Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask4_relevance
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: 0.1582
- Qwk: 0.1375
- Mse: 0.1582
- Rmse: 0.3977
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 | 0.0187 | 2 | 1.1616 | 0.0040 | 1.1616 | 1.0778 |
| No log | 0.0374 | 4 | 0.6907 | -0.0252 | 0.6907 | 0.8311 |
| No log | 0.0561 | 6 | 0.4942 | -0.0148 | 0.4942 | 0.7030 |
| No log | 0.0748 | 8 | 0.2441 | 0.1544 | 0.2441 | 0.4940 |
| No log | 0.0935 | 10 | 0.1809 | 0.1264 | 0.1809 | 0.4254 |
| No log | 0.1121 | 12 | 0.1732 | 0.1115 | 0.1732 | 0.4162 |
| No log | 0.1308 | 14 | 0.1960 | 0.0413 | 0.1960 | 0.4427 |
| No log | 0.1495 | 16 | 0.1633 | 0.0320 | 0.1633 | 0.4040 |
| No log | 0.1682 | 18 | 0.1719 | -0.0183 | 0.1719 | 0.4146 |
| No log | 0.1869 | 20 | 0.1668 | 0.0776 | 0.1668 | 0.4085 |
| No log | 0.2056 | 22 | 0.1787 | 0.0659 | 0.1787 | 0.4227 |
| No log | 0.2243 | 24 | 0.1912 | 0.0548 | 0.1912 | 0.4373 |
| No log | 0.2430 | 26 | 0.1773 | 0.0475 | 0.1773 | 0.4211 |
| No log | 0.2617 | 28 | 0.1721 | 0.0810 | 0.1721 | 0.4149 |
| No log | 0.2804 | 30 | 0.1893 | 0.1398 | 0.1893 | 0.4351 |
| No log | 0.2991 | 32 | 0.2053 | 0.0548 | 0.2053 | 0.4531 |
| No log | 0.3178 | 34 | 0.2158 | 0.0261 | 0.2158 | 0.4646 |
| No log | 0.3364 | 36 | 0.2079 | 0.0667 | 0.2079 | 0.4560 |
| No log | 0.3551 | 38 | 0.1815 | 0.0027 | 0.1815 | 0.4260 |
| No log | 0.3738 | 40 | 0.1830 | -0.0601 | 0.1830 | 0.4278 |
| No log | 0.3925 | 42 | 0.1941 | -0.0271 | 0.1941 | 0.4406 |
| No log | 0.4112 | 44 | 0.1788 | 0.0166 | 0.1788 | 0.4228 |
| No log | 0.4299 | 46 | 0.1748 | -0.0342 | 0.1748 | 0.4181 |
| No log | 0.4486 | 48 | 0.1834 | 0.2016 | 0.1834 | 0.4283 |
| No log | 0.4673 | 50 | 0.1751 | 0.0122 | 0.1751 | 0.4185 |
| No log | 0.4860 | 52 | 0.1878 | -0.0271 | 0.1878 | 0.4334 |
| No log | 0.5047 | 54 | 0.2047 | 0.0 | 0.2047 | 0.4524 |
| No log | 0.5234 | 56 | 0.1915 | 0.0 | 0.1915 | 0.4376 |
| No log | 0.5421 | 58 | 0.1653 | -0.0357 | 0.1653 | 0.4066 |
| No log | 0.5607 | 60 | 0.1683 | 0.0720 | 0.1683 | 0.4103 |
| No log | 0.5794 | 62 | 0.1707 | 0.1203 | 0.1707 | 0.4132 |
| No log | 0.5981 | 64 | 0.1680 | 0.0720 | 0.1680 | 0.4098 |
| No log | 0.6168 | 66 | 0.1660 | 0.0288 | 0.1660 | 0.4075 |
| No log | 0.6355 | 68 | 0.1732 | -0.0188 | 0.1732 | 0.4162 |
| No log | 0.6542 | 70 | 0.2003 | 0.0855 | 0.2003 | 0.4475 |
| No log | 0.6729 | 72 | 0.2068 | 0.0855 | 0.2068 | 0.4547 |
| No log | 0.6916 | 74 | 0.1841 | 0.1235 | 0.1841 | 0.4291 |
| No log | 0.7103 | 76 | 0.1691 | 0.0375 | 0.1691 | 0.4112 |
| No log | 0.7290 | 78 | 0.1636 | 0.0412 | 0.1636 | 0.4044 |
| No log | 0.7477 | 80 | 0.1598 | 0.0166 | 0.1598 | 0.3997 |
| No log | 0.7664 | 82 | 0.1613 | 0.0075 | 0.1613 | 0.4017 |
| No log | 0.7850 | 84 | 0.1641 | 0.0741 | 0.1641 | 0.4051 |
| No log | 0.8037 | 86 | 0.1622 | 0.0553 | 0.1622 | 0.4028 |
| No log | 0.8224 | 88 | 0.1675 | 0.1573 | 0.1675 | 0.4093 |
| No log | 0.8411 | 90 | 0.1692 | 0.1190 | 0.1692 | 0.4114 |
| No log | 0.8598 | 92 | 0.1640 | 0.1162 | 0.1640 | 0.4050 |
| No log | 0.8785 | 94 | 0.1815 | -0.0093 | 0.1815 | 0.4260 |
| No log | 0.8972 | 96 | 0.2071 | 0.0 | 0.2071 | 0.4551 |
| No log | 0.9159 | 98 | 0.1890 | 0.0 | 0.1890 | 0.4347 |
| No log | 0.9346 | 100 | 0.1729 | -0.0093 | 0.1729 | 0.4159 |
| No log | 0.9533 | 102 | 0.1726 | -0.0440 | 0.1726 | 0.4154 |
| No log | 0.9720 | 104 | 0.1794 | -0.0357 | 0.1794 | 0.4236 |
| No log | 0.9907 | 106 | 0.1861 | -0.0093 | 0.1861 | 0.4313 |
| No log | 1.0093 | 108 | 0.1860 | -0.0093 | 0.1860 | 0.4313 |
| No log | 1.0280 | 110 | 0.1751 | -0.0183 | 0.1751 | 0.4184 |
| No log | 1.0467 | 112 | 0.2002 | -0.0093 | 0.2002 | 0.4474 |
| No log | 1.0654 | 114 | 0.2002 | -0.0093 | 0.2002 | 0.4474 |
| No log | 1.0841 | 116 | 0.1783 | -0.0271 | 0.1783 | 0.4223 |
| No log | 1.1028 | 118 | 0.1699 | 0.0122 | 0.1699 | 0.4121 |
| No log | 1.1215 | 120 | 0.2017 | 0.0791 | 0.2017 | 0.4491 |
| No log | 1.1402 | 122 | 0.2177 | 0.0985 | 0.2177 | 0.4666 |
| No log | 1.1589 | 124 | 0.2073 | 0.0893 | 0.2073 | 0.4553 |
| No log | 1.1776 | 126 | 0.1805 | -0.0527 | 0.1805 | 0.4249 |
| No log | 1.1963 | 128 | 0.1758 | -0.0679 | 0.1758 | 0.4193 |
| No log | 1.2150 | 130 | 0.1822 | -0.0271 | 0.1822 | 0.4269 |
| No log | 1.2336 | 132 | 0.1763 | -0.0271 | 0.1763 | 0.4199 |
| No log | 1.2523 | 134 | 0.1683 | -0.0828 | 0.1683 | 0.4102 |
| No log | 1.2710 | 136 | 0.1725 | 0.0103 | 0.1725 | 0.4153 |
| No log | 1.2897 | 138 | 0.1705 | 0.0509 | 0.1705 | 0.4129 |
| No log | 1.3084 | 140 | 0.1662 | -0.0183 | 0.1662 | 0.4076 |
| No log | 1.3271 | 142 | 0.1662 | -0.0183 | 0.1662 | 0.4077 |
| No log | 1.3458 | 144 | 0.1738 | 0.0375 | 0.1738 | 0.4169 |
| No log | 1.3645 | 146 | 0.1754 | 0.1099 | 0.1754 | 0.4188 |
| No log | 1.3832 | 148 | 0.1702 | -0.0357 | 0.1702 | 0.4126 |
| No log | 1.4019 | 150 | 0.1628 | -0.0093 | 0.1628 | 0.4035 |
| No log | 1.4206 | 152 | 0.1564 | 0.0 | 0.1564 | 0.3955 |
| No log | 1.4393 | 154 | 0.1551 | 0.0 | 0.1551 | 0.3938 |
| No log | 1.4579 | 156 | 0.1542 | 0.0 | 0.1542 | 0.3926 |
| No log | 1.4766 | 158 | 0.1538 | 0.0412 | 0.1538 | 0.3922 |
| No log | 1.4953 | 160 | 0.1538 | 0.1062 | 0.1538 | 0.3922 |
| No log | 1.5140 | 162 | 0.1540 | 0.0166 | 0.1540 | 0.3924 |
| No log | 1.5327 | 164 | 0.1539 | 0.0506 | 0.1539 | 0.3923 |
| No log | 1.5514 | 166 | 0.1527 | 0.0320 | 0.1527 | 0.3908 |
| No log | 1.5701 | 168 | 0.1535 | 0.0166 | 0.1535 | 0.3918 |
| No log | 1.5888 | 170 | 0.1548 | 0.0166 | 0.1548 | 0.3935 |
| No log | 1.6075 | 172 | 0.1525 | 0.1566 | 0.1525 | 0.3906 |
| No log | 1.6262 | 174 | 0.1552 | 0.1884 | 0.1552 | 0.3940 |
| No log | 1.6449 | 176 | 0.1543 | 0.1856 | 0.1543 | 0.3928 |
| No log | 1.6636 | 178 | 0.1694 | 0.0260 | 0.1694 | 0.4116 |
| No log | 1.6822 | 180 | 0.1845 | -0.0093 | 0.1845 | 0.4295 |
| No log | 1.7009 | 182 | 0.1808 | -0.0093 | 0.1808 | 0.4252 |
| No log | 1.7196 | 184 | 0.1860 | -0.0271 | 0.1860 | 0.4312 |
| No log | 1.7383 | 186 | 0.1773 | 0.0 | 0.1773 | 0.4211 |
| No log | 1.7570 | 188 | 0.1697 | 0.0 | 0.1697 | 0.4119 |
| No log | 1.7757 | 190 | 0.1608 | 0.0 | 0.1608 | 0.4010 |
| No log | 1.7944 | 192 | 0.1568 | 0.0356 | 0.1568 | 0.3959 |
| No log | 1.8131 | 194 | 0.1529 | 0.0260 | 0.1529 | 0.3911 |
| No log | 1.8318 | 196 | 0.1530 | 0.0938 | 0.1530 | 0.3911 |
| No log | 1.8505 | 198 | 0.1547 | 0.0938 | 0.1547 | 0.3934 |
| No log | 1.8692 | 200 | 0.1674 | 0.0260 | 0.1674 | 0.4092 |
| No log | 1.8879 | 202 | 0.1927 | 0.0356 | 0.1927 | 0.4390 |
| No log | 1.9065 | 204 | 0.1933 | 0.0 | 0.1933 | 0.4397 |
| No log | 1.9252 | 206 | 0.1711 | 0.0 | 0.1711 | 0.4136 |
| No log | 1.9439 | 208 | 0.1567 | 0.0 | 0.1567 | 0.3959 |
| No log | 1.9626 | 210 | 0.1641 | 0.0964 | 0.1641 | 0.4052 |
| No log | 1.9813 | 212 | 0.1726 | 0.1203 | 0.1726 | 0.4154 |
| No log | 2.0 | 214 | 0.1636 | 0.0166 | 0.1636 | 0.4045 |
| No log | 2.0187 | 216 | 0.1593 | 0.0412 | 0.1593 | 0.3991 |
| No log | 2.0374 | 218 | 0.1527 | 0.0741 | 0.1527 | 0.3908 |
| No log | 2.0561 | 220 | 0.1491 | 0.0741 | 0.1491 | 0.3862 |
| No log | 2.0748 | 222 | 0.1512 | 0.0603 | 0.1512 | 0.3888 |
| No log | 2.0935 | 224 | 0.1802 | 0.0260 | 0.1802 | 0.4244 |
| No log | 2.1121 | 226 | 0.2324 | 0.0 | 0.2324 | 0.4821 |
| No log | 2.1308 | 228 | 0.2475 | 0.0 | 0.2475 | 0.4974 |
| No log | 2.1495 | 230 | 0.2074 | 0.0 | 0.2074 | 0.4554 |
| No log | 2.1682 | 232 | 0.1672 | 0.0 | 0.1672 | 0.4089 |
| No log | 2.1869 | 234 | 0.1573 | 0.0 | 0.1573 | 0.3965 |
| No log | 2.2056 | 236 | 0.1805 | 0.0075 | 0.1805 | 0.4248 |
| No log | 2.2243 | 238 | 0.1915 | 0.0596 | 0.1915 | 0.4376 |
| No log | 2.2430 | 240 | 0.2039 | 0.2121 | 0.2039 | 0.4516 |
| No log | 2.2617 | 242 | 0.2210 | 0.2105 | 0.2210 | 0.4701 |
| No log | 2.2804 | 244 | 0.2461 | 0.2209 | 0.2461 | 0.4960 |
| No log | 2.2991 | 246 | 0.2513 | 0.2295 | 0.2513 | 0.5013 |
| No log | 2.3178 | 248 | 0.2475 | 0.2527 | 0.2475 | 0.4975 |
| No log | 2.3364 | 250 | 0.2336 | 0.2875 | 0.2336 | 0.4833 |
| No log | 2.3551 | 252 | 0.1987 | 0.1854 | 0.1987 | 0.4458 |
| No log | 2.3738 | 254 | 0.1761 | 0.1970 | 0.1761 | 0.4197 |
| No log | 2.3925 | 256 | 0.1578 | 0.1578 | 0.1578 | 0.3972 |
| No log | 2.4112 | 258 | 0.1499 | 0.0741 | 0.1499 | 0.3872 |
| No log | 2.4299 | 260 | 0.1562 | 0.0506 | 0.1562 | 0.3952 |
| No log | 2.4486 | 262 | 0.1674 | 0.0412 | 0.1674 | 0.4092 |
| No log | 2.4673 | 264 | 0.1622 | 0.0741 | 0.1622 | 0.4027 |
| No log | 2.4860 | 266 | 0.1547 | 0.0741 | 0.1547 | 0.3933 |
| No log | 2.5047 | 268 | 0.1564 | 0.0776 | 0.1564 | 0.3955 |
| No log | 2.5234 | 270 | 0.1692 | 0.1293 | 0.1692 | 0.4114 |
| No log | 2.5421 | 272 | 0.1736 | 0.1747 | 0.1736 | 0.4167 |
| No log | 2.5607 | 274 | 0.1707 | 0.1478 | 0.1707 | 0.4132 |
| No log | 2.5794 | 276 | 0.1603 | 0.0836 | 0.1603 | 0.4004 |
| No log | 2.5981 | 278 | 0.1577 | 0.0424 | 0.1577 | 0.3971 |
| No log | 2.6168 | 280 | 0.1638 | 0.0807 | 0.1638 | 0.4048 |
| No log | 2.6355 | 282 | 0.1673 | 0.1566 | 0.1673 | 0.4090 |
| No log | 2.6542 | 284 | 0.1719 | 0.1884 | 0.1719 | 0.4146 |
| No log | 2.6729 | 286 | 0.1742 | 0.1900 | 0.1742 | 0.4173 |
| No log | 2.6916 | 288 | 0.1811 | 0.2011 | 0.1811 | 0.4255 |
| No log | 2.7103 | 290 | 0.2126 | 0.1162 | 0.2126 | 0.4611 |
| No log | 2.7290 | 292 | 0.2629 | 0.0488 | 0.2629 | 0.5127 |
| No log | 2.7477 | 294 | 0.2678 | 0.0176 | 0.2678 | 0.5175 |
| No log | 2.7664 | 296 | 0.2289 | 0.0 | 0.2289 | 0.4784 |
| No log | 2.7850 | 298 | 0.1808 | 0.0 | 0.1808 | 0.4252 |
| No log | 2.8037 | 300 | 0.1601 | 0.0685 | 0.1601 | 0.4001 |
| No log | 2.8224 | 302 | 0.1890 | 0.1541 | 0.1890 | 0.4348 |
| No log | 2.8411 | 304 | 0.2007 | 0.1353 | 0.2007 | 0.4480 |
| No log | 2.8598 | 306 | 0.1735 | 0.2016 | 0.1735 | 0.4166 |
| No log | 2.8785 | 308 | 0.1723 | 0.1225 | 0.1723 | 0.4151 |
| No log | 2.8972 | 310 | 0.2121 | 0.1583 | 0.2121 | 0.4605 |
| No log | 2.9159 | 312 | 0.2262 | 0.1162 | 0.2262 | 0.4756 |
| No log | 2.9346 | 314 | 0.1973 | 0.0967 | 0.1973 | 0.4442 |
| No log | 2.9533 | 316 | 0.1985 | 0.1320 | 0.1985 | 0.4455 |
| No log | 2.9720 | 318 | 0.1944 | 0.1401 | 0.1944 | 0.4409 |
| No log | 2.9907 | 320 | 0.1719 | 0.0551 | 0.1719 | 0.4146 |
| No log | 3.0093 | 322 | 0.1811 | -0.0014 | 0.1811 | 0.4255 |
| No log | 3.0280 | 324 | 0.2244 | -0.0093 | 0.2244 | 0.4737 |
| No log | 3.0467 | 326 | 0.1932 | 0.1099 | 0.1932 | 0.4395 |
| No log | 3.0654 | 328 | 0.2231 | 0.1908 | 0.2231 | 0.4724 |
| No log | 3.0841 | 330 | 0.1903 | 0.2240 | 0.1903 | 0.4363 |
| No log | 3.1028 | 332 | 0.1765 | 0.0838 | 0.1765 | 0.4201 |
| No log | 3.1215 | 334 | 0.2071 | 0.0 | 0.2071 | 0.4551 |
| No log | 3.1402 | 336 | 0.1782 | 0.0 | 0.1782 | 0.4221 |
| No log | 3.1589 | 338 | 0.1569 | 0.0 | 0.1569 | 0.3961 |
| No log | 3.1776 | 340 | 0.1549 | 0.0260 | 0.1549 | 0.3936 |
| No log | 3.1963 | 342 | 0.1725 | 0.0260 | 0.1725 | 0.4153 |
| No log | 3.2150 | 344 | 0.2175 | 0.0 | 0.2175 | 0.4664 |
| No log | 3.2336 | 346 | 0.2174 | 0.0 | 0.2174 | 0.4663 |
| No log | 3.2523 | 348 | 0.1857 | 0.0356 | 0.1857 | 0.4309 |
| No log | 3.2710 | 350 | 0.1526 | 0.0166 | 0.1526 | 0.3906 |
| No log | 3.2897 | 352 | 0.1655 | 0.1826 | 0.1655 | 0.4068 |
| No log | 3.3084 | 354 | 0.2096 | 0.1772 | 0.2096 | 0.4579 |
| No log | 3.3271 | 356 | 0.2115 | 0.2134 | 0.2115 | 0.4599 |
| No log | 3.3458 | 358 | 0.1761 | 0.1800 | 0.1761 | 0.4196 |
| No log | 3.3645 | 360 | 0.1540 | 0.1578 | 0.1540 | 0.3925 |
| No log | 3.3832 | 362 | 0.1656 | 0.0356 | 0.1656 | 0.4069 |
| No log | 3.4019 | 364 | 0.1818 | 0.0 | 0.1818 | 0.4264 |
| No log | 3.4206 | 366 | 0.1787 | 0.0356 | 0.1787 | 0.4227 |
| No log | 3.4393 | 368 | 0.1605 | 0.0356 | 0.1605 | 0.4006 |
| No log | 3.4579 | 370 | 0.1529 | 0.0685 | 0.1529 | 0.3910 |
| No log | 3.4766 | 372 | 0.1514 | 0.1300 | 0.1514 | 0.3891 |
| No log | 3.4953 | 374 | 0.1537 | 0.1569 | 0.1537 | 0.3920 |
| No log | 3.5140 | 376 | 0.1601 | 0.1388 | 0.1601 | 0.4002 |
| No log | 3.5327 | 378 | 0.1604 | 0.1384 | 0.1604 | 0.4005 |
| No log | 3.5514 | 380 | 0.1634 | 0.1099 | 0.1634 | 0.4043 |
| No log | 3.5701 | 382 | 0.1675 | 0.0506 | 0.1675 | 0.4092 |
| No log | 3.5888 | 384 | 0.1632 | 0.0703 | 0.1632 | 0.4040 |
| No log | 3.6075 | 386 | 0.1532 | 0.0412 | 0.1532 | 0.3914 |
| No log | 3.6262 | 388 | 0.1549 | 0.0964 | 0.1549 | 0.3935 |
| No log | 3.6449 | 390 | 0.1558 | 0.0646 | 0.1558 | 0.3947 |
| No log | 3.6636 | 392 | 0.1579 | 0.0646 | 0.1579 | 0.3974 |
| No log | 3.6822 | 394 | 0.1591 | 0.1578 | 0.1591 | 0.3989 |
| No log | 3.7009 | 396 | 0.1618 | 0.1671 | 0.1618 | 0.4023 |
| No log | 3.7196 | 398 | 0.1618 | 0.2133 | 0.1618 | 0.4022 |
| No log | 3.7383 | 400 | 0.1620 | 0.2133 | 0.1620 | 0.4025 |
| No log | 3.7570 | 402 | 0.1682 | 0.1956 | 0.1682 | 0.4101 |
| No log | 3.7757 | 404 | 0.1797 | 0.1956 | 0.1797 | 0.4240 |
| No log | 3.7944 | 406 | 0.2109 | 0.0506 | 0.2109 | 0.4592 |
| No log | 3.8131 | 408 | 0.2562 | 0.0260 | 0.2562 | 0.5062 |
| No log | 3.8318 | 410 | 0.2580 | 0.0260 | 0.2580 | 0.5079 |
| No log | 3.8505 | 412 | 0.2227 | 0.0166 | 0.2227 | 0.4720 |
| No log | 3.8692 | 414 | 0.1784 | 0.0230 | 0.1784 | 0.4224 |
| No log | 3.8879 | 416 | 0.1665 | 0.1663 | 0.1665 | 0.4080 |
| No log | 3.9065 | 418 | 0.1790 | 0.1395 | 0.1790 | 0.4231 |
| No log | 3.9252 | 420 | 0.1885 | 0.1401 | 0.1885 | 0.4341 |
| No log | 3.9439 | 422 | 0.1718 | 0.1562 | 0.1718 | 0.4145 |
| No log | 3.9626 | 424 | 0.1615 | 0.1190 | 0.1615 | 0.4019 |
| No log | 3.9813 | 426 | 0.1620 | 0.0897 | 0.1620 | 0.4025 |
| No log | 4.0 | 428 | 0.1623 | 0.0897 | 0.1623 | 0.4029 |
| No log | 4.0187 | 430 | 0.1679 | 0.0776 | 0.1679 | 0.4097 |
| No log | 4.0374 | 432 | 0.1876 | 0.0412 | 0.1876 | 0.4331 |
| No log | 4.0561 | 434 | 0.2019 | 0.0412 | 0.2019 | 0.4493 |
| No log | 4.0748 | 436 | 0.1855 | 0.0412 | 0.1855 | 0.4307 |
| No log | 4.0935 | 438 | 0.1667 | 0.0320 | 0.1667 | 0.4083 |
| No log | 4.1121 | 440 | 0.1577 | 0.0685 | 0.1577 | 0.3971 |
| No log | 4.1308 | 442 | 0.1613 | 0.1747 | 0.1613 | 0.4017 |
| No log | 4.1495 | 444 | 0.1620 | 0.1655 | 0.1620 | 0.4025 |
| No log | 4.1682 | 446 | 0.1694 | 0.1556 | 0.1694 | 0.4115 |
| No log | 4.1869 | 448 | 0.1728 | 0.1326 | 0.1728 | 0.4156 |
| No log | 4.2056 | 450 | 0.1750 | 0.1478 | 0.1750 | 0.4183 |
| No log | 4.2243 | 452 | 0.1801 | 0.1559 | 0.1801 | 0.4244 |
| No log | 4.2430 | 454 | 0.2005 | 0.1478 | 0.2005 | 0.4478 |
| No log | 4.2617 | 456 | 0.2331 | 0.1478 | 0.2331 | 0.4828 |
| No log | 4.2804 | 458 | 0.2021 | 0.1956 | 0.2021 | 0.4495 |
| No log | 4.2991 | 460 | 0.1615 | 0.2174 | 0.1615 | 0.4019 |
| No log | 4.3178 | 462 | 0.1672 | 0.1980 | 0.1672 | 0.4090 |
| No log | 4.3364 | 464 | 0.1705 | 0.1549 | 0.1705 | 0.4129 |
| No log | 4.3551 | 466 | 0.1621 | 0.0626 | 0.1621 | 0.4027 |
| No log | 4.3738 | 468 | 0.1675 | 0.1177 | 0.1675 | 0.4093 |
| No log | 4.3925 | 470 | 0.1992 | 0.0506 | 0.1992 | 0.4463 |
| No log | 4.4112 | 472 | 0.1861 | 0.0412 | 0.1861 | 0.4314 |
| No log | 4.4299 | 474 | 0.1651 | 0.0869 | 0.1651 | 0.4063 |
| No log | 4.4486 | 476 | 0.1855 | 0.1900 | 0.1855 | 0.4307 |
| No log | 4.4673 | 478 | 0.2140 | 0.2003 | 0.2140 | 0.4626 |
| No log | 4.4860 | 480 | 0.1769 | 0.1478 | 0.1769 | 0.4206 |
| No log | 4.5047 | 482 | 0.1640 | 0.1380 | 0.1640 | 0.4049 |
| No log | 4.5234 | 484 | 0.1707 | 0.0646 | 0.1707 | 0.4132 |
| No log | 4.5421 | 486 | 0.1595 | 0.0776 | 0.1595 | 0.3993 |
| No log | 4.5607 | 488 | 0.1499 | 0.1573 | 0.1499 | 0.3871 |
| No log | 4.5794 | 490 | 0.1545 | 0.0685 | 0.1545 | 0.3931 |
| No log | 4.5981 | 492 | 0.1638 | 0.0776 | 0.1638 | 0.4047 |
| No log | 4.6168 | 494 | 0.1853 | 0.0869 | 0.1853 | 0.4305 |
| No log | 4.6355 | 496 | 0.1796 | 0.1478 | 0.1796 | 0.4238 |
| No log | 4.6542 | 498 | 0.1632 | 0.1384 | 0.1632 | 0.4039 |
| 0.2226 | 4.6729 | 500 | 0.1869 | 0.1648 | 0.1869 | 0.4323 |
| 0.2226 | 4.6916 | 502 | 0.2291 | 0.1758 | 0.2291 | 0.4787 |
| 0.2226 | 4.7103 | 504 | 0.2159 | 0.2112 | 0.2159 | 0.4647 |
| 0.2226 | 4.7290 | 506 | 0.1791 | 0.1989 | 0.1791 | 0.4232 |
| 0.2226 | 4.7477 | 508 | 0.1621 | 0.1388 | 0.1621 | 0.4026 |
| 0.2226 | 4.7664 | 510 | 0.1823 | 0.1655 | 0.1823 | 0.4270 |
| 0.2226 | 4.7850 | 512 | 0.1929 | 0.1736 | 0.1929 | 0.4392 |
| 0.2226 | 4.8037 | 514 | 0.1837 | 0.2146 | 0.1837 | 0.4286 |
| 0.2226 | 4.8224 | 516 | 0.1763 | 0.1900 | 0.1763 | 0.4199 |
| 0.2226 | 4.8411 | 518 | 0.1808 | 0.1081 | 0.1808 | 0.4252 |
| 0.2226 | 4.8598 | 520 | 0.1829 | 0.0646 | 0.1829 | 0.4277 |
| 0.2226 | 4.8785 | 522 | 0.1571 | 0.0646 | 0.1571 | 0.3963 |
| 0.2226 | 4.8972 | 524 | 0.1556 | 0.1275 | 0.1556 | 0.3944 |
| 0.2226 | 4.9159 | 526 | 0.1582 | 0.1375 | 0.1582 | 0.3977 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask4_relevance
Base model
aubmindlab/bert-base-arabertv02