ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k12_task1_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: 1.1805
  • Qwk: 0.5455
  • Mse: 1.1805
  • Rmse: 1.0865

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 0.0351 2 6.7810 0.0116 6.7810 2.6040
No log 0.0702 4 4.1738 0.0702 4.1738 2.0430
No log 0.1053 6 3.4316 0.0 3.4316 1.8525
No log 0.1404 8 2.6543 0.1258 2.6543 1.6292
No log 0.1754 10 2.3478 0.0816 2.3478 1.5323
No log 0.2105 12 1.9373 0.2149 1.9373 1.3919
No log 0.2456 14 1.6519 0.2143 1.6519 1.2853
No log 0.2807 16 1.5090 0.2435 1.5090 1.2284
No log 0.3158 18 1.4216 0.3025 1.4216 1.1923
No log 0.3509 20 1.4408 0.3025 1.4408 1.2003
No log 0.3860 22 1.6642 0.3101 1.6642 1.2900
No log 0.4211 24 1.8737 0.3188 1.8737 1.3688
No log 0.4561 26 1.6295 0.3438 1.6295 1.2765
No log 0.4912 28 1.5542 0.3937 1.5542 1.2467
No log 0.5263 30 1.3551 0.2759 1.3551 1.1641
No log 0.5614 32 1.3769 0.2321 1.3769 1.1734
No log 0.5965 34 1.6054 0.3226 1.6054 1.2670
No log 0.6316 36 1.9742 0.3235 1.9742 1.4051
No log 0.6667 38 1.9450 0.3121 1.9450 1.3946
No log 0.7018 40 1.7615 0.3852 1.7615 1.3272
No log 0.7368 42 1.7149 0.3182 1.7149 1.3095
No log 0.7719 44 1.7031 0.3741 1.7031 1.3050
No log 0.8070 46 1.7934 0.3972 1.7934 1.3392
No log 0.8421 48 1.5931 0.4218 1.5931 1.2622
No log 0.8772 50 1.2955 0.5324 1.2955 1.1382
No log 0.9123 52 1.1668 0.5362 1.1668 1.0802
No log 0.9474 54 1.1734 0.5821 1.1734 1.0832
No log 0.9825 56 1.3107 0.4762 1.3107 1.1449
No log 1.0175 58 1.2334 0.4882 1.2334 1.1106
No log 1.0526 60 1.2125 0.4662 1.2125 1.1012
No log 1.0877 62 1.4008 0.4317 1.4008 1.1836
No log 1.1228 64 1.3022 0.4965 1.3022 1.1411
No log 1.1579 66 1.2308 0.5037 1.2308 1.1094
No log 1.1930 68 1.2879 0.4275 1.2879 1.1348
No log 1.2281 70 1.4725 0.3802 1.4725 1.2135
No log 1.2632 72 1.8793 0.2333 1.8793 1.3709
No log 1.2982 74 1.7287 0.2975 1.7287 1.3148
No log 1.3333 76 1.2895 0.5 1.2895 1.1355
No log 1.3684 78 1.4963 0.4615 1.4963 1.2232
No log 1.4035 80 1.7879 0.3401 1.7879 1.3371
No log 1.4386 82 1.5711 0.3942 1.5711 1.2534
No log 1.4737 84 1.3246 0.4127 1.3246 1.1509
No log 1.5088 86 1.2196 0.4961 1.2196 1.1044
No log 1.5439 88 1.2007 0.4921 1.2007 1.0958
No log 1.5789 90 1.1713 0.5312 1.1713 1.0823
No log 1.6140 92 1.1997 0.5882 1.1997 1.0953
No log 1.6491 94 1.1723 0.5882 1.1723 1.0827
No log 1.6842 96 1.2297 0.5526 1.2297 1.1089
No log 1.7193 98 1.1856 0.5733 1.1856 1.0888
No log 1.7544 100 1.0440 0.6154 1.0440 1.0218
No log 1.7895 102 1.0516 0.5547 1.0516 1.0255
No log 1.8246 104 0.9325 0.7083 0.9325 0.9657
No log 1.8596 106 0.8924 0.6752 0.8924 0.9447
No log 1.8947 108 0.8391 0.6993 0.8391 0.9160
No log 1.9298 110 0.8597 0.7042 0.8597 0.9272
No log 1.9649 112 0.9365 0.5758 0.9365 0.9677
No log 2.0 114 1.0475 0.5606 1.0475 1.0235
No log 2.0351 116 0.9669 0.5802 0.9669 0.9833
No log 2.0702 118 1.1467 0.5354 1.1467 1.0708
No log 2.1053 120 1.2073 0.5197 1.2073 1.0988
No log 2.1404 122 1.0636 0.5312 1.0636 1.0313
No log 2.1754 124 0.9434 0.6423 0.9434 0.9713
No log 2.2105 126 0.8995 0.6331 0.8995 0.9484
No log 2.2456 128 0.8781 0.6331 0.8781 0.9371
No log 2.2807 130 1.0089 0.6761 1.0089 1.0045
No log 2.3158 132 1.1257 0.5839 1.1257 1.0610
No log 2.3509 134 0.9809 0.6853 0.9809 0.9904
No log 2.3860 136 0.9616 0.6667 0.9616 0.9806
No log 2.4211 138 0.9353 0.5846 0.9353 0.9671
No log 2.4561 140 0.9795 0.5079 0.9795 0.9897
No log 2.4912 142 1.0147 0.5039 1.0147 1.0073
No log 2.5263 144 1.0423 0.5652 1.0423 1.0209
No log 2.5614 146 1.2837 0.5897 1.2837 1.1330
No log 2.5965 148 1.3904 0.5576 1.3904 1.1792
No log 2.6316 150 1.0489 0.6216 1.0489 1.0242
No log 2.6667 152 0.8941 0.6618 0.8941 0.9456
No log 2.7018 154 0.8983 0.6619 0.8983 0.9478
No log 2.7368 156 0.9023 0.6763 0.9023 0.9499
No log 2.7719 158 0.9707 0.5899 0.9707 0.9853
No log 2.8070 160 1.1335 0.6207 1.1335 1.0647
No log 2.8421 162 1.1202 0.625 1.1202 1.0584
No log 2.8772 164 0.9496 0.6131 0.9496 0.9745
No log 2.9123 166 0.9873 0.5672 0.9873 0.9936
No log 2.9474 168 1.0894 0.5630 1.0894 1.0437
No log 2.9825 170 0.9550 0.6619 0.9550 0.9772
No log 3.0175 172 0.8037 0.6950 0.8037 0.8965
No log 3.0526 174 0.8221 0.6944 0.8221 0.9067
No log 3.0877 176 1.0150 0.6623 1.0150 1.0075
No log 3.1228 178 0.9899 0.6351 0.9899 0.9949
No log 3.1579 180 0.8861 0.5865 0.8861 0.9413
No log 3.1930 182 1.0247 0.5781 1.0247 1.0123
No log 3.2281 184 1.0652 0.5161 1.0652 1.0321
No log 3.2632 186 1.0420 0.48 1.0420 1.0208
No log 3.2982 188 1.0886 0.5344 1.0886 1.0433
No log 3.3333 190 1.0753 0.5385 1.0753 1.0370
No log 3.3684 192 1.0255 0.5079 1.0255 1.0127
No log 3.4035 194 1.0223 0.6061 1.0222 1.0111
No log 3.4386 196 1.2798 0.4962 1.2798 1.1313
No log 3.4737 198 1.4950 0.4762 1.4950 1.2227
No log 3.5088 200 1.4899 0.4539 1.4899 1.2206
No log 3.5439 202 1.5827 0.4173 1.5827 1.2581
No log 3.5789 204 1.6440 0.2720 1.6440 1.2822
No log 3.6140 206 1.6406 0.3443 1.6406 1.2809
No log 3.6491 208 1.5131 0.4032 1.5131 1.2301
No log 3.6842 210 1.2774 0.4921 1.2774 1.1302
No log 3.7193 212 1.1814 0.5039 1.1814 1.0869
No log 3.7544 214 1.1991 0.4882 1.1991 1.0950
No log 3.7895 216 1.1724 0.5039 1.1724 1.0828
No log 3.8246 218 1.2297 0.4 1.2297 1.1089
No log 3.8596 220 1.3493 0.4103 1.3493 1.1616
No log 3.8947 222 1.3334 0.3571 1.3334 1.1547
No log 3.9298 224 1.2598 0.3652 1.2598 1.1224
No log 3.9649 226 1.2802 0.4160 1.2802 1.1315
No log 4.0 228 1.2801 0.4567 1.2801 1.1314
No log 4.0351 230 1.2048 0.5156 1.2048 1.0977
No log 4.0702 232 1.2011 0.4202 1.2011 1.0960
No log 4.1053 234 1.1923 0.4237 1.1923 1.0919
No log 4.1404 236 1.1462 0.4516 1.1462 1.0706
No log 4.1754 238 1.0993 0.5079 1.0993 1.0485
No log 4.2105 240 1.0906 0.5538 1.0906 1.0443
No log 4.2456 242 1.1814 0.5753 1.1814 1.0869
No log 4.2807 244 1.1743 0.5714 1.1743 1.0836
No log 4.3158 246 1.0389 0.5538 1.0389 1.0192
No log 4.3509 248 1.0028 0.5581 1.0028 1.0014
No log 4.3860 250 0.9899 0.6107 0.9899 0.9950
No log 4.4211 252 0.9874 0.5581 0.9874 0.9937
No log 4.4561 254 1.0510 0.5344 1.0510 1.0252
No log 4.4912 256 1.0679 0.5156 1.0679 1.0334
No log 4.5263 258 1.1058 0.48 1.1058 1.0516
No log 4.5614 260 1.1590 0.4202 1.1590 1.0765
No log 4.5965 262 1.1357 0.4500 1.1357 1.0657
No log 4.6316 264 1.1145 0.4553 1.1145 1.0557
No log 4.6667 266 1.1215 0.5116 1.1215 1.0590
No log 4.7018 268 1.1506 0.4844 1.1506 1.0727
No log 4.7368 270 1.1332 0.4463 1.1332 1.0645
No log 4.7719 272 1.1859 0.5312 1.1859 1.0890
No log 4.8070 274 1.2586 0.4806 1.2586 1.1219
No log 4.8421 276 1.2617 0.4688 1.2617 1.1233
No log 4.8772 278 1.1886 0.5079 1.1886 1.0902
No log 4.9123 280 1.1252 0.4298 1.1252 1.0608
No log 4.9474 282 1.1257 0.5039 1.1257 1.0610
No log 4.9825 284 1.0981 0.496 1.0981 1.0479
No log 5.0175 286 1.0987 0.4553 1.0987 1.0482
No log 5.0526 288 1.0995 0.4677 1.0995 1.0486
No log 5.0877 290 1.1059 0.5039 1.1059 1.0516
No log 5.1228 292 1.1106 0.5039 1.1106 1.0538
No log 5.1579 294 1.1301 0.4844 1.1301 1.0631
No log 5.1930 296 1.1290 0.5116 1.1290 1.0625
No log 5.2281 298 1.1483 0.5077 1.1483 1.0716
No log 5.2632 300 1.2022 0.5 1.2022 1.0965
No log 5.2982 302 1.2252 0.4882 1.2252 1.1069
No log 5.3333 304 1.2309 0.4355 1.2309 1.1094
No log 5.3684 306 1.2290 0.4516 1.2290 1.1086
No log 5.4035 308 1.2007 0.4882 1.2007 1.0958
No log 5.4386 310 1.1650 0.4098 1.1650 1.0793
No log 5.4737 312 1.1859 0.5 1.1859 1.0890
No log 5.5088 314 1.1953 0.4844 1.1953 1.0933
No log 5.5439 316 1.1473 0.4882 1.1473 1.0711
No log 5.5789 318 1.1630 0.4390 1.1630 1.0784
No log 5.6140 320 1.1510 0.4262 1.1510 1.0729
No log 5.6491 322 1.1516 0.4677 1.1516 1.0731
No log 5.6842 324 1.1659 0.48 1.1659 1.0798
No log 5.7193 326 1.2119 0.4921 1.2119 1.1009
No log 5.7544 328 1.2134 0.4921 1.2134 1.1016
No log 5.7895 330 1.2006 0.4921 1.2006 1.0957
No log 5.8246 332 1.1425 0.4355 1.1425 1.0689
No log 5.8596 334 1.1053 0.4228 1.1053 1.0513
No log 5.8947 336 1.0901 0.4480 1.0901 1.0441
No log 5.9298 338 1.0665 0.4844 1.0665 1.0327
No log 5.9649 340 1.0925 0.5303 1.0925 1.0452
No log 6.0 342 1.0786 0.5414 1.0786 1.0386
No log 6.0351 344 0.9893 0.5926 0.9893 0.9946
No log 6.0702 346 0.9729 0.6029 0.9729 0.9863
No log 6.1053 348 1.1440 0.5857 1.1440 1.0696
No log 6.1404 350 1.1938 0.5333 1.1938 1.0926
No log 6.1754 352 1.1089 0.6107 1.1089 1.0530
No log 6.2105 354 1.0758 0.4516 1.0758 1.0372
No log 6.2456 356 1.2534 0.4733 1.2534 1.1196
No log 6.2807 358 1.3252 0.4776 1.3252 1.1512
No log 6.3158 360 1.2413 0.4769 1.2413 1.1142
No log 6.3509 362 1.1483 0.4677 1.1483 1.0716
No log 6.3860 364 1.1521 0.4640 1.1521 1.0734
No log 6.4211 366 1.1449 0.4762 1.1449 1.0700
No log 6.4561 368 1.0906 0.4640 1.0906 1.0443
No log 6.4912 370 1.0466 0.5156 1.0466 1.0230
No log 6.5263 372 1.0730 0.4882 1.0730 1.0358
No log 6.5614 374 1.1120 0.4882 1.1120 1.0545
No log 6.5965 376 1.1195 0.4132 1.1195 1.0581
No log 6.6316 378 1.1099 0.4132 1.1099 1.0535
No log 6.6667 380 1.1082 0.4355 1.1082 1.0527
No log 6.7018 382 1.1406 0.4463 1.1406 1.0680
No log 6.7368 384 1.1677 0.3866 1.1677 1.0806
No log 6.7719 386 1.1543 0.4516 1.1543 1.0744
No log 6.8070 388 1.1516 0.4320 1.1516 1.0731
No log 6.8421 390 1.1563 0.4194 1.1563 1.0753
No log 6.8772 392 1.1543 0.4844 1.1543 1.0744
No log 6.9123 394 1.1676 0.5455 1.1676 1.0806
No log 6.9474 396 1.1167 0.5606 1.1167 1.0567
No log 6.9825 398 1.1057 0.5077 1.1057 1.0515
No log 7.0175 400 1.1039 0.4844 1.1039 1.0507
No log 7.0526 402 1.1389 0.4603 1.1389 1.0672
No log 7.0877 404 1.1577 0.4603 1.1577 1.0760
No log 7.1228 406 1.1141 0.4961 1.1141 1.0555
No log 7.1579 408 1.0683 0.5778 1.0683 1.0336
No log 7.1930 410 1.0427 0.5957 1.0427 1.0211
No log 7.2281 412 0.9844 0.5942 0.9844 0.9922
No log 7.2632 414 0.9540 0.5522 0.9540 0.9767
No log 7.2982 416 1.0055 0.5909 1.0055 1.0027
No log 7.3333 418 1.0332 0.5649 1.0332 1.0165
No log 7.3684 420 1.0240 0.5197 1.0240 1.0119
No log 7.4035 422 1.0431 0.4098 1.0431 1.0213
No log 7.4386 424 1.0852 0.4355 1.0852 1.0417
No log 7.4737 426 1.1234 0.4167 1.1234 1.0599
No log 7.5088 428 1.1310 0.3898 1.1310 1.0635
No log 7.5439 430 1.1233 0.3652 1.1233 1.0599
No log 7.5789 432 1.0938 0.3793 1.0938 1.0459
No log 7.6140 434 1.0459 0.4706 1.0459 1.0227
No log 7.6491 436 1.0291 0.4918 1.0291 1.0145
No log 7.6842 438 1.0815 0.4706 1.0815 1.0399
No log 7.7193 440 1.1201 0.4538 1.1201 1.0583
No log 7.7544 442 1.1748 0.4370 1.1748 1.0839
No log 7.7895 444 1.1311 0.4463 1.1311 1.0635
No log 7.8246 446 1.0687 0.5041 1.0687 1.0338
No log 7.8596 448 1.0576 0.5736 1.0576 1.0284
No log 7.8947 450 1.0907 0.5496 1.0907 1.0444
No log 7.9298 452 1.0998 0.5312 1.0998 1.0487
No log 7.9649 454 1.0745 0.4628 1.0745 1.0366
No log 8.0 456 1.0884 0.4746 1.0884 1.0433
No log 8.0351 458 1.0995 0.4833 1.0995 1.0486
No log 8.0702 460 1.0479 0.5161 1.0479 1.0237
No log 8.1053 462 0.9848 0.5426 0.9848 0.9923
No log 8.1404 464 0.9665 0.5312 0.9665 0.9831
No log 8.1754 466 1.0188 0.5156 1.0188 1.0093
No log 8.2105 468 1.0725 0.5156 1.0725 1.0356
No log 8.2456 470 1.0993 0.5197 1.0993 1.0485
No log 8.2807 472 1.1035 0.4463 1.1035 1.0505
No log 8.3158 474 1.0951 0.4667 1.0951 1.0465
No log 8.3509 476 1.0181 0.4839 1.0181 1.0090
No log 8.3860 478 0.9564 0.5606 0.9564 0.9779
No log 8.4211 480 0.9346 0.5985 0.9346 0.9667
No log 8.4561 482 0.9222 0.5714 0.9222 0.9603
No log 8.4912 484 0.9478 0.5156 0.9478 0.9735
No log 8.5263 486 1.0739 0.512 1.0739 1.0363
No log 8.5614 488 1.2409 0.4237 1.2409 1.1140
No log 8.5965 490 1.2179 0.4103 1.2179 1.1036
No log 8.6316 492 1.0933 0.4754 1.0933 1.0456
No log 8.6667 494 0.9431 0.5538 0.9431 0.9711
No log 8.7018 496 0.8510 0.5926 0.8510 0.9225
No log 8.7368 498 0.8342 0.6423 0.8342 0.9133
0.3664 8.7719 500 0.8086 0.6619 0.8086 0.8992
0.3664 8.8070 502 0.8169 0.6619 0.8169 0.9038
0.3664 8.8421 504 0.9007 0.6714 0.9007 0.9490
0.3664 8.8772 506 0.9649 0.6154 0.9649 0.9823
0.3664 8.9123 508 0.9719 0.5161 0.9719 0.9859
0.3664 8.9474 510 1.0399 0.48 1.0399 1.0198
0.3664 8.9825 512 1.1395 0.5455 1.1395 1.0675
0.3664 9.0175 514 1.1805 0.5455 1.1805 1.0865

Framework versions

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