ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k11_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: 1.1831
  • Qwk: 0.4294
  • Mse: 1.1831
  • Rmse: 1.0877

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: 10

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0351 2 4.1693 -0.0066 4.1693 2.0419
No log 0.0702 4 2.7716 0.0720 2.7716 1.6648
No log 0.1053 6 1.2686 0.0641 1.2686 1.1263
No log 0.1404 8 1.0359 0.0351 1.0359 1.0178
No log 0.1754 10 1.3372 0.0206 1.3372 1.1564
No log 0.2105 12 0.8551 -0.0107 0.8551 0.9247
No log 0.2456 14 0.7208 0.1777 0.7208 0.8490
No log 0.2807 16 0.8295 0.1442 0.8295 0.9108
No log 0.3158 18 0.9106 0.0918 0.9106 0.9543
No log 0.3509 20 0.8742 0.1063 0.8742 0.9350
No log 0.3860 22 0.7810 0.1352 0.7810 0.8837
No log 0.4211 24 0.7225 0.1546 0.7225 0.8500
No log 0.4561 26 0.7001 0.1649 0.7001 0.8367
No log 0.4912 28 0.8056 0.1465 0.8056 0.8976
No log 0.5263 30 0.9259 0.0828 0.9259 0.9622
No log 0.5614 32 1.0228 0.1773 1.0228 1.0113
No log 0.5965 34 1.0042 0.3355 1.0042 1.0021
No log 0.6316 36 0.7232 0.3498 0.7232 0.8504
No log 0.6667 38 0.6594 0.3710 0.6594 0.8120
No log 0.7018 40 0.7222 0.3764 0.7222 0.8498
No log 0.7368 42 1.0563 0.2825 1.0563 1.0278
No log 0.7719 44 1.0823 0.3064 1.0823 1.0403
No log 0.8070 46 0.9309 0.3235 0.9309 0.9649
No log 0.8421 48 0.8567 0.3377 0.8567 0.9256
No log 0.8772 50 0.7585 0.3437 0.7585 0.8709
No log 0.9123 52 0.8124 0.3665 0.8124 0.9014
No log 0.9474 54 0.9850 0.3356 0.9850 0.9925
No log 0.9825 56 0.9808 0.3413 0.9808 0.9904
No log 1.0175 58 0.7973 0.3504 0.7973 0.8929
No log 1.0526 60 0.6689 0.4296 0.6689 0.8179
No log 1.0877 62 0.6582 0.4674 0.6582 0.8113
No log 1.1228 64 0.6972 0.4621 0.6972 0.8350
No log 1.1579 66 0.7633 0.3808 0.7633 0.8737
No log 1.1930 68 0.9384 0.3927 0.9384 0.9687
No log 1.2281 70 1.3455 0.3511 1.3455 1.1599
No log 1.2632 72 1.6921 0.2856 1.6921 1.3008
No log 1.2982 74 1.5345 0.3332 1.5345 1.2388
No log 1.3333 76 1.0104 0.4300 1.0104 1.0052
No log 1.3684 78 0.9149 0.5032 0.9149 0.9565
No log 1.4035 80 0.9815 0.4798 0.9815 0.9907
No log 1.4386 82 1.2106 0.3769 1.2106 1.1003
No log 1.4737 84 1.7083 0.3008 1.7083 1.3070
No log 1.5088 86 1.8544 0.3080 1.8544 1.3618
No log 1.5439 88 1.5446 0.3332 1.5446 1.2428
No log 1.5789 90 1.1217 0.4081 1.1217 1.0591
No log 1.6140 92 1.0610 0.4409 1.0610 1.0301
No log 1.6491 94 1.1696 0.3813 1.1696 1.0815
No log 1.6842 96 1.5554 0.3794 1.5554 1.2472
No log 1.7193 98 1.8133 0.3517 1.8133 1.3466
No log 1.7544 100 1.4910 0.3895 1.4910 1.2211
No log 1.7895 102 1.1786 0.3963 1.1786 1.0856
No log 1.8246 104 0.8909 0.5436 0.8909 0.9439
No log 1.8596 106 0.8372 0.4952 0.8372 0.9150
No log 1.8947 108 0.9132 0.4810 0.9132 0.9556
No log 1.9298 110 1.0096 0.4879 1.0096 1.0048
No log 1.9649 112 1.1038 0.4944 1.1038 1.0506
No log 2.0 114 1.2008 0.4012 1.2008 1.0958
No log 2.0351 116 1.1386 0.4105 1.1386 1.0671
No log 2.0702 118 1.1120 0.3516 1.1120 1.0545
No log 2.1053 120 1.1256 0.3644 1.1256 1.0610
No log 2.1404 122 1.2140 0.3796 1.2140 1.1018
No log 2.1754 124 1.2963 0.4129 1.2963 1.1386
No log 2.2105 126 1.3947 0.3475 1.3947 1.1810
No log 2.2456 128 1.2677 0.3851 1.2677 1.1259
No log 2.2807 130 1.3141 0.3732 1.3141 1.1464
No log 2.3158 132 1.2747 0.3774 1.2747 1.1290
No log 2.3509 134 1.0799 0.3775 1.0799 1.0392
No log 2.3860 136 1.1515 0.3672 1.1515 1.0731
No log 2.4211 138 1.2429 0.3751 1.2429 1.1149
No log 2.4561 140 1.0733 0.3839 1.0733 1.0360
No log 2.4912 142 1.1009 0.3907 1.1009 1.0492
No log 2.5263 144 1.2054 0.3622 1.2054 1.0979
No log 2.5614 146 1.2817 0.3669 1.2817 1.1321
No log 2.5965 148 1.3015 0.4034 1.3015 1.1408
No log 2.6316 150 1.3742 0.4062 1.3742 1.1723
No log 2.6667 152 1.5338 0.4030 1.5338 1.2385
No log 2.7018 154 1.4520 0.4070 1.4520 1.2050
No log 2.7368 156 1.3269 0.4189 1.3269 1.1519
No log 2.7719 158 1.0989 0.4243 1.0989 1.0483
No log 2.8070 160 1.0599 0.4369 1.0599 1.0295
No log 2.8421 162 0.9744 0.4575 0.9744 0.9871
No log 2.8772 164 0.9612 0.4460 0.9612 0.9804
No log 2.9123 166 0.9020 0.4270 0.9020 0.9497
No log 2.9474 168 0.8989 0.4320 0.8989 0.9481
No log 2.9825 170 0.8816 0.4374 0.8816 0.9389
No log 3.0175 172 0.8940 0.4238 0.8940 0.9455
No log 3.0526 174 0.8827 0.4515 0.8827 0.9395
No log 3.0877 176 1.0036 0.4017 1.0036 1.0018
No log 3.1228 178 1.2147 0.4194 1.2147 1.1022
No log 3.1579 180 1.3439 0.3923 1.3439 1.1593
No log 3.1930 182 1.3521 0.4053 1.3521 1.1628
No log 3.2281 184 1.1472 0.4135 1.1472 1.0711
No log 3.2632 186 0.9309 0.4717 0.9309 0.9648
No log 3.2982 188 0.8170 0.4521 0.8170 0.9039
No log 3.3333 190 0.8320 0.4648 0.8320 0.9121
No log 3.3684 192 0.9389 0.4651 0.9389 0.9690
No log 3.4035 194 1.0876 0.4489 1.0876 1.0429
No log 3.4386 196 1.1373 0.4396 1.1373 1.0665
No log 3.4737 198 1.0386 0.4514 1.0386 1.0191
No log 3.5088 200 0.9595 0.4657 0.9595 0.9795
No log 3.5439 202 0.9956 0.4823 0.9956 0.9978
No log 3.5789 204 1.0054 0.4823 1.0054 1.0027
No log 3.6140 206 1.0494 0.4752 1.0494 1.0244
No log 3.6491 208 1.0723 0.4886 1.0723 1.0355
No log 3.6842 210 1.2441 0.4561 1.2441 1.1154
No log 3.7193 212 1.5363 0.3589 1.5363 1.2395
No log 3.7544 214 1.7830 0.3719 1.7830 1.3353
No log 3.7895 216 1.8672 0.3361 1.8672 1.3665
No log 3.8246 218 1.5948 0.3415 1.5948 1.2629
No log 3.8596 220 1.4123 0.3614 1.4123 1.1884
No log 3.8947 222 1.3368 0.3679 1.3368 1.1562
No log 3.9298 224 1.1922 0.3913 1.1922 1.0919
No log 3.9649 226 1.1497 0.3912 1.1497 1.0722
No log 4.0 228 1.1047 0.3889 1.1047 1.0511
No log 4.0351 230 1.1883 0.3939 1.1883 1.0901
No log 4.0702 232 1.3442 0.3328 1.3442 1.1594
No log 4.1053 234 1.3741 0.3342 1.3741 1.1722
No log 4.1404 236 1.2081 0.3617 1.2081 1.0991
No log 4.1754 238 0.9886 0.4298 0.9886 0.9943
No log 4.2105 240 0.8594 0.4591 0.8594 0.9271
No log 4.2456 242 0.8817 0.4402 0.8817 0.9390
No log 4.2807 244 0.9322 0.4244 0.9322 0.9655
No log 4.3158 246 1.1048 0.4399 1.1048 1.0511
No log 4.3509 248 1.2378 0.3881 1.2378 1.1126
No log 4.3860 250 1.2500 0.3904 1.2500 1.1181
No log 4.4211 252 1.2239 0.3960 1.2239 1.1063
No log 4.4561 254 1.1672 0.4133 1.1672 1.0804
No log 4.4912 256 1.0606 0.4162 1.0606 1.0299
No log 4.5263 258 0.9501 0.4409 0.9501 0.9747
No log 4.5614 260 0.9837 0.4440 0.9837 0.9918
No log 4.5965 262 1.1332 0.4183 1.1332 1.0645
No log 4.6316 264 1.4236 0.3713 1.4236 1.1931
No log 4.6667 266 1.6018 0.3235 1.6018 1.2656
No log 4.7018 268 1.6218 0.3243 1.6218 1.2735
No log 4.7368 270 1.4662 0.3694 1.4662 1.2109
No log 4.7719 272 1.2722 0.3940 1.2722 1.1279
No log 4.8070 274 1.2401 0.3975 1.2401 1.1136
No log 4.8421 276 1.2937 0.3940 1.2937 1.1374
No log 4.8772 278 1.4493 0.3784 1.4493 1.2039
No log 4.9123 280 1.7388 0.3395 1.7388 1.3186
No log 4.9474 282 1.8315 0.3078 1.8315 1.3533
No log 4.9825 284 1.6460 0.375 1.6460 1.2830
No log 5.0175 286 1.3479 0.4027 1.3479 1.1610
No log 5.0526 288 1.1807 0.4325 1.1807 1.0866
No log 5.0877 290 1.1387 0.4327 1.1387 1.0671
No log 5.1228 292 1.1702 0.4407 1.1702 1.0818
No log 5.1579 294 1.1475 0.4269 1.1475 1.0712
No log 5.1930 296 1.1820 0.4226 1.1820 1.0872
No log 5.2281 298 1.3011 0.3775 1.3011 1.1407
No log 5.2632 300 1.4090 0.3493 1.4090 1.1870
No log 5.2982 302 1.5208 0.3084 1.5208 1.2332
No log 5.3333 304 1.4595 0.3113 1.4595 1.2081
No log 5.3684 306 1.2472 0.3394 1.2472 1.1168
No log 5.4035 308 1.0557 0.4211 1.0557 1.0275
No log 5.4386 310 0.9948 0.4319 0.9948 0.9974
No log 5.4737 312 1.0314 0.4219 1.0314 1.0156
No log 5.5088 314 1.1684 0.4105 1.1684 1.0809
No log 5.5439 316 1.4058 0.3487 1.4058 1.1857
No log 5.5789 318 1.6576 0.3130 1.6576 1.2875
No log 5.6140 320 1.7006 0.2991 1.7006 1.3041
No log 5.6491 322 1.5730 0.3261 1.5730 1.2542
No log 5.6842 324 1.3303 0.3705 1.3303 1.1534
No log 5.7193 326 1.2134 0.3746 1.2134 1.1016
No log 5.7544 328 1.1789 0.3740 1.1789 1.0858
No log 5.7895 330 1.2610 0.3869 1.2610 1.1229
No log 5.8246 332 1.4187 0.3563 1.4187 1.1911
No log 5.8596 334 1.6024 0.3390 1.6024 1.2659
No log 5.8947 336 1.7468 0.3219 1.7468 1.3217
No log 5.9298 338 1.6479 0.3262 1.6479 1.2837
No log 5.9649 340 1.3877 0.3576 1.3877 1.1780
No log 6.0 342 1.1114 0.4127 1.1114 1.0543
No log 6.0351 344 0.9954 0.4427 0.9954 0.9977
No log 6.0702 346 0.9568 0.4267 0.9568 0.9781
No log 6.1053 348 0.9802 0.4453 0.9802 0.9900
No log 6.1404 350 1.0240 0.4012 1.0240 1.0119
No log 6.1754 352 1.0873 0.3932 1.0873 1.0427
No log 6.2105 354 1.1938 0.3614 1.1938 1.0926
No log 6.2456 356 1.2188 0.3620 1.2188 1.1040
No log 6.2807 358 1.2892 0.3752 1.2892 1.1354
No log 6.3158 360 1.2863 0.3902 1.2863 1.1341
No log 6.3509 362 1.1774 0.4311 1.1774 1.0851
No log 6.3860 364 1.0408 0.4129 1.0408 1.0202
No log 6.4211 366 1.0154 0.3842 1.0154 1.0077
No log 6.4561 368 1.0327 0.3888 1.0327 1.0162
No log 6.4912 370 1.1025 0.4344 1.1025 1.0500
No log 6.5263 372 1.2170 0.4295 1.2170 1.1032
No log 6.5614 374 1.3051 0.3929 1.3051 1.1424
No log 6.5965 376 1.3253 0.3924 1.3253 1.1512
No log 6.6316 378 1.2334 0.4223 1.2334 1.1106
No log 6.6667 380 1.1601 0.4097 1.1601 1.0771
No log 6.7018 382 1.1460 0.4031 1.1460 1.0705
No log 6.7368 384 1.1193 0.4031 1.1193 1.0580
No log 6.7719 386 1.1443 0.4311 1.1443 1.0697
No log 6.8070 388 1.2306 0.4133 1.2306 1.1093
No log 6.8421 390 1.3555 0.3543 1.3555 1.1642
No log 6.8772 392 1.3613 0.3454 1.3613 1.1668
No log 6.9123 394 1.3617 0.3454 1.3617 1.1669
No log 6.9474 396 1.2518 0.4133 1.2518 1.1188
No log 6.9825 398 1.1509 0.4511 1.1509 1.0728
No log 7.0175 400 1.0777 0.4513 1.0777 1.0381
No log 7.0526 402 0.9918 0.3990 0.9918 0.9959
No log 7.0877 404 0.9286 0.4581 0.9286 0.9636
No log 7.1228 406 0.9111 0.4584 0.9111 0.9545
No log 7.1579 408 0.9416 0.4368 0.9416 0.9704
No log 7.1930 410 1.0266 0.4394 1.0266 1.0132
No log 7.2281 412 1.1627 0.4279 1.1627 1.0783
No log 7.2632 414 1.2507 0.3979 1.2507 1.1183
No log 7.2982 416 1.2250 0.4077 1.2250 1.1068
No log 7.3333 418 1.1577 0.4217 1.1577 1.0760
No log 7.3684 420 1.0849 0.4264 1.0849 1.0416
No log 7.4035 422 1.0241 0.4090 1.0241 1.0120
No log 7.4386 424 1.0002 0.4088 1.0002 1.0001
No log 7.4737 426 1.0217 0.4088 1.0217 1.0108
No log 7.5088 428 1.0784 0.4266 1.0784 1.0384
No log 7.5439 430 1.1231 0.4310 1.1231 1.0598
No log 7.5789 432 1.1620 0.4309 1.1620 1.0780
No log 7.6140 434 1.1691 0.4410 1.1691 1.0813
No log 7.6491 436 1.1842 0.4307 1.1842 1.0882
No log 7.6842 438 1.2330 0.3958 1.2330 1.1104
No log 7.7193 440 1.2381 0.3999 1.2381 1.1127
No log 7.7544 442 1.1890 0.4036 1.1890 1.0904
No log 7.7895 444 1.0843 0.4218 1.0843 1.0413
No log 7.8246 446 1.0231 0.4264 1.0231 1.0115
No log 7.8596 448 0.9819 0.4329 0.9819 0.9909
No log 7.8947 450 0.9942 0.4329 0.9942 0.9971
No log 7.9298 452 1.0454 0.4311 1.0454 1.0224
No log 7.9649 454 1.1022 0.4156 1.1022 1.0498
No log 8.0 456 1.1326 0.4218 1.1326 1.0642
No log 8.0351 458 1.1210 0.4234 1.1210 1.0588
No log 8.0702 460 1.0876 0.4416 1.0876 1.0429
No log 8.1053 462 1.0633 0.4660 1.0633 1.0312
No log 8.1404 464 1.0809 0.4509 1.0809 1.0397
No log 8.1754 466 1.1084 0.4659 1.1084 1.0528
No log 8.2105 468 1.1500 0.4491 1.1500 1.0724
No log 8.2456 470 1.1867 0.4085 1.1867 1.0894
No log 8.2807 472 1.1813 0.4085 1.1813 1.0869
No log 8.3158 474 1.1655 0.4322 1.1655 1.0796
No log 8.3509 476 1.1578 0.4322 1.1578 1.0760
No log 8.3860 478 1.1421 0.4367 1.1421 1.0687
No log 8.4211 480 1.1344 0.4353 1.1344 1.0651
No log 8.4561 482 1.1020 0.4459 1.1020 1.0498
No log 8.4912 484 1.0933 0.4402 1.0933 1.0456
No log 8.5263 486 1.1148 0.4354 1.1148 1.0558
No log 8.5614 488 1.1524 0.4175 1.1524 1.0735
No log 8.5965 490 1.1605 0.4175 1.1605 1.0772
No log 8.6316 492 1.1663 0.4219 1.1663 1.0800
No log 8.6667 494 1.1598 0.4158 1.1598 1.0769
No log 8.7018 496 1.1361 0.4158 1.1361 1.0659
No log 8.7368 498 1.1197 0.4234 1.1197 1.0581
0.4275 8.7719 500 1.1141 0.4234 1.1141 1.0555
0.4275 8.8070 502 1.1291 0.4234 1.1291 1.0626
0.4275 8.8421 504 1.1317 0.4234 1.1317 1.0638
0.4275 8.8772 506 1.1548 0.4158 1.1548 1.0746
0.4275 8.9123 508 1.1547 0.4158 1.1547 1.0746
0.4275 8.9474 510 1.1469 0.4218 1.1469 1.0709
0.4275 8.9825 512 1.1649 0.4158 1.1649 1.0793
0.4275 9.0175 514 1.1737 0.4158 1.1737 1.0834
0.4275 9.0526 516 1.1585 0.4158 1.1585 1.0763
0.4275 9.0877 518 1.1234 0.4279 1.1234 1.0599
0.4275 9.1228 520 1.0872 0.4280 1.0872 1.0427
0.4275 9.1579 522 1.0478 0.4329 1.0478 1.0236
0.4275 9.1930 524 1.0202 0.4331 1.0202 1.0100
0.4275 9.2281 526 1.0078 0.4166 1.0078 1.0039
0.4275 9.2632 528 1.0132 0.4166 1.0132 1.0066
0.4275 9.2982 530 1.0328 0.4394 1.0328 1.0162
0.4275 9.3333 532 1.0655 0.4343 1.0655 1.0322
0.4275 9.3684 534 1.0976 0.4340 1.0976 1.0477
0.4275 9.4035 536 1.1210 0.4340 1.1210 1.0588
0.4275 9.4386 538 1.1505 0.4294 1.1505 1.0726
0.4275 9.4737 540 1.1833 0.4294 1.1833 1.0878
0.4275 9.5088 542 1.2161 0.3992 1.2161 1.1028
0.4275 9.5439 544 1.2292 0.3857 1.2292 1.1087
0.4275 9.5789 546 1.2269 0.3857 1.2269 1.1076
0.4275 9.6140 548 1.2183 0.3914 1.2183 1.1038
0.4275 9.6491 550 1.2098 0.3914 1.2098 1.0999
0.4275 9.6842 552 1.2056 0.3914 1.2056 1.0980
0.4275 9.7193 554 1.2055 0.3914 1.2055 1.0980
0.4275 9.7544 556 1.2040 0.3914 1.2040 1.0973
0.4275 9.7895 558 1.2029 0.3914 1.2029 1.0968
0.4275 9.8246 560 1.1983 0.395 1.1983 1.0947
0.4275 9.8596 562 1.1926 0.4294 1.1926 1.0921
0.4275 9.8947 564 1.1892 0.4294 1.1892 1.0905
0.4275 9.9298 566 1.1854 0.4294 1.1854 1.0887
0.4275 9.9649 568 1.1835 0.4294 1.1835 1.0879
0.4275 10.0 570 1.1831 0.4294 1.1831 1.0877

Framework versions

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