ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_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: 1.0733
  • Qwk: 0.4174
  • Mse: 1.0733
  • Rmse: 1.0360

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 0.0253 2 6.7620 0.0116 6.7620 2.6004
No log 0.0506 4 4.2295 0.0779 4.2295 2.0566
No log 0.0759 6 3.1256 0.0118 3.1256 1.7679
No log 0.1013 8 2.2349 0.0902 2.2349 1.4950
No log 0.1266 10 1.7167 0.1495 1.7167 1.3102
No log 0.1519 12 1.6625 0.2182 1.6625 1.2894
No log 0.1772 14 1.5742 0.2321 1.5742 1.2547
No log 0.2025 16 2.0986 0.2190 2.0986 1.4486
No log 0.2278 18 2.4620 0.12 2.4620 1.5691
No log 0.2532 20 2.0903 0.2628 2.0903 1.4458
No log 0.2785 22 1.6504 0.2609 1.6504 1.2847
No log 0.3038 24 1.5053 0.2182 1.5053 1.2269
No log 0.3291 26 1.4989 0.2162 1.4989 1.2243
No log 0.3544 28 1.5631 0.2414 1.5631 1.2502
No log 0.3797 30 1.5605 0.2857 1.5605 1.2492
No log 0.4051 32 1.7499 0.3944 1.7499 1.3228
No log 0.4304 34 1.9518 0.3975 1.9518 1.3971
No log 0.4557 36 1.4823 0.4507 1.4823 1.2175
No log 0.4810 38 1.2828 0.4 1.2828 1.1326
No log 0.5063 40 1.7959 0.125 1.7959 1.3401
No log 0.5316 42 1.4807 0.2832 1.4807 1.2168
No log 0.5570 44 1.1757 0.4262 1.1757 1.0843
No log 0.5823 46 1.2443 0.4496 1.2443 1.1155
No log 0.6076 48 1.5629 0.4539 1.5629 1.2502
No log 0.6329 50 1.5679 0.4030 1.5679 1.2521
No log 0.6582 52 1.6603 0.4296 1.6603 1.2885
No log 0.6835 54 1.3707 0.3934 1.3707 1.1708
No log 0.7089 56 1.2371 0.4068 1.2371 1.1123
No log 0.7342 58 1.2657 0.3243 1.2657 1.1250
No log 0.7595 60 1.2596 0.2936 1.2596 1.1223
No log 0.7848 62 1.1472 0.4444 1.1472 1.0711
No log 0.8101 64 1.1374 0.4724 1.1374 1.0665
No log 0.8354 66 1.1084 0.5373 1.1084 1.0528
No log 0.8608 68 1.0276 0.5985 1.0276 1.0137
No log 0.8861 70 1.0590 0.5714 1.0590 1.0291
No log 0.9114 72 1.1527 0.5397 1.1527 1.0736
No log 0.9367 74 1.1971 0.4915 1.1971 1.0941
No log 0.9620 76 1.0313 0.5512 1.0313 1.0155
No log 0.9873 78 1.2127 0.5735 1.2127 1.1012
No log 1.0127 80 1.6996 0.4444 1.6996 1.3037
No log 1.0380 82 1.6122 0.4636 1.6122 1.2697
No log 1.0633 84 1.2450 0.4844 1.2450 1.1158
No log 1.0886 86 1.2319 0.3571 1.2319 1.1099
No log 1.1139 88 1.5016 0.2056 1.5016 1.2254
No log 1.1392 90 1.7217 0.1121 1.7217 1.3121
No log 1.1646 92 1.5004 0.2056 1.5004 1.2249
No log 1.1899 94 1.2532 0.4103 1.2532 1.1195
No log 1.2152 96 1.1880 0.4878 1.1880 1.0899
No log 1.2405 98 1.0710 0.5323 1.0710 1.0349
No log 1.2658 100 1.0123 0.5210 1.0123 1.0061
No log 1.2911 102 0.9852 0.5854 0.9852 0.9926
No log 1.3165 104 0.9731 0.6129 0.9731 0.9865
No log 1.3418 106 0.9241 0.5968 0.9241 0.9613
No log 1.3671 108 0.9089 0.6299 0.9089 0.9533
No log 1.3924 110 0.9706 0.6567 0.9706 0.9852
No log 1.4177 112 0.9597 0.6519 0.9597 0.9796
No log 1.4430 114 0.9008 0.6094 0.9008 0.9491
No log 1.4684 116 0.8465 0.6567 0.8465 0.9200
No log 1.4937 118 0.7944 0.6857 0.7944 0.8913
No log 1.5190 120 0.7102 0.7324 0.7102 0.8427
No log 1.5443 122 0.9530 0.6111 0.9530 0.9762
No log 1.5696 124 1.0992 0.5694 1.0992 1.0484
No log 1.5949 126 0.9486 0.6174 0.9486 0.9740
No log 1.6203 128 0.8940 0.7059 0.8940 0.9455
No log 1.6456 130 0.9529 0.6577 0.9529 0.9762
No log 1.6709 132 1.1456 0.5734 1.1456 1.0703
No log 1.6962 134 1.5916 0.3852 1.5916 1.2616
No log 1.7215 136 1.5872 0.4091 1.5872 1.2598
No log 1.7468 138 1.2785 0.5113 1.2785 1.1307
No log 1.7722 140 1.0972 0.6047 1.0972 1.0475
No log 1.7975 142 1.1008 0.5246 1.1008 1.0492
No log 1.8228 144 1.1017 0.5574 1.1017 1.0496
No log 1.8481 146 1.1327 0.4833 1.1327 1.0643
No log 1.8734 148 1.1507 0.4390 1.1507 1.0727
No log 1.8987 150 1.2025 0.4724 1.2025 1.0966
No log 1.9241 152 1.1395 0.4516 1.1395 1.0675
No log 1.9494 154 1.0780 0.5645 1.0780 1.0383
No log 1.9747 156 1.0860 0.5600 1.0860 1.0421
No log 2.0 158 1.0566 0.5600 1.0566 1.0279
No log 2.0253 160 1.0308 0.56 1.0308 1.0153
No log 2.0506 162 1.1684 0.4806 1.1684 1.0809
No log 2.0759 164 1.1209 0.48 1.1209 1.0587
No log 2.1013 166 1.2273 0.5079 1.2273 1.1079
No log 2.1266 168 1.5351 0.4118 1.5351 1.2390
No log 2.1519 170 1.5139 0.4361 1.5139 1.2304
No log 2.1772 172 1.3017 0.4667 1.3017 1.1409
No log 2.2025 174 1.1956 0.3932 1.1956 1.0934
No log 2.2278 176 1.1633 0.4202 1.1633 1.0786
No log 2.2532 178 1.1197 0.5 1.1197 1.0582
No log 2.2785 180 1.2047 0.6047 1.2047 1.0976
No log 2.3038 182 1.1927 0.6 1.1927 1.0921
No log 2.3291 184 1.1520 0.6 1.1520 1.0733
No log 2.3544 186 1.0098 0.5645 1.0098 1.0049
No log 2.3797 188 0.9644 0.5781 0.9644 0.9820
No log 2.4051 190 1.0375 0.6466 1.0375 1.0186
No log 2.4304 192 1.1218 0.6165 1.1218 1.0592
No log 2.4557 194 1.1026 0.6277 1.1026 1.0500
No log 2.4810 196 1.0919 0.6087 1.0919 1.0450
No log 2.5063 198 1.2531 0.5294 1.2531 1.1194
No log 2.5316 200 1.2232 0.5333 1.2232 1.1060
No log 2.5570 202 1.0850 0.6094 1.0850 1.0417
No log 2.5823 204 0.9785 0.5625 0.9785 0.9892
No log 2.6076 206 1.0070 0.5484 1.0070 1.0035
No log 2.6329 208 1.0336 0.4333 1.0336 1.0167
No log 2.6582 210 1.0461 0.5 1.0461 1.0228
No log 2.6835 212 1.0617 0.5827 1.0617 1.0304
No log 2.7089 214 1.1830 0.5630 1.1830 1.0876
No log 2.7342 216 1.3554 0.4928 1.3554 1.1642
No log 2.7595 218 1.3497 0.4928 1.3497 1.1618
No log 2.7848 220 1.2934 0.4964 1.2934 1.1373
No log 2.8101 222 1.2636 0.5147 1.2636 1.1241
No log 2.8354 224 1.1109 0.5970 1.1109 1.0540
No log 2.8608 226 1.1012 0.5865 1.1012 1.0494
No log 2.8861 228 1.1675 0.5802 1.1675 1.0805
No log 2.9114 230 1.1404 0.5692 1.1404 1.0679
No log 2.9367 232 1.1081 0.5846 1.1081 1.0527
No log 2.9620 234 1.1426 0.6015 1.1426 1.0689
No log 2.9873 236 1.2949 0.5455 1.2949 1.1380
No log 3.0127 238 1.3539 0.5113 1.3539 1.1636
No log 3.0380 240 1.2417 0.5714 1.2417 1.1143
No log 3.0633 242 1.0893 0.5821 1.0893 1.0437
No log 3.0886 244 0.9660 0.6316 0.9660 0.9828
No log 3.1139 246 0.9978 0.6154 0.9978 0.9989
No log 3.1392 248 1.1090 0.5758 1.1090 1.0531
No log 3.1646 250 1.2551 0.5714 1.2551 1.1203
No log 3.1899 252 1.1578 0.5802 1.1578 1.0760
No log 3.2152 254 0.9935 0.5645 0.9935 0.9968
No log 3.2405 256 0.9489 0.5484 0.9489 0.9741
No log 3.2658 258 0.9324 0.5484 0.9324 0.9656
No log 3.2911 260 0.9453 0.5938 0.9453 0.9723
No log 3.3165 262 0.9357 0.6047 0.9357 0.9673
No log 3.3418 264 0.9338 0.6107 0.9338 0.9663
No log 3.3671 266 1.1461 0.5714 1.1461 1.0706
No log 3.3924 268 1.5053 0.4380 1.5053 1.2269
No log 3.4177 270 1.5131 0.4444 1.5131 1.2301
No log 3.4430 272 1.2936 0.5385 1.2936 1.1374
No log 3.4684 274 1.1101 0.5714 1.1101 1.0536
No log 3.4937 276 1.1010 0.5484 1.1010 1.0493
No log 3.5190 278 1.0859 0.5827 1.0859 1.0421
No log 3.5443 280 1.0518 0.5938 1.0518 1.0256
No log 3.5696 282 0.9431 0.5827 0.9431 0.9711
No log 3.5949 284 0.8994 0.5984 0.8994 0.9484
No log 3.6203 286 0.9533 0.6047 0.9533 0.9764
No log 3.6456 288 1.0528 0.5954 1.0528 1.0260
No log 3.6709 290 1.1350 0.5802 1.1350 1.0654
No log 3.6962 292 1.1740 0.5736 1.1740 1.0835
No log 3.7215 294 1.1237 0.5167 1.1237 1.0600
No log 3.7468 296 1.0967 0.5128 1.0967 1.0473
No log 3.7722 298 1.1015 0.5128 1.1015 1.0495
No log 3.7975 300 1.0705 0.5128 1.0705 1.0346
No log 3.8228 302 1.0350 0.4483 1.0350 1.0173
No log 3.8481 304 0.9794 0.5128 0.9794 0.9896
No log 3.8734 306 0.9759 0.5645 0.9759 0.9879
No log 3.8987 308 1.1255 0.5692 1.1255 1.0609
No log 3.9241 310 1.1582 0.5758 1.1582 1.0762
No log 3.9494 312 1.0459 0.5692 1.0459 1.0227
No log 3.9747 314 0.9559 0.5760 0.9559 0.9777
No log 4.0 316 0.9656 0.5760 0.9656 0.9827
No log 4.0253 318 1.0292 0.5827 1.0292 1.0145
No log 4.0506 320 1.1180 0.5736 1.1180 1.0574
No log 4.0759 322 1.0465 0.5528 1.0465 1.0230
No log 4.1013 324 0.9705 0.5620 0.9705 0.9851
No log 4.1266 326 0.9286 0.5455 0.9286 0.9637
No log 4.1519 328 0.9339 0.5738 0.9339 0.9664
No log 4.1772 330 1.0059 0.5669 1.0059 1.0029
No log 4.2025 332 1.1670 0.5758 1.1670 1.0803
No log 4.2278 334 1.2049 0.5714 1.2049 1.0977
No log 4.2532 336 1.0898 0.5758 1.0898 1.0439
No log 4.2785 338 0.9059 0.5968 0.9059 0.9518
No log 4.3038 340 0.8798 0.6515 0.8798 0.9380
No log 4.3291 342 0.9165 0.6466 0.9165 0.9574
No log 4.3544 344 0.9388 0.5210 0.9388 0.9689
No log 4.3797 346 1.0451 0.5378 1.0451 1.0223
No log 4.4051 348 1.1668 0.5484 1.1668 1.0802
No log 4.4304 350 1.2081 0.5354 1.2081 1.0992
No log 4.4557 352 1.1283 0.5366 1.1283 1.0622
No log 4.4810 354 1.0414 0.5410 1.0414 1.0205
No log 4.5063 356 1.0012 0.5254 1.0012 1.0006
No log 4.5316 358 0.9772 0.5378 0.9772 0.9885
No log 4.5570 360 0.9456 0.5124 0.9456 0.9724
No log 4.5823 362 1.0056 0.5984 1.0056 1.0028
No log 4.6076 364 1.1934 0.5303 1.1934 1.0924
No log 4.6329 366 1.2023 0.5303 1.2023 1.0965
No log 4.6582 368 1.0865 0.5760 1.0865 1.0423
No log 4.6835 370 1.0581 0.5124 1.0581 1.0286
No log 4.7089 372 1.0615 0.5210 1.0615 1.0303
No log 4.7342 374 1.0752 0.5124 1.0752 1.0369
No log 4.7595 376 1.1281 0.5827 1.1281 1.0621
No log 4.7848 378 1.3282 0.5414 1.3282 1.1525
No log 4.8101 380 1.5128 0.4412 1.5128 1.2300
No log 4.8354 382 1.4049 0.4672 1.4049 1.1853
No log 4.8608 384 1.0900 0.5714 1.0900 1.0440
No log 4.8861 386 0.8507 0.6047 0.8507 0.9223
No log 4.9114 388 0.8294 0.6107 0.8294 0.9107
No log 4.9367 390 0.8322 0.6047 0.8322 0.9122
No log 4.9620 392 0.8716 0.5873 0.8716 0.9336
No log 4.9873 394 0.8844 0.5854 0.8844 0.9404
No log 5.0127 396 0.8968 0.6032 0.8968 0.9470
No log 5.0380 398 0.9676 0.5827 0.9676 0.9837
No log 5.0633 400 0.9830 0.6032 0.9830 0.9915
No log 5.0886 402 1.0185 0.5854 1.0185 1.0092
No log 5.1139 404 1.0848 0.5968 1.0848 1.0415
No log 5.1392 406 1.1812 0.5827 1.1812 1.0868
No log 5.1646 408 1.3537 0.4741 1.3537 1.1635
No log 5.1899 410 1.4220 0.4478 1.4220 1.1925
No log 5.2152 412 1.3410 0.5 1.3410 1.1580
No log 5.2405 414 1.1471 0.5581 1.1471 1.0710
No log 5.2658 416 1.0060 0.6032 1.0060 1.0030
No log 5.2911 418 0.9588 0.6202 0.9588 0.9792
No log 5.3165 420 0.9876 0.6032 0.9876 0.9938
No log 5.3418 422 1.0353 0.5802 1.0353 1.0175
No log 5.3671 424 1.1918 0.5606 1.1918 1.0917
No log 5.3924 426 1.2943 0.5714 1.2943 1.1377
No log 5.4177 428 1.2754 0.5714 1.2754 1.1293
No log 5.4430 430 1.1311 0.5821 1.1311 1.0635
No log 5.4684 432 0.9175 0.5891 0.9175 0.9579
No log 5.4937 434 0.8590 0.5891 0.8590 0.9268
No log 5.5190 436 0.8523 0.6357 0.8523 0.9232
No log 5.5443 438 0.8698 0.6406 0.8698 0.9326
No log 5.5696 440 0.9156 0.608 0.9156 0.9569
No log 5.5949 442 1.0087 0.5984 1.0087 1.0044
No log 5.6203 444 1.0145 0.5984 1.0145 1.0072
No log 5.6456 446 1.0025 0.5984 1.0025 1.0012
No log 5.6709 448 1.0153 0.5984 1.0153 1.0076
No log 5.6962 450 0.9792 0.6032 0.9792 0.9895
No log 5.7215 452 1.0149 0.5984 1.0149 1.0074
No log 5.7468 454 1.1140 0.5984 1.1140 1.0555
No log 5.7722 456 1.2044 0.5781 1.2044 1.0975
No log 5.7975 458 1.2580 0.5538 1.2580 1.1216
No log 5.8228 460 1.2577 0.5538 1.2577 1.1215
No log 5.8481 462 1.1725 0.5736 1.1725 1.0828
No log 5.8734 464 1.1139 0.5781 1.1139 1.0554
No log 5.8987 466 1.0951 0.5512 1.0951 1.0465
No log 5.9241 468 1.1056 0.5781 1.1056 1.0515
No log 5.9494 470 1.1924 0.5538 1.1924 1.0920
No log 5.9747 472 1.2404 0.5538 1.2404 1.1137
No log 6.0 474 1.1882 0.56 1.1882 1.0900
No log 6.0253 476 1.1320 0.5620 1.1320 1.0640
No log 6.0506 478 1.1050 0.5378 1.1050 1.0512
No log 6.0759 480 1.0978 0.5254 1.0978 1.0478
No log 6.1013 482 1.1021 0.5378 1.1021 1.0498
No log 6.1266 484 1.1305 0.5691 1.1305 1.0633
No log 6.1519 486 1.1694 0.5691 1.1694 1.0814
No log 6.1772 488 1.2018 0.4348 1.2018 1.0963
No log 6.2025 490 1.2082 0.4211 1.2082 1.0992
No log 6.2278 492 1.1477 0.4655 1.1477 1.0713
No log 6.2532 494 1.1392 0.5760 1.1392 1.0673
No log 6.2785 496 1.2048 0.5581 1.2048 1.0977
No log 6.3038 498 1.2763 0.5692 1.2763 1.1297
0.4342 6.3291 500 1.2122 0.5968 1.2122 1.1010
0.4342 6.3544 502 1.1714 0.5574 1.1714 1.0823
0.4342 6.3797 504 1.1068 0.5620 1.1068 1.0520
0.4342 6.4051 506 1.0869 0.5210 1.0869 1.0425
0.4342 6.4304 508 1.0615 0.4915 1.0615 1.0303
0.4342 6.4557 510 1.0733 0.4174 1.0733 1.0360

Framework versions

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