397 | 1.3263 | 1.1517 |
| No log | 15.8182 | 174 | 1.3540 | 0.1899 | 1.3540 | 1.1636 |
| No log | 16.0 | 176 | 1.4247 | 0.1549 | 1.4247 | 1.1936 |
| No log | 16.1818 | 178 | 1.4922 | 0.2084 | 1.4922 | 1.2216 |
| No log | 16.3636 | 180 | 1.4738 | 0.1631 | 1.4738 | 1.2140 |
| No log | 16.5455 | 182 | 1.3844 | 0.1753 | 1.3844 | 1.1766 |
| No log | 16.7273 | 184 | 1.3565 | 0.1753 | 1.3565 | 1.1647 |
| No log | 16.9091 | 186 | 1.3497 | 0.1753 | 1.3497 | 1.1618 |
| No log | 17.0909 | 188 | 1.4576 | 0.2582 | 1.4576 | 1.2073 |
| No log | 17.2727 | 190 | 1.4545 | 0.2582 | 1.4545 | 1.2060 |
| No log | 17.4545 | 192 | 1.3999 | 0.2128 | 1.3999 | 1.1832 |
| No log | 17.6364 | 194 | 1.3107 | 0.2527 | 1.3107 | 1.1449 |
| No log | 17.8182 | 196 | 1.2312 | 0.1345 | 1.2312 | 1.1096 |
| No log | 18.0 | 198 | 1.2667 | 0.1896 | 1.2667 | 1.1255 |
| No log | 18.1818 | 200 | 1.3900 | 0.2704 | 1.3900 | 1.1790 |
| No log | 18.3636 | 202 | 1.3911 | 0.2704 | 1.3911 | 1.1794 |
| No log | 18.5455 | 204 | 1.4478 | 0.2964 | 1.4478 | 1.2032 |
| No log | 18.7273 | 206 | 1.4641 | 0.3487 | 1.4641 | 1.2100 |
| No log | 18.9091 | 208 | 1.3876 | 0.2833 | 1.3876 | 1.1779 |
| No log | 19.0909 | 210 | 1.2569 | 0.1850 | 1.2569 | 1.1211 |
| No log | 19.2727 | 212 | 1.2344 | 0.1500 | 1.2344 | 1.1111 |
| No log | 19.4545 | 214 | 1.2796 | 0.1753 | 1.2796 | 1.1312 |
| No log | 19.6364 | 216 | 1.2073 | 0.1500 | 1.2073 | 1.0988 |
| No log | 19.8182 | 218 | 1.2084 | 0.1707 | 1.2084 | 1.0993 |
| No log | 20.0 | 220 | 1.2000 | 0.2288 | 1.2000 | 1.0955 |
| No log | 20.1818 | 222 | 1.2200 | 0.2326 | 1.2200 | 1.1045 |
| No log | 20.3636 | 224 | 1.1999 | 0.2195 | 1.1999 | 1.0954 |
| No log | 20.5455 | 226 | 1.2708 | 0.1621 | 1.2708 | 1.1273 |
| No log | 20.7273 | 228 | 1.3285 | 0.1979 | 1.3285 | 1.1526 |
| No log | 20.9091 | 230 | 1.2606 | 0.1498 | 1.2606 | 1.1228 |
| No log | 21.0909 | 232 | 1.2067 | 0.0954 | 1.2067 | 1.0985 |
| No log | 21.2727 | 234 | 1.1829 | 0.1701 | 1.1829 | 1.0876 |
| No log | 21.4545 | 236 | 1.2037 | 0.1701 | 1.2037 | 1.0971 |
| No log | 21.6364 | 238 | 1.3092 | 0.1943 | 1.3092 | 1.1442 |
| No log | 21.8182 | 240 | 1.4155 | 0.2359 | 1.4155 | 1.1897 |
| No log | 22.0 | 242 | 1.4732 | 0.3404 | 1.4732 | 1.2138 |
| No log | 22.1818 | 244 | 1.4177 | 0.2911 | 1.4177 | 1.1907 |
| No log | 22.3636 | 246 | 1.2950 | 0.2403 | 1.2950 | 1.1380 |
| No log | 22.5455 | 248 | 1.2033 | 0.1701 | 1.2033 | 1.0969 |
| No log | 22.7273 | 250 | 1.1438 | 0.1919 | 1.1438 | 1.0695 |
| No log | 22.9091 | 252 | 1.1404 | 0.1379 | 1.1404 | 1.0679 |
| No log | 23.0909 | 254 | 1.1783 | 0.1379 | 1.1783 | 1.0855 |
| No log | 23.2727 | 256 | 1.2026 | 0.1379 | 1.2026 | 1.0966 |
| No log | 23.4545 | 258 | 1.2235 | 0.1379 | 1.2235 | 1.1061 |
| No log | 23.6364 | 260 | 1.2404 | 0.1379 | 1.2404 | 1.1137 |
| No log | 23.8182 | 262 | 1.2038 | 0.1853 | 1.2038 | 1.0972 |
| No log | 24.0 | 264 | 1.1429 | 0.2019 | 1.1429 | 1.0691 |
| No log | 24.1818 | 266 | 1.1386 | 0.2317 | 1.1386 | 1.0671 |
| No log | 24.3636 | 268 | 1.2033 | 0.2978 | 1.2033 | 1.0970 |
| No log | 24.5455 | 270 | 1.3363 | 0.3025 | 1.3363 | 1.1560 |
| No log | 24.7273 | 272 | 1.3432 | 0.3429 | 1.3432 | 1.1590 |
| No log | 24.9091 | 274 | 1.2301 | 0.2041 | 1.2301 | 1.1091 |
| No log | 25.0909 | 276 | 1.1434 | 0.2119 | 1.1434 | 1.0693 |
| No log | 25.2727 | 278 | 1.1546 | 0.2009 | 1.1546 | 1.0745 |
| No log | 25.4545 | 280 | 1.2066 | 0.1951 | 1.2066 | 1.0984 |
| No log | 25.6364 | 282 | 1.1678 | 0.2100 | 1.1678 | 1.0807 |
| No log | 25.8182 | 284 | 1.1069 | 0.2019 | 1.1069 | 1.0521 |
| No log | 26.0 | 286 | 1.0942 | 0.1605 | 1.0942 | 1.0461 |
| No log | 26.1818 | 288 | 1.1021 | 0.1605 | 1.1021 | 1.0498 |
| No log | 26.3636 | 290 | 1.1516 | 0.2100 | 1.1516 | 1.0731 |
| No log | 26.5455 | 292 | 1.1836 | 0.2056 | 1.1836 | 1.0879 |
| No log | 26.7273 | 294 | 1.1741 | 0.1379 | 1.1741 | 1.0836 |
| No log | 26.9091 | 296 | 1.1882 | 0.1214 | 1.1882 | 1.0900 |
| No log | 27.0909 | 298 | 1.1833 | 0.1379 | 1.1833 | 1.0878 |
| No log | 27.2727 | 300 | 1.2131 | 0.1951 | 1.2131 | 1.1014 |
| No log | 27.4545 | 302 | 1.2599 | 0.1405 | 1.2599 | 1.1224 |
| No log | 27.6364 | 304 | 1.2530 | 0.1405 | 1.2530 | 1.1194 |
| No log | 27.8182 | 306 | 1.2457 | 0.1557 | 1.2457 | 1.1161 |
| No log | 28.0 | 308 | 1.2493 | 0.1557 | 1.2493 | 1.1177 |
| No log | 28.1818 | 310 | 1.2100 | 0.2100 | 1.2100 | 1.1000 |
| No log | 28.3636 | 312 | 1.1884 | 0.2056 | 1.1884 | 1.0901 |
| No log | 28.5455 | 314 | 1.1996 | 0.2056 | 1.1996 | 1.0953 |
| No log | 28.7273 | 316 | 1.2880 | 0.1943 | 1.2880 | 1.1349 |
| No log | 28.9091 | 318 | 1.4048 | 0.3435 | 1.4048 | 1.1852 |
| No log | 29.0909 | 320 | 1.4698 | 0.3238 | 1.4698 | 1.2124 |
| No log | 29.2727 | 322 | 1.3938 | 0.2884 | 1.3938 | 1.1806 |
| No log | 29.4545 | 324 | 1.2753 | 0.1477 | 1.2753 | 1.1293 |
| No log | 29.6364 | 326 | 1.2061 | 0.1118 | 1.2061 | 1.0982 |
| No log | 29.8182 | 328 | 1.1673 | 0.1701 | 1.1673 | 1.0804 |
| No log | 30.0 | 330 | 1.1750 | 0.1701 | 1.1750 | 1.0840 |
| No log | 30.1818 | 332 | 1.2014 | 0.1599 | 1.2014 | 1.0961 |
| No log | 30.3636 | 334 | 1.2190 | 0.1441 | 1.2190 | 1.1041 |
| No log | 30.5455 | 336 | 1.2250 | 0.1599 | 1.2250 | 1.1068 |
| No log | 30.7273 | 338 | 1.2339 | 0.1599 | 1.2339 | 1.1108 |
| No log | 30.9091 | 340 | 1.2291 | 0.1599 | 1.2291 | 1.1086 |
| No log | 31.0909 | 342 | 1.2736 | 0.1997 | 1.2736 | 1.1285 |
| No log | 31.2727 | 344 | 1.3199 | 0.1943 | 1.3199 | 1.1489 |
| No log | 31.4545 | 346 | 1.2878 | 0.1707 | 1.2878 | 1.1348 |
| No log | 31.6364 | 348 | 1.2536 | 0.1599 | 1.2536 | 1.1196 |
| No log | 31.8182 | 350 | 1.2851 | 0.1118 | 1.2851 | 1.1336 |
| No log | 32.0 | 352 | 1.3270 | 0.1441 | 1.3270 | 1.1520 |
| No log | 32.1818 | 354 | 1.3332 | 0.1282 | 1.3332 | 1.1546 |
| No log | 32.3636 | 356 | 1.3169 | 0.1441 | 1.3169 | 1.1476 |
| No log | 32.5455 | 358 | 1.2665 | 0.1118 | 1.2665 | 1.1254 |
| No log | 32.7273 | 360 | 1.2048 | 0.0948 | 1.2048 | 1.0976 |
| No log | 32.9091 | 362 | 1.1825 | 0.1279 | 1.1825 | 1.0874 |
| No log | 33.0909 | 364 | 1.2010 | 0.1379 | 1.2010 | 1.0959 |
| No log | 33.2727 | 366 | 1.2412 | 0.1344 | 1.2412 | 1.1141 |
| No log | 33.4545 | 368 | 1.2827 | 0.1500 | 1.2827 | 1.1325 |
| No log | 33.6364 | 370 | 1.2635 | 0.1654 | 1.2635 | 1.1240 |
| No log | 33.8182 | 372 | 1.2169 | 0.1911 | 1.2169 | 1.1031 |
| No log | 34.0 | 374 | 1.1979 | 0.1602 | 1.1979 | 1.0945 |
| No log | 34.1818 | 376 | 1.1999 | 0.1281 | 1.1999 | 1.0954 |
| No log | 34.3636 | 378 | 1.2444 | 0.1345 | 1.2444 | 1.1155 |
| No log | 34.5455 | 380 | 1.3337 | 0.2736 | 1.3337 | 1.1549 |
| No log | 34.7273 | 382 | 1.3597 | 0.3026 | 1.3597 | 1.1660 |
| No log | 34.9091 | 384 | 1.3073 | 0.2807 | 1.3073 | 1.1434 |
| No log | 35.0909 | 386 | 1.2423 | 0.2313 | 1.2423 | 1.1146 |
| No log | 35.2727 | 388 | 1.1897 | 0.1951 | 1.1897 | 1.0907 |
| No log | 35.4545 | 390 | 1.2090 | 0.1997 | 1.2090 | 1.0996 |
| No log | 35.6364 | 392 | 1.2364 | 0.2772 | 1.2364 | 1.1119 |
| No log | 35.8182 | 394 | 1.1844 | 0.1654 | 1.1844 | 1.0883 |
| No log | 36.0 | 396 | 1.1608 | 0.1344 | 1.1608 | 1.0774 |
| No log | 36.1818 | 398 | 1.2017 | 0.1596 | 1.2017 | 1.0962 |
| No log | 36.3636 | 400 | 1.2438 | 0.1840 | 1.2438 | 1.1153 |
| No log | 36.5455 | 402 | 1.2010 | 0.1026 | 1.2010 | 1.0959 |
| No log | 36.7273 | 404 | 1.1323 | 0.1281 | 1.1323 | 1.0641 |
| No log | 36.9091 | 406 | 1.1133 | 0.1761 | 1.1133 | 1.0551 |
| No log | 37.0909 | 408 | 1.1104 | 0.2076 | 1.1104 | 1.0538 |
| No log | 37.2727 | 410 | 1.1495 | 0.1442 | 1.1495 | 1.0722 |
| No log | 37.4545 | 412 | 1.2420 | 0.1650 | 1.2420 | 1.1144 |
| No log | 37.6364 | 414 | 1.3290 | 0.2815 | 1.3290 | 1.1528 |
| No log | 37.8182 | 416 | 1.3238 | 0.2941 | 1.3238 | 1.1506 |
| No log | 38.0 | 418 | 1.2572 | 0.1943 | 1.2572 | 1.1212 |
| No log | 38.1818 | 420 | 1.1688 | 0.2100 | 1.1688 | 1.0811 |
| No log | 38.3636 | 422 | 1.1364 | 0.2273 | 1.1364 | 1.0660 |
| No log | 38.5455 | 424 | 1.1367 | 0.2371 | 1.1367 | 1.0661 |
| No log | 38.7273 | 426 | 1.1801 | 0.2236 | 1.1801 | 1.0863 |
| No log | 38.9091 | 428 | 1.2866 | 0.2807 | 1.2866 | 1.1343 |
| No log | 39.0909 | 430 | 1.3565 | 0.3047 | 1.3565 | 1.1647 |
| No log | 39.2727 | 432 | 1.4214 | 0.2536 | 1.4214 | 1.1922 |
| No log | 39.4545 | 434 | 1.4145 | 0.2536 | 1.4145 | 1.1893 |
| No log | 39.6364 | 436 | 1.3200 | 0.3299 | 1.3200 | 1.1489 |
| No log | 39.8182 | 438 | 1.2039 | 0.1118 | 1.2039 | 1.0972 |
| No log | 40.0 | 440 | 1.1348 | 0.1602 | 1.1348 | 1.0653 |
| No log | 40.1818 | 442 | 1.1145 | 0.1343 | 1.1145 | 1.0557 |
| No log | 40.3636 | 444 | 1.1258 | 0.1504 | 1.1258 | 1.0610 |
| No log | 40.5455 | 446 | 1.1786 | 0.1183 | 1.1786 | 1.0856 |
| No log | 40.7273 | 448 | 1.2956 | 0.2980 | 1.2956 | 1.1382 |
| No log | 40.9091 | 450 | 1.4313 | 0.3339 | 1.4313 | 1.1964 |
| No log | 41.0909 | 452 | 1.5376 | 0.3331 | 1.5376 | 1.2400 |
| No log | 41.2727 | 454 | 1.5576 | 0.3345 | 1.5576 | 1.2480 |
| No log | 41.4545 | 456 | 1.4642 | 0.3331 | 1.4642 | 1.2100 |
| No log | 41.6364 | 458 | 1.3004 | 0.3155 | 1.3004 | 1.1404 |
| No log | 41.8182 | 460 | 1.1924 | 0.1441 | 1.1924 | 1.0920 |
| No log | 42.0 | 462 | 1.1320 | 0.1085 | 1.1320 | 1.0639 |
| No log | 42.1818 | 464 | 1.1163 | 0.1343 | 1.1163 | 1.0565 |
| No log | 42.3636 | 466 | 1.1216 | 0.1343 | 1.1216 | 1.0591 |
| No log | 42.5455 | 468 | 1.1509 | 0.0948 | 1.1509 | 1.0728 |
| No log | 42.7273 | 470 | 1.2101 | 0.1118 | 1.2101 | 1.1000 |
| No log | 42.9091 | 472 | 1.2927 | 0.2494 | 1.2927 | 1.1370 |
| No log | 43.0909 | 474 | 1.3790 | 0.2959 | 1.3790 | 1.1743 |
| No log | 43.2727 | 476 | 1.4463 | 0.3005 | 1.4463 | 1.2026 |
| No log | 43.4545 | 478 | 1.4372 | 0.3026 | 1.4372 | 1.1988 |
| No log | 43.6364 | 480 | 1.3517 | 0.3025 | 1.3517 | 1.1626 |
| No log | 43.8182 | 482 | 1.2679 | 0.3155 | 1.2679 | 1.1260 |
| No log | 44.0 | 484 | 1.2119 | 0.3357 | 1.2119 | 1.1009 |
| No log | 44.1818 | 486 | 1.2169 | 0.3341 | 1.2169 | 1.1031 |
| No log | 44.3636 | 488 | 1.2520 | 0.3094 | 1.2520 | 1.1189 |
| No log | 44.5455 | 490 | 1.2666 | 0.2889 | 1.2666 | 1.1254 |
| No log | 44.7273 | 492 | 1.2944 | 0.2586 | 1.2944 | 1.1377 |
| No log | 44.9091 | 494 | 1.2921 | 0.2586 | 1.2921 | 1.1367 |
| No log | 45.0909 | 496 | 1.2789 | 0.2317 | 1.2789 | 1.1309 |
| No log | 45.2727 | 498 | 1.2306 | 0.2570 | 1.2306 | 1.1093 |
| 0.2686 | 45.4545 | 500 | 1.1985 | 0.2570 | 1.1985 | 1.0948 |
| 0.2686 | 45.6364 | 502 | 1.1764 | 0.2046 | 1.1764 | 1.0846 |
| 0.2686 | 45.8182 | 504 | 1.1634 | 0.2330 | 1.1634 | 1.0786 |
| 0.2686 | 46.0 | 506 | 1.1402 | 0.1951 | 1.1402 | 1.0678 |
| 0.2686 | 46.1818 | 508 | 1.1234 | 0.1344 | 1.1234 | 1.0599 |
| 0.2686 | 46.3636 | 510 | 1.1292 | 0.1281 | 1.1292 | 1.0626 |
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_run2_AugV5_k2_task2_organization
Base model
aubmindlab/bert-base-arabertv02