ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_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: 0.5821
  • Qwk: 0.6979
  • Mse: 0.5821
  • Rmse: 0.7629

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 0.0253 2 5.2205 0.0236 5.2205 2.2848
No log 0.0506 4 3.1785 0.0989 3.1785 1.7828
No log 0.0759 6 2.1988 0.0399 2.1988 1.4828
No log 0.1013 8 1.6400 0.0717 1.6400 1.2806
No log 0.1266 10 1.4880 0.1429 1.4880 1.2198
No log 0.1519 12 1.2509 0.2447 1.2509 1.1184
No log 0.1772 14 1.1199 0.2265 1.1199 1.0583
No log 0.2025 16 1.1238 0.3653 1.1238 1.0601
No log 0.2278 18 1.4970 0.2184 1.4970 1.2235
No log 0.2532 20 1.3520 0.3274 1.3520 1.1627
No log 0.2785 22 1.2757 0.3614 1.2757 1.1295
No log 0.3038 24 1.0407 0.4093 1.0407 1.0202
No log 0.3291 26 0.9251 0.3953 0.9251 0.9618
No log 0.3544 28 0.9261 0.4421 0.9261 0.9623
No log 0.3797 30 0.8958 0.3978 0.8958 0.9465
No log 0.4051 32 0.8744 0.4494 0.8744 0.9351
No log 0.4304 34 0.9787 0.4620 0.9787 0.9893
No log 0.4557 36 1.1873 0.4419 1.1873 1.0897
No log 0.4810 38 1.1891 0.4395 1.1891 1.0904
No log 0.5063 40 0.9556 0.4686 0.9556 0.9775
No log 0.5316 42 0.9628 0.4463 0.9628 0.9812
No log 0.5570 44 0.9570 0.4976 0.9570 0.9783
No log 0.5823 46 0.8179 0.4954 0.8179 0.9044
No log 0.6076 48 0.8647 0.4492 0.8647 0.9299
No log 0.6329 50 0.8858 0.4323 0.8858 0.9412
No log 0.6582 52 0.7615 0.5385 0.7615 0.8726
No log 0.6835 54 0.6810 0.6550 0.6810 0.8252
No log 0.7089 56 0.6640 0.6807 0.6640 0.8149
No log 0.7342 58 0.7315 0.6399 0.7315 0.8553
No log 0.7595 60 0.8014 0.5932 0.8014 0.8952
No log 0.7848 62 0.7172 0.6636 0.7172 0.8469
No log 0.8101 64 0.6391 0.6610 0.6391 0.7995
No log 0.8354 66 0.7450 0.6094 0.7450 0.8632
No log 0.8608 68 0.8106 0.5801 0.8106 0.9003
No log 0.8861 70 0.7049 0.6534 0.7049 0.8396
No log 0.9114 72 0.7782 0.6347 0.7782 0.8821
No log 0.9367 74 0.8015 0.6377 0.8015 0.8952
No log 0.9620 76 0.8178 0.6169 0.8178 0.9043
No log 0.9873 78 0.9366 0.5650 0.9366 0.9678
No log 1.0127 80 0.8428 0.6455 0.8428 0.9180
No log 1.0380 82 0.7598 0.6334 0.7598 0.8717
No log 1.0633 84 0.7479 0.6449 0.7479 0.8648
No log 1.0886 86 0.7339 0.6722 0.7339 0.8567
No log 1.1139 88 0.7658 0.6503 0.7658 0.8751
No log 1.1392 90 0.8242 0.6114 0.8242 0.9078
No log 1.1646 92 0.6923 0.6867 0.6923 0.8321
No log 1.1899 94 0.6828 0.6657 0.6828 0.8263
No log 1.2152 96 0.6608 0.7190 0.6608 0.8129
No log 1.2405 98 0.7406 0.6665 0.7406 0.8606
No log 1.2658 100 0.6705 0.7100 0.6705 0.8188
No log 1.2911 102 0.6945 0.6622 0.6945 0.8334
No log 1.3165 104 0.8122 0.6760 0.8122 0.9012
No log 1.3418 106 0.9056 0.6946 0.9056 0.9516
No log 1.3671 108 0.7862 0.6865 0.7862 0.8867
No log 1.3924 110 0.6542 0.7022 0.6542 0.8088
No log 1.4177 112 0.6390 0.7151 0.6390 0.7994
No log 1.4430 114 0.7779 0.6084 0.7779 0.8820
No log 1.4684 116 0.9348 0.5944 0.9348 0.9669
No log 1.4937 118 0.9147 0.5744 0.9147 0.9564
No log 1.5190 120 0.7569 0.6006 0.7569 0.8700
No log 1.5443 122 0.6401 0.6964 0.6401 0.8001
No log 1.5696 124 0.6535 0.6777 0.6535 0.8084
No log 1.5949 126 0.6980 0.7021 0.6980 0.8354
No log 1.6203 128 0.7105 0.7018 0.7105 0.8429
No log 1.6456 130 0.6880 0.6956 0.6880 0.8295
No log 1.6709 132 0.6492 0.6920 0.6492 0.8058
No log 1.6962 134 0.6640 0.6758 0.6640 0.8149
No log 1.7215 136 0.7179 0.6397 0.7179 0.8473
No log 1.7468 138 0.7549 0.6149 0.7549 0.8689
No log 1.7722 140 0.8028 0.6278 0.8028 0.8960
No log 1.7975 142 0.7360 0.6268 0.7360 0.8579
No log 1.8228 144 0.7244 0.6113 0.7244 0.8511
No log 1.8481 146 0.7586 0.6141 0.7586 0.8709
No log 1.8734 148 0.8355 0.6115 0.8355 0.9141
No log 1.8987 150 0.8288 0.6050 0.8288 0.9104
No log 1.9241 152 0.7591 0.5047 0.7591 0.8712
No log 1.9494 154 0.9754 0.5508 0.9754 0.9876
No log 1.9747 156 0.9920 0.5468 0.9920 0.9960
No log 2.0 158 0.7839 0.5338 0.7839 0.8854
No log 2.0253 160 0.8950 0.6007 0.8950 0.9460
No log 2.0506 162 1.4854 0.3713 1.4854 1.2188
No log 2.0759 164 1.6826 0.3544 1.6826 1.2971
No log 2.1013 166 1.3402 0.4702 1.3402 1.1577
No log 2.1266 168 0.9919 0.6166 0.9919 0.9960
No log 2.1519 170 0.9683 0.6166 0.9683 0.9840
No log 2.1772 172 1.0002 0.5649 1.0002 1.0001
No log 2.2025 174 0.8990 0.6305 0.8990 0.9482
No log 2.2278 176 0.7741 0.6876 0.7741 0.8798
No log 2.2532 178 0.7449 0.6884 0.7449 0.8631
No log 2.2785 180 0.7312 0.6867 0.7312 0.8551
No log 2.3038 182 0.7694 0.6865 0.7694 0.8772
No log 2.3291 184 0.8819 0.6363 0.8819 0.9391
No log 2.3544 186 0.9747 0.6266 0.9747 0.9873
No log 2.3797 188 0.7830 0.6486 0.7830 0.8849
No log 2.4051 190 0.6618 0.6940 0.6618 0.8135
No log 2.4304 192 0.7038 0.6866 0.7038 0.8389
No log 2.4557 194 0.6791 0.6636 0.6791 0.8241
No log 2.4810 196 0.7309 0.6067 0.7309 0.8549
No log 2.5063 198 0.7911 0.6325 0.7911 0.8894
No log 2.5316 200 0.7075 0.6056 0.7075 0.8411
No log 2.5570 202 0.6987 0.6262 0.6987 0.8359
No log 2.5823 204 0.8407 0.5843 0.8407 0.9169
No log 2.6076 206 0.7696 0.6228 0.7696 0.8773
No log 2.6329 208 0.6292 0.7315 0.6292 0.7932
No log 2.6582 210 0.8088 0.6494 0.8088 0.8993
No log 2.6835 212 0.9805 0.6280 0.9805 0.9902
No log 2.7089 214 0.8340 0.6666 0.8340 0.9133
No log 2.7342 216 0.6852 0.6783 0.6852 0.8278
No log 2.7595 218 0.6646 0.7130 0.6646 0.8152
No log 2.7848 220 0.7174 0.6455 0.7174 0.8470
No log 2.8101 222 0.8468 0.5730 0.8468 0.9202
No log 2.8354 224 0.8304 0.5574 0.8304 0.9113
No log 2.8608 226 0.7337 0.6639 0.7337 0.8566
No log 2.8861 228 0.6847 0.6380 0.6847 0.8275
No log 2.9114 230 0.6839 0.6893 0.6839 0.8270
No log 2.9367 232 0.7546 0.6674 0.7546 0.8687
No log 2.9620 234 0.8780 0.6251 0.8780 0.9370
No log 2.9873 236 0.9072 0.6036 0.9072 0.9525
No log 3.0127 238 0.9721 0.5890 0.9721 0.9859
No log 3.0380 240 0.8878 0.6084 0.8878 0.9423
No log 3.0633 242 0.7749 0.6405 0.7749 0.8803
No log 3.0886 244 0.7188 0.6835 0.7188 0.8478
No log 3.1139 246 0.6935 0.6561 0.6935 0.8328
No log 3.1392 248 0.7232 0.6573 0.7232 0.8504
No log 3.1646 250 0.7749 0.5931 0.7749 0.8803
No log 3.1899 252 0.7832 0.5843 0.7832 0.8850
No log 3.2152 254 0.7547 0.6470 0.7547 0.8688
No log 3.2405 256 0.7138 0.6848 0.7138 0.8449
No log 3.2658 258 0.7124 0.7055 0.7124 0.8441
No log 3.2911 260 0.7262 0.6904 0.7262 0.8522
No log 3.3165 262 0.7163 0.6768 0.7163 0.8463
No log 3.3418 264 0.6630 0.7077 0.6630 0.8142
No log 3.3671 266 0.7011 0.6787 0.7011 0.8373
No log 3.3924 268 0.7259 0.6582 0.7259 0.8520
No log 3.4177 270 0.6954 0.7038 0.6954 0.8339
No log 3.4430 272 0.7445 0.6727 0.7445 0.8628
No log 3.4684 274 0.8135 0.6594 0.8135 0.9019
No log 3.4937 276 0.7904 0.6630 0.7904 0.8891
No log 3.5190 278 0.8883 0.6313 0.8883 0.9425
No log 3.5443 280 0.8899 0.5951 0.8899 0.9433
No log 3.5696 282 0.7520 0.6486 0.7520 0.8672
No log 3.5949 284 0.6472 0.6843 0.6472 0.8045
No log 3.6203 286 0.5872 0.7401 0.5872 0.7663
No log 3.6456 288 0.5846 0.7575 0.5846 0.7646
No log 3.6709 290 0.5751 0.7389 0.5751 0.7584
No log 3.6962 292 0.5816 0.7400 0.5816 0.7627
No log 3.7215 294 0.6171 0.6948 0.6171 0.7855
No log 3.7468 296 0.5849 0.7219 0.5849 0.7648
No log 3.7722 298 0.6479 0.6600 0.6479 0.8049
No log 3.7975 300 0.7422 0.6225 0.7422 0.8615
No log 3.8228 302 0.6838 0.6684 0.6838 0.8269
No log 3.8481 304 0.6094 0.7259 0.6094 0.7806
No log 3.8734 306 0.7829 0.6245 0.7829 0.8848
No log 3.8987 308 0.8515 0.6136 0.8515 0.9228
No log 3.9241 310 0.7851 0.6542 0.7851 0.8861
No log 3.9494 312 0.7116 0.6807 0.7116 0.8435
No log 3.9747 314 0.7191 0.6876 0.7191 0.8480
No log 4.0 316 0.7655 0.6912 0.7655 0.8749
No log 4.0253 318 0.7544 0.6859 0.7544 0.8686
No log 4.0506 320 0.7379 0.6938 0.7379 0.8590
No log 4.0759 322 0.7124 0.6066 0.7124 0.8440
No log 4.1013 324 0.7112 0.5955 0.7112 0.8433
No log 4.1266 326 0.7074 0.6610 0.7074 0.8411
No log 4.1519 328 0.7407 0.6818 0.7407 0.8606
No log 4.1772 330 0.7568 0.7002 0.7568 0.8699
No log 4.2025 332 0.7636 0.7002 0.7636 0.8738
No log 4.2278 334 0.7540 0.6879 0.7540 0.8683
No log 4.2532 336 0.7330 0.6875 0.7330 0.8562
No log 4.2785 338 0.7500 0.6969 0.7500 0.8660
No log 4.3038 340 0.7479 0.6436 0.7479 0.8648
No log 4.3291 342 0.7402 0.6010 0.7402 0.8603
No log 4.3544 344 0.7514 0.6118 0.7514 0.8668
No log 4.3797 346 0.7827 0.6797 0.7827 0.8847
No log 4.4051 348 0.7899 0.6605 0.7899 0.8888
No log 4.4304 350 0.7344 0.6904 0.7344 0.8569
No log 4.4557 352 0.6790 0.6947 0.6790 0.8240
No log 4.4810 354 0.7193 0.6852 0.7193 0.8481
No log 4.5063 356 0.6974 0.6993 0.6974 0.8351
No log 4.5316 358 0.6567 0.7202 0.6567 0.8103
No log 4.5570 360 0.6256 0.7310 0.6256 0.7909
No log 4.5823 362 0.6327 0.7615 0.6327 0.7954
No log 4.6076 364 0.6286 0.7396 0.6286 0.7928
No log 4.6329 366 0.6006 0.7460 0.6006 0.7750
No log 4.6582 368 0.6340 0.7109 0.6340 0.7963
No log 4.6835 370 0.6632 0.7217 0.6632 0.8144
No log 4.7089 372 0.6407 0.7079 0.6407 0.8004
No log 4.7342 374 0.6001 0.7321 0.6001 0.7746
No log 4.7595 376 0.6157 0.7360 0.6157 0.7847
No log 4.7848 378 0.7092 0.6793 0.7092 0.8422
No log 4.8101 380 0.7360 0.6593 0.7360 0.8579
No log 4.8354 382 0.6895 0.6897 0.6895 0.8304
No log 4.8608 384 0.6710 0.6837 0.6710 0.8192
No log 4.8861 386 0.6583 0.6989 0.6583 0.8113
No log 4.9114 388 0.6535 0.7026 0.6535 0.8084
No log 4.9367 390 0.6952 0.6757 0.6952 0.8338
No log 4.9620 392 0.6822 0.6593 0.6822 0.8260
No log 4.9873 394 0.6763 0.6108 0.6763 0.8224
No log 5.0127 396 0.6821 0.6108 0.6821 0.8259
No log 5.0380 398 0.6665 0.6527 0.6665 0.8164
No log 5.0633 400 0.6521 0.6563 0.6521 0.8075
No log 5.0886 402 0.6240 0.7040 0.6240 0.7899
No log 5.1139 404 0.6201 0.7121 0.6201 0.7875
No log 5.1392 406 0.6432 0.6888 0.6432 0.8020
No log 5.1646 408 0.6835 0.6791 0.6835 0.8267
No log 5.1899 410 0.6828 0.6577 0.6828 0.8263
No log 5.2152 412 0.6774 0.6934 0.6774 0.8230
No log 5.2405 414 0.7045 0.6646 0.7045 0.8393
No log 5.2658 416 0.7562 0.6619 0.7562 0.8696
No log 5.2911 418 0.7161 0.6709 0.7161 0.8462
No log 5.3165 420 0.6708 0.6945 0.6708 0.8190
No log 5.3418 422 0.6734 0.7169 0.6734 0.8206
No log 5.3671 424 0.6545 0.6767 0.6545 0.8090
No log 5.3924 426 0.6487 0.6652 0.6487 0.8054
No log 5.4177 428 0.6430 0.6691 0.6430 0.8019
No log 5.4430 430 0.6106 0.6972 0.6106 0.7814
No log 5.4684 432 0.5960 0.7379 0.5960 0.7720
No log 5.4937 434 0.6191 0.7140 0.6191 0.7868
No log 5.5190 436 0.6096 0.6968 0.6096 0.7808
No log 5.5443 438 0.6157 0.6887 0.6157 0.7846
No log 5.5696 440 0.6215 0.6410 0.6215 0.7883
No log 5.5949 442 0.6188 0.6606 0.6188 0.7866
No log 5.6203 444 0.6224 0.6732 0.6224 0.7889
No log 5.6456 446 0.6737 0.6888 0.6737 0.8208
No log 5.6709 448 0.6612 0.6857 0.6612 0.8131
No log 5.6962 450 0.6149 0.6779 0.6149 0.7842
No log 5.7215 452 0.6148 0.6572 0.6148 0.7841
No log 5.7468 454 0.6249 0.6954 0.6249 0.7905
No log 5.7722 456 0.6670 0.6792 0.6670 0.8167
No log 5.7975 458 0.6774 0.6812 0.6774 0.8230
No log 5.8228 460 0.6696 0.6821 0.6696 0.8183
No log 5.8481 462 0.6541 0.6966 0.6541 0.8088
No log 5.8734 464 0.6706 0.6772 0.6706 0.8189
No log 5.8987 466 0.6925 0.6518 0.6925 0.8322
No log 5.9241 468 0.6861 0.6704 0.6861 0.8283
No log 5.9494 470 0.6654 0.6865 0.6654 0.8157
No log 5.9747 472 0.6830 0.6884 0.6830 0.8264
No log 6.0 474 0.7238 0.6405 0.7238 0.8508
No log 6.0253 476 0.7257 0.6557 0.7257 0.8519
No log 6.0506 478 0.6732 0.6933 0.6732 0.8205
No log 6.0759 480 0.6497 0.6526 0.6497 0.8060
No log 6.1013 482 0.6570 0.6630 0.6570 0.8106
No log 6.1266 484 0.7222 0.6496 0.7222 0.8498
No log 6.1519 486 0.7737 0.6403 0.7737 0.8796
No log 6.1772 488 0.7475 0.6296 0.7475 0.8646
No log 6.2025 490 0.6866 0.6174 0.6866 0.8286
No log 6.2278 492 0.6464 0.6462 0.6464 0.8040
No log 6.2532 494 0.6169 0.6698 0.6169 0.7854
No log 6.2785 496 0.6070 0.7088 0.6070 0.7791
No log 6.3038 498 0.6184 0.7021 0.6184 0.7864
0.3897 6.3291 500 0.6005 0.7231 0.6005 0.7749
0.3897 6.3544 502 0.5945 0.7533 0.5945 0.7710
0.3897 6.3797 504 0.6097 0.7428 0.6097 0.7808
0.3897 6.4051 506 0.5588 0.7455 0.5588 0.7475
0.3897 6.4304 508 0.5591 0.7012 0.5591 0.7477
0.3897 6.4557 510 0.6002 0.7038 0.6002 0.7747
0.3897 6.4810 512 0.6018 0.6819 0.6018 0.7758
0.3897 6.5063 514 0.5936 0.6808 0.5936 0.7705
0.3897 6.5316 516 0.5821 0.6979 0.5821 0.7629

Framework versions

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