ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_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: 1.1686
  • Qwk: 0.1807
  • Mse: 1.1686
  • Rmse: 1.0810

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 0.4 2 4.6449 0.0010 4.6449 2.1552
No log 0.8 4 2.7202 0.0193 2.7202 1.6493
No log 1.2 6 2.1133 -0.0173 2.1133 1.4537
No log 1.6 8 1.7774 -0.0134 1.7774 1.3332
No log 2.0 10 1.3637 0.0020 1.3637 1.1678
No log 2.4 12 1.3070 0.0682 1.3070 1.1432
No log 2.8 14 1.2609 0.1271 1.2609 1.1229
No log 3.2 16 1.2413 0.0945 1.2413 1.1141
No log 3.6 18 1.2178 0.1407 1.2178 1.1036
No log 4.0 20 1.2040 0.2111 1.2040 1.0973
No log 4.4 22 1.2187 0.2223 1.2187 1.1040
No log 4.8 24 1.2107 0.1911 1.2107 1.1003
No log 5.2 26 1.2018 0.1927 1.2018 1.0962
No log 5.6 28 1.1962 0.2223 1.1962 1.0937
No log 6.0 30 1.2182 0.0977 1.2182 1.1037
No log 6.4 32 1.1684 0.1814 1.1684 1.0809
No log 6.8 34 1.1625 0.0914 1.1625 1.0782
No log 7.2 36 1.2162 0.0611 1.2162 1.1028
No log 7.6 38 1.1901 0.2043 1.1901 1.0909
No log 8.0 40 1.4759 0.1801 1.4759 1.2148
No log 8.4 42 1.5930 0.0782 1.5930 1.2621
No log 8.8 44 1.3398 0.1463 1.3398 1.1575
No log 9.2 46 1.1816 0.1302 1.1816 1.0870
No log 9.6 48 1.2275 0.2199 1.2275 1.1079
No log 10.0 50 1.2188 0.2242 1.2188 1.1040
No log 10.4 52 1.2722 0.2132 1.2722 1.1279
No log 10.8 54 1.4347 0.2028 1.4347 1.1978
No log 11.2 56 1.3758 0.2665 1.3758 1.1729
No log 11.6 58 1.2202 0.0751 1.2202 1.1046
No log 12.0 60 1.1425 0.1767 1.1425 1.0689
No log 12.4 62 1.1731 0.0653 1.1731 1.0831
No log 12.8 64 1.1640 0.0818 1.1640 1.0789
No log 13.2 66 1.1802 0.0751 1.1802 1.0864
No log 13.6 68 1.3618 0.2132 1.3618 1.1669
No log 14.0 70 1.5576 0.1854 1.5576 1.2480
No log 14.4 72 1.5231 0.1854 1.5231 1.2341
No log 14.8 74 1.2823 0.2590 1.2823 1.1324
No log 15.2 76 1.1036 0.2327 1.1036 1.0505
No log 15.6 78 1.0749 0.3263 1.0749 1.0368
No log 16.0 80 1.0900 0.2327 1.0900 1.0440
No log 16.4 82 1.2153 0.2870 1.2153 1.1024
No log 16.8 84 1.3134 0.3658 1.3134 1.1460
No log 17.2 86 1.2147 0.2738 1.2147 1.1021
No log 17.6 88 1.0518 0.1820 1.0518 1.0256
No log 18.0 90 1.0286 0.3142 1.0286 1.0142
No log 18.4 92 1.0386 0.3142 1.0386 1.0191
No log 18.8 94 1.0496 0.2132 1.0496 1.0245
No log 19.2 96 1.0811 0.1662 1.0811 1.0398
No log 19.6 98 1.1546 0.1667 1.1546 1.0745
No log 20.0 100 1.1492 0.1813 1.1492 1.0720
No log 20.4 102 1.1561 0.1371 1.1561 1.0752
No log 20.8 104 1.0970 0.1662 1.0970 1.0474
No log 21.2 106 1.0904 0.2132 1.0904 1.0442
No log 21.6 108 1.1247 0.2260 1.1247 1.0605
No log 22.0 110 1.2023 0.1906 1.2023 1.0965
No log 22.4 112 1.2269 0.1995 1.2269 1.1076
No log 22.8 114 1.1931 0.1906 1.1931 1.0923
No log 23.2 116 1.1128 0.1562 1.1128 1.0549
No log 23.6 118 1.1049 0.1662 1.1049 1.0511
No log 24.0 120 1.1401 0.1344 1.1401 1.0678
No log 24.4 122 1.1997 0.1997 1.1997 1.0953
No log 24.8 124 1.1751 0.1959 1.1751 1.0840
No log 25.2 126 1.1522 0.2409 1.1522 1.0734
No log 25.6 128 1.1487 0.2850 1.1487 1.0718
No log 26.0 130 1.1743 0.2515 1.1743 1.0837
No log 26.4 132 1.2065 0.2003 1.2065 1.0984
No log 26.8 134 1.2180 0.1997 1.2180 1.1036
No log 27.2 136 1.2659 0.2032 1.2659 1.1251
No log 27.6 138 1.2173 0.2184 1.2173 1.1033
No log 28.0 140 1.1622 0.2481 1.1622 1.0780
No log 28.4 142 1.1365 0.2557 1.1365 1.0661
No log 28.8 144 1.1211 0.2121 1.1211 1.0588
No log 29.2 146 1.1176 0.2069 1.1176 1.0572
No log 29.6 148 1.1299 0.2300 1.1299 1.0630
No log 30.0 150 1.1138 0.2481 1.1138 1.0554
No log 30.4 152 1.0882 0.2947 1.0882 1.0432
No log 30.8 154 1.0867 0.2735 1.0867 1.0425
No log 31.2 156 1.1036 0.3065 1.1036 1.0505
No log 31.6 158 1.1709 0.2259 1.1709 1.0821
No log 32.0 160 1.2111 0.2518 1.2111 1.1005
No log 32.4 162 1.2454 0.2503 1.2454 1.1160
No log 32.8 164 1.1677 0.1951 1.1677 1.0806
No log 33.2 166 1.0973 0.1867 1.0973 1.0475
No log 33.6 168 1.0717 0.2735 1.0717 1.0352
No log 34.0 170 1.0787 0.2995 1.0787 1.0386
No log 34.4 172 1.0883 0.3380 1.0883 1.0432
No log 34.8 174 1.1227 0.2683 1.1227 1.0596
No log 35.2 176 1.1531 0.2609 1.1531 1.0738
No log 35.6 178 1.2157 0.2525 1.2157 1.1026
No log 36.0 180 1.2611 0.2549 1.2611 1.1230
No log 36.4 182 1.2430 0.1850 1.2430 1.1149
No log 36.8 184 1.1803 0.2236 1.1803 1.0864
No log 37.2 186 1.1251 0.1764 1.1251 1.0607
No log 37.6 188 1.1165 0.1722 1.1165 1.0567
No log 38.0 190 1.1020 0.2258 1.1020 1.0498
No log 38.4 192 1.1105 0.2530 1.1105 1.0538
No log 38.8 194 1.1364 0.2144 1.1364 1.0660
No log 39.2 196 1.1563 0.2144 1.1563 1.0753
No log 39.6 198 1.2034 0.2223 1.2034 1.0970
No log 40.0 200 1.1973 0.2326 1.1973 1.0942
No log 40.4 202 1.1706 0.1912 1.1706 1.0820
No log 40.8 204 1.1487 0.2113 1.1487 1.0718
No log 41.2 206 1.1430 0.1732 1.1430 1.0691
No log 41.6 208 1.1447 0.1727 1.1447 1.0699
No log 42.0 210 1.1535 0.1671 1.1535 1.0740
No log 42.4 212 1.1397 0.1920 1.1397 1.0676
No log 42.8 214 1.1243 0.2024 1.1243 1.0603
No log 43.2 216 1.1104 0.2176 1.1104 1.0538
No log 43.6 218 1.1442 0.2389 1.1442 1.0697
No log 44.0 220 1.1887 0.2086 1.1887 1.0903
No log 44.4 222 1.2607 0.2077 1.2607 1.1228
No log 44.8 224 1.2942 0.2250 1.2942 1.1376
No log 45.2 226 1.2515 0.1766 1.2515 1.1187
No log 45.6 228 1.2466 0.1717 1.2466 1.1165
No log 46.0 230 1.2662 0.1850 1.2662 1.1252
No log 46.4 232 1.2625 0.1850 1.2625 1.1236
No log 46.8 234 1.2295 0.1667 1.2295 1.1088
No log 47.2 236 1.1807 0.1576 1.1807 1.0866
No log 47.6 238 1.1908 0.1576 1.1908 1.0912
No log 48.0 240 1.2536 0.1628 1.2536 1.1196
No log 48.4 242 1.3771 0.1894 1.3771 1.1735
No log 48.8 244 1.4484 0.2633 1.4484 1.2035
No log 49.2 246 1.4170 0.2555 1.4170 1.1904
No log 49.6 248 1.2795 0.2117 1.2795 1.1311
No log 50.0 250 1.1612 0.1864 1.1612 1.0776
No log 50.4 252 1.1224 0.1717 1.1224 1.0594
No log 50.8 254 1.1385 0.1717 1.1385 1.0670
No log 51.2 256 1.1936 0.1502 1.1936 1.0925
No log 51.6 258 1.2552 0.1801 1.2552 1.1204
No log 52.0 260 1.2737 0.1850 1.2737 1.1286
No log 52.4 262 1.2877 0.1943 1.2877 1.1348
No log 52.8 264 1.2715 0.1896 1.2715 1.1276
No log 53.2 266 1.2331 0.2000 1.2331 1.1104
No log 53.6 268 1.1781 0.1502 1.1781 1.0854
No log 54.0 270 1.1442 0.1562 1.1442 1.0697
No log 54.4 272 1.1316 0.2176 1.1316 1.0638
No log 54.8 274 1.1399 0.1621 1.1399 1.0677
No log 55.2 276 1.1592 0.1562 1.1592 1.0767
No log 55.6 278 1.2080 0.1995 1.2080 1.0991
No log 56.0 280 1.2485 0.2084 1.2485 1.1174
No log 56.4 282 1.2524 0.2173 1.2524 1.1191
No log 56.8 284 1.2351 0.2084 1.2351 1.1114
No log 57.2 286 1.2141 0.1995 1.2141 1.1019
No log 57.6 288 1.1786 0.1906 1.1786 1.0856
No log 58.0 290 1.1637 0.2235 1.1637 1.0787
No log 58.4 292 1.1563 0.1864 1.1563 1.0753
No log 58.8 294 1.1626 0.2154 1.1626 1.0782
No log 59.2 296 1.1680 0.2195 1.1680 1.0808
No log 59.6 298 1.1950 0.2235 1.1950 1.0932
No log 60.0 300 1.2406 0.2134 1.2406 1.1138
No log 60.4 302 1.3033 0.2237 1.3033 1.1416
No log 60.8 304 1.3164 0.2481 1.3164 1.1473
No log 61.2 306 1.2813 0.2117 1.2813 1.1320
No log 61.6 308 1.2333 0.2326 1.2334 1.1106
No log 62.0 310 1.2257 0.2326 1.2257 1.1071
No log 62.4 312 1.2188 0.2006 1.2188 1.1040
No log 62.8 314 1.2265 0.2326 1.2265 1.1075
No log 63.2 316 1.2379 0.2326 1.2379 1.1126
No log 63.6 318 1.2287 0.2235 1.2287 1.1085
No log 64.0 320 1.2129 0.2235 1.2129 1.1013
No log 64.4 322 1.2119 0.2154 1.2119 1.1009
No log 64.8 324 1.2353 0.2288 1.2353 1.1114
No log 65.2 326 1.2683 0.2236 1.2683 1.1262
No log 65.6 328 1.2692 0.2041 1.2692 1.1266
No log 66.0 330 1.2486 0.1614 1.2486 1.1174
No log 66.4 332 1.2256 0.1959 1.2256 1.1071
No log 66.8 334 1.2261 0.1671 1.2261 1.1073
No log 67.2 336 1.2399 0.1576 1.2399 1.1135
No log 67.6 338 1.2345 0.1628 1.2345 1.1111
No log 68.0 340 1.2356 0.1628 1.2356 1.1116
No log 68.4 342 1.2201 0.1771 1.2201 1.1046
No log 68.8 344 1.1863 0.1912 1.1863 1.0892
No log 69.2 346 1.1734 0.1912 1.1734 1.0832
No log 69.6 348 1.1693 0.2060 1.1693 1.0813
No log 70.0 350 1.1862 0.1576 1.1862 1.0891
No log 70.4 352 1.1848 0.1905 1.1848 1.0885
No log 70.8 354 1.1784 0.2050 1.1784 1.0856
No log 71.2 356 1.1654 0.2248 1.1654 1.0795
No log 71.6 358 1.1563 0.2154 1.1563 1.0753
No log 72.0 360 1.1601 0.2154 1.1601 1.0771
No log 72.4 362 1.1626 0.1912 1.1626 1.0783
No log 72.8 364 1.1564 0.2060 1.1564 1.0754
No log 73.2 366 1.1590 0.2060 1.1590 1.0766
No log 73.6 368 1.1603 0.1912 1.1603 1.0772
No log 74.0 370 1.1628 0.1912 1.1628 1.0783
No log 74.4 372 1.1650 0.1912 1.1650 1.0794
No log 74.8 374 1.1827 0.1813 1.1827 1.0875
No log 75.2 376 1.2107 0.1667 1.2107 1.1003
No log 75.6 378 1.2402 0.1758 1.2402 1.1136
No log 76.0 380 1.2479 0.1758 1.2479 1.1171
No log 76.4 382 1.2387 0.1758 1.2387 1.1129
No log 76.8 384 1.2231 0.1758 1.2231 1.1059
No log 77.2 386 1.2168 0.1758 1.2168 1.1031
No log 77.6 388 1.2232 0.1807 1.2232 1.1060
No log 78.0 390 1.2227 0.1758 1.2227 1.1057
No log 78.4 392 1.2111 0.1951 1.2111 1.1005
No log 78.8 394 1.2040 0.1857 1.2040 1.0973
No log 79.2 396 1.1988 0.1857 1.1988 1.0949
No log 79.6 398 1.1825 0.1959 1.1825 1.0874
No log 80.0 400 1.1597 0.1959 1.1597 1.0769
No log 80.4 402 1.1444 0.1658 1.1444 1.0698
No log 80.8 404 1.1328 0.1562 1.1328 1.0643
No log 81.2 406 1.1276 0.1717 1.1276 1.0619
No log 81.6 408 1.1225 0.1871 1.1225 1.0595
No log 82.0 410 1.1232 0.1968 1.1232 1.0598
No log 82.4 412 1.1270 0.1968 1.1270 1.0616
No log 82.8 414 1.1310 0.1658 1.1310 1.0635
No log 83.2 416 1.1417 0.2006 1.1417 1.0685
No log 83.6 418 1.1599 0.2288 1.1599 1.0770
No log 84.0 420 1.1863 0.2174 1.1863 1.0892
No log 84.4 422 1.2050 0.1857 1.2050 1.0977
No log 84.8 424 1.2098 0.2033 1.2098 1.0999
No log 85.2 426 1.2007 0.2033 1.2007 1.0958
No log 85.6 428 1.1809 0.2086 1.1809 1.0867
No log 86.0 430 1.1546 0.2375 1.1546 1.0745
No log 86.4 432 1.1409 0.2481 1.1409 1.0681
No log 86.8 434 1.1350 0.2481 1.1350 1.0654
No log 87.2 436 1.1314 0.2481 1.1314 1.0637
No log 87.6 438 1.1291 0.2446 1.1291 1.0626
No log 88.0 440 1.1356 0.2481 1.1356 1.0657
No log 88.4 442 1.1427 0.2339 1.1427 1.0690
No log 88.8 444 1.1446 0.1958 1.1446 1.0698
No log 89.2 446 1.1495 0.1958 1.1495 1.0722
No log 89.6 448 1.1533 0.1958 1.1533 1.0739
No log 90.0 450 1.1582 0.2050 1.1582 1.0762
No log 90.4 452 1.1607 0.2006 1.1607 1.0773
No log 90.8 454 1.1669 0.2006 1.1669 1.0802
No log 91.2 456 1.1729 0.2288 1.1729 1.0830
No log 91.6 458 1.1740 0.2143 1.1740 1.0835
No log 92.0 460 1.1741 0.2143 1.1741 1.0836
No log 92.4 462 1.1727 0.2100 1.1727 1.0829
No log 92.8 464 1.1725 0.2195 1.1725 1.0828
No log 93.2 466 1.1768 0.1903 1.1768 1.0848
No log 93.6 468 1.1839 0.1903 1.1839 1.0881
No log 94.0 470 1.1912 0.2195 1.1912 1.0914
No log 94.4 472 1.1926 0.2195 1.1926 1.0921
No log 94.8 474 1.1951 0.2195 1.1951 1.0932
No log 95.2 476 1.1963 0.2195 1.1963 1.0937
No log 95.6 478 1.1965 0.2195 1.1965 1.0938
No log 96.0 480 1.1946 0.2195 1.1946 1.0930
No log 96.4 482 1.1922 0.2195 1.1922 1.0919
No log 96.8 484 1.1893 0.2195 1.1893 1.0905
No log 97.2 486 1.1851 0.2195 1.1851 1.0886
No log 97.6 488 1.1809 0.2195 1.1809 1.0867
No log 98.0 490 1.1766 0.1903 1.1766 1.0847
No log 98.4 492 1.1728 0.1807 1.1728 1.0829
No log 98.8 494 1.1706 0.1807 1.1706 1.0819
No log 99.2 496 1.1695 0.1807 1.1695 1.0814
No log 99.6 498 1.1689 0.1807 1.1689 1.0812
0.2059 100.0 500 1.1686 0.1807 1.1686 1.0810

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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