ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_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: 1.5222
- Qwk: 0.1364
- Mse: 1.5222
- Rmse: 1.2338
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 | 0.0526 | 2 | 4.4727 | 0.0163 | 4.4727 | 2.1149 |
| No log | 0.1053 | 4 | 2.7155 | 0.0012 | 2.7155 | 1.6479 |
| No log | 0.1579 | 6 | 2.0518 | 0.0062 | 2.0518 | 1.4324 |
| No log | 0.2105 | 8 | 1.8906 | 0.0062 | 1.8906 | 1.3750 |
| No log | 0.2632 | 10 | 1.9512 | -0.0366 | 1.9512 | 1.3969 |
| No log | 0.3158 | 12 | 1.3972 | -0.0374 | 1.3972 | 1.1821 |
| No log | 0.3684 | 14 | 1.2935 | 0.0454 | 1.2935 | 1.1373 |
| No log | 0.4211 | 16 | 1.2797 | 0.0904 | 1.2797 | 1.1312 |
| No log | 0.4737 | 18 | 1.3104 | 0.0370 | 1.3104 | 1.1447 |
| No log | 0.5263 | 20 | 1.6451 | -0.0451 | 1.6451 | 1.2826 |
| No log | 0.5789 | 22 | 1.9443 | 0.0 | 1.9443 | 1.3944 |
| No log | 0.6316 | 24 | 1.7241 | 0.0 | 1.7241 | 1.3131 |
| No log | 0.6842 | 26 | 1.4738 | 0.0 | 1.4738 | 1.2140 |
| No log | 0.7368 | 28 | 1.2923 | 0.1288 | 1.2923 | 1.1368 |
| No log | 0.7895 | 30 | 1.2202 | 0.1470 | 1.2202 | 1.1046 |
| No log | 0.8421 | 32 | 1.3019 | 0.1423 | 1.3019 | 1.1410 |
| No log | 0.8947 | 34 | 1.4520 | -0.1074 | 1.4520 | 1.2050 |
| No log | 0.9474 | 36 | 1.5232 | -0.0149 | 1.5232 | 1.2342 |
| No log | 1.0 | 38 | 1.5884 | 0.0 | 1.5884 | 1.2603 |
| No log | 1.0526 | 40 | 1.5286 | 0.0 | 1.5286 | 1.2364 |
| No log | 1.1053 | 42 | 1.4799 | -0.0149 | 1.4799 | 1.2165 |
| No log | 1.1579 | 44 | 1.4217 | -0.0029 | 1.4217 | 1.1924 |
| No log | 1.2105 | 46 | 1.3779 | -0.0059 | 1.3779 | 1.1739 |
| No log | 1.2632 | 48 | 1.3998 | -0.0217 | 1.3998 | 1.1831 |
| No log | 1.3158 | 50 | 1.6127 | -0.1229 | 1.6127 | 1.2699 |
| No log | 1.3684 | 52 | 1.7190 | -0.0839 | 1.7190 | 1.3111 |
| No log | 1.4211 | 54 | 1.7049 | -0.0839 | 1.7049 | 1.3057 |
| No log | 1.4737 | 56 | 1.5835 | -0.0745 | 1.5835 | 1.2584 |
| No log | 1.5263 | 58 | 1.3379 | 0.1108 | 1.3379 | 1.1567 |
| No log | 1.5789 | 60 | 1.3012 | 0.0041 | 1.3012 | 1.1407 |
| No log | 1.6316 | 62 | 1.3139 | -0.0552 | 1.3139 | 1.1462 |
| No log | 1.6842 | 64 | 1.2919 | -0.0616 | 1.2919 | 1.1366 |
| No log | 1.7368 | 66 | 1.2566 | 0.0327 | 1.2566 | 1.1210 |
| No log | 1.7895 | 68 | 1.2434 | 0.0642 | 1.2434 | 1.1151 |
| No log | 1.8421 | 70 | 1.2464 | 0.2212 | 1.2464 | 1.1164 |
| No log | 1.8947 | 72 | 1.2325 | 0.2155 | 1.2325 | 1.1102 |
| No log | 1.9474 | 74 | 1.2387 | 0.1407 | 1.2387 | 1.1130 |
| No log | 2.0 | 76 | 1.3275 | 0.1260 | 1.3275 | 1.1522 |
| No log | 2.0526 | 78 | 1.5822 | -0.0534 | 1.5822 | 1.2579 |
| No log | 2.1053 | 80 | 1.8255 | 0.0 | 1.8255 | 1.3511 |
| No log | 2.1579 | 82 | 1.7509 | 0.0 | 1.7509 | 1.3232 |
| No log | 2.2105 | 84 | 1.4833 | -0.0132 | 1.4833 | 1.2179 |
| No log | 2.2632 | 86 | 1.2676 | 0.0948 | 1.2676 | 1.1259 |
| No log | 2.3158 | 88 | 1.2159 | 0.0904 | 1.2159 | 1.1027 |
| No log | 2.3684 | 90 | 1.2480 | 0.0454 | 1.2480 | 1.1172 |
| No log | 2.4211 | 92 | 1.2347 | 0.0628 | 1.2347 | 1.1112 |
| No log | 2.4737 | 94 | 1.2456 | 0.1176 | 1.2456 | 1.1161 |
| No log | 2.5263 | 96 | 1.2459 | 0.1076 | 1.2459 | 1.1162 |
| No log | 2.5789 | 98 | 1.2372 | 0.0841 | 1.2372 | 1.1123 |
| No log | 2.6316 | 100 | 1.2349 | 0.0841 | 1.2349 | 1.1112 |
| No log | 2.6842 | 102 | 1.2377 | 0.1532 | 1.2377 | 1.1125 |
| No log | 2.7368 | 104 | 1.3393 | 0.1200 | 1.3393 | 1.1573 |
| No log | 2.7895 | 106 | 1.3916 | 0.0831 | 1.3916 | 1.1797 |
| No log | 2.8421 | 108 | 1.2507 | 0.1675 | 1.2507 | 1.1184 |
| No log | 2.8947 | 110 | 1.2394 | 0.0527 | 1.2394 | 1.1133 |
| No log | 2.9474 | 112 | 1.3409 | 0.0811 | 1.3409 | 1.1580 |
| No log | 3.0 | 114 | 1.2918 | 0.0711 | 1.2918 | 1.1366 |
| No log | 3.0526 | 116 | 1.2243 | 0.1727 | 1.2243 | 1.1065 |
| No log | 3.1053 | 118 | 1.3378 | 0.1696 | 1.3378 | 1.1566 |
| No log | 3.1579 | 120 | 1.5735 | -0.0412 | 1.5735 | 1.2544 |
| No log | 3.2105 | 122 | 1.4279 | 0.0319 | 1.4279 | 1.1950 |
| No log | 3.2632 | 124 | 1.2147 | 0.2618 | 1.2147 | 1.1022 |
| No log | 3.3158 | 126 | 1.1646 | 0.2371 | 1.1646 | 1.0792 |
| No log | 3.3684 | 128 | 1.2088 | 0.1764 | 1.2088 | 1.0995 |
| No log | 3.4211 | 130 | 1.1807 | 0.1920 | 1.1807 | 1.0866 |
| No log | 3.4737 | 132 | 1.1918 | 0.1897 | 1.1918 | 1.0917 |
| No log | 3.5263 | 134 | 1.2295 | 0.2850 | 1.2295 | 1.1088 |
| No log | 3.5789 | 136 | 1.2118 | 0.1475 | 1.2118 | 1.1008 |
| No log | 3.6316 | 138 | 1.3357 | 0.1984 | 1.3357 | 1.1557 |
| No log | 3.6842 | 140 | 1.5185 | 0.1845 | 1.5185 | 1.2323 |
| No log | 3.7368 | 142 | 1.4231 | 0.2295 | 1.4231 | 1.1929 |
| No log | 3.7895 | 144 | 1.2838 | 0.1864 | 1.2838 | 1.1330 |
| No log | 3.8421 | 146 | 1.2621 | 0.1693 | 1.2621 | 1.1234 |
| No log | 3.8947 | 148 | 1.3587 | 0.1984 | 1.3587 | 1.1656 |
| No log | 3.9474 | 150 | 1.4022 | 0.2069 | 1.4022 | 1.1842 |
| No log | 4.0 | 152 | 1.4960 | 0.2009 | 1.4960 | 1.2231 |
| No log | 4.0526 | 154 | 1.4161 | 0.1340 | 1.4161 | 1.1900 |
| No log | 4.1053 | 156 | 1.3129 | 0.2032 | 1.3129 | 1.1458 |
| No log | 4.1579 | 158 | 1.1719 | 0.2431 | 1.1719 | 1.0826 |
| No log | 4.2105 | 160 | 1.1124 | 0.3094 | 1.1124 | 1.0547 |
| No log | 4.2632 | 162 | 1.1200 | 0.2556 | 1.1200 | 1.0583 |
| No log | 4.3158 | 164 | 1.1325 | 0.2355 | 1.1325 | 1.0642 |
| No log | 4.3684 | 166 | 1.1843 | 0.3405 | 1.1843 | 1.0883 |
| No log | 4.4211 | 168 | 1.2689 | 0.2634 | 1.2689 | 1.1264 |
| No log | 4.4737 | 170 | 1.2635 | 0.2909 | 1.2635 | 1.1240 |
| No log | 4.5263 | 172 | 1.2111 | 0.2268 | 1.2111 | 1.1005 |
| No log | 4.5789 | 174 | 1.2731 | 0.1928 | 1.2731 | 1.1283 |
| No log | 4.6316 | 176 | 1.2343 | 0.1568 | 1.2343 | 1.1110 |
| No log | 4.6842 | 178 | 1.3055 | 0.2259 | 1.3055 | 1.1426 |
| No log | 4.7368 | 180 | 1.3997 | 0.2387 | 1.3997 | 1.1831 |
| No log | 4.7895 | 182 | 1.3129 | 0.2391 | 1.3129 | 1.1458 |
| No log | 4.8421 | 184 | 1.2907 | 0.2076 | 1.2907 | 1.1361 |
| No log | 4.8947 | 186 | 1.2970 | 0.1921 | 1.2970 | 1.1389 |
| No log | 4.9474 | 188 | 1.4394 | 0.1801 | 1.4394 | 1.1997 |
| No log | 5.0 | 190 | 1.4907 | 0.1801 | 1.4907 | 1.2209 |
| No log | 5.0526 | 192 | 1.3909 | 0.1188 | 1.3909 | 1.1794 |
| No log | 5.1053 | 194 | 1.2848 | 0.1431 | 1.2848 | 1.1335 |
| No log | 5.1579 | 196 | 1.3049 | 0.0150 | 1.3049 | 1.1423 |
| No log | 5.2105 | 198 | 1.3267 | 0.1027 | 1.3267 | 1.1518 |
| No log | 5.2632 | 200 | 1.4168 | 0.1713 | 1.4168 | 1.1903 |
| No log | 5.3158 | 202 | 1.4252 | 0.1224 | 1.4252 | 1.1938 |
| No log | 5.3684 | 204 | 1.3763 | 0.0876 | 1.3763 | 1.1732 |
| No log | 5.4211 | 206 | 1.4573 | 0.0896 | 1.4573 | 1.2072 |
| No log | 5.4737 | 208 | 1.3965 | 0.0988 | 1.3965 | 1.1818 |
| No log | 5.5263 | 210 | 1.2886 | 0.1067 | 1.2886 | 1.1352 |
| No log | 5.5789 | 212 | 1.3705 | 0.1570 | 1.3705 | 1.1707 |
| No log | 5.6316 | 214 | 1.3400 | 0.1094 | 1.3400 | 1.1576 |
| No log | 5.6842 | 216 | 1.2665 | 0.0994 | 1.2665 | 1.1254 |
| No log | 5.7368 | 218 | 1.1991 | 0.1838 | 1.1991 | 1.0950 |
| No log | 5.7895 | 220 | 1.1960 | 0.1548 | 1.1960 | 1.0936 |
| No log | 5.8421 | 222 | 1.2375 | 0.1864 | 1.2375 | 1.1124 |
| No log | 5.8947 | 224 | 1.4333 | 0.0818 | 1.4333 | 1.1972 |
| No log | 5.9474 | 226 | 1.4896 | 0.1051 | 1.4896 | 1.2205 |
| No log | 6.0 | 228 | 1.3591 | 0.0937 | 1.3591 | 1.1658 |
| No log | 6.0526 | 230 | 1.2239 | 0.1701 | 1.2239 | 1.1063 |
| No log | 6.1053 | 232 | 1.1877 | 0.2276 | 1.1877 | 1.0898 |
| No log | 6.1579 | 234 | 1.2162 | 0.1807 | 1.2162 | 1.1028 |
| No log | 6.2105 | 236 | 1.3402 | 0.1371 | 1.3402 | 1.1577 |
| No log | 6.2632 | 238 | 1.4822 | 0.1929 | 1.4822 | 1.2175 |
| No log | 6.3158 | 240 | 1.4075 | 0.1892 | 1.4075 | 1.1864 |
| No log | 6.3684 | 242 | 1.2195 | 0.1867 | 1.2195 | 1.1043 |
| No log | 6.4211 | 244 | 1.2062 | 0.2871 | 1.2062 | 1.0983 |
| No log | 6.4737 | 246 | 1.2166 | 0.2349 | 1.2166 | 1.1030 |
| No log | 6.5263 | 248 | 1.2319 | 0.2801 | 1.2319 | 1.1099 |
| No log | 6.5789 | 250 | 1.3691 | 0.1282 | 1.3691 | 1.1701 |
| No log | 6.6316 | 252 | 1.3637 | 0.1339 | 1.3637 | 1.1678 |
| No log | 6.6842 | 254 | 1.4362 | 0.1112 | 1.4362 | 1.1984 |
| No log | 6.7368 | 256 | 1.4407 | 0.0818 | 1.4407 | 1.2003 |
| No log | 6.7895 | 258 | 1.3450 | 0.1898 | 1.3451 | 1.1598 |
| No log | 6.8421 | 260 | 1.3708 | 0.0964 | 1.3708 | 1.1708 |
| No log | 6.8947 | 262 | 1.3593 | 0.1483 | 1.3593 | 1.1659 |
| No log | 6.9474 | 264 | 1.2947 | 0.2668 | 1.2947 | 1.1378 |
| No log | 7.0 | 266 | 1.3471 | 0.1854 | 1.3471 | 1.1606 |
| No log | 7.0526 | 268 | 1.5200 | 0.0824 | 1.5200 | 1.2329 |
| No log | 7.1053 | 270 | 1.6412 | 0.1095 | 1.6412 | 1.2811 |
| No log | 7.1579 | 272 | 1.5651 | 0.0992 | 1.5651 | 1.2510 |
| No log | 7.2105 | 274 | 1.3818 | 0.1196 | 1.3818 | 1.1755 |
| No log | 7.2632 | 276 | 1.3152 | 0.2250 | 1.3152 | 1.1468 |
| No log | 7.3158 | 278 | 1.2939 | 0.25 | 1.2939 | 1.1375 |
| No log | 7.3684 | 280 | 1.3829 | 0.0987 | 1.3829 | 1.1760 |
| No log | 7.4211 | 282 | 1.4829 | 0.0884 | 1.4829 | 1.2177 |
| No log | 7.4737 | 284 | 1.6381 | 0.1513 | 1.6381 | 1.2799 |
| No log | 7.5263 | 286 | 1.6188 | 0.1810 | 1.6188 | 1.2723 |
| No log | 7.5789 | 288 | 1.3741 | 0.1801 | 1.3741 | 1.1722 |
| No log | 7.6316 | 290 | 1.1804 | 0.3560 | 1.1804 | 1.0865 |
| No log | 7.6842 | 292 | 1.1405 | 0.2970 | 1.1405 | 1.0679 |
| No log | 7.7368 | 294 | 1.1666 | 0.3122 | 1.1666 | 1.0801 |
| No log | 7.7895 | 296 | 1.2988 | 0.2195 | 1.2988 | 1.1397 |
| No log | 7.8421 | 298 | 1.3906 | 0.1461 | 1.3906 | 1.1792 |
| No log | 7.8947 | 300 | 1.3592 | 0.1889 | 1.3592 | 1.1658 |
| No log | 7.9474 | 302 | 1.3230 | 0.1745 | 1.3230 | 1.1502 |
| No log | 8.0 | 304 | 1.3039 | 0.2291 | 1.3039 | 1.1419 |
| No log | 8.0526 | 306 | 1.2697 | 0.2056 | 1.2697 | 1.1268 |
| No log | 8.1053 | 308 | 1.2631 | 0.2263 | 1.2631 | 1.1239 |
| No log | 8.1579 | 310 | 1.3383 | 0.2132 | 1.3383 | 1.1568 |
| No log | 8.2105 | 312 | 1.4006 | 0.2173 | 1.4006 | 1.1835 |
| No log | 8.2632 | 314 | 1.4790 | 0.1448 | 1.4790 | 1.2161 |
| No log | 8.3158 | 316 | 1.4682 | 0.1801 | 1.4682 | 1.2117 |
| No log | 8.3684 | 318 | 1.3870 | 0.1989 | 1.3870 | 1.1777 |
| No log | 8.4211 | 320 | 1.2927 | 0.2263 | 1.2927 | 1.1370 |
| No log | 8.4737 | 322 | 1.2921 | 0.1807 | 1.2921 | 1.1367 |
| No log | 8.5263 | 324 | 1.2869 | 0.1614 | 1.2869 | 1.1344 |
| No log | 8.5789 | 326 | 1.3152 | 0.1850 | 1.3152 | 1.1468 |
| No log | 8.6316 | 328 | 1.3410 | 0.2132 | 1.3410 | 1.1580 |
| No log | 8.6842 | 330 | 1.3697 | 0.1254 | 1.3697 | 1.1704 |
| No log | 8.7368 | 332 | 1.2711 | 0.1905 | 1.2711 | 1.1274 |
| No log | 8.7895 | 334 | 1.1910 | 0.2801 | 1.1910 | 1.0913 |
| No log | 8.8421 | 336 | 1.2026 | 0.2352 | 1.2026 | 1.0966 |
| No log | 8.8947 | 338 | 1.2623 | 0.2077 | 1.2623 | 1.1235 |
| No log | 8.9474 | 340 | 1.4849 | 0.2217 | 1.4849 | 1.2186 |
| No log | 9.0 | 342 | 1.5560 | 0.2285 | 1.5560 | 1.2474 |
| No log | 9.0526 | 344 | 1.3996 | 0.1748 | 1.3996 | 1.1830 |
| No log | 9.1053 | 346 | 1.1902 | 0.2263 | 1.1902 | 1.0910 |
| No log | 9.1579 | 348 | 1.1410 | 0.2200 | 1.1410 | 1.0682 |
| No log | 9.2105 | 350 | 1.1495 | 0.2200 | 1.1495 | 1.0721 |
| No log | 9.2632 | 352 | 1.1804 | 0.1649 | 1.1804 | 1.0865 |
| No log | 9.3158 | 354 | 1.2970 | 0.1379 | 1.2970 | 1.1389 |
| No log | 9.3684 | 356 | 1.4158 | 0.1345 | 1.4158 | 1.1899 |
| No log | 9.4211 | 358 | 1.5567 | 0.0913 | 1.5567 | 1.2477 |
| No log | 9.4737 | 360 | 1.5525 | 0.1179 | 1.5525 | 1.2460 |
| No log | 9.5263 | 362 | 1.4003 | 0.1168 | 1.4003 | 1.1834 |
| No log | 9.5789 | 364 | 1.2897 | 0.2417 | 1.2897 | 1.1356 |
| No log | 9.6316 | 366 | 1.2918 | 0.2417 | 1.2918 | 1.1366 |
| No log | 9.6842 | 368 | 1.2716 | 0.2417 | 1.2716 | 1.1277 |
| No log | 9.7368 | 370 | 1.2848 | 0.1959 | 1.2848 | 1.1335 |
| No log | 9.7895 | 372 | 1.3637 | 0.1449 | 1.3637 | 1.1678 |
| No log | 9.8421 | 374 | 1.3778 | 0.1722 | 1.3778 | 1.1738 |
| No log | 9.8947 | 376 | 1.3558 | 0.1109 | 1.3558 | 1.1644 |
| No log | 9.9474 | 378 | 1.3559 | 0.0964 | 1.3559 | 1.1644 |
| No log | 10.0 | 380 | 1.3085 | 0.1650 | 1.3085 | 1.1439 |
| No log | 10.0526 | 382 | 1.2562 | 0.1500 | 1.2562 | 1.1208 |
| No log | 10.1053 | 384 | 1.2243 | 0.2108 | 1.2243 | 1.1065 |
| No log | 10.1579 | 386 | 1.2661 | 0.1944 | 1.2661 | 1.1252 |
| No log | 10.2105 | 388 | 1.3258 | 0.1345 | 1.3258 | 1.1514 |
| No log | 10.2632 | 390 | 1.3757 | 0.0964 | 1.3757 | 1.1729 |
| No log | 10.3158 | 392 | 1.3972 | 0.1254 | 1.3972 | 1.1820 |
| No log | 10.3684 | 394 | 1.4001 | 0.1310 | 1.4001 | 1.1832 |
| No log | 10.4211 | 396 | 1.4265 | 0.1718 | 1.4265 | 1.1944 |
| No log | 10.4737 | 398 | 1.5056 | 0.2217 | 1.5056 | 1.2270 |
| No log | 10.5263 | 400 | 1.5329 | 0.2217 | 1.5329 | 1.2381 |
| No log | 10.5789 | 402 | 1.3884 | 0.1112 | 1.3884 | 1.1783 |
| No log | 10.6316 | 404 | 1.2338 | 0.2263 | 1.2338 | 1.1108 |
| No log | 10.6842 | 406 | 1.2106 | 0.2164 | 1.2106 | 1.1003 |
| No log | 10.7368 | 408 | 1.2837 | 0.1193 | 1.2837 | 1.1330 |
| No log | 10.7895 | 410 | 1.4226 | 0.1112 | 1.4226 | 1.1927 |
| No log | 10.8421 | 412 | 1.4414 | 0.1112 | 1.4414 | 1.2006 |
| No log | 10.8947 | 414 | 1.4784 | 0.1447 | 1.4784 | 1.2159 |
| No log | 10.9474 | 416 | 1.3497 | 0.0898 | 1.3497 | 1.1618 |
| No log | 11.0 | 418 | 1.3026 | 0.1371 | 1.3026 | 1.1413 |
| No log | 11.0526 | 420 | 1.3628 | 0.0898 | 1.3628 | 1.1674 |
| No log | 11.1053 | 422 | 1.4708 | 0.0884 | 1.4708 | 1.2128 |
| No log | 11.1579 | 424 | 1.4907 | 0.1009 | 1.4907 | 1.2209 |
| No log | 11.2105 | 426 | 1.3949 | 0.1135 | 1.3949 | 1.1811 |
| No log | 11.2632 | 428 | 1.2802 | 0.0937 | 1.2802 | 1.1315 |
| No log | 11.3158 | 430 | 1.2635 | 0.2046 | 1.2635 | 1.1240 |
| No log | 11.3684 | 432 | 1.2719 | 0.2636 | 1.2719 | 1.1278 |
| No log | 11.4211 | 434 | 1.3231 | 0.2184 | 1.3231 | 1.1502 |
| No log | 11.4737 | 436 | 1.4823 | 0.1387 | 1.4823 | 1.2175 |
| No log | 11.5263 | 438 | 1.6171 | 0.1733 | 1.6171 | 1.2716 |
| No log | 11.5789 | 440 | 1.6465 | 0.1692 | 1.6465 | 1.2832 |
| No log | 11.6316 | 442 | 1.5229 | 0.1358 | 1.5229 | 1.2340 |
| No log | 11.6842 | 444 | 1.3816 | 0.1282 | 1.3816 | 1.1754 |
| No log | 11.7368 | 446 | 1.2719 | 0.1959 | 1.2719 | 1.1278 |
| No log | 11.7895 | 448 | 1.2717 | 0.1959 | 1.2717 | 1.1277 |
| No log | 11.8421 | 450 | 1.3423 | 0.1428 | 1.3423 | 1.1586 |
| No log | 11.8947 | 452 | 1.4285 | 0.1226 | 1.4285 | 1.1952 |
| No log | 11.9474 | 454 | 1.5208 | 0.1207 | 1.5208 | 1.2332 |
| No log | 12.0 | 456 | 1.5925 | 0.1082 | 1.5925 | 1.2620 |
| No log | 12.0526 | 458 | 1.5245 | 0.0894 | 1.5245 | 1.2347 |
| No log | 12.1053 | 460 | 1.4036 | 0.1109 | 1.4036 | 1.1847 |
| No log | 12.1579 | 462 | 1.3636 | 0.1428 | 1.3636 | 1.1677 |
| No log | 12.2105 | 464 | 1.4013 | 0.1046 | 1.4013 | 1.1838 |
| No log | 12.2632 | 466 | 1.4936 | 0.0637 | 1.4936 | 1.2221 |
| No log | 12.3158 | 468 | 1.4654 | 0.0708 | 1.4654 | 1.2105 |
| No log | 12.3684 | 470 | 1.4560 | 0.0708 | 1.4560 | 1.2066 |
| No log | 12.4211 | 472 | 1.4238 | 0.1046 | 1.4238 | 1.1932 |
| No log | 12.4737 | 474 | 1.3570 | 0.1046 | 1.3570 | 1.1649 |
| No log | 12.5263 | 476 | 1.3679 | 0.1046 | 1.3679 | 1.1696 |
| No log | 12.5789 | 478 | 1.4473 | 0.1027 | 1.4473 | 1.2030 |
| No log | 12.6316 | 480 | 1.4788 | 0.0927 | 1.4788 | 1.2161 |
| No log | 12.6842 | 482 | 1.4572 | 0.1448 | 1.4572 | 1.2071 |
| No log | 12.7368 | 484 | 1.4503 | 0.1448 | 1.4503 | 1.2043 |
| No log | 12.7895 | 486 | 1.5280 | 0.1121 | 1.5280 | 1.2361 |
| No log | 12.8421 | 488 | 1.5926 | 0.1163 | 1.5926 | 1.2620 |
| No log | 12.8947 | 490 | 1.5969 | 0.1886 | 1.5969 | 1.2637 |
| No log | 12.9474 | 492 | 1.4724 | 0.1500 | 1.4724 | 1.2134 |
| No log | 13.0 | 494 | 1.3561 | 0.0871 | 1.3561 | 1.1645 |
| No log | 13.0526 | 496 | 1.3413 | 0.1338 | 1.3412 | 1.1581 |
| No log | 13.1053 | 498 | 1.4239 | 0.1448 | 1.4239 | 1.1933 |
| 0.4145 | 13.1579 | 500 | 1.4790 | 0.1500 | 1.4790 | 1.2162 |
| 0.4145 | 13.2105 | 502 | 1.5468 | 0.0913 | 1.5468 | 1.2437 |
| 0.4145 | 13.2632 | 504 | 1.4941 | 0.1310 | 1.4941 | 1.2223 |
| 0.4145 | 13.3158 | 506 | 1.4712 | 0.1310 | 1.4712 | 1.2129 |
| 0.4145 | 13.3684 | 508 | 1.4883 | 0.1310 | 1.4883 | 1.2200 |
| 0.4145 | 13.4211 | 510 | 1.5222 | 0.1364 | 1.5222 | 1.2338 |
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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_task2_organization
Base model
aubmindlab/bert-base-arabertv02