ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_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: 1.2878
  • Qwk: 0.1344
  • Mse: 1.2878
  • Rmse: 1.1348

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 1.4218 -0.0029 1.4218 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 1.7048 -0.0839 1.7048 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 1.3276 0.1260 1.3276 1.1522
No log 2.0526 78 1.5823 -0.0534 1.5823 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 1.4834 -0.0132 1.4834 1.2180
No log 2.2632 86 1.2676 0.0948 1.2676 1.1259
No log 2.3158 88 1.2160 0.0904 1.2160 1.1027
No log 2.3684 90 1.2481 0.0454 1.2481 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 1.2460 0.1076 1.2460 1.1162
No log 2.5789 98 1.2373 0.0841 1.2373 1.1123
No log 2.6316 100 1.2349 0.0841 1.2349 1.1113
No log 2.6842 102 1.2377 0.1532 1.2377 1.1125
No log 2.7368 104 1.3394 0.1200 1.3394 1.1573
No log 2.7895 106 1.3919 0.0831 1.3919 1.1798
No log 2.8421 108 1.2509 0.1675 1.2509 1.1184
No log 2.8947 110 1.2393 0.0527 1.2393 1.1132
No log 2.9474 112 1.3409 0.0811 1.3409 1.1580
No log 3.0 114 1.2920 0.0711 1.2920 1.1367
No log 3.0526 116 1.2243 0.1727 1.2243 1.1065
No log 3.1053 118 1.3377 0.1696 1.3377 1.1566
No log 3.1579 120 1.5733 -0.0412 1.5733 1.2543
No log 3.2105 122 1.4278 0.0319 1.4278 1.1949
No log 3.2632 124 1.2147 0.2618 1.2147 1.1022
No log 3.3158 126 1.1645 0.2371 1.1645 1.0791
No log 3.3684 128 1.2087 0.1764 1.2087 1.0994
No log 3.4211 130 1.1806 0.1920 1.1806 1.0866
No log 3.4737 132 1.1916 0.1897 1.1916 1.0916
No log 3.5263 134 1.2295 0.2991 1.2295 1.1088
No log 3.5789 136 1.2118 0.1475 1.2118 1.1008
No log 3.6316 138 1.3350 0.1984 1.3350 1.1554
No log 3.6842 140 1.5184 0.1845 1.5184 1.2322
No log 3.7368 142 1.4236 0.2295 1.4236 1.1932
No log 3.7895 144 1.2843 0.1864 1.2843 1.1333
No log 3.8421 146 1.2620 0.1693 1.2620 1.1234
No log 3.8947 148 1.3583 0.1722 1.3583 1.1655
No log 3.9474 150 1.4027 0.2069 1.4027 1.1844
No log 4.0 152 1.4973 0.2009 1.4973 1.2237
No log 4.0526 154 1.4177 0.1618 1.4177 1.1907
No log 4.1053 156 1.3125 0.2032 1.3125 1.1457
No log 4.1579 158 1.1714 0.2431 1.1714 1.0823
No log 4.2105 160 1.1122 0.2556 1.1122 1.0546
No log 4.2632 162 1.1199 0.2556 1.1199 1.0583
No log 4.3158 164 1.1325 0.2355 1.1325 1.0642
No log 4.3684 166 1.1840 0.3405 1.1840 1.0881
No log 4.4211 168 1.2684 0.2634 1.2684 1.1262
No log 4.4737 170 1.2633 0.2909 1.2633 1.1240
No log 4.5263 172 1.2107 0.2268 1.2107 1.1003
No log 4.5789 174 1.2742 0.1928 1.2742 1.1288
No log 4.6316 176 1.2353 0.1568 1.2353 1.1114
No log 4.6842 178 1.3041 0.2259 1.3041 1.1420
No log 4.7368 180 1.3994 0.2387 1.3994 1.1830
No log 4.7895 182 1.3127 0.2391 1.3127 1.1457
No log 4.8421 184 1.2910 0.2076 1.2910 1.1362
No log 4.8947 186 1.2961 0.1921 1.2961 1.1385
No log 4.9474 188 1.4356 0.1801 1.4356 1.1982
No log 5.0 190 1.4874 0.1801 1.4874 1.2196
No log 5.0526 192 1.3882 0.1188 1.3882 1.1782
No log 5.1053 194 1.2848 0.1431 1.2848 1.1335
No log 5.1579 196 1.3075 0.0150 1.3075 1.1434
No log 5.2105 198 1.3281 0.1431 1.3281 1.1524
No log 5.2632 200 1.4146 0.1713 1.4146 1.1894
No log 5.3158 202 1.4242 0.1224 1.4242 1.1934
No log 5.3684 204 1.3784 0.0876 1.3784 1.1740
No log 5.4211 206 1.4641 0.0896 1.4641 1.2100
No log 5.4737 208 1.4035 0.0896 1.4035 1.1847
No log 5.5263 210 1.2902 0.1067 1.2902 1.1359
No log 5.5789 212 1.3708 0.1427 1.3708 1.1708
No log 5.6316 214 1.3427 0.1094 1.3427 1.1588
No log 5.6842 216 1.2716 0.1156 1.2716 1.1276
No log 5.7368 218 1.1999 0.1983 1.1999 1.0954
No log 5.7895 220 1.1967 0.1642 1.1967 1.0939
No log 5.8421 222 1.2428 0.1864 1.2428 1.1148
No log 5.8947 224 1.4396 0.0818 1.4396 1.1998
No log 5.9474 226 1.4913 0.0884 1.4913 1.2212
No log 6.0 228 1.3560 0.0937 1.3560 1.1645
No log 6.0526 230 1.2193 0.1701 1.2193 1.1042
No log 6.1053 232 1.1846 0.2276 1.1846 1.0884
No log 6.1579 234 1.2162 0.1807 1.2162 1.1028
No log 6.2105 236 1.3450 0.1371 1.3450 1.1597
No log 6.2632 238 1.4875 0.1929 1.4875 1.2196
No log 6.3158 240 1.4105 0.1395 1.4105 1.1876
No log 6.3684 242 1.2190 0.1867 1.2190 1.1041
No log 6.4211 244 1.2049 0.2871 1.2049 1.0977
No log 6.4737 246 1.2179 0.2253 1.2179 1.1036
No log 6.5263 248 1.2272 0.2273 1.2272 1.1078
No log 6.5789 250 1.3634 0.1193 1.3634 1.1676
No log 6.6316 252 1.3636 0.1339 1.3636 1.1677
No log 6.6842 254 1.4443 0.1171 1.4443 1.2018
No log 6.7368 256 1.4564 0.1112 1.4564 1.2068
No log 6.7895 258 1.3571 0.1483 1.3571 1.1649
No log 6.8421 260 1.3777 0.0964 1.3777 1.1738
No log 6.8947 262 1.3600 0.1339 1.3600 1.1662
No log 6.9474 264 1.2929 0.2878 1.2929 1.1371
No log 7.0 266 1.3432 0.1854 1.3432 1.1590
No log 7.0526 268 1.5250 0.0971 1.5250 1.2349
No log 7.1053 270 1.6469 0.1095 1.6469 1.2833
No log 7.1579 272 1.5535 0.0992 1.5535 1.2464
No log 7.2105 274 1.3751 0.1395 1.3751 1.1726
No log 7.2632 276 1.3117 0.2275 1.3117 1.1453
No log 7.3158 278 1.2984 0.2651 1.2984 1.1395
No log 7.3684 280 1.3847 0.1404 1.3847 1.1768
No log 7.4211 282 1.4757 0.0884 1.4757 1.2148
No log 7.4737 284 1.6141 0.1806 1.6141 1.2705
No log 7.5263 286 1.5803 0.1997 1.5803 1.2571
No log 7.5789 288 1.3230 0.2333 1.3230 1.1502
No log 7.6316 290 1.1627 0.3231 1.1627 1.0783
No log 7.6842 292 1.1575 0.3117 1.1575 1.0759
No log 7.7368 294 1.2139 0.2878 1.2139 1.1018
No log 7.7895 296 1.3708 0.1461 1.3708 1.1708
No log 7.8421 298 1.3773 0.1162 1.3773 1.1736
No log 7.8947 300 1.2926 0.2348 1.2926 1.1369
No log 7.9474 302 1.2458 0.2108 1.2458 1.1162
No log 8.0 304 1.2482 0.2651 1.2482 1.1172
No log 8.0526 306 1.2364 0.2263 1.2364 1.1119
No log 8.1053 308 1.2350 0.1961 1.2350 1.1113
No log 8.1579 310 1.3132 0.2291 1.3132 1.1460
No log 8.2105 312 1.3800 0.1753 1.3800 1.1747
No log 8.2632 314 1.4588 0.1310 1.4588 1.2078
No log 8.3158 316 1.4158 0.1708 1.4158 1.1899
No log 8.3684 318 1.3080 0.2097 1.3080 1.1437
No log 8.4211 320 1.2268 0.2336 1.2268 1.1076
No log 8.4737 322 1.2203 0.2392 1.2203 1.1047
No log 8.5263 324 1.2226 0.2432 1.2226 1.1057
No log 8.5789 326 1.2813 0.1650 1.2813 1.1320
No log 8.6316 328 1.3621 0.1498 1.3621 1.1671
No log 8.6842 330 1.4381 0.1228 1.4381 1.1992
No log 8.7368 332 1.3583 0.1222 1.3583 1.1655
No log 8.7895 334 1.2515 0.2490 1.2515 1.1187
No log 8.8421 336 1.2613 0.2878 1.2613 1.1231
No log 8.8947 338 1.3236 0.1309 1.3236 1.1505
No log 8.9474 340 1.4972 0.1970 1.4972 1.2236
No log 9.0 342 1.5214 0.1970 1.5214 1.2334
No log 9.0526 344 1.3778 0.1461 1.3778 1.1738
No log 9.1053 346 1.2449 0.2263 1.2449 1.1157
No log 9.1579 348 1.1967 0.1808 1.1967 1.0939
No log 9.2105 350 1.2038 0.1808 1.2038 1.0972
No log 9.2632 352 1.2910 0.0937 1.2910 1.1362
No log 9.3158 354 1.4821 0.0884 1.4821 1.2174
No log 9.3684 356 1.5428 0.1758 1.5428 1.2421
No log 9.4211 358 1.5391 0.1498 1.5391 1.2406
No log 9.4737 360 1.3966 0.0884 1.3966 1.1818
No log 9.5263 362 1.2479 0.1864 1.2479 1.1171
No log 9.5789 364 1.2314 0.2317 1.2314 1.1097
No log 9.6316 366 1.2805 0.1131 1.2805 1.1316
No log 9.6842 368 1.3069 0.1131 1.3069 1.1432
No log 9.7368 370 1.3311 0.1448 1.3311 1.1537
No log 9.7895 372 1.3886 0.1171 1.3886 1.1784
No log 9.8421 374 1.3541 0.1448 1.3541 1.1636
No log 9.8947 376 1.2748 0.2037 1.2748 1.1291
No log 9.9474 378 1.3402 0.1112 1.3402 1.1577
No log 10.0 380 1.3425 0.1254 1.3425 1.1587
No log 10.0526 382 1.2661 0.1943 1.2661 1.1252
No log 10.1053 384 1.1729 0.2263 1.1729 1.0830
No log 10.1579 386 1.1951 0.1952 1.1951 1.0932
No log 10.2105 388 1.2418 0.1896 1.2418 1.1143
No log 10.2632 390 1.2731 0.1554 1.2731 1.1283
No log 10.3158 392 1.2097 0.1654 1.2097 1.0999
No log 10.3684 394 1.1864 0.2417 1.1864 1.0892
No log 10.4211 396 1.2240 0.1951 1.2240 1.1063
No log 10.4737 398 1.3633 0.1481 1.3633 1.1676
No log 10.5263 400 1.5385 0.2009 1.5385 1.2404
No log 10.5789 402 1.5010 0.1929 1.5010 1.2252
No log 10.6316 404 1.3244 0.1345 1.3244 1.1508
No log 10.6842 406 1.1713 0.2119 1.1713 1.0823
No log 10.7368 408 1.1396 0.2513 1.1396 1.0675
No log 10.7895 410 1.1487 0.2130 1.1487 1.0718
No log 10.8421 412 1.2051 0.2009 1.2051 1.0978
No log 10.8947 414 1.3904 0.1071 1.3904 1.1792
No log 10.9474 416 1.4940 0.1112 1.4940 1.2223
No log 11.0 418 1.5617 0.1283 1.5617 1.2497
No log 11.0526 420 1.5371 0.1698 1.5371 1.2398
No log 11.1053 422 1.4038 0.1219 1.4038 1.1848
No log 11.1579 424 1.2574 0.1053 1.2574 1.1213
No log 11.2105 426 1.1677 0.1752 1.1677 1.0806
No log 11.2632 428 1.1641 0.1979 1.1641 1.0789
No log 11.3158 430 1.1910 0.1808 1.1910 1.0913
No log 11.3684 432 1.2827 0.1538 1.2827 1.1325
No log 11.4211 434 1.4013 0.1071 1.4013 1.1838
No log 11.4737 436 1.4403 0.0964 1.4403 1.2001
No log 11.5263 438 1.3963 0.1222 1.3963 1.1816
No log 11.5789 440 1.3204 0.1538 1.3204 1.1491
No log 11.6316 442 1.2774 0.1114 1.2774 1.1302
No log 11.6842 444 1.3037 0.1379 1.3037 1.1418
No log 11.7368 446 1.3340 0.1696 1.3340 1.1550
No log 11.7895 448 1.4040 0.0818 1.4040 1.1849
No log 11.8421 450 1.4372 0.0884 1.4372 1.1988
No log 11.8947 452 1.3749 0.0964 1.3749 1.1726
No log 11.9474 454 1.2980 0.1857 1.2980 1.1393
No log 12.0 456 1.2546 0.1624 1.2546 1.1201
No log 12.0526 458 1.2529 0.2033 1.2529 1.1193
No log 12.1053 460 1.2713 0.1371 1.2713 1.1275
No log 12.1579 462 1.3215 0.1766 1.3215 1.1495
No log 12.2105 464 1.3840 0.1310 1.3840 1.1764
No log 12.2632 466 1.4200 0.1171 1.4200 1.1916
No log 12.3158 468 1.3920 0.0884 1.3920 1.1798
No log 12.3684 470 1.3653 0.0884 1.3653 1.1685
No log 12.4211 472 1.2969 0.2381 1.2969 1.1388
No log 12.4737 474 1.2780 0.2829 1.2780 1.1305
No log 12.5263 476 1.3076 0.2683 1.3076 1.1435
No log 12.5789 478 1.3684 0.0964 1.3684 1.1698
No log 12.6316 480 1.4542 0.0884 1.4542 1.2059
No log 12.6842 482 1.4727 0.1310 1.4727 1.2136
No log 12.7368 484 1.4375 0.1027 1.4375 1.1990
No log 12.7895 486 1.4719 0.1310 1.4719 1.2132
No log 12.8421 488 1.5346 0.1639 1.5346 1.2388
No log 12.8947 490 1.5686 0.1232 1.5686 1.2524
No log 12.9474 492 1.4762 0.1171 1.4762 1.2150
No log 13.0 494 1.3461 0.1943 1.3461 1.1602
No log 13.0526 496 1.3167 0.1713 1.3167 1.1475
No log 13.1053 498 1.3140 0.1535 1.3140 1.1463
0.4162 13.1579 500 1.2896 0.1674 1.2896 1.1356
0.4162 13.2105 502 1.3088 0.1625 1.3088 1.1440
0.4162 13.2632 504 1.3206 0.1943 1.3206 1.1492
0.4162 13.3158 506 1.3889 0.2534 1.3889 1.1785
0.4162 13.3684 508 1.5356 0.2987 1.5356 1.2392
0.4162 13.4211 510 1.6643 0.2062 1.6643 1.2901
0.4162 13.4737 512 1.5622 0.2987 1.5622 1.2499
0.4162 13.5263 514 1.4010 0.1535 1.4010 1.1837
0.4162 13.5789 516 1.2989 0.1951 1.2989 1.1397
0.4162 13.6316 518 1.2846 0.1344 1.2846 1.1334
0.4162 13.6842 520 1.3129 0.1344 1.3129 1.1458
0.4162 13.7368 522 1.3725 0.1026 1.3725 1.1715
0.4162 13.7895 524 1.3558 0.1026 1.3558 1.1644
0.4162 13.8421 526 1.2878 0.1344 1.2878 1.1348

Framework versions

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