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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