ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k16_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: 0.8256
  • Qwk: 0.6950
  • Mse: 0.8256
  • Rmse: 0.9086

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 0.0274 2 7.0431 0.0056 7.0431 2.6539
No log 0.0548 4 4.3669 0.0928 4.3669 2.0897
No log 0.0822 6 3.1837 0.0714 3.1837 1.7843
No log 0.1096 8 2.6432 0.0755 2.6432 1.6258
No log 0.1370 10 2.2348 0.1727 2.2348 1.4949
No log 0.1644 12 1.8249 0.2520 1.8249 1.3509
No log 0.1918 14 1.7978 0.3817 1.7978 1.3408
No log 0.2192 16 1.5800 0.3306 1.5800 1.2570
No log 0.2466 18 1.3791 0.3036 1.3791 1.1744
No log 0.2740 20 1.2955 0.2545 1.2955 1.1382
No log 0.3014 22 1.2538 0.3304 1.2538 1.1197
No log 0.3288 24 1.2998 0.3932 1.2998 1.1401
No log 0.3562 26 1.2076 0.4370 1.2076 1.0989
No log 0.3836 28 1.1033 0.4833 1.1033 1.0504
No log 0.4110 30 1.1703 0.4463 1.1703 1.0818
No log 0.4384 32 1.1029 0.4667 1.1029 1.0502
No log 0.4658 34 1.0821 0.5042 1.0821 1.0402
No log 0.4932 36 1.2980 0.4348 1.2980 1.1393
No log 0.5205 38 1.3862 0.4103 1.3862 1.1774
No log 0.5479 40 1.1398 0.5556 1.1398 1.0676
No log 0.5753 42 1.1428 0.5312 1.1428 1.0690
No log 0.6027 44 1.7016 0.3167 1.7016 1.3045
No log 0.6301 46 1.6571 0.3471 1.6571 1.2873
No log 0.6575 48 1.1821 0.5303 1.1821 1.0873
No log 0.6849 50 1.1517 0.5481 1.1517 1.0732
No log 0.7123 52 1.0478 0.6119 1.0478 1.0236
No log 0.7397 54 1.2679 0.5649 1.2679 1.1260
No log 0.7671 56 1.2914 0.5197 1.2914 1.1364
No log 0.7945 58 1.3278 0.3871 1.3278 1.1523
No log 0.8219 60 1.7051 0.4380 1.7051 1.3058
No log 0.8493 62 1.6260 0.4265 1.6260 1.2751
No log 0.8767 64 1.2046 0.3478 1.2046 1.0976
No log 0.9041 66 1.1374 0.5669 1.1374 1.0665
No log 0.9315 68 1.1177 0.5954 1.1177 1.0572
No log 0.9589 70 1.3061 0.5294 1.3061 1.1428
No log 0.9863 72 1.2864 0.5294 1.2864 1.1342
No log 1.0137 74 0.9919 0.6475 0.9919 0.9959
No log 1.0411 76 0.8733 0.6993 0.8733 0.9345
No log 1.0685 78 0.8155 0.7347 0.8155 0.9030
No log 1.0959 80 0.8477 0.6892 0.8477 0.9207
No log 1.1233 82 0.7611 0.7297 0.7611 0.8724
No log 1.1507 84 0.7094 0.7143 0.7094 0.8423
No log 1.1781 86 0.7211 0.7 0.7211 0.8492
No log 1.2055 88 0.7604 0.6809 0.7604 0.8720
No log 1.2329 90 0.7188 0.7299 0.7188 0.8478
No log 1.2603 92 0.8607 0.6901 0.8607 0.9277
No log 1.2877 94 0.8346 0.6715 0.8346 0.9135
No log 1.3151 96 0.7222 0.7429 0.7222 0.8498
No log 1.3425 98 0.9110 0.6618 0.9110 0.9545
No log 1.3699 100 1.1408 0.5303 1.1408 1.0681
No log 1.3973 102 1.0023 0.6269 1.0023 1.0012
No log 1.4247 104 0.7732 0.6950 0.7732 0.8793
No log 1.4521 106 0.7295 0.7101 0.7295 0.8541
No log 1.4795 108 0.7223 0.7153 0.7223 0.8499
No log 1.5068 110 0.7749 0.6912 0.7749 0.8803
No log 1.5342 112 0.9451 0.6087 0.9451 0.9722
No log 1.5616 114 1.0232 0.5755 1.0232 1.0115
No log 1.5890 116 0.8088 0.6667 0.8088 0.8993
No log 1.6164 118 0.6835 0.7947 0.6835 0.8267
No log 1.6438 120 0.7809 0.6479 0.7809 0.8837
No log 1.6712 122 0.6720 0.7733 0.6720 0.8197
No log 1.6986 124 0.6575 0.7534 0.6575 0.8108
No log 1.7260 126 0.9456 0.6294 0.9456 0.9724
No log 1.7534 128 1.1491 0.5294 1.1491 1.0720
No log 1.7808 130 0.9491 0.6803 0.9491 0.9742
No log 1.8082 132 0.7182 0.7682 0.7182 0.8474
No log 1.8356 134 0.6909 0.7619 0.6909 0.8312
No log 1.8630 136 0.8196 0.7034 0.8196 0.9053
No log 1.8904 138 1.0296 0.5931 1.0296 1.0147
No log 1.9178 140 0.9796 0.6111 0.9796 0.9897
No log 1.9452 142 0.7842 0.6980 0.7842 0.8855
No log 1.9726 144 0.6653 0.7898 0.6653 0.8157
No log 2.0 146 0.7114 0.7792 0.7114 0.8435
No log 2.0274 148 0.7903 0.6806 0.7903 0.8890
No log 2.0548 150 0.8936 0.6573 0.8936 0.9453
No log 2.0822 152 0.8522 0.6479 0.8522 0.9231
No log 2.1096 154 0.7406 0.7383 0.7406 0.8606
No log 2.1370 156 0.6350 0.7722 0.6350 0.7969
No log 2.1644 158 0.5847 0.7848 0.5847 0.7647
No log 2.1918 160 0.5933 0.7771 0.5933 0.7702
No log 2.2192 162 0.6861 0.7333 0.6861 0.8283
No log 2.2466 164 0.6123 0.7692 0.6123 0.7825
No log 2.2740 166 0.5269 0.8101 0.5269 0.7259
No log 2.3014 168 0.5405 0.8176 0.5405 0.7352
No log 2.3288 170 0.6248 0.8075 0.6248 0.7905
No log 2.3562 172 0.7162 0.7733 0.7162 0.8463
No log 2.3836 174 0.7041 0.7785 0.7041 0.8391
No log 2.4110 176 0.7230 0.7733 0.7230 0.8503
No log 2.4384 178 0.7211 0.7613 0.7211 0.8492
No log 2.4658 180 0.7449 0.7484 0.7449 0.8631
No log 2.4932 182 0.6857 0.8075 0.6857 0.8281
No log 2.5205 184 0.5876 0.8098 0.5876 0.7665
No log 2.5479 186 0.5422 0.8050 0.5422 0.7364
No log 2.5753 188 0.5135 0.8171 0.5135 0.7166
No log 2.6027 190 0.5349 0.8171 0.5349 0.7313
No log 2.6301 192 0.7738 0.7636 0.7738 0.8797
No log 2.6575 194 0.8199 0.7239 0.8199 0.9055
No log 2.6849 196 0.5951 0.8075 0.5951 0.7714
No log 2.7123 198 0.6109 0.7815 0.6109 0.7816
No log 2.7397 200 0.5993 0.8 0.5993 0.7741
No log 2.7671 202 0.6037 0.8148 0.6037 0.7770
No log 2.7945 204 0.6038 0.825 0.6038 0.7770
No log 2.8219 206 0.6223 0.7895 0.6223 0.7889
No log 2.8493 208 0.7066 0.7383 0.7066 0.8406
No log 2.8767 210 0.7213 0.7483 0.7213 0.8493
No log 2.9041 212 0.6289 0.7785 0.6289 0.7931
No log 2.9315 214 0.6083 0.8258 0.6083 0.7799
No log 2.9589 216 0.7126 0.7607 0.7126 0.8442
No log 2.9863 218 0.6582 0.8072 0.6582 0.8113
No log 3.0137 220 0.5217 0.825 0.5217 0.7223
No log 3.0411 222 0.6605 0.7432 0.6605 0.8127
No log 3.0685 224 0.8032 0.6849 0.8032 0.8962
No log 3.0959 226 0.6903 0.7413 0.6903 0.8308
No log 3.1233 228 0.5233 0.8280 0.5233 0.7234
No log 3.1507 230 0.6553 0.8075 0.6553 0.8095
No log 3.1781 232 0.7168 0.7952 0.7168 0.8466
No log 3.2055 234 0.6312 0.8 0.6312 0.7945
No log 3.2329 236 0.6132 0.8105 0.6132 0.7831
No log 3.2603 238 0.6012 0.7974 0.6012 0.7754
No log 3.2877 240 0.5718 0.8 0.5718 0.7562
No log 3.3151 242 0.5427 0.8075 0.5427 0.7367
No log 3.3425 244 0.5613 0.8176 0.5613 0.7492
No log 3.3699 246 0.5795 0.8077 0.5795 0.7612
No log 3.3973 248 0.6018 0.7843 0.6018 0.7758
No log 3.4247 250 0.6137 0.7682 0.6137 0.7834
No log 3.4521 252 0.6329 0.7974 0.6329 0.7955
No log 3.4795 254 0.6627 0.8026 0.6627 0.8141
No log 3.5068 256 0.6493 0.7947 0.6493 0.8058
No log 3.5342 258 0.6339 0.8182 0.6339 0.7962
No log 3.5616 260 0.6422 0.7895 0.6422 0.8014
No log 3.5890 262 0.6237 0.8026 0.6237 0.7898
No log 3.6164 264 0.6231 0.7895 0.6231 0.7894
No log 3.6438 266 0.6553 0.76 0.6553 0.8095
No log 3.6712 268 0.6692 0.7483 0.6692 0.8181
No log 3.6986 270 0.6702 0.7947 0.6702 0.8187
No log 3.7260 272 0.7469 0.6883 0.7469 0.8642
No log 3.7534 274 0.6753 0.7875 0.6753 0.8218
No log 3.7808 276 0.5386 0.8077 0.5386 0.7339
No log 3.8082 278 0.6525 0.7848 0.6525 0.8078
No log 3.8356 280 0.8201 0.6267 0.8201 0.9056
No log 3.8630 282 0.7912 0.6939 0.7912 0.8895
No log 3.8904 284 0.6844 0.7871 0.6844 0.8273
No log 3.9178 286 0.6789 0.8 0.6789 0.8240
No log 3.9452 288 0.6768 0.8 0.6768 0.8227
No log 3.9726 290 0.7593 0.7211 0.7593 0.8714
No log 4.0 292 1.0558 0.5541 1.0558 1.0275
No log 4.0274 294 1.2961 0.5405 1.2961 1.1385
No log 4.0548 296 1.2540 0.5442 1.2540 1.1198
No log 4.0822 298 1.0963 0.5616 1.0963 1.0470
No log 4.1096 300 0.8816 0.6712 0.8816 0.9390
No log 4.1370 302 0.7760 0.7383 0.7760 0.8809
No log 4.1644 304 0.7783 0.7172 0.7783 0.8822
No log 4.1918 306 0.8100 0.7123 0.8100 0.9000
No log 4.2192 308 0.8773 0.6571 0.8773 0.9366
No log 4.2466 310 0.8769 0.6571 0.8769 0.9364
No log 4.2740 312 0.8306 0.7092 0.8306 0.9114
No log 4.3014 314 0.8273 0.6667 0.8273 0.9096
No log 4.3288 316 0.7851 0.7324 0.7851 0.8860
No log 4.3562 318 0.7485 0.7092 0.7485 0.8651
No log 4.3836 320 0.7008 0.75 0.7008 0.8371
No log 4.4110 322 0.5845 0.76 0.5845 0.7645
No log 4.4384 324 0.5249 0.8 0.5249 0.7245
No log 4.4658 326 0.5168 0.8 0.5168 0.7189
No log 4.4932 328 0.5405 0.7755 0.5405 0.7352
No log 4.5205 330 0.5627 0.7586 0.5627 0.7502
No log 4.5479 332 0.6468 0.7552 0.6468 0.8042
No log 4.5753 334 0.6926 0.7143 0.6926 0.8322
No log 4.6027 336 0.6122 0.7606 0.6122 0.7824
No log 4.6301 338 0.5782 0.7919 0.5782 0.7604
No log 4.6575 340 0.7068 0.7848 0.7068 0.8407
No log 4.6849 342 0.7233 0.7564 0.7233 0.8504
No log 4.7123 344 0.6049 0.7898 0.6049 0.7777
No log 4.7397 346 0.5422 0.7867 0.5422 0.7364
No log 4.7671 348 0.6424 0.75 0.6424 0.8015
No log 4.7945 350 0.7166 0.7448 0.7166 0.8465
No log 4.8219 352 0.7098 0.7413 0.7098 0.8425
No log 4.8493 354 0.6833 0.7445 0.6833 0.8266
No log 4.8767 356 0.7077 0.7571 0.7077 0.8413
No log 4.9041 358 0.6447 0.7552 0.6447 0.8029
No log 4.9315 360 0.5981 0.7671 0.5981 0.7734
No log 4.9589 362 0.5545 0.7838 0.5545 0.7446
No log 4.9863 364 0.5253 0.8 0.5253 0.7247
No log 5.0137 366 0.5314 0.7879 0.5314 0.7290
No log 5.0411 368 0.6354 0.7826 0.6354 0.7971
No log 5.0685 370 0.6247 0.7613 0.6247 0.7904
No log 5.0959 372 0.5664 0.7692 0.5664 0.7526
No log 5.1233 374 0.5871 0.8052 0.5871 0.7662
No log 5.1507 376 0.6560 0.7895 0.6560 0.8100
No log 5.1781 378 0.6784 0.7582 0.6784 0.8236
No log 5.2055 380 0.6308 0.7821 0.6308 0.7942
No log 5.2329 382 0.6265 0.8052 0.6265 0.7915
No log 5.2603 384 0.6216 0.7742 0.6216 0.7884
No log 5.2877 386 0.6057 0.7843 0.6057 0.7783
No log 5.3151 388 0.6044 0.7792 0.6044 0.7774
No log 5.3425 390 0.5927 0.8077 0.5927 0.7699
No log 5.3699 392 0.5994 0.8025 0.5994 0.7742
No log 5.3973 394 0.5892 0.8026 0.5892 0.7676
No log 5.4247 396 0.6084 0.7843 0.6084 0.7800
No log 5.4521 398 0.6762 0.7568 0.6762 0.8223
No log 5.4795 400 0.6952 0.7619 0.6952 0.8338
No log 5.5068 402 0.6973 0.7619 0.6973 0.8351
No log 5.5342 404 0.6834 0.7682 0.6834 0.8267
No log 5.5616 406 0.6947 0.7867 0.6947 0.8335
No log 5.5890 408 0.7080 0.7867 0.7080 0.8414
No log 5.6164 410 0.6883 0.7682 0.6883 0.8296
No log 5.6438 412 0.7004 0.7742 0.7004 0.8369
No log 5.6712 414 0.7972 0.7215 0.7972 0.8929
No log 5.6986 416 0.7759 0.7595 0.7759 0.8809
No log 5.7260 418 0.6785 0.7922 0.6785 0.8237
No log 5.7534 420 0.6459 0.7843 0.6459 0.8037
No log 5.7808 422 0.6896 0.7901 0.6896 0.8304
No log 5.8082 424 0.7433 0.75 0.7433 0.8621
No log 5.8356 426 0.7004 0.7898 0.7004 0.8369
No log 5.8630 428 0.6296 0.7682 0.6296 0.7935
No log 5.8904 430 0.6418 0.7843 0.6418 0.8011
No log 5.9178 432 0.6573 0.7730 0.6573 0.8107
No log 5.9452 434 0.5796 0.8050 0.5796 0.7613
No log 5.9726 436 0.5471 0.8049 0.5471 0.7397
No log 6.0 438 0.6904 0.7927 0.6904 0.8309
No log 6.0274 440 0.7915 0.7702 0.7915 0.8897
No log 6.0548 442 0.6714 0.775 0.6714 0.8194
No log 6.0822 444 0.5868 0.8129 0.5868 0.7660
No log 6.1096 446 0.6259 0.7843 0.6259 0.7911
No log 6.1370 448 0.6773 0.7643 0.6773 0.8230
No log 6.1644 450 0.6834 0.7643 0.6834 0.8267
No log 6.1918 452 0.6998 0.7564 0.6998 0.8366
No log 6.2192 454 0.7043 0.7712 0.7043 0.8392
No log 6.2466 456 0.7105 0.7712 0.7105 0.8429
No log 6.2740 458 0.7139 0.7383 0.7139 0.8449
No log 6.3014 460 0.7024 0.7226 0.7024 0.8381
No log 6.3288 462 0.6602 0.7389 0.6602 0.8125
No log 6.3562 464 0.6182 0.7875 0.6182 0.7862
No log 6.3836 466 0.6473 0.8293 0.6473 0.8046
No log 6.4110 468 0.7314 0.7975 0.7314 0.8552
No log 6.4384 470 0.7562 0.775 0.7562 0.8696
No log 6.4658 472 0.7018 0.8221 0.7018 0.8377
No log 6.4932 474 0.6550 0.8176 0.6550 0.8093
No log 6.5205 476 0.6651 0.7742 0.6651 0.8155
No log 6.5479 478 0.6550 0.7742 0.6550 0.8093
No log 6.5753 480 0.6191 0.8125 0.6191 0.7868
No log 6.6027 482 0.6399 0.8364 0.6399 0.7999
No log 6.6301 484 0.6885 0.7901 0.6885 0.8297
No log 6.6575 486 0.7149 0.7771 0.7149 0.8455
No log 6.6849 488 0.6728 0.8 0.6728 0.8202
No log 6.7123 490 0.6123 0.8077 0.6123 0.7825
No log 6.7397 492 0.5945 0.8075 0.5945 0.7710
No log 6.7671 494 0.6629 0.7407 0.6629 0.8142
No log 6.7945 496 0.6575 0.7735 0.6575 0.8109
No log 6.8219 498 0.6159 0.8098 0.6159 0.7848
0.3908 6.8493 500 0.6206 0.825 0.6206 0.7878
0.3908 6.8767 502 0.6367 0.825 0.6367 0.7979
0.3908 6.9041 504 0.6418 0.8079 0.6418 0.8012
0.3908 6.9315 506 0.7221 0.7361 0.7221 0.8498
0.3908 6.9589 508 0.8417 0.6950 0.8417 0.9175
0.3908 6.9863 510 0.8256 0.6950 0.8256 0.9086

Framework versions

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