ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task3_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: 0.4598
  • Qwk: 0.4536
  • Mse: 0.4598
  • Rmse: 0.6781

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 0.0328 2 3.4817 -0.0066 3.4817 1.8659
No log 0.0656 4 1.7809 -0.0070 1.7809 1.3345
No log 0.0984 6 1.2499 0.0294 1.2499 1.1180
No log 0.1311 8 0.7278 0.0877 0.7278 0.8531
No log 0.1639 10 0.5922 0.0569 0.5922 0.7695
No log 0.1967 12 0.6267 0.0556 0.6267 0.7917
No log 0.2295 14 1.3841 0.0571 1.3841 1.1765
No log 0.2623 16 1.4961 0.0530 1.4961 1.2231
No log 0.2951 18 1.0130 0.0345 1.0130 1.0065
No log 0.3279 20 0.6682 0.2970 0.6682 0.8174
No log 0.3607 22 0.6324 0.0 0.6324 0.7952
No log 0.3934 24 0.6134 0.0 0.6134 0.7832
No log 0.4262 26 0.5538 0.0 0.5538 0.7442
No log 0.4590 28 0.5810 0.0569 0.5810 0.7622
No log 0.4918 30 0.7427 0.1289 0.7427 0.8618
No log 0.5246 32 1.0811 0.0345 1.0811 1.0398
No log 0.5574 34 1.9357 0.0130 1.9357 1.3913
No log 0.5902 36 1.5936 0.0255 1.5936 1.2624
No log 0.6230 38 0.8366 0.0947 0.8366 0.9147
No log 0.6557 40 0.5621 0.0 0.5621 0.7497
No log 0.6885 42 0.5743 0.0 0.5743 0.7578
No log 0.7213 44 0.6108 0.0 0.6108 0.7815
No log 0.7541 46 0.6148 0.1884 0.6148 0.7841
No log 0.7869 48 0.6416 0.3778 0.6416 0.8010
No log 0.8197 50 0.7271 0.2208 0.7271 0.8527
No log 0.8525 52 0.6944 0.3242 0.6944 0.8333
No log 0.8852 54 0.9028 0.1870 0.9028 0.9502
No log 0.9180 56 0.7058 0.3607 0.7058 0.8401
No log 0.9508 58 0.5607 0.3684 0.5607 0.7488
No log 0.9836 60 0.5800 0.3978 0.5800 0.7616
No log 1.0164 62 0.5578 0.3778 0.5578 0.7469
No log 1.0492 64 0.7610 0.2281 0.7610 0.8723
No log 1.0820 66 0.8670 0.2000 0.8670 0.9312
No log 1.1148 68 0.6853 0.2593 0.6853 0.8278
No log 1.1475 70 0.5524 0.2418 0.5524 0.7432
No log 1.1803 72 0.5795 0.2201 0.5795 0.7612
No log 1.2131 74 0.7120 0.2511 0.7120 0.8438
No log 1.2459 76 0.6703 0.3143 0.6703 0.8187
No log 1.2787 78 0.5369 0.2533 0.5369 0.7328
No log 1.3115 80 0.7049 0.2762 0.7049 0.8396
No log 1.3443 82 1.1540 0.0571 1.1540 1.0743
No log 1.3770 84 0.8168 0.3021 0.8168 0.9037
No log 1.4098 86 0.5969 0.1111 0.5969 0.7726
No log 1.4426 88 0.6122 0.2000 0.6122 0.7825
No log 1.4754 90 0.6471 0.2766 0.6471 0.8044
No log 1.5082 92 0.8531 0.2184 0.8531 0.9237
No log 1.5410 94 0.6763 0.1705 0.6763 0.8224
No log 1.5738 96 0.5742 0.3757 0.5742 0.7578
No log 1.6066 98 0.6765 0.2577 0.6765 0.8225
No log 1.6393 100 0.5091 0.3086 0.5091 0.7135
No log 1.6721 102 0.7683 0.2222 0.7683 0.8765
No log 1.7049 104 0.6296 0.2688 0.6296 0.7935
No log 1.7377 106 0.5034 0.2105 0.5034 0.7095
No log 1.7705 108 0.5106 0.2105 0.5106 0.7146
No log 1.8033 110 0.5819 0.3216 0.5819 0.7628
No log 1.8361 112 0.8530 0.1934 0.8530 0.9236
No log 1.8689 114 0.7430 0.2000 0.7430 0.8620
No log 1.9016 116 0.4821 0.1329 0.4821 0.6943
No log 1.9344 118 0.7775 0.2681 0.7775 0.8817
No log 1.9672 120 0.8698 0.2653 0.8698 0.9326
No log 2.0 122 0.5849 0.3488 0.5849 0.7648
No log 2.0328 124 0.4895 0.1141 0.4895 0.6997
No log 2.0656 126 0.5340 0.3659 0.5340 0.7308
No log 2.0984 128 0.5956 0.3297 0.5956 0.7718
No log 2.1311 130 0.5238 0.1899 0.5238 0.7237
No log 2.1639 132 0.5729 0.3533 0.5729 0.7569
No log 2.1967 134 0.5316 0.2663 0.5316 0.7291
No log 2.2295 136 0.6007 0.2917 0.6007 0.7751
No log 2.2623 138 0.5871 0.2350 0.5871 0.7662
No log 2.2951 140 0.5491 0.2558 0.5491 0.7410
No log 2.3279 142 0.5303 0.2795 0.5303 0.7282
No log 2.3607 144 0.5291 0.2350 0.5291 0.7274
No log 2.3934 146 0.4905 0.3103 0.4905 0.7004
No log 2.4262 148 0.4741 0.3591 0.4741 0.6885
No log 2.4590 150 0.5017 0.4682 0.5017 0.7083
No log 2.4918 152 0.4721 0.3295 0.4721 0.6871
No log 2.5246 154 0.5161 0.2917 0.5161 0.7184
No log 2.5574 156 0.5173 0.4872 0.5173 0.7192
No log 2.5902 158 0.6608 0.4439 0.6608 0.8129
No log 2.6230 160 0.5538 0.48 0.5538 0.7442
No log 2.6557 162 0.5874 0.3982 0.5874 0.7664
No log 2.6885 164 0.6162 0.3886 0.6162 0.7850
No log 2.7213 166 0.5125 0.3333 0.5125 0.7159
No log 2.7541 168 0.5198 0.3191 0.5198 0.7209
No log 2.7869 170 0.5784 0.4167 0.5784 0.7605
No log 2.8197 172 0.5619 0.3469 0.5619 0.7496
No log 2.8525 174 0.5568 0.3913 0.5568 0.7462
No log 2.8852 176 0.5379 0.4023 0.5379 0.7334
No log 2.9180 178 0.5168 0.3258 0.5168 0.7189
No log 2.9508 180 0.5484 0.3224 0.5484 0.7406
No log 2.9836 182 0.5068 0.3149 0.5068 0.7119
No log 3.0164 184 0.5139 0.3149 0.5139 0.7169
No log 3.0492 186 0.5458 0.2967 0.5458 0.7388
No log 3.0820 188 0.5516 0.3636 0.5516 0.7427
No log 3.1148 190 0.5811 0.3371 0.5811 0.7623
No log 3.1475 192 0.5813 0.3371 0.5813 0.7624
No log 3.1803 194 0.6103 0.3371 0.6103 0.7812
No log 3.2131 196 0.7484 0.3043 0.7484 0.8651
No log 3.2459 198 0.6197 0.3412 0.6197 0.7872
No log 3.2787 200 0.5967 0.2189 0.5967 0.7724
No log 3.3115 202 0.7016 0.2746 0.7016 0.8376
No log 3.3443 204 0.6424 0.3231 0.6424 0.8015
No log 3.3770 206 0.5772 0.3000 0.5772 0.7598
No log 3.4098 208 0.5538 0.2707 0.5538 0.7442
No log 3.4426 210 0.5375 0.2471 0.5375 0.7331
No log 3.4754 212 0.5875 0.3295 0.5875 0.7665
No log 3.5082 214 0.5149 0.3418 0.5149 0.7176
No log 3.5410 216 0.6055 0.2986 0.6055 0.7781
No log 3.5738 218 0.5127 0.3171 0.5127 0.7161
No log 3.6066 220 0.4825 0.4074 0.4825 0.6946
No log 3.6393 222 0.5364 0.2485 0.5364 0.7324
No log 3.6721 224 0.5696 0.2444 0.5696 0.7547
No log 3.7049 226 0.5208 0.3000 0.5208 0.7216
No log 3.7377 228 0.5064 0.4286 0.5064 0.7116
No log 3.7705 230 0.6872 0.28 0.6872 0.8290
No log 3.8033 232 0.6749 0.2990 0.6749 0.8215
No log 3.8361 234 0.5281 0.3898 0.5281 0.7267
No log 3.8689 236 0.7272 0.3514 0.7272 0.8528
No log 3.9016 238 0.6082 0.36 0.6082 0.7799
No log 3.9344 240 0.4863 0.3054 0.4863 0.6974
No log 3.9672 242 0.5834 0.3299 0.5834 0.7638
No log 4.0 244 0.5033 0.3103 0.5033 0.7094
No log 4.0328 246 0.4363 0.3377 0.4363 0.6605
No log 4.0656 248 0.4328 0.3377 0.4328 0.6579
No log 4.0984 250 0.4327 0.2941 0.4327 0.6578
No log 4.1311 252 0.4798 0.3086 0.4798 0.6927
No log 4.1639 254 0.4712 0.3333 0.4712 0.6864
No log 4.1967 256 0.4708 0.4227 0.4708 0.6861
No log 4.2295 258 0.4791 0.3927 0.4791 0.6922
No log 4.2623 260 0.4793 0.3412 0.4793 0.6923
No log 4.2951 262 0.5222 0.4105 0.5222 0.7226
No log 4.3279 264 0.4540 0.3374 0.4540 0.6738
No log 4.3607 266 0.4620 0.3846 0.4620 0.6797
No log 4.3934 268 0.4657 0.4917 0.4657 0.6824
No log 4.4262 270 0.4946 0.3778 0.4946 0.7033
No log 4.4590 272 0.5850 0.36 0.5850 0.7648
No log 4.4918 274 0.4994 0.3295 0.4994 0.7067
No log 4.5246 276 0.4787 0.3136 0.4787 0.6919
No log 4.5574 278 0.4827 0.3374 0.4827 0.6947
No log 4.5902 280 0.5165 0.2941 0.5165 0.7187
No log 4.6230 282 0.4857 0.3374 0.4857 0.6969
No log 4.6557 284 0.4874 0.3374 0.4874 0.6982
No log 4.6885 286 0.4876 0.3374 0.4876 0.6983
No log 4.7213 288 0.5362 0.4227 0.5362 0.7323
No log 4.7541 290 0.5915 0.4343 0.5915 0.7691
No log 4.7869 292 0.5041 0.2809 0.5041 0.7100
No log 4.8197 294 0.5801 0.3778 0.5801 0.7617
No log 4.8525 296 0.5877 0.3778 0.5877 0.7666
No log 4.8852 298 0.5144 0.2889 0.5144 0.7172
No log 4.9180 300 0.6045 0.4118 0.6045 0.7775
No log 4.9508 302 0.5585 0.3641 0.5585 0.7473
No log 4.9836 304 0.5402 0.2865 0.5402 0.7350
No log 5.0164 306 0.5393 0.2670 0.5393 0.7344
No log 5.0492 308 0.5444 0.3520 0.5444 0.7378
No log 5.0820 310 0.5924 0.2889 0.5924 0.7697
No log 5.1148 312 0.5468 0.3182 0.5468 0.7394
No log 5.1475 314 0.5217 0.3966 0.5217 0.7223
No log 5.1803 316 0.5588 0.4563 0.5588 0.7475
No log 5.2131 318 0.4922 0.3966 0.4922 0.7015
No log 5.2459 320 0.4931 0.3913 0.4931 0.7022
No log 5.2787 322 0.5215 0.3829 0.5215 0.7221
No log 5.3115 324 0.4680 0.4884 0.4680 0.6841
No log 5.3443 326 0.5945 0.3769 0.5945 0.7710
No log 5.3770 328 0.7647 0.2548 0.7647 0.8745
No log 5.4098 330 0.6925 0.2566 0.6925 0.8322
No log 5.4426 332 0.5003 0.4222 0.5003 0.7073
No log 5.4754 334 0.4778 0.4 0.4778 0.6913
No log 5.5082 336 0.4851 0.3580 0.4851 0.6965
No log 5.5410 338 0.4883 0.3533 0.4883 0.6988
No log 5.5738 340 0.4561 0.2432 0.4561 0.6753
No log 5.6066 342 0.4755 0.3631 0.4755 0.6896
No log 5.6393 344 0.5807 0.4098 0.5807 0.7620
No log 5.6721 346 0.6192 0.3498 0.6192 0.7869
No log 5.7049 348 0.5242 0.3846 0.5242 0.7240
No log 5.7377 350 0.4609 0.2432 0.4609 0.6789
No log 5.7705 352 0.4606 0.3548 0.4606 0.6787
No log 5.8033 354 0.4655 0.3548 0.4655 0.6823
No log 5.8361 356 0.4693 0.2848 0.4693 0.6851
No log 5.8689 358 0.5269 0.2273 0.5269 0.7259
No log 5.9016 360 0.5205 0.2914 0.5205 0.7214
No log 5.9344 362 0.4695 0.2941 0.4695 0.6852
No log 5.9672 364 0.5113 0.3412 0.5113 0.7151
No log 6.0 366 0.5657 0.3953 0.5657 0.7522
No log 6.0328 368 0.5299 0.3953 0.5299 0.7279
No log 6.0656 370 0.4768 0.35 0.4768 0.6905
No log 6.0984 372 0.4957 0.3103 0.4957 0.7041
No log 6.1311 374 0.5247 0.3371 0.5247 0.7244
No log 6.1639 376 0.4808 0.3939 0.4808 0.6934
No log 6.1967 378 0.4600 0.3374 0.4600 0.6782
No log 6.2295 380 0.4716 0.3939 0.4716 0.6867
No log 6.2623 382 0.4507 0.3810 0.4507 0.6713
No log 6.2951 384 0.4347 0.4556 0.4347 0.6593
No log 6.3279 386 0.4429 0.4620 0.4429 0.6655
No log 6.3607 388 0.4646 0.4943 0.4646 0.6816
No log 6.3934 390 0.4453 0.4860 0.4453 0.6673
No log 6.4262 392 0.4147 0.4667 0.4147 0.6439
No log 6.4590 394 0.4986 0.4652 0.4986 0.7061
No log 6.4918 396 0.5220 0.4227 0.5220 0.7225
No log 6.5246 398 0.4431 0.4157 0.4431 0.6656
No log 6.5574 400 0.4051 0.4667 0.4051 0.6364
No log 6.5902 402 0.4216 0.4091 0.4216 0.6493
No log 6.6230 404 0.4519 0.4943 0.4519 0.6722
No log 6.6557 406 0.4333 0.4091 0.4333 0.6583
No log 6.6885 408 0.4245 0.4884 0.4245 0.6516
No log 6.7213 410 0.4390 0.3757 0.4390 0.6626
No log 6.7541 412 0.4561 0.3708 0.4561 0.6753
No log 6.7869 414 0.4726 0.3708 0.4726 0.6875
No log 6.8197 416 0.4717 0.4475 0.4717 0.6868
No log 6.8525 418 0.4517 0.4894 0.4517 0.6721
No log 6.8852 420 0.4540 0.4409 0.4540 0.6738
No log 6.9180 422 0.4643 0.5080 0.4643 0.6814
No log 6.9508 424 0.4547 0.4348 0.4547 0.6743
No log 6.9836 426 0.4449 0.4819 0.4449 0.6670
No log 7.0164 428 0.4768 0.3708 0.4768 0.6905
No log 7.0492 430 0.4930 0.3778 0.4930 0.7021
No log 7.0820 432 0.4761 0.3829 0.4761 0.6900
No log 7.1148 434 0.4471 0.4475 0.4471 0.6687
No log 7.1475 436 0.4395 0.5165 0.4395 0.6629
No log 7.1803 438 0.4365 0.4222 0.4365 0.6607
No log 7.2131 440 0.4404 0.5080 0.4404 0.6636
No log 7.2459 442 0.4382 0.5165 0.4382 0.6620
No log 7.2787 444 0.4360 0.4468 0.4360 0.6603
No log 7.3115 446 0.4352 0.4098 0.4352 0.6597
No log 7.3443 448 0.4458 0.4783 0.4458 0.6676
No log 7.3770 450 0.4547 0.4033 0.4547 0.6743
No log 7.4098 452 0.4413 0.4667 0.4413 0.6643
No log 7.4426 454 0.4502 0.4348 0.4502 0.6710
No log 7.4754 456 0.4469 0.4348 0.4469 0.6685
No log 7.5082 458 0.4464 0.4595 0.4464 0.6681
No log 7.5410 460 0.4497 0.4652 0.4497 0.6706
No log 7.5738 462 0.4499 0.4725 0.4499 0.6707
No log 7.6066 464 0.4555 0.4783 0.4555 0.6749
No log 7.6393 466 0.4535 0.4783 0.4535 0.6734
No log 7.6721 468 0.4559 0.4783 0.4559 0.6752
No log 7.7049 470 0.4590 0.4033 0.4590 0.6775
No log 7.7377 472 0.4560 0.5056 0.4560 0.6753
No log 7.7705 474 0.4738 0.4348 0.4738 0.6883
No log 7.8033 476 0.4830 0.4348 0.4830 0.6950
No log 7.8361 478 0.4622 0.4286 0.4622 0.6798
No log 7.8689 480 0.4711 0.4348 0.4711 0.6864
No log 7.9016 482 0.5371 0.3730 0.5371 0.7329
No log 7.9344 484 0.5739 0.3267 0.5739 0.7576
No log 7.9672 486 0.5424 0.4105 0.5424 0.7365
No log 8.0 488 0.4812 0.4033 0.4812 0.6937
No log 8.0328 490 0.4538 0.4536 0.4538 0.6737
No log 8.0656 492 0.4563 0.4348 0.4563 0.6755
No log 8.0984 494 0.4652 0.4348 0.4652 0.6821
No log 8.1311 496 0.4629 0.4348 0.4629 0.6804
No log 8.1639 498 0.4577 0.4348 0.4577 0.6765
0.3761 8.1967 500 0.4486 0.4536 0.4486 0.6698
0.3761 8.2295 502 0.4560 0.4348 0.4560 0.6753
0.3761 8.2623 504 0.4535 0.4413 0.4535 0.6734
0.3761 8.2951 506 0.4495 0.3846 0.4495 0.6704
0.3761 8.3279 508 0.4464 0.4536 0.4464 0.6681
0.3761 8.3607 510 0.4481 0.4348 0.4481 0.6694
0.3761 8.3934 512 0.4653 0.5080 0.4653 0.6822
0.3761 8.4262 514 0.4642 0.5080 0.4642 0.6813
0.3761 8.4590 516 0.4514 0.4286 0.4514 0.6719
0.3761 8.4918 518 0.4518 0.4409 0.4518 0.6721
0.3761 8.5246 520 0.4561 0.4894 0.4561 0.6754
0.3761 8.5574 522 0.4571 0.4894 0.4571 0.6761
0.3761 8.5902 524 0.4578 0.4894 0.4578 0.6766
0.3761 8.6230 526 0.4647 0.4819 0.4647 0.6817
0.3761 8.6557 528 0.4699 0.3797 0.4699 0.6855
0.3761 8.6885 530 0.4622 0.4819 0.4622 0.6798
0.3761 8.7213 532 0.4561 0.4894 0.4561 0.6754
0.3761 8.7541 534 0.4517 0.4286 0.4517 0.6721
0.3761 8.7869 536 0.4517 0.4286 0.4517 0.6721
0.3761 8.8197 538 0.4524 0.4286 0.4524 0.6726
0.3761 8.8525 540 0.4526 0.4348 0.4526 0.6727
0.3761 8.8852 542 0.4497 0.4348 0.4497 0.6706
0.3761 8.9180 544 0.4487 0.4286 0.4487 0.6698
0.3761 8.9508 546 0.4504 0.4286 0.4504 0.6711
0.3761 8.9836 548 0.4520 0.4286 0.4520 0.6723
0.3761 9.0164 550 0.4563 0.4348 0.4563 0.6755
0.3761 9.0492 552 0.4681 0.5080 0.4681 0.6842
0.3761 9.0820 554 0.4834 0.5080 0.4834 0.6953
0.3761 9.1148 556 0.4893 0.5080 0.4893 0.6995
0.3761 9.1475 558 0.4820 0.5080 0.4820 0.6942
0.3761 9.1803 560 0.4737 0.5080 0.4737 0.6883
0.3761 9.2131 562 0.4630 0.4348 0.4630 0.6804
0.3761 9.2459 564 0.4584 0.4409 0.4584 0.6770
0.3761 9.2787 566 0.4621 0.3446 0.4621 0.6798
0.3761 9.3115 568 0.4717 0.3966 0.4717 0.6868
0.3761 9.3443 570 0.4741 0.4348 0.4741 0.6885
0.3761 9.3770 572 0.4694 0.4023 0.4694 0.6851
0.3761 9.4098 574 0.4664 0.4023 0.4664 0.6829
0.3761 9.4426 576 0.4623 0.3446 0.4623 0.6799
0.3761 9.4754 578 0.4605 0.4409 0.4605 0.6786
0.3761 9.5082 580 0.4620 0.4286 0.4620 0.6797
0.3761 9.5410 582 0.4658 0.4348 0.4658 0.6825
0.3761 9.5738 584 0.4709 0.4348 0.4709 0.6862
0.3761 9.6066 586 0.4731 0.4348 0.4731 0.6878
0.3761 9.6393 588 0.4753 0.4348 0.4753 0.6894
0.3761 9.6721 590 0.4735 0.4348 0.4735 0.6881
0.3761 9.7049 592 0.4688 0.4348 0.4688 0.6847
0.3761 9.7377 594 0.4648 0.4348 0.4648 0.6818
0.3761 9.7705 596 0.4622 0.4286 0.4622 0.6798
0.3761 9.8033 598 0.4607 0.4286 0.4607 0.6788
0.3761 9.8361 600 0.4601 0.4409 0.4601 0.6783
0.3761 9.8689 602 0.4597 0.4409 0.4597 0.6780
0.3761 9.9016 604 0.4597 0.4409 0.4597 0.6780
0.3761 9.9344 606 0.4597 0.4409 0.4597 0.6780
0.3761 9.9672 608 0.4597 0.4536 0.4597 0.6780
0.3761 10.0 610 0.4598 0.4536 0.4598 0.6781

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
3
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task3_organization

Finetuned
(4040)
this model