ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k14_task5_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: 0.5953
  • Qwk: 0.7709
  • Mse: 0.5953
  • Rmse: 0.7716

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 0.0357 2 2.2233 0.0214 2.2233 1.4911
No log 0.0714 4 1.4594 0.1887 1.4594 1.2081
No log 0.1071 6 1.2668 0.2605 1.2668 1.1255
No log 0.1429 8 1.4047 0.3868 1.4047 1.1852
No log 0.1786 10 1.5808 0.3404 1.5808 1.2573
No log 0.2143 12 1.7868 0.3119 1.7868 1.3367
No log 0.25 14 1.4740 0.3462 1.4740 1.2141
No log 0.2857 16 1.2760 0.3002 1.2760 1.1296
No log 0.3214 18 1.2178 0.3217 1.2178 1.1035
No log 0.3571 20 1.1503 0.3745 1.1503 1.0725
No log 0.3929 22 1.0628 0.4474 1.0628 1.0309
No log 0.4286 24 1.0386 0.4602 1.0386 1.0191
No log 0.4643 26 1.0421 0.4967 1.0421 1.0208
No log 0.5 28 0.9879 0.5162 0.9879 0.9940
No log 0.5357 30 0.8723 0.5747 0.8723 0.9340
No log 0.5714 32 1.0266 0.4490 1.0266 1.0132
No log 0.6071 34 1.2731 0.3382 1.2731 1.1283
No log 0.6429 36 1.0743 0.4601 1.0743 1.0365
No log 0.6786 38 0.8028 0.5964 0.8028 0.8960
No log 0.7143 40 0.8717 0.5781 0.8717 0.9337
No log 0.75 42 0.8844 0.5756 0.8844 0.9404
No log 0.7857 44 0.7934 0.6258 0.7934 0.8907
No log 0.8214 46 0.8094 0.5846 0.8094 0.8997
No log 0.8571 48 0.8540 0.5148 0.8540 0.9241
No log 0.8929 50 0.8310 0.5838 0.8310 0.9116
No log 0.9286 52 0.8880 0.5770 0.8880 0.9423
No log 0.9643 54 0.9601 0.5664 0.9601 0.9798
No log 1.0 56 0.9328 0.5714 0.9328 0.9658
No log 1.0357 58 0.8607 0.5417 0.8607 0.9278
No log 1.0714 60 0.8138 0.5752 0.8138 0.9021
No log 1.1071 62 0.8064 0.6540 0.8064 0.8980
No log 1.1429 64 0.7578 0.6809 0.7578 0.8705
No log 1.1786 66 0.7140 0.6370 0.7140 0.8450
No log 1.2143 68 0.7078 0.6505 0.7078 0.8413
No log 1.25 70 0.6604 0.7315 0.6604 0.8127
No log 1.2857 72 0.7613 0.7105 0.7613 0.8725
No log 1.3214 74 0.7052 0.7048 0.7052 0.8398
No log 1.3571 76 0.6464 0.7368 0.6464 0.8040
No log 1.3929 78 0.6544 0.7268 0.6544 0.8089
No log 1.4286 80 0.7740 0.6796 0.7740 0.8798
No log 1.4643 82 1.2725 0.5993 1.2725 1.1280
No log 1.5 84 1.3605 0.5720 1.3605 1.1664
No log 1.5357 86 1.0149 0.6149 1.0149 1.0074
No log 1.5714 88 0.7680 0.6877 0.7680 0.8764
No log 1.6071 90 0.7382 0.6561 0.7382 0.8592
No log 1.6429 92 0.7528 0.6678 0.7528 0.8677
No log 1.6786 94 0.9237 0.6636 0.9237 0.9611
No log 1.7143 96 1.1971 0.5935 1.1971 1.0941
No log 1.75 98 1.4527 0.5889 1.4527 1.2053
No log 1.7857 100 1.3225 0.6096 1.3225 1.1500
No log 1.8214 102 0.8910 0.6875 0.8910 0.9439
No log 1.8571 104 0.6579 0.7195 0.6579 0.8111
No log 1.8929 106 0.6219 0.7056 0.6219 0.7886
No log 1.9286 108 0.6336 0.7300 0.6336 0.7960
No log 1.9643 110 0.8048 0.7090 0.8048 0.8971
No log 2.0 112 0.9938 0.6547 0.9938 0.9969
No log 2.0357 114 1.0583 0.6356 1.0583 1.0287
No log 2.0714 116 0.9653 0.6540 0.9653 0.9825
No log 2.1071 118 0.7166 0.7519 0.7166 0.8465
No log 2.1429 120 0.6181 0.6849 0.6181 0.7862
No log 2.1786 122 0.6532 0.6824 0.6532 0.8082
No log 2.2143 124 0.6239 0.6610 0.6239 0.7899
No log 2.25 126 0.6189 0.7506 0.6189 0.7867
No log 2.2857 128 0.7499 0.7324 0.7499 0.8660
No log 2.3214 130 1.0212 0.6616 1.0212 1.0105
No log 2.3571 132 1.1422 0.6118 1.1422 1.0687
No log 2.3929 134 1.0222 0.6319 1.0222 1.0110
No log 2.4286 136 0.8188 0.6911 0.8188 0.9049
No log 2.4643 138 0.7706 0.6876 0.7706 0.8778
No log 2.5 140 0.7272 0.7184 0.7272 0.8528
No log 2.5357 142 0.7689 0.7152 0.7689 0.8769
No log 2.5714 144 0.8396 0.7125 0.8396 0.9163
No log 2.6071 146 0.8716 0.7221 0.8716 0.9336
No log 2.6429 148 0.8582 0.7195 0.8582 0.9264
No log 2.6786 150 0.7477 0.7499 0.7477 0.8647
No log 2.7143 152 0.6567 0.7733 0.6567 0.8104
No log 2.75 154 0.6396 0.7751 0.6396 0.7998
No log 2.7857 156 0.6523 0.7747 0.6523 0.8077
No log 2.8214 158 0.6589 0.7678 0.6589 0.8118
No log 2.8571 160 0.6160 0.7336 0.6160 0.7849
No log 2.8929 162 0.6125 0.7213 0.6125 0.7826
No log 2.9286 164 0.6656 0.7672 0.6656 0.8159
No log 2.9643 166 0.7246 0.7598 0.7246 0.8512
No log 3.0 168 0.7096 0.7639 0.7096 0.8424
No log 3.0357 170 0.7417 0.7553 0.7417 0.8612
No log 3.0714 172 0.7111 0.7549 0.7111 0.8433
No log 3.1071 174 0.6669 0.7580 0.6669 0.8166
No log 3.1429 176 0.6827 0.7422 0.6827 0.8263
No log 3.1786 178 0.7199 0.7656 0.7199 0.8485
No log 3.2143 180 0.8606 0.7101 0.8606 0.9277
No log 3.25 182 0.9589 0.6586 0.9589 0.9792
No log 3.2857 184 0.9182 0.7093 0.9182 0.9582
No log 3.3214 186 0.7757 0.7154 0.7757 0.8808
No log 3.3571 188 0.6852 0.7532 0.6852 0.8278
No log 3.3929 190 0.6659 0.7495 0.6659 0.8160
No log 3.4286 192 0.7138 0.7349 0.7138 0.8449
No log 3.4643 194 0.8130 0.7125 0.8130 0.9017
No log 3.5 196 0.9401 0.6573 0.9401 0.9696
No log 3.5357 198 1.0461 0.6019 1.0461 1.0228
No log 3.5714 200 1.0435 0.6214 1.0435 1.0215
No log 3.6071 202 0.9953 0.6367 0.9953 0.9976
No log 3.6429 204 0.9285 0.6788 0.9285 0.9636
No log 3.6786 206 0.8391 0.7097 0.8391 0.9160
No log 3.7143 208 0.8268 0.7063 0.8268 0.9093
No log 3.75 210 0.8550 0.7059 0.8550 0.9247
No log 3.7857 212 0.8202 0.7095 0.8202 0.9056
No log 3.8214 214 0.7339 0.7325 0.7339 0.8567
No log 3.8571 216 0.6677 0.7338 0.6677 0.8171
No log 3.8929 218 0.6543 0.7183 0.6543 0.8089
No log 3.9286 220 0.6874 0.7246 0.6874 0.8291
No log 3.9643 222 0.7823 0.7164 0.7823 0.8845
No log 4.0 224 0.8974 0.6933 0.8974 0.9473
No log 4.0357 226 0.8276 0.7096 0.8276 0.9097
No log 4.0714 228 0.6833 0.7369 0.6833 0.8266
No log 4.1071 230 0.6291 0.7139 0.6291 0.7931
No log 4.1429 232 0.6255 0.7291 0.6255 0.7909
No log 4.1786 234 0.6555 0.7332 0.6555 0.8096
No log 4.2143 236 0.8149 0.7160 0.8149 0.9027
No log 4.25 238 1.0813 0.6493 1.0813 1.0398
No log 4.2857 240 1.1444 0.6293 1.1444 1.0698
No log 4.3214 242 1.0069 0.6773 1.0069 1.0034
No log 4.3571 244 0.7921 0.7199 0.7921 0.8900
No log 4.3929 246 0.6471 0.7511 0.6471 0.8044
No log 4.4286 248 0.6232 0.7315 0.6232 0.7895
No log 4.4643 250 0.6322 0.7553 0.6322 0.7951
No log 4.5 252 0.7206 0.7309 0.7206 0.8489
No log 4.5357 254 0.8289 0.7295 0.8289 0.9104
No log 4.5714 256 0.8258 0.7393 0.8258 0.9087
No log 4.6071 258 0.7356 0.7287 0.7356 0.8577
No log 4.6429 260 0.7008 0.7417 0.7008 0.8371
No log 4.6786 262 0.7087 0.7410 0.7087 0.8419
No log 4.7143 264 0.6976 0.7272 0.6976 0.8352
No log 4.75 266 0.6958 0.7309 0.6958 0.8341
No log 4.7857 268 0.7255 0.7402 0.7255 0.8518
No log 4.8214 270 0.7700 0.7353 0.7700 0.8775
No log 4.8571 272 0.8263 0.7171 0.8263 0.9090
No log 4.8929 274 0.8306 0.7226 0.8306 0.9114
No log 4.9286 276 0.7818 0.7188 0.7818 0.8842
No log 4.9643 278 0.8130 0.7089 0.8130 0.9017
No log 5.0 280 0.8216 0.7105 0.8216 0.9064
No log 5.0357 282 0.7984 0.7168 0.7984 0.8935
No log 5.0714 284 0.6948 0.7587 0.6948 0.8335
No log 5.1071 286 0.6315 0.7661 0.6315 0.7947
No log 5.1429 288 0.6079 0.7728 0.6079 0.7797
No log 5.1786 290 0.6165 0.7654 0.6165 0.7852
No log 5.2143 292 0.6643 0.7663 0.6643 0.8150
No log 5.25 294 0.6841 0.7558 0.6841 0.8271
No log 5.2857 296 0.6779 0.7652 0.6779 0.8234
No log 5.3214 298 0.6830 0.7583 0.6830 0.8264
No log 5.3571 300 0.6767 0.7560 0.6767 0.8226
No log 5.3929 302 0.6147 0.7440 0.6147 0.7841
No log 5.4286 304 0.6014 0.7427 0.6014 0.7755
No log 5.4643 306 0.6383 0.7393 0.6383 0.7989
No log 5.5 308 0.7404 0.7331 0.7404 0.8605
No log 5.5357 310 0.7990 0.7003 0.7990 0.8938
No log 5.5714 312 0.7552 0.7409 0.7552 0.8690
No log 5.6071 314 0.6730 0.7629 0.6730 0.8204
No log 5.6429 316 0.6350 0.7513 0.6350 0.7969
No log 5.6786 318 0.6219 0.7513 0.6219 0.7886
No log 5.7143 320 0.6127 0.7568 0.6127 0.7827
No log 5.75 322 0.5961 0.7702 0.5961 0.7721
No log 5.7857 324 0.5877 0.7812 0.5877 0.7666
No log 5.8214 326 0.5773 0.7757 0.5773 0.7598
No log 5.8571 328 0.5553 0.7335 0.5553 0.7452
No log 5.8929 330 0.5551 0.7375 0.5551 0.7451
No log 5.9286 332 0.5733 0.7503 0.5733 0.7572
No log 5.9643 334 0.6104 0.7519 0.6104 0.7813
No log 6.0 336 0.6364 0.7439 0.6364 0.7977
No log 6.0357 338 0.6969 0.7540 0.6969 0.8348
No log 6.0714 340 0.7155 0.7418 0.7155 0.8459
No log 6.1071 342 0.6759 0.7490 0.6759 0.8222
No log 6.1429 344 0.6219 0.7415 0.6219 0.7886
No log 6.1786 346 0.5971 0.7574 0.5971 0.7727
No log 6.2143 348 0.5976 0.7696 0.5976 0.7730
No log 6.25 350 0.6409 0.7382 0.6409 0.8006
No log 6.2857 352 0.7142 0.7517 0.7142 0.8451
No log 6.3214 354 0.7575 0.7508 0.7575 0.8704
No log 6.3571 356 0.7284 0.7548 0.7284 0.8535
No log 6.3929 358 0.6679 0.7507 0.6679 0.8173
No log 6.4286 360 0.6247 0.7728 0.6247 0.7904
No log 6.4643 362 0.5871 0.7709 0.5871 0.7662
No log 6.5 364 0.5866 0.7553 0.5866 0.7659
No log 6.5357 366 0.6006 0.7678 0.6006 0.7750
No log 6.5714 368 0.6395 0.7613 0.6395 0.7997
No log 6.6071 370 0.6521 0.7510 0.6521 0.8075
No log 6.6429 372 0.6709 0.7429 0.6709 0.8191
No log 6.6786 374 0.6616 0.7545 0.6616 0.8134
No log 6.7143 376 0.6559 0.7551 0.6559 0.8099
No log 6.75 378 0.6312 0.7620 0.6312 0.7945
No log 6.7857 380 0.6494 0.7633 0.6494 0.8058
No log 6.8214 382 0.7066 0.7634 0.7066 0.8406
No log 6.8571 384 0.7616 0.7391 0.7616 0.8727
No log 6.8929 386 0.7516 0.7413 0.7516 0.8670
No log 6.9286 388 0.7202 0.7413 0.7202 0.8486
No log 6.9643 390 0.6630 0.7468 0.6630 0.8143
No log 7.0 392 0.6001 0.7501 0.6001 0.7747
No log 7.0357 394 0.5774 0.7776 0.5774 0.7599
No log 7.0714 396 0.5798 0.7690 0.5798 0.7614
No log 7.1071 398 0.6036 0.7678 0.6036 0.7769
No log 7.1429 400 0.6428 0.7639 0.6428 0.8017
No log 7.1786 402 0.6764 0.7523 0.6764 0.8225
No log 7.2143 404 0.6925 0.7536 0.6925 0.8322
No log 7.25 406 0.6883 0.7536 0.6883 0.8296
No log 7.2857 408 0.6557 0.7668 0.6557 0.8098
No log 7.3214 410 0.6253 0.7547 0.6253 0.7908
No log 7.3571 412 0.5932 0.7678 0.5932 0.7702
No log 7.3929 414 0.5791 0.7733 0.5791 0.7610
No log 7.4286 416 0.5941 0.7501 0.5941 0.7707
No log 7.4643 418 0.6291 0.7558 0.6291 0.7932
No log 7.5 420 0.6569 0.7501 0.6569 0.8105
No log 7.5357 422 0.6897 0.7414 0.6897 0.8305
No log 7.5714 424 0.6864 0.7414 0.6864 0.8285
No log 7.6071 426 0.6717 0.7456 0.6717 0.8196
No log 7.6429 428 0.6568 0.7537 0.6568 0.8104
No log 7.6786 430 0.6252 0.7747 0.6252 0.7907
No log 7.7143 432 0.6009 0.7833 0.6009 0.7752
No log 7.75 434 0.5987 0.7795 0.5987 0.7738
No log 7.7857 436 0.6208 0.7845 0.6208 0.7879
No log 7.8214 438 0.6458 0.7650 0.6458 0.8036
No log 7.8571 440 0.6678 0.7603 0.6678 0.8172
No log 7.8929 442 0.6746 0.7462 0.6746 0.8214
No log 7.9286 444 0.6783 0.7517 0.6783 0.8236
No log 7.9643 446 0.7081 0.7571 0.7081 0.8415
No log 8.0 448 0.7188 0.7432 0.7188 0.8478
No log 8.0357 450 0.6970 0.7611 0.6970 0.8349
No log 8.0714 452 0.6595 0.7627 0.6595 0.8121
No log 8.1071 454 0.6201 0.7644 0.6201 0.7875
No log 8.1429 456 0.6032 0.7660 0.6032 0.7767
No log 8.1786 458 0.5906 0.7806 0.5906 0.7685
No log 8.2143 460 0.5827 0.7776 0.5827 0.7633
No log 8.25 462 0.5912 0.7690 0.5912 0.7689
No log 8.2857 464 0.5979 0.7585 0.5979 0.7733
No log 8.3214 466 0.6049 0.7635 0.6049 0.7777
No log 8.3571 468 0.6118 0.7592 0.6118 0.7822
No log 8.3929 470 0.6137 0.7592 0.6137 0.7834
No log 8.4286 472 0.6123 0.7592 0.6123 0.7825
No log 8.4643 474 0.6079 0.7592 0.6079 0.7797
No log 8.5 476 0.6049 0.7629 0.6049 0.7778
No log 8.5357 478 0.6117 0.7586 0.6117 0.7821
No log 8.5714 480 0.6072 0.7586 0.6072 0.7792
No log 8.6071 482 0.6106 0.7586 0.6106 0.7814
No log 8.6429 484 0.6234 0.7586 0.6234 0.7896
No log 8.6786 486 0.6358 0.7577 0.6358 0.7974
No log 8.7143 488 0.6342 0.7577 0.6342 0.7963
No log 8.75 490 0.6215 0.7661 0.6215 0.7884
No log 8.7857 492 0.6050 0.7629 0.6050 0.7778
No log 8.8214 494 0.5961 0.7635 0.5961 0.7721
No log 8.8571 496 0.5827 0.7561 0.5827 0.7634
No log 8.8929 498 0.5781 0.7561 0.5781 0.7603
0.3201 8.9286 500 0.5805 0.7598 0.5805 0.7619
0.3201 8.9643 502 0.5809 0.7598 0.5809 0.7622
0.3201 9.0 504 0.5840 0.7635 0.5840 0.7642
0.3201 9.0357 506 0.5850 0.7635 0.5850 0.7648
0.3201 9.0714 508 0.5929 0.7672 0.5929 0.7700
0.3201 9.1071 510 0.6037 0.7586 0.6037 0.7770
0.3201 9.1429 512 0.6060 0.7586 0.6060 0.7785
0.3201 9.1786 514 0.6111 0.7586 0.6111 0.7817
0.3201 9.2143 516 0.6083 0.7661 0.6083 0.7800
0.3201 9.25 518 0.6038 0.7746 0.6038 0.7770
0.3201 9.2857 520 0.5951 0.7635 0.5951 0.7714
0.3201 9.3214 522 0.5827 0.7598 0.5827 0.7634
0.3201 9.3571 524 0.5770 0.7622 0.5770 0.7596
0.3201 9.3929 526 0.5723 0.7622 0.5723 0.7565
0.3201 9.4286 528 0.5735 0.7622 0.5735 0.7573
0.3201 9.4643 530 0.5754 0.7598 0.5754 0.7585
0.3201 9.5 532 0.5758 0.7622 0.5758 0.7588
0.3201 9.5357 534 0.5780 0.7598 0.5780 0.7602
0.3201 9.5714 536 0.5805 0.7598 0.5805 0.7619
0.3201 9.6071 538 0.5830 0.7672 0.5830 0.7635
0.3201 9.6429 540 0.5839 0.7672 0.5839 0.7641
0.3201 9.6786 542 0.5884 0.7672 0.5884 0.7670
0.3201 9.7143 544 0.5926 0.7672 0.5926 0.7698
0.3201 9.75 546 0.5964 0.7709 0.5964 0.7723
0.3201 9.7857 548 0.5978 0.7709 0.5978 0.7732
0.3201 9.8214 550 0.5984 0.7709 0.5984 0.7736
0.3201 9.8571 552 0.5974 0.7709 0.5974 0.7729
0.3201 9.8929 554 0.5971 0.7709 0.5971 0.7727
0.3201 9.9286 556 0.5965 0.7709 0.5965 0.7723
0.3201 9.9643 558 0.5958 0.7709 0.5958 0.7719
0.3201 10.0 560 0.5953 0.7709 0.5953 0.7716

Framework versions

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