ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_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: 0.9048
  • Qwk: 0.6513
  • Mse: 0.9048
  • Rmse: 0.9512

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 0.0385 2 5.0263 -0.0284 5.0263 2.2419
No log 0.0769 4 3.1573 0.0119 3.1573 1.7769
No log 0.1154 6 2.9415 -0.0976 2.9415 1.7151
No log 0.1538 8 3.2140 -0.0935 3.2140 1.7928
No log 0.1923 10 2.2387 -0.0848 2.2387 1.4962
No log 0.2308 12 1.6077 0.0834 1.6077 1.2679
No log 0.2692 14 1.4133 0.0506 1.4133 1.1888
No log 0.3077 16 1.3920 0.1534 1.3920 1.1798
No log 0.3462 18 1.6823 0.0531 1.6823 1.2970
No log 0.3846 20 2.7410 -0.0348 2.7410 1.6556
No log 0.4231 22 2.7552 -0.0296 2.7552 1.6599
No log 0.4615 24 1.6975 0.0308 1.6975 1.3029
No log 0.5 26 1.2731 0.2978 1.2731 1.1283
No log 0.5385 28 1.1390 0.3263 1.1390 1.0672
No log 0.5769 30 1.0858 0.3932 1.0858 1.0420
No log 0.6154 32 1.1819 0.3472 1.1819 1.0871
No log 0.6538 34 1.1061 0.3512 1.1061 1.0517
No log 0.6923 36 1.2376 0.2985 1.2376 1.1125
No log 0.7308 38 1.4910 0.3291 1.4910 1.2211
No log 0.7692 40 1.5018 0.3351 1.5018 1.2255
No log 0.8077 42 1.3802 0.3763 1.3802 1.1748
No log 0.8462 44 1.2725 0.3381 1.2725 1.1281
No log 0.8846 46 1.0350 0.4545 1.0350 1.0174
No log 0.9231 48 0.9276 0.4537 0.9276 0.9631
No log 0.9615 50 0.9059 0.4020 0.9059 0.9518
No log 1.0 52 0.8939 0.4183 0.8939 0.9455
No log 1.0385 54 0.8969 0.4586 0.8969 0.9470
No log 1.0769 56 0.8772 0.4403 0.8772 0.9366
No log 1.1154 58 0.9046 0.4065 0.9046 0.9511
No log 1.1538 60 0.9484 0.4213 0.9484 0.9739
No log 1.1923 62 1.0221 0.4729 1.0221 1.0110
No log 1.2308 64 1.2850 0.3976 1.2850 1.1336
No log 1.2692 66 1.3028 0.3698 1.3028 1.1414
No log 1.3077 68 1.0202 0.4432 1.0202 1.0101
No log 1.3462 70 0.8799 0.4670 0.8799 0.9380
No log 1.3846 72 0.8731 0.4503 0.8731 0.9344
No log 1.4231 74 0.8808 0.3931 0.8808 0.9385
No log 1.4615 76 0.8696 0.4779 0.8696 0.9325
No log 1.5 78 0.9463 0.4992 0.9463 0.9728
No log 1.5385 80 0.9827 0.4839 0.9827 0.9913
No log 1.5769 82 0.8735 0.5655 0.8735 0.9346
No log 1.6154 84 0.8438 0.6143 0.8438 0.9186
No log 1.6538 86 0.7865 0.6363 0.7865 0.8868
No log 1.6923 88 0.7840 0.6453 0.7840 0.8855
No log 1.7308 90 0.7872 0.6356 0.7872 0.8873
No log 1.7692 92 0.8262 0.5941 0.8262 0.9090
No log 1.8077 94 0.8267 0.5879 0.8267 0.9092
No log 1.8462 96 0.9148 0.5440 0.9148 0.9564
No log 1.8846 98 0.8348 0.6274 0.8348 0.9137
No log 1.9231 100 0.7108 0.6075 0.7108 0.8431
No log 1.9615 102 0.7216 0.6608 0.7216 0.8495
No log 2.0 104 0.7997 0.6288 0.7997 0.8942
No log 2.0385 106 0.7846 0.5358 0.7846 0.8858
No log 2.0769 108 0.7773 0.5585 0.7773 0.8816
No log 2.1154 110 0.7309 0.6263 0.7309 0.8549
No log 2.1538 112 0.7288 0.6300 0.7288 0.8537
No log 2.1923 114 0.7406 0.6498 0.7406 0.8606
No log 2.2308 116 0.7925 0.5968 0.7925 0.8902
No log 2.2692 118 0.8670 0.5821 0.8670 0.9311
No log 2.3077 120 0.8898 0.6444 0.8898 0.9433
No log 2.3462 122 0.9000 0.6572 0.9000 0.9487
No log 2.3846 124 0.8506 0.6511 0.8506 0.9223
No log 2.4231 126 0.7623 0.7062 0.7623 0.8731
No log 2.4615 128 0.7391 0.6693 0.7391 0.8597
No log 2.5 130 0.7891 0.6711 0.7891 0.8883
No log 2.5385 132 0.7335 0.6822 0.7335 0.8565
No log 2.5769 134 0.7445 0.7146 0.7445 0.8628
No log 2.6154 136 0.9817 0.5969 0.9817 0.9908
No log 2.6538 138 1.1521 0.5225 1.1521 1.0734
No log 2.6923 140 1.1295 0.5392 1.1295 1.0628
No log 2.7308 142 0.9423 0.5914 0.9423 0.9707
No log 2.7692 144 0.7256 0.6919 0.7256 0.8518
No log 2.8077 146 0.6675 0.6907 0.6675 0.8170
No log 2.8462 148 0.6696 0.6788 0.6696 0.8183
No log 2.8846 150 0.6920 0.6599 0.6920 0.8319
No log 2.9231 152 0.7420 0.6998 0.7420 0.8614
No log 2.9615 154 0.8004 0.6915 0.8004 0.8946
No log 3.0 156 0.7686 0.6623 0.7686 0.8767
No log 3.0385 158 0.7853 0.6766 0.7853 0.8862
No log 3.0769 160 0.8837 0.5989 0.8837 0.9400
No log 3.1154 162 0.9232 0.6005 0.9232 0.9608
No log 3.1538 164 0.8916 0.5853 0.8916 0.9442
No log 3.1923 166 0.8536 0.5808 0.8536 0.9239
No log 3.2308 168 0.8324 0.5821 0.8324 0.9124
No log 3.2692 170 0.7956 0.6190 0.7956 0.8920
No log 3.3077 172 0.7627 0.6039 0.7627 0.8733
No log 3.3462 174 0.7589 0.6187 0.7589 0.8712
No log 3.3846 176 0.7802 0.6474 0.7802 0.8833
No log 3.4231 178 0.8273 0.5983 0.8273 0.9096
No log 3.4615 180 0.9012 0.6122 0.9012 0.9493
No log 3.5 182 0.9829 0.6097 0.9829 0.9914
No log 3.5385 184 0.9759 0.6265 0.9759 0.9879
No log 3.5769 186 0.8973 0.6368 0.8973 0.9473
No log 3.6154 188 0.7972 0.6363 0.7972 0.8929
No log 3.6538 190 0.7781 0.6561 0.7781 0.8821
No log 3.6923 192 0.8283 0.6422 0.8283 0.9101
No log 3.7308 194 0.9659 0.5920 0.9659 0.9828
No log 3.7692 196 1.1024 0.5468 1.1024 1.0499
No log 3.8077 198 1.0942 0.5432 1.0942 1.0460
No log 3.8462 200 0.9583 0.6079 0.9583 0.9789
No log 3.8846 202 0.8314 0.6239 0.8314 0.9118
No log 3.9231 204 0.7717 0.6200 0.7717 0.8785
No log 3.9615 206 0.7381 0.6365 0.7381 0.8591
No log 4.0 208 0.7303 0.6399 0.7303 0.8546
No log 4.0385 210 0.7404 0.6844 0.7404 0.8605
No log 4.0769 212 0.8260 0.6215 0.8260 0.9089
No log 4.1154 214 0.9420 0.5898 0.9420 0.9706
No log 4.1538 216 0.9748 0.5820 0.9748 0.9873
No log 4.1923 218 0.9241 0.6127 0.9241 0.9613
No log 4.2308 220 0.8817 0.6315 0.8817 0.9390
No log 4.2692 222 0.8270 0.6899 0.8270 0.9094
No log 4.3077 224 0.8048 0.6933 0.8048 0.8971
No log 4.3462 226 0.8126 0.6788 0.8126 0.9014
No log 4.3846 228 0.8417 0.6609 0.8417 0.9174
No log 4.4231 230 0.8429 0.6698 0.8429 0.9181
No log 4.4615 232 0.8390 0.6717 0.8390 0.9160
No log 4.5 234 0.8734 0.6598 0.8734 0.9345
No log 4.5385 236 0.8803 0.6574 0.8803 0.9382
No log 4.5769 238 0.8469 0.6816 0.8469 0.9203
No log 4.6154 240 0.8012 0.7038 0.8012 0.8951
No log 4.6538 242 0.7984 0.6827 0.7984 0.8935
No log 4.6923 244 0.7973 0.6677 0.7973 0.8929
No log 4.7308 246 0.7571 0.6825 0.7571 0.8701
No log 4.7692 248 0.7217 0.6768 0.7217 0.8495
No log 4.8077 250 0.7676 0.6912 0.7676 0.8762
No log 4.8462 252 0.8563 0.6581 0.8563 0.9254
No log 4.8846 254 0.9358 0.6259 0.9358 0.9674
No log 4.9231 256 0.9038 0.6218 0.9038 0.9507
No log 4.9615 258 0.8279 0.6430 0.8279 0.9099
No log 5.0 260 0.8164 0.6521 0.8164 0.9035
No log 5.0385 262 0.8039 0.6403 0.8039 0.8966
No log 5.0769 264 0.7685 0.6493 0.7685 0.8766
No log 5.1154 266 0.7551 0.6510 0.7551 0.8690
No log 5.1538 268 0.7715 0.6443 0.7715 0.8783
No log 5.1923 270 0.8180 0.6393 0.8180 0.9044
No log 5.2308 272 0.8919 0.5987 0.8919 0.9444
No log 5.2692 274 0.9318 0.5932 0.9318 0.9653
No log 5.3077 276 0.9068 0.5844 0.9068 0.9523
No log 5.3462 278 0.8684 0.6310 0.8684 0.9319
No log 5.3846 280 0.8256 0.6659 0.8256 0.9086
No log 5.4231 282 0.7847 0.6684 0.7847 0.8858
No log 5.4615 284 0.7619 0.6681 0.7619 0.8729
No log 5.5 286 0.7397 0.6968 0.7397 0.8601
No log 5.5385 288 0.7326 0.7194 0.7326 0.8559
No log 5.5769 290 0.7567 0.6832 0.7567 0.8699
No log 5.6154 292 0.7984 0.6796 0.7984 0.8936
No log 5.6538 294 0.8269 0.6624 0.8269 0.9093
No log 5.6923 296 0.8454 0.6610 0.8454 0.9195
No log 5.7308 298 0.8513 0.6678 0.8513 0.9227
No log 5.7692 300 0.8259 0.6737 0.8259 0.9088
No log 5.8077 302 0.8232 0.6676 0.8232 0.9073
No log 5.8462 304 0.7857 0.6803 0.7857 0.8864
No log 5.8846 306 0.7601 0.6645 0.7601 0.8718
No log 5.9231 308 0.7463 0.6956 0.7463 0.8639
No log 5.9615 310 0.7538 0.6831 0.7538 0.8682
No log 6.0 312 0.7571 0.6704 0.7571 0.8701
No log 6.0385 314 0.7866 0.6462 0.7866 0.8869
No log 6.0769 316 0.8195 0.6609 0.8195 0.9052
No log 6.1154 318 0.8069 0.6544 0.8069 0.8983
No log 6.1538 320 0.7981 0.6395 0.7981 0.8934
No log 6.1923 322 0.8079 0.6440 0.8079 0.8988
No log 6.2308 324 0.8553 0.6238 0.8553 0.9248
No log 6.2692 326 0.9424 0.6418 0.9424 0.9708
No log 6.3077 328 1.0159 0.6114 1.0159 1.0079
No log 6.3462 330 1.0966 0.5926 1.0966 1.0472
No log 6.3846 332 1.1125 0.5840 1.1125 1.0548
No log 6.4231 334 1.0370 0.6073 1.0370 1.0183
No log 6.4615 336 0.9478 0.6327 0.9478 0.9735
No log 6.5 338 0.8232 0.6811 0.8232 0.9073
No log 6.5385 340 0.7482 0.7114 0.7482 0.8650
No log 6.5769 342 0.7297 0.7293 0.7297 0.8542
No log 6.6154 344 0.7401 0.7389 0.7401 0.8603
No log 6.6538 346 0.7627 0.7069 0.7627 0.8733
No log 6.6923 348 0.7613 0.7246 0.7613 0.8725
No log 6.7308 350 0.7492 0.7246 0.7492 0.8656
No log 6.7692 352 0.7274 0.7169 0.7274 0.8529
No log 6.8077 354 0.7302 0.7208 0.7302 0.8545
No log 6.8462 356 0.7680 0.6972 0.7680 0.8764
No log 6.8846 358 0.8089 0.6924 0.8089 0.8994
No log 6.9231 360 0.8419 0.6761 0.8419 0.9175
No log 6.9615 362 0.8922 0.6624 0.8922 0.9446
No log 7.0 364 0.9226 0.6620 0.9226 0.9605
No log 7.0385 366 0.9256 0.6645 0.9256 0.9621
No log 7.0769 368 0.8926 0.6740 0.8926 0.9448
No log 7.1154 370 0.8305 0.6729 0.8305 0.9113
No log 7.1538 372 0.7926 0.6603 0.7926 0.8903
No log 7.1923 374 0.7835 0.6603 0.7835 0.8851
No log 7.2308 376 0.8007 0.6603 0.8007 0.8948
No log 7.2692 378 0.8478 0.6764 0.8478 0.9208
No log 7.3077 380 0.8648 0.6808 0.8648 0.9299
No log 7.3462 382 0.8711 0.6897 0.8711 0.9333
No log 7.3846 384 0.8733 0.6897 0.8733 0.9345
No log 7.4231 386 0.9037 0.6742 0.9037 0.9506
No log 7.4615 388 0.9041 0.6742 0.9041 0.9509
No log 7.5 390 0.8836 0.6706 0.8836 0.9400
No log 7.5385 392 0.8395 0.6952 0.8395 0.9163
No log 7.5769 394 0.7859 0.6911 0.7859 0.8865
No log 7.6154 396 0.7491 0.6936 0.7491 0.8655
No log 7.6538 398 0.7351 0.7122 0.7351 0.8574
No log 7.6923 400 0.7207 0.7303 0.7207 0.8489
No log 7.7308 402 0.7193 0.7303 0.7193 0.8481
No log 7.7692 404 0.7387 0.7181 0.7387 0.8595
No log 7.8077 406 0.7719 0.7056 0.7719 0.8786
No log 7.8462 408 0.8362 0.6763 0.8362 0.9145
No log 7.8846 410 0.8836 0.6671 0.8836 0.9400
No log 7.9231 412 0.9089 0.6430 0.9089 0.9534
No log 7.9615 414 0.9009 0.6505 0.9009 0.9492
No log 8.0 416 0.8783 0.6604 0.8783 0.9372
No log 8.0385 418 0.8417 0.6697 0.8417 0.9174
No log 8.0769 420 0.8112 0.6916 0.8112 0.9007
No log 8.1154 422 0.7958 0.6916 0.7958 0.8921
No log 8.1538 424 0.8071 0.6780 0.8071 0.8984
No log 8.1923 426 0.8192 0.6780 0.8192 0.9051
No log 8.2308 428 0.8286 0.6763 0.8286 0.9103
No log 8.2692 430 0.8502 0.6671 0.8502 0.9221
No log 8.3077 432 0.8754 0.6444 0.8754 0.9356
No log 8.3462 434 0.8933 0.6444 0.8933 0.9451
No log 8.3846 436 0.8947 0.6430 0.8947 0.9459
No log 8.4231 438 0.8774 0.6444 0.8774 0.9367
No log 8.4615 440 0.8484 0.6629 0.8484 0.9211
No log 8.5 442 0.8155 0.6730 0.8155 0.9030
No log 8.5385 444 0.7996 0.6633 0.7996 0.8942
No log 8.5769 446 0.7961 0.6790 0.7961 0.8922
No log 8.6154 448 0.8009 0.6678 0.8009 0.8949
No log 8.6538 450 0.8093 0.6688 0.8093 0.8996
No log 8.6923 452 0.8181 0.6688 0.8181 0.9045
No log 8.7308 454 0.8227 0.6688 0.8227 0.9070
No log 8.7692 456 0.8384 0.6706 0.8384 0.9157
No log 8.8077 458 0.8413 0.6706 0.8413 0.9172
No log 8.8462 460 0.8521 0.6706 0.8521 0.9231
No log 8.8846 462 0.8636 0.6723 0.8636 0.9293
No log 8.9231 464 0.8825 0.6697 0.8825 0.9394
No log 8.9615 466 0.8883 0.6697 0.8883 0.9425
No log 9.0 468 0.8905 0.6697 0.8905 0.9437
No log 9.0385 470 0.8884 0.6690 0.8884 0.9425
No log 9.0769 472 0.8742 0.6697 0.8742 0.9350
No log 9.1154 474 0.8596 0.6713 0.8596 0.9272
No log 9.1538 476 0.8552 0.6713 0.8552 0.9248
No log 9.1923 478 0.8553 0.6713 0.8553 0.9248
No log 9.2308 480 0.8697 0.6713 0.8697 0.9326
No log 9.2692 482 0.8917 0.6706 0.8917 0.9443
No log 9.3077 484 0.9080 0.6690 0.9080 0.9529
No log 9.3462 486 0.9205 0.6437 0.9205 0.9594
No log 9.3846 488 0.9306 0.6367 0.9306 0.9647
No log 9.4231 490 0.9410 0.6297 0.9410 0.9700
No log 9.4615 492 0.9556 0.6254 0.9556 0.9775
No log 9.5 494 0.9558 0.6254 0.9558 0.9777
No log 9.5385 496 0.9512 0.6254 0.9512 0.9753
No log 9.5769 498 0.9487 0.6254 0.9487 0.9740
0.4352 9.6154 500 0.9447 0.6254 0.9447 0.9720
0.4352 9.6538 502 0.9394 0.6268 0.9394 0.9692
0.4352 9.6923 504 0.9366 0.6268 0.9366 0.9678
0.4352 9.7308 506 0.9342 0.6402 0.9342 0.9665
0.4352 9.7692 508 0.9277 0.6471 0.9277 0.9632
0.4352 9.8077 510 0.9215 0.6540 0.9215 0.9599
0.4352 9.8462 512 0.9163 0.6513 0.9163 0.9572
0.4352 9.8846 514 0.9122 0.6513 0.9122 0.9551
0.4352 9.9231 516 0.9082 0.6513 0.9082 0.9530
0.4352 9.9615 518 0.9055 0.6513 0.9055 0.9516
0.4352 10.0 520 0.9048 0.6513 0.9048 0.9512

Framework versions

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