ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k20_task7_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: 1.5758
  • Qwk: 0.1212
  • Mse: 1.5758
  • Rmse: 1.2553

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 0.0426 2 2.6637 -0.0924 2.6637 1.6321
No log 0.0851 4 1.4013 0.0141 1.4013 1.1837
No log 0.1277 6 1.3553 -0.2440 1.3553 1.1642
No log 0.1702 8 1.2365 -0.0464 1.2365 1.1120
No log 0.2128 10 1.2210 -0.0344 1.2210 1.1050
No log 0.2553 12 1.2286 -0.0690 1.2286 1.1084
No log 0.2979 14 1.1498 -0.0358 1.1498 1.0723
No log 0.3404 16 1.0321 0.0584 1.0321 1.0159
No log 0.3830 18 0.8367 0.0393 0.8367 0.9147
No log 0.4255 20 0.7600 0.0481 0.7600 0.8718
No log 0.4681 22 0.8111 0.1754 0.8111 0.9006
No log 0.5106 24 0.7766 0.1365 0.7766 0.8812
No log 0.5532 26 0.7313 0.0481 0.7313 0.8551
No log 0.5957 28 0.7361 0.0 0.7361 0.8580
No log 0.6383 30 0.7731 0.0393 0.7731 0.8793
No log 0.6809 32 0.7855 0.0757 0.7855 0.8863
No log 0.7234 34 0.8020 0.1972 0.8020 0.8955
No log 0.7660 36 0.8369 0.2883 0.8369 0.9148
No log 0.8085 38 0.8729 0.3777 0.8729 0.9343
No log 0.8511 40 0.8536 0.3538 0.8536 0.9239
No log 0.8936 42 0.7888 0.3712 0.7888 0.8882
No log 0.9362 44 0.7598 0.2345 0.7598 0.8717
No log 0.9787 46 0.7530 0.1094 0.7530 0.8678
No log 1.0213 48 0.7544 0.0798 0.7544 0.8686
No log 1.0638 50 0.7627 0.0840 0.7627 0.8734
No log 1.1064 52 0.7358 0.0840 0.7358 0.8578
No log 1.1489 54 0.6856 0.0717 0.6856 0.8280
No log 1.1915 56 0.6884 0.2950 0.6884 0.8297
No log 1.2340 58 0.7261 0.3894 0.7261 0.8521
No log 1.2766 60 0.7789 0.3606 0.7789 0.8825
No log 1.3191 62 0.7260 0.3675 0.7260 0.8521
No log 1.3617 64 0.6401 0.3839 0.6401 0.8001
No log 1.4043 66 0.6327 0.1508 0.6327 0.7955
No log 1.4468 68 0.6410 0.1508 0.6410 0.8006
No log 1.4894 70 0.6632 0.1400 0.6632 0.8144
No log 1.5319 72 0.7023 0.3471 0.7023 0.8381
No log 1.5745 74 0.7650 0.4144 0.7650 0.8747
No log 1.6170 76 0.7903 0.4067 0.7903 0.8890
No log 1.6596 78 0.7897 0.3637 0.7897 0.8887
No log 1.7021 80 0.8316 0.2576 0.8316 0.9119
No log 1.7447 82 0.8872 0.2812 0.8872 0.9419
No log 1.7872 84 0.9997 0.3019 0.9997 0.9999
No log 1.8298 86 1.0678 0.2166 1.0678 1.0333
No log 1.8723 88 1.1104 0.2306 1.1104 1.0537
No log 1.9149 90 1.0281 0.2529 1.0281 1.0140
No log 1.9574 92 0.9326 0.3675 0.9326 0.9657
No log 2.0 94 0.8716 0.3675 0.8716 0.9336
No log 2.0426 96 0.8634 0.3746 0.8634 0.9292
No log 2.0851 98 0.8771 0.3494 0.8771 0.9366
No log 2.1277 100 0.9171 0.2843 0.9171 0.9576
No log 2.1702 102 0.8758 0.2574 0.8758 0.9358
No log 2.2128 104 0.8448 0.2692 0.8448 0.9191
No log 2.2553 106 0.8333 0.2574 0.8333 0.9128
No log 2.2979 108 0.8568 0.3234 0.8568 0.9256
No log 2.3404 110 0.8793 0.4175 0.8793 0.9377
No log 2.3830 112 0.9889 0.3022 0.9889 0.9945
No log 2.4255 114 1.0047 0.3160 1.0047 1.0024
No log 2.4681 116 1.0763 0.2730 1.0763 1.0375
No log 2.5106 118 1.0466 0.2779 1.0466 1.0230
No log 2.5532 120 1.1151 0.2824 1.1151 1.0560
No log 2.5957 122 1.0843 0.2659 1.0843 1.0413
No log 2.6383 124 0.9272 0.3461 0.9272 0.9629
No log 2.6809 126 0.8853 0.2871 0.8853 0.9409
No log 2.7234 128 0.9144 0.2754 0.9144 0.9562
No log 2.7660 130 0.8800 0.2812 0.8800 0.9381
No log 2.8085 132 0.8236 0.2871 0.8236 0.9075
No log 2.8511 134 0.8252 0.2871 0.8252 0.9084
No log 2.8936 136 0.8914 0.2439 0.8914 0.9441
No log 2.9362 138 0.9867 0.3043 0.9867 0.9933
No log 2.9787 140 1.1421 0.2094 1.1421 1.0687
No log 3.0213 142 1.2434 0.2271 1.2434 1.1151
No log 3.0638 144 1.1769 0.1689 1.1769 1.0848
No log 3.1064 146 0.9985 0.2012 0.9985 0.9992
No log 3.1489 148 0.9290 0.1815 0.9290 0.9639
No log 3.1915 150 0.9359 0.1661 0.9359 0.9674
No log 3.2340 152 1.0525 0.2124 1.0525 1.0259
No log 3.2766 154 1.0889 0.1712 1.0889 1.0435
No log 3.3191 156 1.0747 0.1912 1.0747 1.0367
No log 3.3617 158 1.0045 0.1575 1.0045 1.0022
No log 3.4043 160 0.9698 0.1409 0.9698 0.9848
No log 3.4468 162 0.9548 0.1181 0.9548 0.9771
No log 3.4894 164 0.9817 0.1504 0.9817 0.9908
No log 3.5319 166 1.0031 0.1718 1.0031 1.0015
No log 3.5745 168 1.0170 0.1293 1.0170 1.0085
No log 3.6170 170 0.9936 0.1914 0.9936 0.9968
No log 3.6596 172 1.0048 0.1867 1.0048 1.0024
No log 3.7021 174 1.0980 0.1565 1.0980 1.0479
No log 3.7447 176 1.2056 0.2125 1.2056 1.0980
No log 3.7872 178 1.2302 0.2439 1.2302 1.1091
No log 3.8298 180 1.1455 0.2779 1.1455 1.0703
No log 3.8723 182 1.0930 0.2754 1.0930 1.0455
No log 3.9149 184 1.0784 0.2220 1.0784 1.0385
No log 3.9574 186 1.1403 0.2554 1.1403 1.0679
No log 4.0 188 1.2969 0.2043 1.2969 1.1388
No log 4.0426 190 1.3622 0.1450 1.3622 1.1671
No log 4.0851 192 1.3052 0.1484 1.3052 1.1424
No log 4.1277 194 1.2622 0.1450 1.2622 1.1235
No log 4.1702 196 1.2648 0.1928 1.2648 1.1246
No log 4.2128 198 1.1831 0.2380 1.1831 1.0877
No log 4.2553 200 1.1262 0.2421 1.1262 1.0612
No log 4.2979 202 1.0855 0.3559 1.0855 1.0419
No log 4.3404 204 1.1628 0.2079 1.1628 1.0783
No log 4.3830 206 1.2835 0.1973 1.2835 1.1329
No log 4.4255 208 1.2825 0.1450 1.2825 1.1325
No log 4.4681 210 1.0654 0.2411 1.0654 1.0322
No log 4.5106 212 0.8324 0.2754 0.8324 0.9123
No log 4.5532 214 0.7856 0.1225 0.7856 0.8863
No log 4.5957 216 0.8323 0.1766 0.8323 0.9123
No log 4.6383 218 0.9972 0.2934 0.9972 0.9986
No log 4.6809 220 1.2488 0.2043 1.2488 1.1175
No log 4.7234 222 1.3068 0.1641 1.3068 1.1432
No log 4.7660 224 1.1524 0.2732 1.1524 1.0735
No log 4.8085 226 0.9214 0.3538 0.9214 0.9599
No log 4.8511 228 0.8427 0.3359 0.8427 0.9180
No log 4.8936 230 0.8577 0.3359 0.8577 0.9261
No log 4.9362 232 0.9906 0.3409 0.9906 0.9953
No log 4.9787 234 1.1941 0.2240 1.1941 1.0927
No log 5.0213 236 1.3406 0.0992 1.3406 1.1578
No log 5.0638 238 1.3299 0.0992 1.3299 1.1532
No log 5.1064 240 1.2705 0.0992 1.2705 1.1271
No log 5.1489 242 1.2032 0.1895 1.2032 1.0969
No log 5.1915 244 1.0963 0.2898 1.0963 1.0470
No log 5.2340 246 1.0007 0.3618 1.0007 1.0003
No log 5.2766 248 1.0085 0.3678 1.0085 1.0042
No log 5.3191 250 1.0542 0.3559 1.0542 1.0268
No log 5.3617 252 1.1527 0.2885 1.1527 1.0737
No log 5.4043 254 1.2276 0.1796 1.2276 1.1080
No log 5.4468 256 1.1468 0.2482 1.1468 1.0709
No log 5.4894 258 1.0743 0.2562 1.0743 1.0365
No log 5.5319 260 1.0421 0.2562 1.0421 1.0208
No log 5.5745 262 0.9842 0.1628 0.9842 0.9921
No log 5.6170 264 1.0036 0.2632 1.0036 1.0018
No log 5.6596 266 1.0427 0.2094 1.0427 1.0211
No log 5.7021 268 1.0650 0.1777 1.0650 1.0320
No log 5.7447 270 1.1338 0.1463 1.1338 1.0648
No log 5.7872 272 1.1282 0.2166 1.1282 1.0622
No log 5.8298 274 1.0319 0.3137 1.0319 1.0158
No log 5.8723 276 1.0287 0.3287 1.0287 1.0142
No log 5.9149 278 1.1328 0.2545 1.1328 1.0643
No log 5.9574 280 1.2403 0.2459 1.2403 1.1137
No log 6.0 282 1.2752 0.2074 1.2752 1.1292
No log 6.0426 284 1.3020 0.1814 1.3020 1.1411
No log 6.0851 286 1.2599 0.1663 1.2599 1.1224
No log 6.1277 288 1.3429 0.1740 1.3429 1.1588
No log 6.1702 290 1.5522 0.1189 1.5522 1.2459
No log 6.2128 292 1.5905 0.0967 1.5905 1.2612
No log 6.2553 294 1.4501 0.1527 1.4501 1.2042
No log 6.2979 296 1.1719 0.2324 1.1719 1.0825
No log 6.3404 298 0.9925 0.2886 0.9925 0.9962
No log 6.3830 300 0.8838 0.3746 0.8838 0.9401
No log 6.4255 302 0.9002 0.2982 0.9002 0.9488
No log 6.4681 304 1.1144 0.2166 1.1144 1.0557
No log 6.5106 306 1.3247 0.2145 1.3247 1.1509
No log 6.5532 308 1.4620 0.2145 1.4620 1.2091
No log 6.5957 310 1.3484 0.1896 1.3484 1.1612
No log 6.6383 312 1.2891 0.2142 1.2891 1.1354
No log 6.6809 314 1.4039 0.2070 1.4039 1.1849
No log 6.7234 316 1.6608 0.2137 1.6608 1.2887
No log 6.7660 318 1.9896 0.1483 1.9896 1.4105
No log 6.8085 320 1.9771 0.1374 1.9771 1.4061
No log 6.8511 322 1.6755 0.1562 1.6755 1.2944
No log 6.8936 324 1.3255 0.1985 1.3255 1.1513
No log 6.9362 326 1.0842 0.2183 1.0842 1.0413
No log 6.9787 328 1.0589 0.2271 1.0589 1.0290
No log 7.0213 330 1.2116 0.2264 1.2116 1.1007
No log 7.0638 332 1.4638 0.1386 1.4638 1.2099
No log 7.1064 334 1.6130 0.1639 1.6130 1.2700
No log 7.1489 336 1.4876 0.1748 1.4876 1.2197
No log 7.1915 338 1.2303 0.1956 1.2303 1.1092
No log 7.2340 340 1.1143 0.2977 1.1143 1.0556
No log 7.2766 342 1.0727 0.2529 1.0727 1.0357
No log 7.3191 344 1.2328 0.2245 1.2328 1.1103
No log 7.3617 346 1.4310 0.2070 1.4310 1.1963
No log 7.4043 348 1.5150 0.1285 1.5150 1.2309
No log 7.4468 350 1.3966 0.0948 1.3966 1.1818
No log 7.4894 352 1.2291 0.2145 1.2291 1.1087
No log 7.5319 354 1.1636 0.1884 1.1636 1.0787
No log 7.5745 356 1.1511 0.1671 1.1511 1.0729
No log 7.6170 358 1.1594 0.1732 1.1594 1.0768
No log 7.6596 360 1.2131 0.1885 1.2131 1.1014
No log 7.7021 362 1.3714 0.2101 1.3714 1.1711
No log 7.7447 364 1.4226 0.1942 1.4226 1.1927
No log 7.7872 366 1.3898 0.1439 1.3898 1.1789
No log 7.8298 368 1.2726 0.1522 1.2726 1.1281
No log 7.8723 370 1.0750 0.2459 1.0750 1.0368
No log 7.9149 372 0.9148 0.3991 0.9148 0.9565
No log 7.9574 374 0.8799 0.3494 0.8799 0.9380
No log 8.0 376 0.9278 0.3256 0.9278 0.9632
No log 8.0426 378 1.0541 0.2982 1.0541 1.0267
No log 8.0851 380 1.2293 0.1905 1.2293 1.1088
No log 8.1277 382 1.3812 0.1670 1.3812 1.1753
No log 8.1702 384 1.3951 0.1670 1.3951 1.1812
No log 8.2128 386 1.2804 0.1670 1.2804 1.1315
No log 8.2553 388 1.1460 0.2168 1.1460 1.0705
No log 8.2979 390 1.0950 0.2898 1.0950 1.0464
No log 8.3404 392 1.1259 0.1810 1.1259 1.0611
No log 8.3830 394 1.1749 0.1873 1.1749 1.0839
No log 8.4255 396 1.3328 0.1726 1.3328 1.1545
No log 8.4681 398 1.5848 0.1721 1.5848 1.2589
No log 8.5106 400 1.6795 0.1504 1.6795 1.2960
No log 8.5532 402 1.6258 0.1584 1.6258 1.2751
No log 8.5957 404 1.4334 0.1905 1.4334 1.1972
No log 8.6383 406 1.2283 0.1884 1.2283 1.1083
No log 8.6809 408 1.1598 0.1484 1.1598 1.0769
No log 8.7234 410 1.1777 0.2336 1.1777 1.0852
No log 8.7660 412 1.3147 0.2086 1.3147 1.1466
No log 8.8085 414 1.5129 0.1439 1.5129 1.2300
No log 8.8511 416 1.5465 0.1189 1.5465 1.2436
No log 8.8936 418 1.4248 0.1171 1.4248 1.1937
No log 8.9362 420 1.2621 0.1678 1.2621 1.1234
No log 8.9787 422 1.0897 0.1968 1.0897 1.0439
No log 9.0213 424 0.9985 0.2857 0.9985 0.9992
No log 9.0638 426 0.9976 0.3214 0.9976 0.9988
No log 9.1064 428 1.0787 0.2710 1.0787 1.0386
No log 9.1489 430 1.2451 0.1422 1.2451 1.1159
No log 9.1915 432 1.3791 0.1122 1.3791 1.1744
No log 9.2340 434 1.5209 0.1031 1.5209 1.2333
No log 9.2766 436 1.6475 0.1123 1.6475 1.2836
No log 9.3191 438 1.5782 0.1339 1.5782 1.2563
No log 9.3617 440 1.4102 0.1285 1.4102 1.1875
No log 9.4043 442 1.2136 0.1422 1.2136 1.1016
No log 9.4468 444 1.1310 0.2130 1.1310 1.0635
No log 9.4894 446 1.1822 0.1450 1.1822 1.0873
No log 9.5319 448 1.3821 0.1285 1.3821 1.1756
No log 9.5745 450 1.5172 0.1053 1.5172 1.2318
No log 9.6170 452 1.4819 0.1285 1.4819 1.2173
No log 9.6596 454 1.3834 0.1122 1.3834 1.1762
No log 9.7021 456 1.3257 0.1171 1.3257 1.1514
No log 9.7447 458 1.2208 0.1422 1.2208 1.1049
No log 9.7872 460 1.2259 0.1422 1.2259 1.1072
No log 9.8298 462 1.1593 0.1740 1.1593 1.0767
No log 9.8723 464 1.0468 0.3110 1.0468 1.0231
No log 9.9149 466 1.0325 0.3233 1.0325 1.0161
No log 9.9574 468 1.0756 0.3134 1.0756 1.0371
No log 10.0 470 1.1063 0.2559 1.1063 1.0518
No log 10.0426 472 1.2347 0.1740 1.2347 1.1112
No log 10.0851 474 1.4333 0.1212 1.4333 1.1972
No log 10.1277 476 1.5129 0.1053 1.5129 1.2300
No log 10.1702 478 1.4558 0.0925 1.4558 1.2066
No log 10.2128 480 1.3235 0.0993 1.3235 1.1504
No log 10.2553 482 1.1590 0.2543 1.1590 1.0766
No log 10.2979 484 1.0594 0.2903 1.0594 1.0293
No log 10.3404 486 1.0267 0.3337 1.0267 1.0133
No log 10.3830 488 1.0256 0.3337 1.0256 1.0127
No log 10.4255 490 1.0592 0.3225 1.0592 1.0292
No log 10.4681 492 1.1422 0.2543 1.1422 1.0687
No log 10.5106 494 1.2296 0.1782 1.2296 1.1089
No log 10.5532 496 1.2458 0.1939 1.2458 1.1162
No log 10.5957 498 1.1652 0.1815 1.1652 1.0794
0.3082 10.6383 500 1.0864 0.2459 1.0864 1.0423
0.3082 10.6809 502 1.0592 0.2755 1.0592 1.0292
0.3082 10.7234 504 1.0735 0.2889 1.0735 1.0361
0.3082 10.7660 506 1.0899 0.2889 1.0899 1.0440
0.3082 10.8085 508 1.0612 0.3052 1.0612 1.0302
0.3082 10.8511 510 1.0651 0.3253 1.0651 1.0321
0.3082 10.8936 512 1.1450 0.3174 1.1450 1.0700
0.3082 10.9362 514 1.2130 0.2074 1.2130 1.1013
0.3082 10.9787 516 1.2692 0.2041 1.2692 1.1266
0.3082 11.0213 518 1.4175 0.1464 1.4175 1.1906
0.3082 11.0638 520 1.5510 0.1212 1.5510 1.2454
0.3082 11.1064 522 1.5758 0.1212 1.5758 1.2553

Framework versions

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