ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_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: 0.6925
  • Qwk: 0.7206
  • Mse: 0.6925
  • Rmse: 0.8322

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 0.0233 2 7.2013 0.0055 7.2013 2.6835
No log 0.0465 4 4.3078 0.1469 4.3078 2.0755
No log 0.0698 6 3.1026 0.0970 3.1026 1.7614
No log 0.0930 8 2.1821 0.1926 2.1821 1.4772
No log 0.1163 10 1.7709 0.1455 1.7709 1.3308
No log 0.1395 12 2.0216 0.1639 2.0216 1.4218
No log 0.1628 14 1.8071 0.0943 1.8071 1.3443
No log 0.1860 16 1.8532 0.0935 1.8532 1.3613
No log 0.2093 18 2.8131 -0.0420 2.8131 1.6772
No log 0.2326 20 2.9715 0.0400 2.9715 1.7238
No log 0.2558 22 2.7456 0.0676 2.7456 1.6570
No log 0.2791 24 2.2622 0.1135 2.2622 1.5041
No log 0.3023 26 1.9837 0.2647 1.9837 1.4084
No log 0.3256 28 1.3743 0.4034 1.3743 1.1723
No log 0.3488 30 1.3492 0.4480 1.3492 1.1616
No log 0.3721 32 1.3273 0.3214 1.3273 1.1521
No log 0.3953 34 1.7001 0.3566 1.7001 1.3039
No log 0.4186 36 2.2978 0.1733 2.2978 1.5159
No log 0.4419 38 2.8221 0.1325 2.8221 1.6799
No log 0.4651 40 2.8524 0.1325 2.8524 1.6889
No log 0.4884 42 2.4646 0.1258 2.4646 1.5699
No log 0.5116 44 2.2348 0.1818 2.2348 1.4949
No log 0.5349 46 2.0721 0.2297 2.0721 1.4395
No log 0.5581 48 1.8775 0.3217 1.8775 1.3702
No log 0.5814 50 1.8853 0.3056 1.8853 1.3731
No log 0.6047 52 1.5233 0.4651 1.5233 1.2342
No log 0.6279 54 1.1337 0.4370 1.1337 1.0648
No log 0.6512 56 1.1837 0.4874 1.1837 1.0880
No log 0.6744 58 1.1650 0.5000 1.1650 1.0793
No log 0.6977 60 1.0375 0.5397 1.0375 1.0186
No log 0.7209 62 0.9760 0.6 0.9760 0.9879
No log 0.7442 64 0.9474 0.6308 0.9474 0.9734
No log 0.7674 66 0.9730 0.5625 0.9730 0.9864
No log 0.7907 68 1.0320 0.5827 1.0320 1.0159
No log 0.8140 70 1.0261 0.5354 1.0261 1.0130
No log 0.8372 72 1.1237 0.5312 1.1237 1.0600
No log 0.8605 74 1.0118 0.5366 1.0118 1.0059
No log 0.8837 76 0.9751 0.5366 0.9751 0.9875
No log 0.9070 78 0.9067 0.5645 0.9067 0.9522
No log 0.9302 80 0.7949 0.6466 0.7949 0.8916
No log 0.9535 82 0.7030 0.6618 0.7030 0.8384
No log 0.9767 84 0.6799 0.7234 0.6799 0.8245
No log 1.0 86 0.6467 0.7568 0.6467 0.8042
No log 1.0233 88 0.6155 0.7898 0.6155 0.7845
No log 1.0465 90 0.5967 0.8 0.5967 0.7725
No log 1.0698 92 0.6459 0.76 0.6459 0.8037
No log 1.0930 94 0.9303 0.6429 0.9303 0.9645
No log 1.1163 96 1.1207 0.5588 1.1207 1.0586
No log 1.1395 98 0.9495 0.5821 0.9495 0.9744
No log 1.1628 100 0.7548 0.6815 0.7548 0.8688
No log 1.1860 102 0.8503 0.6963 0.8503 0.9221
No log 1.2093 104 1.0572 0.5735 1.0572 1.0282
No log 1.2326 106 0.8059 0.7133 0.8059 0.8977
No log 1.2558 108 0.6920 0.6950 0.6920 0.8319
No log 1.2791 110 1.0965 0.5362 1.0965 1.0471
No log 1.3023 112 1.3137 0.4681 1.3137 1.1462
No log 1.3256 114 1.0360 0.5972 1.0360 1.0178
No log 1.3488 116 0.6783 0.7260 0.6783 0.8236
No log 1.3721 118 0.5427 0.7974 0.5427 0.7367
No log 1.3953 120 0.7447 0.7439 0.7447 0.8629
No log 1.4186 122 0.8128 0.7239 0.8128 0.9016
No log 1.4419 124 0.7009 0.7848 0.7009 0.8372
No log 1.4651 126 0.5797 0.8000 0.5797 0.7614
No log 1.4884 128 0.5744 0.8000 0.5744 0.7579
No log 1.5116 130 0.5625 0.8000 0.5625 0.7500
No log 1.5349 132 0.5572 0.8000 0.5572 0.7464
No log 1.5581 134 0.6588 0.7613 0.6588 0.8117
No log 1.5814 136 0.8166 0.7006 0.8166 0.9037
No log 1.6047 138 0.6451 0.7742 0.6451 0.8032
No log 1.6279 140 0.5112 0.8105 0.5112 0.7150
No log 1.6512 142 0.8092 0.6839 0.8092 0.8996
No log 1.6744 144 0.9549 0.6490 0.9549 0.9772
No log 1.6977 146 0.8751 0.6667 0.8751 0.9355
No log 1.7209 148 0.7586 0.7397 0.7586 0.8710
No log 1.7442 150 0.6845 0.7310 0.6845 0.8274
No log 1.7674 152 0.6498 0.7361 0.6498 0.8061
No log 1.7907 154 0.6823 0.7448 0.6823 0.8260
No log 1.8140 156 0.7448 0.7361 0.7448 0.8630
No log 1.8372 158 0.7590 0.7273 0.7590 0.8712
No log 1.8605 160 0.7383 0.7092 0.7383 0.8592
No log 1.8837 162 0.7497 0.7 0.7497 0.8658
No log 1.9070 164 0.7565 0.7050 0.7565 0.8698
No log 1.9302 166 0.7491 0.7143 0.7491 0.8655
No log 1.9535 168 0.7369 0.7143 0.7369 0.8584
No log 1.9767 170 0.6814 0.7273 0.6814 0.8255
No log 2.0 172 0.6951 0.6812 0.6951 0.8337
No log 2.0233 174 0.7583 0.6667 0.7583 0.8708
No log 2.0465 176 0.7590 0.6866 0.7590 0.8712
No log 2.0698 178 0.6709 0.7391 0.6709 0.8191
No log 2.0930 180 0.6165 0.7660 0.6165 0.7852
No log 2.1163 182 0.5973 0.7465 0.5973 0.7728
No log 2.1395 184 0.5851 0.7778 0.5851 0.7649
No log 2.1628 186 0.6110 0.7429 0.6110 0.7817
No log 2.1860 188 0.7250 0.6713 0.7250 0.8515
No log 2.2093 190 0.8130 0.6622 0.8130 0.9017
No log 2.2326 192 0.7356 0.6803 0.7356 0.8577
No log 2.2558 194 0.6138 0.7763 0.6138 0.7834
No log 2.2791 196 0.4970 0.8101 0.4970 0.7049
No log 2.3023 198 0.4815 0.8485 0.4815 0.6939
No log 2.3256 200 0.4748 0.8375 0.4748 0.6891
No log 2.3488 202 0.5174 0.7975 0.5174 0.7193
No log 2.3721 204 0.5565 0.8129 0.5565 0.7460
No log 2.3953 206 0.5886 0.8025 0.5886 0.7672
No log 2.4186 208 0.6236 0.7671 0.6236 0.7897
No log 2.4419 210 0.6100 0.7619 0.6100 0.7810
No log 2.4651 212 0.5932 0.7838 0.5932 0.7702
No log 2.4884 214 0.5648 0.7947 0.5648 0.7516
No log 2.5116 216 0.5442 0.7947 0.5442 0.7377
No log 2.5349 218 0.5284 0.8052 0.5284 0.7269
No log 2.5581 220 0.5286 0.8176 0.5286 0.7271
No log 2.5814 222 0.5770 0.8101 0.5770 0.7596
No log 2.6047 224 0.6168 0.7682 0.6168 0.7854
No log 2.6279 226 0.5886 0.8182 0.5886 0.7672
No log 2.6512 228 0.5615 0.8258 0.5615 0.7493
No log 2.6744 230 0.5641 0.8176 0.5641 0.7511
No log 2.6977 232 0.5720 0.8 0.5720 0.7563
No log 2.7209 234 0.5121 0.8176 0.5121 0.7156
No log 2.7442 236 0.4488 0.8364 0.4488 0.6699
No log 2.7674 238 0.4310 0.8434 0.4310 0.6565
No log 2.7907 240 0.4400 0.8466 0.4400 0.6633
No log 2.8140 242 0.4702 0.8199 0.4702 0.6857
No log 2.8372 244 0.4784 0.8415 0.4784 0.6916
No log 2.8605 246 0.5390 0.7950 0.5390 0.7341
No log 2.8837 248 0.5829 0.7975 0.5829 0.7635
No log 2.9070 250 0.6383 0.7925 0.6383 0.7989
No log 2.9302 252 0.5547 0.8129 0.5547 0.7448
No log 2.9535 254 0.5258 0.7947 0.5258 0.7252
No log 2.9767 256 0.7318 0.6846 0.7318 0.8555
No log 3.0 258 0.7595 0.6928 0.7595 0.8715
No log 3.0233 260 0.7632 0.7027 0.7632 0.8736
No log 3.0465 262 0.6069 0.7534 0.6069 0.7790
No log 3.0698 264 0.5627 0.7808 0.5627 0.7502
No log 3.0930 266 0.5966 0.7724 0.5966 0.7724
No log 3.1163 268 0.6504 0.7465 0.6504 0.8065
No log 3.1395 270 0.7384 0.7143 0.7384 0.8593
No log 3.1628 272 0.7556 0.7059 0.7556 0.8693
No log 3.1860 274 0.8064 0.6 0.8064 0.8980
No log 3.2093 276 0.9566 0.5970 0.9566 0.9780
No log 3.2326 278 1.0763 0.5857 1.0763 1.0375
No log 3.2558 280 0.9905 0.6 0.9905 0.9952
No log 3.2791 282 0.8092 0.6074 0.8092 0.8996
No log 3.3023 284 0.7011 0.7194 0.7011 0.8373
No log 3.3256 286 0.7906 0.7248 0.7906 0.8892
No log 3.3488 288 0.7977 0.7020 0.7977 0.8932
No log 3.3721 290 0.7033 0.7483 0.7033 0.8386
No log 3.3953 292 0.6290 0.7534 0.6290 0.7931
No log 3.4186 294 0.6188 0.7619 0.6188 0.7866
No log 3.4419 296 0.6645 0.7552 0.6645 0.8151
No log 3.4651 298 0.7094 0.7286 0.7094 0.8423
No log 3.4884 300 0.7431 0.6861 0.7431 0.8620
No log 3.5116 302 0.7311 0.6957 0.7311 0.8550
No log 3.5349 304 0.6826 0.7448 0.6826 0.8262
No log 3.5581 306 0.6271 0.7534 0.6271 0.7919
No log 3.5814 308 0.5650 0.7733 0.5650 0.7517
No log 3.6047 310 0.5418 0.8026 0.5418 0.7360
No log 3.6279 312 0.5717 0.7945 0.5717 0.7561
No log 3.6512 314 0.5992 0.7724 0.5992 0.7741
No log 3.6744 316 0.5881 0.7838 0.5881 0.7668
No log 3.6977 318 0.5913 0.7619 0.5913 0.7690
No log 3.7209 320 0.5469 0.7867 0.5469 0.7396
No log 3.7442 322 0.5057 0.7974 0.5057 0.7111
No log 3.7674 324 0.5081 0.7922 0.5081 0.7128
No log 3.7907 326 0.5488 0.7975 0.5488 0.7408
No log 3.8140 328 0.6830 0.7484 0.6830 0.8264
No log 3.8372 330 0.7381 0.72 0.7381 0.8591
No log 3.8605 332 0.6575 0.7248 0.6575 0.8108
No log 3.8837 334 0.5907 0.7843 0.5907 0.7686
No log 3.9070 336 0.5733 0.7919 0.5733 0.7572
No log 3.9302 338 0.6155 0.8105 0.6155 0.7845
No log 3.9535 340 0.6229 0.7755 0.6229 0.7893
No log 3.9767 342 0.6448 0.7843 0.6448 0.8030
No log 4.0 344 0.7507 0.7075 0.7507 0.8664
No log 4.0233 346 0.7551 0.7075 0.7551 0.8689
No log 4.0465 348 0.6472 0.7682 0.6472 0.8045
No log 4.0698 350 0.5535 0.7843 0.5535 0.7440
No log 4.0930 352 0.5467 0.7922 0.5467 0.7394
No log 4.1163 354 0.5688 0.7974 0.5688 0.7542
No log 4.1395 356 0.5469 0.7922 0.5469 0.7395
No log 4.1628 358 0.5407 0.7922 0.5407 0.7353
No log 4.1860 360 0.5288 0.7922 0.5288 0.7272
No log 4.2093 362 0.5385 0.8105 0.5385 0.7338
No log 4.2326 364 0.5589 0.7815 0.5589 0.7476
No log 4.2558 366 0.5629 0.7843 0.5629 0.7503
No log 4.2791 368 0.5997 0.7534 0.5997 0.7744
No log 4.3023 370 0.6152 0.7534 0.6152 0.7843
No log 4.3256 372 0.5793 0.7651 0.5793 0.7611
No log 4.3488 374 0.5811 0.7867 0.5811 0.7623
No log 4.3721 376 0.6287 0.7432 0.6287 0.7929
No log 4.3953 378 0.6516 0.7310 0.6516 0.8072
No log 4.4186 380 0.6517 0.7172 0.6517 0.8073
No log 4.4419 382 0.6763 0.6857 0.6763 0.8224
No log 4.4651 384 0.6977 0.6619 0.6977 0.8353
No log 4.4884 386 0.6917 0.6857 0.6917 0.8317
No log 4.5116 388 0.6781 0.7042 0.6781 0.8235
No log 4.5349 390 0.6802 0.7092 0.6802 0.8247
No log 4.5581 392 0.6590 0.7133 0.6590 0.8118
No log 4.5814 394 0.6028 0.7347 0.6028 0.7764
No log 4.6047 396 0.5881 0.7703 0.5881 0.7669
No log 4.6279 398 0.6128 0.7448 0.6128 0.7828
No log 4.6512 400 0.6065 0.8 0.6065 0.7788
No log 4.6744 402 0.6506 0.7234 0.6506 0.8066
No log 4.6977 404 0.6840 0.7092 0.6840 0.8270
No log 4.7209 406 0.6394 0.7429 0.6394 0.7996
No log 4.7442 408 0.6256 0.75 0.6256 0.7909
No log 4.7674 410 0.6497 0.7467 0.6497 0.8060
No log 4.7907 412 0.5871 0.75 0.5871 0.7662
No log 4.8140 414 0.4954 0.8026 0.4954 0.7038
No log 4.8372 416 0.5467 0.7975 0.5467 0.7394
No log 4.8605 418 0.6312 0.7310 0.6312 0.7945
No log 4.8837 420 0.6548 0.7183 0.6548 0.8092
No log 4.9070 422 0.6208 0.75 0.6208 0.7879
No log 4.9302 424 0.6529 0.7692 0.6529 0.8080
No log 4.9535 426 0.7305 0.7101 0.7305 0.8547
No log 4.9767 428 0.7354 0.7246 0.7354 0.8576
No log 5.0 430 0.6687 0.7518 0.6687 0.8177
No log 5.0233 432 0.6096 0.7534 0.6096 0.7808
No log 5.0465 434 0.5408 0.8212 0.5408 0.7354
No log 5.0698 436 0.5103 0.8258 0.5103 0.7143
No log 5.0930 438 0.5062 0.8077 0.5062 0.7115
No log 5.1163 440 0.4988 0.8205 0.4988 0.7062
No log 5.1395 442 0.5083 0.8205 0.5083 0.7130
No log 5.1628 444 0.5336 0.8105 0.5336 0.7305
No log 5.1860 446 0.5793 0.7919 0.5793 0.7611
No log 5.2093 448 0.6455 0.75 0.6455 0.8035
No log 5.2326 450 0.6350 0.7619 0.6350 0.7968
No log 5.2558 452 0.6253 0.7568 0.6253 0.7907
No log 5.2791 454 0.5670 0.8212 0.5670 0.7530
No log 5.3023 456 0.5121 0.8280 0.5121 0.7156
No log 5.3256 458 0.5626 0.7898 0.5626 0.7501
No log 5.3488 460 0.5517 0.7799 0.5517 0.7428
No log 5.3721 462 0.4982 0.8272 0.4982 0.7059
No log 5.3953 464 0.4557 0.8125 0.4557 0.6751
No log 5.4186 466 0.5896 0.7815 0.5896 0.7678
No log 5.4419 468 0.7980 0.6849 0.7980 0.8933
No log 5.4651 470 0.8710 0.6667 0.8710 0.9333
No log 5.4884 472 0.7664 0.6713 0.7664 0.8755
No log 5.5116 474 0.6428 0.76 0.6428 0.8018
No log 5.5349 476 0.5561 0.8 0.5561 0.7457
No log 5.5581 478 0.5394 0.8267 0.5394 0.7345
No log 5.5814 480 0.5418 0.8 0.5418 0.7361
No log 5.6047 482 0.5948 0.7703 0.5948 0.7712
No log 5.6279 484 0.6286 0.7534 0.6286 0.7929
No log 5.6512 486 0.5915 0.7619 0.5915 0.7691
No log 5.6744 488 0.5564 0.8 0.5564 0.7459
No log 5.6977 490 0.5466 0.7947 0.5466 0.7393
No log 5.7209 492 0.5704 0.7651 0.5704 0.7552
No log 5.7442 494 0.6160 0.7568 0.6160 0.7849
No log 5.7674 496 0.5847 0.7568 0.5847 0.7647
No log 5.7907 498 0.5198 0.7947 0.5198 0.7209
0.4348 5.8140 500 0.5252 0.8312 0.5252 0.7247
0.4348 5.8372 502 0.6934 0.7308 0.6934 0.8327
0.4348 5.8605 504 0.8490 0.6842 0.8490 0.9214
0.4348 5.8837 506 0.8424 0.6486 0.8424 0.9178
0.4348 5.9070 508 0.7746 0.7050 0.7746 0.8801
0.4348 5.9302 510 0.6925 0.7206 0.6925 0.8322

Framework versions

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