ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_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: 1.2576
- Qwk: 0.1727
- Mse: 1.2576
- Rmse: 1.1214
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 | 0.1053 | 2 | 3.9176 | -0.0150 | 3.9176 | 1.9793 |
| No log | 0.2105 | 4 | 2.3266 | 0.0014 | 2.3266 | 1.5253 |
| No log | 0.3158 | 6 | 1.4976 | -0.0219 | 1.4976 | 1.2238 |
| No log | 0.4211 | 8 | 1.3063 | 0.0683 | 1.3063 | 1.1429 |
| No log | 0.5263 | 10 | 1.1381 | 0.1864 | 1.1381 | 1.0668 |
| No log | 0.6316 | 12 | 1.1502 | 0.1521 | 1.1502 | 1.0725 |
| No log | 0.7368 | 14 | 1.1766 | 0.1361 | 1.1766 | 1.0847 |
| No log | 0.8421 | 16 | 1.1754 | 0.1268 | 1.1754 | 1.0842 |
| No log | 0.9474 | 18 | 1.0866 | 0.2042 | 1.0866 | 1.0424 |
| No log | 1.0526 | 20 | 1.0508 | 0.2140 | 1.0508 | 1.0251 |
| No log | 1.1579 | 22 | 1.0410 | 0.2140 | 1.0410 | 1.0203 |
| No log | 1.2632 | 24 | 1.0478 | 0.2391 | 1.0478 | 1.0236 |
| No log | 1.3684 | 26 | 1.0752 | 0.1196 | 1.0752 | 1.0369 |
| No log | 1.4737 | 28 | 1.0536 | 0.2239 | 1.0536 | 1.0264 |
| No log | 1.5789 | 30 | 1.0848 | 0.2061 | 1.0848 | 1.0416 |
| No log | 1.6842 | 32 | 1.3580 | 0.0169 | 1.3580 | 1.1653 |
| No log | 1.7895 | 34 | 1.5793 | 0.0178 | 1.5793 | 1.2567 |
| No log | 1.8947 | 36 | 1.2727 | 0.0202 | 1.2727 | 1.1281 |
| No log | 2.0 | 38 | 1.1210 | 0.3478 | 1.1210 | 1.0588 |
| No log | 2.1053 | 40 | 1.2585 | 0.1745 | 1.2585 | 1.1218 |
| No log | 2.2105 | 42 | 1.1723 | 0.2594 | 1.1723 | 1.0827 |
| No log | 2.3158 | 44 | 1.2669 | 0.1131 | 1.2669 | 1.1256 |
| No log | 2.4211 | 46 | 1.6367 | -0.2230 | 1.6367 | 1.2793 |
| No log | 2.5263 | 48 | 1.6755 | -0.2645 | 1.6755 | 1.2944 |
| No log | 2.6316 | 50 | 1.3141 | -0.0393 | 1.3141 | 1.1464 |
| No log | 2.7368 | 52 | 1.1324 | 0.1408 | 1.1324 | 1.0641 |
| No log | 2.8421 | 54 | 1.1472 | 0.1489 | 1.1472 | 1.0711 |
| No log | 2.9474 | 56 | 1.4208 | 0.1914 | 1.4208 | 1.1920 |
| No log | 3.0526 | 58 | 1.8329 | 0.1078 | 1.8329 | 1.3538 |
| No log | 3.1579 | 60 | 1.8597 | 0.1020 | 1.8597 | 1.3637 |
| No log | 3.2632 | 62 | 1.5590 | 0.1627 | 1.5590 | 1.2486 |
| No log | 3.3684 | 64 | 1.3824 | 0.2062 | 1.3824 | 1.1758 |
| No log | 3.4737 | 66 | 1.5354 | 0.1322 | 1.5354 | 1.2391 |
| No log | 3.5789 | 68 | 1.8041 | 0.1283 | 1.8041 | 1.3432 |
| No log | 3.6842 | 70 | 1.9207 | -0.0056 | 1.9207 | 1.3859 |
| No log | 3.7895 | 72 | 1.9470 | 0.0018 | 1.9470 | 1.3953 |
| No log | 3.8947 | 74 | 1.9005 | -0.0283 | 1.9005 | 1.3786 |
| No log | 4.0 | 76 | 1.8293 | 0.0477 | 1.8293 | 1.3525 |
| No log | 4.1053 | 78 | 1.6410 | 0.0484 | 1.6410 | 1.2810 |
| No log | 4.2105 | 80 | 1.5210 | 0.1081 | 1.5210 | 1.2333 |
| No log | 4.3158 | 82 | 1.4128 | 0.0033 | 1.4128 | 1.1886 |
| No log | 4.4211 | 84 | 1.3978 | 0.0691 | 1.3978 | 1.1823 |
| No log | 4.5263 | 86 | 1.4478 | 0.1081 | 1.4478 | 1.2032 |
| No log | 4.6316 | 88 | 1.5616 | 0.1328 | 1.5616 | 1.2496 |
| No log | 4.7368 | 90 | 1.7871 | 0.1207 | 1.7871 | 1.3368 |
| No log | 4.8421 | 92 | 1.9847 | 0.1252 | 1.9847 | 1.4088 |
| No log | 4.9474 | 94 | 1.9684 | 0.1176 | 1.9684 | 1.4030 |
| No log | 5.0526 | 96 | 1.6582 | 0.1353 | 1.6582 | 1.2877 |
| No log | 5.1579 | 98 | 1.6566 | 0.1353 | 1.6566 | 1.2871 |
| No log | 5.2632 | 100 | 1.9027 | 0.1409 | 1.9027 | 1.3794 |
| No log | 5.3684 | 102 | 2.3246 | 0.0950 | 2.3246 | 1.5247 |
| No log | 5.4737 | 104 | 2.2937 | 0.0900 | 2.2937 | 1.5145 |
| No log | 5.5789 | 106 | 2.0357 | 0.1368 | 2.0357 | 1.4268 |
| No log | 5.6842 | 108 | 1.6459 | 0.1071 | 1.6459 | 1.2829 |
| No log | 5.7895 | 110 | 1.4526 | 0.1751 | 1.4526 | 1.2052 |
| No log | 5.8947 | 112 | 1.4925 | 0.1630 | 1.4925 | 1.2217 |
| No log | 6.0 | 114 | 1.6254 | 0.1000 | 1.6254 | 1.2749 |
| No log | 6.1053 | 116 | 1.6562 | 0.1000 | 1.6562 | 1.2869 |
| No log | 6.2105 | 118 | 1.6339 | 0.1365 | 1.6339 | 1.2782 |
| No log | 6.3158 | 120 | 1.5847 | 0.2129 | 1.5847 | 1.2588 |
| No log | 6.4211 | 122 | 1.6998 | 0.1183 | 1.6998 | 1.3038 |
| No log | 6.5263 | 124 | 1.8697 | 0.1140 | 1.8697 | 1.3674 |
| No log | 6.6316 | 126 | 2.0163 | 0.1258 | 2.0163 | 1.4200 |
| No log | 6.7368 | 128 | 1.8876 | 0.1505 | 1.8876 | 1.3739 |
| No log | 6.8421 | 130 | 1.5074 | 0.1562 | 1.5074 | 1.2278 |
| No log | 6.9474 | 132 | 1.2349 | 0.0987 | 1.2349 | 1.1112 |
| No log | 7.0526 | 134 | 1.2134 | 0.1141 | 1.2134 | 1.1015 |
| No log | 7.1579 | 136 | 1.3453 | 0.0931 | 1.3453 | 1.1599 |
| No log | 7.2632 | 138 | 1.6169 | 0.1509 | 1.6169 | 1.2716 |
| No log | 7.3684 | 140 | 1.6776 | 0.1487 | 1.6776 | 1.2952 |
| No log | 7.4737 | 142 | 1.5720 | 0.1729 | 1.5720 | 1.2538 |
| No log | 7.5789 | 144 | 1.5050 | 0.1832 | 1.5050 | 1.2268 |
| No log | 7.6842 | 146 | 1.5236 | 0.2117 | 1.5236 | 1.2344 |
| No log | 7.7895 | 148 | 1.6316 | 0.1344 | 1.6316 | 1.2773 |
| No log | 7.8947 | 150 | 1.6265 | 0.1467 | 1.6265 | 1.2753 |
| No log | 8.0 | 152 | 1.5042 | 0.2221 | 1.5042 | 1.2265 |
| No log | 8.1053 | 154 | 1.4140 | 0.2117 | 1.4140 | 1.1891 |
| No log | 8.2105 | 156 | 1.4277 | 0.2117 | 1.4277 | 1.1949 |
| No log | 8.3158 | 158 | 1.3340 | 0.1958 | 1.3340 | 1.1550 |
| No log | 8.4211 | 160 | 1.3011 | 0.1904 | 1.3011 | 1.1407 |
| No log | 8.5263 | 162 | 1.3779 | 0.1832 | 1.3779 | 1.1738 |
| No log | 8.6316 | 164 | 1.5340 | 0.2170 | 1.5340 | 1.2386 |
| No log | 8.7368 | 166 | 1.5985 | 0.1635 | 1.5985 | 1.2643 |
| No log | 8.8421 | 168 | 1.6468 | 0.1694 | 1.6468 | 1.2833 |
| No log | 8.9474 | 170 | 1.6180 | 0.1694 | 1.6180 | 1.2720 |
| No log | 9.0526 | 172 | 1.4764 | 0.1595 | 1.4764 | 1.2151 |
| No log | 9.1579 | 174 | 1.4013 | 0.0760 | 1.4013 | 1.1838 |
| No log | 9.2632 | 176 | 1.3915 | 0.0 | 1.3915 | 1.1796 |
| No log | 9.3684 | 178 | 1.4553 | 0.1814 | 1.4553 | 1.2064 |
| No log | 9.4737 | 180 | 1.4647 | 0.2126 | 1.4647 | 1.2102 |
| No log | 9.5789 | 182 | 1.4300 | 0.2126 | 1.4300 | 1.1958 |
| No log | 9.6842 | 184 | 1.3483 | 0.0401 | 1.3483 | 1.1611 |
| No log | 9.7895 | 186 | 1.2226 | -0.0091 | 1.2226 | 1.1057 |
| No log | 9.8947 | 188 | 1.2123 | 0.1198 | 1.2123 | 1.1010 |
| No log | 10.0 | 190 | 1.3346 | 0.1980 | 1.3346 | 1.1552 |
| No log | 10.1053 | 192 | 1.5156 | 0.2005 | 1.5156 | 1.2311 |
| No log | 10.2105 | 194 | 1.5091 | 0.2058 | 1.5091 | 1.2284 |
| No log | 10.3158 | 196 | 1.4360 | 0.1950 | 1.4360 | 1.1984 |
| No log | 10.4211 | 198 | 1.2549 | 0.0691 | 1.2549 | 1.1202 |
| No log | 10.5263 | 200 | 1.2047 | -0.0216 | 1.2047 | 1.0976 |
| No log | 10.6316 | 202 | 1.3060 | 0.1728 | 1.3060 | 1.1428 |
| No log | 10.7368 | 204 | 1.4387 | 0.2005 | 1.4387 | 1.1994 |
| No log | 10.8421 | 206 | 1.5347 | 0.2005 | 1.5347 | 1.2388 |
| No log | 10.9474 | 208 | 1.4749 | 0.2005 | 1.4749 | 1.2144 |
| No log | 11.0526 | 210 | 1.3497 | 0.1832 | 1.3497 | 1.1618 |
| No log | 11.1579 | 212 | 1.1838 | 0.1170 | 1.1838 | 1.0880 |
| No log | 11.2632 | 214 | 1.1582 | 0.0811 | 1.1582 | 1.0762 |
| No log | 11.3684 | 216 | 1.2644 | 0.1880 | 1.2644 | 1.1245 |
| No log | 11.4737 | 218 | 1.4375 | 0.1950 | 1.4375 | 1.1990 |
| No log | 11.5789 | 220 | 1.5114 | 0.1950 | 1.5114 | 1.2294 |
| No log | 11.6842 | 222 | 1.6426 | 0.1344 | 1.6426 | 1.2816 |
| No log | 11.7895 | 224 | 1.7073 | 0.1663 | 1.7073 | 1.3066 |
| No log | 11.8947 | 226 | 1.6150 | 0.1279 | 1.6150 | 1.2708 |
| No log | 12.0 | 228 | 1.4748 | 0.1943 | 1.4748 | 1.2144 |
| No log | 12.1053 | 230 | 1.4182 | 0.2065 | 1.4182 | 1.1909 |
| No log | 12.2105 | 232 | 1.4542 | 0.2065 | 1.4542 | 1.2059 |
| No log | 12.3158 | 234 | 1.5582 | 0.1573 | 1.5582 | 1.2483 |
| No log | 12.4211 | 236 | 1.6654 | 0.1007 | 1.6654 | 1.2905 |
| No log | 12.5263 | 238 | 1.7155 | 0.1014 | 1.7155 | 1.3098 |
| No log | 12.6316 | 240 | 1.5630 | 0.2110 | 1.5630 | 1.2502 |
| No log | 12.7368 | 242 | 1.3691 | 0.1751 | 1.3691 | 1.1701 |
| No log | 12.8421 | 244 | 1.3465 | 0.1751 | 1.3465 | 1.1604 |
| No log | 12.9474 | 246 | 1.5056 | 0.2058 | 1.5056 | 1.2270 |
| No log | 13.0526 | 248 | 1.5367 | 0.2058 | 1.5367 | 1.2396 |
| No log | 13.1579 | 250 | 1.5288 | 0.2005 | 1.5288 | 1.2364 |
| No log | 13.2632 | 252 | 1.4272 | 0.1562 | 1.4272 | 1.1946 |
| No log | 13.3684 | 254 | 1.3997 | 0.0781 | 1.3997 | 1.1831 |
| No log | 13.4737 | 256 | 1.4326 | 0.0781 | 1.4326 | 1.1969 |
| No log | 13.5789 | 258 | 1.4056 | 0.0390 | 1.4056 | 1.1856 |
| No log | 13.6842 | 260 | 1.4711 | 0.1032 | 1.4711 | 1.2129 |
| No log | 13.7895 | 262 | 1.5718 | 0.2005 | 1.5718 | 1.2537 |
| No log | 13.8947 | 264 | 1.6196 | 0.1694 | 1.6196 | 1.2726 |
| No log | 14.0 | 266 | 1.6067 | 0.1635 | 1.6067 | 1.2676 |
| No log | 14.1053 | 268 | 1.4812 | 0.1950 | 1.4812 | 1.2171 |
| No log | 14.2105 | 270 | 1.4407 | 0.1950 | 1.4407 | 1.2003 |
| No log | 14.3158 | 272 | 1.4133 | 0.1950 | 1.4133 | 1.1888 |
| No log | 14.4211 | 274 | 1.4751 | 0.1950 | 1.4751 | 1.2145 |
| No log | 14.5263 | 276 | 1.4878 | 0.1950 | 1.4878 | 1.2198 |
| No log | 14.6316 | 278 | 1.4498 | 0.2117 | 1.4498 | 1.2041 |
| No log | 14.7368 | 280 | 1.3721 | 0.2292 | 1.3721 | 1.1714 |
| No log | 14.8421 | 282 | 1.3313 | 0.2084 | 1.3313 | 1.1538 |
| No log | 14.9474 | 284 | 1.4384 | 0.2170 | 1.4384 | 1.1993 |
| No log | 15.0526 | 286 | 1.4810 | 0.2342 | 1.4810 | 1.2170 |
| No log | 15.1579 | 288 | 1.4927 | 0.1943 | 1.4927 | 1.2217 |
| No log | 15.2632 | 290 | 1.5083 | 0.1943 | 1.5083 | 1.2281 |
| No log | 15.3684 | 292 | 1.5456 | 0.2062 | 1.5456 | 1.2432 |
| No log | 15.4737 | 294 | 1.5499 | 0.2117 | 1.5499 | 1.2450 |
| No log | 15.5789 | 296 | 1.5157 | 0.2117 | 1.5157 | 1.2311 |
| No log | 15.6842 | 298 | 1.4273 | 0.2117 | 1.4273 | 1.1947 |
| No log | 15.7895 | 300 | 1.4342 | 0.1950 | 1.4342 | 1.1976 |
| No log | 15.8947 | 302 | 1.4540 | 0.1950 | 1.4540 | 1.2058 |
| No log | 16.0 | 304 | 1.3503 | 0.1790 | 1.3503 | 1.1620 |
| No log | 16.1053 | 306 | 1.3156 | 0.1790 | 1.3156 | 1.1470 |
| No log | 16.2105 | 308 | 1.4009 | 0.1950 | 1.4009 | 1.1836 |
| No log | 16.3158 | 310 | 1.4128 | 0.1950 | 1.4128 | 1.1886 |
| No log | 16.4211 | 312 | 1.4051 | 0.1950 | 1.4051 | 1.1854 |
| No log | 16.5263 | 314 | 1.2677 | 0.2211 | 1.2677 | 1.1259 |
| No log | 16.6316 | 316 | 1.2217 | 0.2112 | 1.2217 | 1.1053 |
| No log | 16.7368 | 318 | 1.3630 | 0.2144 | 1.3630 | 1.1675 |
| No log | 16.8421 | 320 | 1.3979 | 0.2144 | 1.3979 | 1.1823 |
| No log | 16.9474 | 322 | 1.4235 | 0.1810 | 1.4235 | 1.1931 |
| No log | 17.0526 | 324 | 1.3596 | 0.1980 | 1.3596 | 1.1660 |
| No log | 17.1579 | 326 | 1.3495 | 0.1854 | 1.3495 | 1.1617 |
| No log | 17.2632 | 328 | 1.3606 | 0.2184 | 1.3606 | 1.1664 |
| No log | 17.3684 | 330 | 1.3182 | 0.2372 | 1.3182 | 1.1481 |
| No log | 17.4737 | 332 | 1.2991 | 0.2203 | 1.2991 | 1.1398 |
| No log | 17.5789 | 334 | 1.3225 | 0.2315 | 1.3225 | 1.1500 |
| No log | 17.6842 | 336 | 1.3133 | 0.2315 | 1.3133 | 1.1460 |
| No log | 17.7895 | 338 | 1.4054 | 0.2187 | 1.4054 | 1.1855 |
| No log | 17.8947 | 340 | 1.5551 | 0.1902 | 1.5551 | 1.2471 |
| No log | 18.0 | 342 | 1.7049 | 0.2457 | 1.7049 | 1.3057 |
| No log | 18.1053 | 344 | 1.7269 | 0.2457 | 1.7269 | 1.3141 |
| No log | 18.2105 | 346 | 1.6023 | 0.2448 | 1.6023 | 1.2658 |
| No log | 18.3158 | 348 | 1.4209 | 0.1914 | 1.4209 | 1.1920 |
| No log | 18.4211 | 350 | 1.2933 | 0.1316 | 1.2933 | 1.1372 |
| No log | 18.5263 | 352 | 1.2627 | 0.0310 | 1.2627 | 1.1237 |
| No log | 18.6316 | 354 | 1.2832 | 0.0961 | 1.2832 | 1.1328 |
| No log | 18.7368 | 356 | 1.3197 | 0.1512 | 1.3197 | 1.1488 |
| No log | 18.8421 | 358 | 1.3969 | 0.2417 | 1.3969 | 1.1819 |
| No log | 18.9474 | 360 | 1.4939 | 0.2005 | 1.4939 | 1.2223 |
| No log | 19.0526 | 362 | 1.5347 | 0.1635 | 1.5347 | 1.2388 |
| No log | 19.1579 | 364 | 1.4856 | 0.2005 | 1.4856 | 1.2189 |
| No log | 19.2632 | 366 | 1.3601 | 0.2240 | 1.3601 | 1.1662 |
| No log | 19.3684 | 368 | 1.2618 | 0.2126 | 1.2618 | 1.1233 |
| No log | 19.4737 | 370 | 1.2974 | 0.2126 | 1.2974 | 1.1391 |
| No log | 19.5789 | 372 | 1.3120 | 0.2126 | 1.3120 | 1.1454 |
| No log | 19.6842 | 374 | 1.2432 | 0.2126 | 1.2432 | 1.1150 |
| No log | 19.7895 | 376 | 1.2422 | 0.2126 | 1.2422 | 1.1145 |
| No log | 19.8947 | 378 | 1.3295 | 0.2292 | 1.3295 | 1.1530 |
| No log | 20.0 | 380 | 1.4918 | 0.2117 | 1.4918 | 1.2214 |
| No log | 20.1053 | 382 | 1.4861 | 0.1630 | 1.4861 | 1.2191 |
| No log | 20.2105 | 384 | 1.4523 | 0.1872 | 1.4523 | 1.2051 |
| No log | 20.3158 | 386 | 1.4816 | 0.1630 | 1.4816 | 1.2172 |
| No log | 20.4211 | 388 | 1.4997 | 0.2062 | 1.4997 | 1.2246 |
| No log | 20.5263 | 390 | 1.4411 | 0.2239 | 1.4411 | 1.2005 |
| No log | 20.6316 | 392 | 1.3935 | 0.1703 | 1.3935 | 1.1805 |
| No log | 20.7368 | 394 | 1.3043 | 0.1247 | 1.3043 | 1.1420 |
| No log | 20.8421 | 396 | 1.2171 | 0.0840 | 1.2171 | 1.1032 |
| No log | 20.9474 | 398 | 1.2390 | 0.1581 | 1.2390 | 1.1131 |
| No log | 21.0526 | 400 | 1.4146 | 0.1810 | 1.4146 | 1.1894 |
| No log | 21.1579 | 402 | 1.5781 | 0.2448 | 1.5781 | 1.2562 |
| No log | 21.2632 | 404 | 1.6014 | 0.2338 | 1.6014 | 1.2655 |
| No log | 21.3684 | 406 | 1.4729 | 0.2005 | 1.4729 | 1.2136 |
| No log | 21.4737 | 408 | 1.3256 | 0.2239 | 1.3256 | 1.1514 |
| No log | 21.5789 | 410 | 1.2341 | 0.1486 | 1.2341 | 1.1109 |
| No log | 21.6842 | 412 | 1.2260 | 0.1486 | 1.2260 | 1.1073 |
| No log | 21.7895 | 414 | 1.2750 | 0.1486 | 1.2750 | 1.1292 |
| No log | 21.8947 | 416 | 1.3338 | 0.2065 | 1.3338 | 1.1549 |
| No log | 22.0 | 418 | 1.3900 | 0.2474 | 1.3900 | 1.1790 |
| No log | 22.1053 | 420 | 1.3781 | 0.2417 | 1.3781 | 1.1739 |
| No log | 22.2105 | 422 | 1.3538 | 0.2417 | 1.3538 | 1.1635 |
| No log | 22.3158 | 424 | 1.4548 | 0.2292 | 1.4548 | 1.2062 |
| No log | 22.4211 | 426 | 1.5958 | 0.1847 | 1.5958 | 1.2633 |
| No log | 22.5263 | 428 | 1.6211 | 0.1729 | 1.6211 | 1.2732 |
| No log | 22.6316 | 430 | 1.5029 | 0.2126 | 1.5029 | 1.2259 |
| No log | 22.7368 | 432 | 1.3322 | 0.0401 | 1.3322 | 1.1542 |
| No log | 22.8421 | 434 | 1.2148 | -0.0091 | 1.2148 | 1.1022 |
| No log | 22.9474 | 436 | 1.2069 | -0.0091 | 1.2069 | 1.0986 |
| No log | 23.0526 | 438 | 1.2844 | 0.0 | 1.2844 | 1.1333 |
| No log | 23.1579 | 440 | 1.4172 | 0.0401 | 1.4172 | 1.1905 |
| No log | 23.2632 | 442 | 1.5379 | 0.2126 | 1.5379 | 1.2401 |
| No log | 23.3684 | 444 | 1.5846 | 0.1943 | 1.5846 | 1.2588 |
| No log | 23.4737 | 446 | 1.5384 | 0.1943 | 1.5384 | 1.2403 |
| No log | 23.5789 | 448 | 1.4588 | 0.2126 | 1.4588 | 1.2078 |
| No log | 23.6842 | 450 | 1.4205 | 0.1562 | 1.4205 | 1.1919 |
| No log | 23.7895 | 452 | 1.4199 | 0.1486 | 1.4199 | 1.1916 |
| No log | 23.8947 | 454 | 1.4445 | 0.1486 | 1.4445 | 1.2019 |
| No log | 24.0 | 456 | 1.4344 | 0.1486 | 1.4344 | 1.1977 |
| No log | 24.1053 | 458 | 1.4670 | 0.1486 | 1.4670 | 1.2112 |
| No log | 24.2105 | 460 | 1.4660 | 0.1142 | 1.4660 | 1.2108 |
| No log | 24.3158 | 462 | 1.4204 | 0.1142 | 1.4204 | 1.1918 |
| No log | 24.4211 | 464 | 1.3417 | 0.0 | 1.3417 | 1.1583 |
| No log | 24.5263 | 466 | 1.3004 | 0.0 | 1.3004 | 1.1404 |
| No log | 24.6316 | 468 | 1.3303 | 0.0781 | 1.3303 | 1.1534 |
| No log | 24.7368 | 470 | 1.4213 | 0.2126 | 1.4213 | 1.1922 |
| No log | 24.8421 | 472 | 1.5387 | 0.2170 | 1.5387 | 1.2405 |
| No log | 24.9474 | 474 | 1.6522 | 0.2363 | 1.6522 | 1.2854 |
| No log | 25.0526 | 476 | 1.7189 | 0.2296 | 1.7189 | 1.3111 |
| No log | 25.1579 | 478 | 1.7088 | 0.2363 | 1.7088 | 1.3072 |
| No log | 25.2632 | 480 | 1.6519 | 0.1950 | 1.6519 | 1.2853 |
| No log | 25.3684 | 482 | 1.5744 | 0.2292 | 1.5744 | 1.2548 |
| No log | 25.4737 | 484 | 1.5190 | 0.2292 | 1.5190 | 1.2325 |
| No log | 25.5789 | 486 | 1.4771 | 0.2292 | 1.4771 | 1.2154 |
| No log | 25.6842 | 488 | 1.4749 | 0.2292 | 1.4749 | 1.2145 |
| No log | 25.7895 | 490 | 1.4797 | 0.2292 | 1.4797 | 1.2164 |
| No log | 25.8947 | 492 | 1.4899 | 0.2292 | 1.4899 | 1.2206 |
| No log | 26.0 | 494 | 1.4702 | 0.2065 | 1.4702 | 1.2125 |
| No log | 26.1053 | 496 | 1.4526 | 0.1486 | 1.4526 | 1.2053 |
| No log | 26.2105 | 498 | 1.4703 | 0.2065 | 1.4703 | 1.2126 |
| 0.2187 | 26.3158 | 500 | 1.4753 | 0.2184 | 1.4753 | 1.2146 |
| 0.2187 | 26.4211 | 502 | 1.4874 | 0.2292 | 1.4874 | 1.2196 |
| 0.2187 | 26.5263 | 504 | 1.5010 | 0.2292 | 1.5010 | 1.2252 |
| 0.2187 | 26.6316 | 506 | 1.5358 | 0.2117 | 1.5358 | 1.2393 |
| 0.2187 | 26.7368 | 508 | 1.4807 | 0.2239 | 1.4807 | 1.2168 |
| 0.2187 | 26.8421 | 510 | 1.3879 | 0.2555 | 1.3879 | 1.1781 |
| 0.2187 | 26.9474 | 512 | 1.3383 | 0.1288 | 1.3383 | 1.1569 |
| 0.2187 | 27.0526 | 514 | 1.2672 | 0.0931 | 1.2672 | 1.1257 |
| 0.2187 | 27.1579 | 516 | 1.2519 | 0.1255 | 1.2519 | 1.1189 |
| 0.2187 | 27.2632 | 518 | 1.2594 | 0.1727 | 1.2594 | 1.1222 |
| 0.2187 | 27.3684 | 520 | 1.2576 | 0.1727 | 1.2576 | 1.1214 |
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_run1_AugV5_k8_task5_organization
Base model
aubmindlab/bert-base-arabertv02