ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_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: 0.5416
  • Qwk: 0.6557
  • Mse: 0.5416
  • Rmse: 0.7359

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 0.0260 2 4.1637 0.0125 4.1637 2.0405
No log 0.0519 4 2.2931 0.0943 2.2931 1.5143
No log 0.0779 6 1.6572 0.0639 1.6572 1.2873
No log 0.1039 8 1.1761 0.1471 1.1761 1.0845
No log 0.1299 10 1.0906 0.2291 1.0906 1.0443
No log 0.1558 12 1.2331 0.0670 1.2331 1.1104
No log 0.1818 14 1.5440 -0.0402 1.5440 1.2426
No log 0.2078 16 1.2177 0.1644 1.2177 1.1035
No log 0.2338 18 1.1341 0.1465 1.1341 1.0650
No log 0.2597 20 1.0868 0.1629 1.0868 1.0425
No log 0.2857 22 1.0385 0.2291 1.0385 1.0191
No log 0.3117 24 1.2292 0.1433 1.2292 1.1087
No log 0.3377 26 1.1974 0.2294 1.1974 1.0943
No log 0.3636 28 1.2084 0.2750 1.2084 1.0993
No log 0.3896 30 0.8918 0.4755 0.8918 0.9444
No log 0.4156 32 0.9120 0.4389 0.9120 0.9550
No log 0.4416 34 1.0755 0.2843 1.0755 1.0370
No log 0.4675 36 0.8523 0.4739 0.8523 0.9232
No log 0.4935 38 0.7961 0.4313 0.7961 0.8923
No log 0.5195 40 0.7842 0.3950 0.7842 0.8856
No log 0.5455 42 0.8053 0.4456 0.8053 0.8974
No log 0.5714 44 0.9135 0.3734 0.9135 0.9558
No log 0.5974 46 1.0655 0.1576 1.0655 1.0323
No log 0.6234 48 0.8986 0.3734 0.8986 0.9479
No log 0.6494 50 0.7321 0.5509 0.7321 0.8556
No log 0.6753 52 0.8618 0.3939 0.8618 0.9283
No log 0.7013 54 0.7439 0.5317 0.7439 0.8625
No log 0.7273 56 0.7832 0.4330 0.7832 0.8850
No log 0.7532 58 0.9274 0.3526 0.9274 0.9630
No log 0.7792 60 0.8096 0.3695 0.8096 0.8998
No log 0.8052 62 0.8019 0.4727 0.8019 0.8955
No log 0.8312 64 1.3618 0.3519 1.3618 1.1670
No log 0.8571 66 1.4334 0.2884 1.4334 1.1973
No log 0.8831 68 0.9860 0.4361 0.9860 0.9930
No log 0.9091 70 0.7336 0.5046 0.7336 0.8565
No log 0.9351 72 0.8242 0.3577 0.8242 0.9078
No log 0.9610 74 0.7693 0.4592 0.7693 0.8771
No log 0.9870 76 0.7209 0.5978 0.7209 0.8490
No log 1.0130 78 0.8235 0.4444 0.8235 0.9075
No log 1.0390 80 0.8958 0.4558 0.8958 0.9465
No log 1.0649 82 0.8709 0.3954 0.8709 0.9332
No log 1.0909 84 0.7641 0.5088 0.7641 0.8741
No log 1.1169 86 0.7208 0.5288 0.7208 0.8490
No log 1.1429 88 0.7127 0.5259 0.7127 0.8442
No log 1.1688 90 0.7706 0.4613 0.7706 0.8778
No log 1.1948 92 0.8103 0.5368 0.8103 0.9002
No log 1.2208 94 0.7678 0.5477 0.7678 0.8762
No log 1.2468 96 0.7764 0.5746 0.7764 0.8811
No log 1.2727 98 0.9399 0.5190 0.9399 0.9695
No log 1.2987 100 0.9730 0.5374 0.9730 0.9864
No log 1.3247 102 0.7337 0.5510 0.7337 0.8566
No log 1.3506 104 0.7062 0.5726 0.7062 0.8404
No log 1.3766 106 0.6796 0.6247 0.6796 0.8244
No log 1.4026 108 0.7126 0.5482 0.7126 0.8441
No log 1.4286 110 0.6556 0.5626 0.6556 0.8097
No log 1.4545 112 0.6651 0.6097 0.6651 0.8155
No log 1.4805 114 0.7616 0.5825 0.7616 0.8727
No log 1.5065 116 0.7772 0.5922 0.7772 0.8816
No log 1.5325 118 0.6605 0.5949 0.6605 0.8127
No log 1.5584 120 0.9077 0.5150 0.9077 0.9527
No log 1.5844 122 1.1878 0.4647 1.1878 1.0898
No log 1.6104 124 1.1292 0.4646 1.1292 1.0627
No log 1.6364 126 0.8334 0.4889 0.8334 0.9129
No log 1.6623 128 0.7018 0.5221 0.7018 0.8377
No log 1.6883 130 0.6888 0.5221 0.6888 0.8300
No log 1.7143 132 0.6916 0.5223 0.6916 0.8317
No log 1.7403 134 0.7614 0.5647 0.7614 0.8726
No log 1.7662 136 0.9773 0.4382 0.9773 0.9886
No log 1.7922 138 1.1301 0.4425 1.1301 1.0630
No log 1.8182 140 1.0724 0.3884 1.0724 1.0356
No log 1.8442 142 0.9280 0.4257 0.9280 0.9634
No log 1.8701 144 0.7360 0.4168 0.7360 0.8579
No log 1.8961 146 0.6808 0.4898 0.6808 0.8251
No log 1.9221 148 0.6933 0.5835 0.6933 0.8327
No log 1.9481 150 0.7998 0.5119 0.7998 0.8943
No log 1.9740 152 1.1913 0.4308 1.1913 1.0915
No log 2.0 154 1.4965 0.3766 1.4965 1.2233
No log 2.0260 156 1.4824 0.3707 1.4824 1.2175
No log 2.0519 158 1.1939 0.3686 1.1939 1.0926
No log 2.0779 160 0.8713 0.5213 0.8713 0.9335
No log 2.1039 162 0.7837 0.5301 0.7837 0.8852
No log 2.1299 164 0.7998 0.5925 0.7998 0.8943
No log 2.1558 166 0.7681 0.5738 0.7681 0.8764
No log 2.1818 168 0.7655 0.5363 0.7655 0.8749
No log 2.2078 170 0.8817 0.5676 0.8817 0.9390
No log 2.2338 172 1.0552 0.4866 1.0552 1.0273
No log 2.2597 174 1.0561 0.4435 1.0561 1.0277
No log 2.2857 176 1.0174 0.4444 1.0174 1.0086
No log 2.3117 178 0.8988 0.4987 0.8988 0.9481
No log 2.3377 180 0.8061 0.5219 0.8061 0.8978
No log 2.3636 182 0.7544 0.5728 0.7544 0.8685
No log 2.3896 184 0.7900 0.5655 0.7900 0.8888
No log 2.4156 186 0.9636 0.4384 0.9636 0.9816
No log 2.4416 188 1.2372 0.4320 1.2372 1.1123
No log 2.4675 190 1.2532 0.4147 1.2532 1.1195
No log 2.4935 192 1.0626 0.4007 1.0626 1.0308
No log 2.5195 194 0.8382 0.5014 0.8382 0.9155
No log 2.5455 196 0.7165 0.4952 0.7165 0.8465
No log 2.5714 198 0.6947 0.5565 0.6947 0.8335
No log 2.5974 200 0.6795 0.5688 0.6795 0.8243
No log 2.6234 202 0.6162 0.6407 0.6162 0.7850
No log 2.6494 204 0.6005 0.6658 0.6005 0.7749
No log 2.6753 206 0.5961 0.6667 0.5961 0.7721
No log 2.7013 208 0.6041 0.6368 0.6041 0.7773
No log 2.7273 210 0.6297 0.6368 0.6297 0.7935
No log 2.7532 212 0.7004 0.5813 0.7004 0.8369
No log 2.7792 214 0.7842 0.5342 0.7842 0.8855
No log 2.8052 216 0.7095 0.6012 0.7095 0.8423
No log 2.8312 218 0.6331 0.7021 0.6331 0.7957
No log 2.8571 220 0.6689 0.6911 0.6689 0.8178
No log 2.8831 222 0.6284 0.7061 0.6284 0.7927
No log 2.9091 224 0.7235 0.5739 0.7235 0.8506
No log 2.9351 226 0.8296 0.5666 0.8296 0.9108
No log 2.9610 228 0.7643 0.5664 0.7643 0.8743
No log 2.9870 230 0.6361 0.5335 0.6361 0.7976
No log 3.0130 232 0.5839 0.6451 0.5839 0.7641
No log 3.0390 234 0.7415 0.5756 0.7415 0.8611
No log 3.0649 236 0.8862 0.5307 0.8862 0.9414
No log 3.0909 238 0.8771 0.5307 0.8771 0.9366
No log 3.1169 240 0.7310 0.5318 0.7310 0.8550
No log 3.1429 242 0.6150 0.5833 0.6150 0.7842
No log 3.1688 244 0.7181 0.5212 0.7181 0.8474
No log 3.1948 246 0.7632 0.5357 0.7632 0.8736
No log 3.2208 248 0.6973 0.5327 0.6973 0.8350
No log 3.2468 250 0.6342 0.5650 0.6342 0.7964
No log 3.2727 252 0.6340 0.6196 0.6340 0.7963
No log 3.2987 254 0.6405 0.6341 0.6405 0.8003
No log 3.3247 256 0.6462 0.6442 0.6462 0.8039
No log 3.3506 258 0.6530 0.5939 0.6530 0.8081
No log 3.3766 260 0.6606 0.5943 0.6606 0.8127
No log 3.4026 262 0.6726 0.5669 0.6726 0.8201
No log 3.4286 264 0.6714 0.6249 0.6714 0.8194
No log 3.4545 266 0.6762 0.5646 0.6762 0.8223
No log 3.4805 268 0.6863 0.5752 0.6863 0.8284
No log 3.5065 270 0.6975 0.5700 0.6975 0.8352
No log 3.5325 272 0.6904 0.5712 0.6904 0.8309
No log 3.5584 274 0.6863 0.5656 0.6863 0.8285
No log 3.5844 276 0.6672 0.6456 0.6672 0.8168
No log 3.6104 278 0.6519 0.6321 0.6519 0.8074
No log 3.6364 280 0.6173 0.6711 0.6173 0.7857
No log 3.6623 282 0.6118 0.6618 0.6118 0.7822
No log 3.6883 284 0.6433 0.6029 0.6433 0.8020
No log 3.7143 286 0.6075 0.7117 0.6075 0.7794
No log 3.7403 288 0.6054 0.6288 0.6054 0.7781
No log 3.7662 290 0.6111 0.6094 0.6111 0.7817
No log 3.7922 292 0.6127 0.6652 0.6127 0.7827
No log 3.8182 294 0.6255 0.6652 0.6255 0.7909
No log 3.8442 296 0.6050 0.6787 0.6050 0.7778
No log 3.8701 298 0.6032 0.7056 0.6032 0.7767
No log 3.8961 300 0.6126 0.6721 0.6126 0.7827
No log 3.9221 302 0.6491 0.6175 0.6491 0.8057
No log 3.9481 304 0.6219 0.6780 0.6219 0.7886
No log 3.9740 306 0.6112 0.6840 0.6112 0.7818
No log 4.0 308 0.7059 0.5809 0.7059 0.8402
No log 4.0260 310 0.7759 0.5490 0.7759 0.8808
No log 4.0519 312 0.7547 0.5157 0.7547 0.8687
No log 4.0779 314 0.6701 0.4626 0.6701 0.8186
No log 4.1039 316 0.6448 0.5195 0.6448 0.8030
No log 4.1299 318 0.6487 0.4951 0.6487 0.8054
No log 4.1558 320 0.6364 0.5171 0.6364 0.7978
No log 4.1818 322 0.6577 0.6655 0.6577 0.8110
No log 4.2078 324 0.7127 0.5610 0.7127 0.8442
No log 4.2338 326 0.7133 0.5728 0.7133 0.8446
No log 4.2597 328 0.6873 0.5605 0.6873 0.8291
No log 4.2857 330 0.6750 0.6280 0.6750 0.8216
No log 4.3117 332 0.6663 0.6209 0.6663 0.8163
No log 4.3377 334 0.6620 0.6736 0.6620 0.8136
No log 4.3636 336 0.6775 0.6198 0.6775 0.8231
No log 4.3896 338 0.6660 0.5959 0.6660 0.8161
No log 4.4156 340 0.6502 0.6445 0.6502 0.8063
No log 4.4416 342 0.6616 0.6241 0.6616 0.8134
No log 4.4675 344 0.6646 0.6349 0.6646 0.8152
No log 4.4935 346 0.6534 0.5796 0.6534 0.8084
No log 4.5195 348 0.6597 0.6389 0.6597 0.8122
No log 4.5455 350 0.6859 0.5766 0.6859 0.8282
No log 4.5714 352 0.7800 0.5398 0.7800 0.8832
No log 4.5974 354 0.8758 0.5567 0.8758 0.9358
No log 4.6234 356 0.8928 0.4889 0.8928 0.9449
No log 4.6494 358 0.8898 0.4916 0.8898 0.9433
No log 4.6753 360 0.8660 0.4898 0.8660 0.9306
No log 4.7013 362 0.8497 0.5094 0.8497 0.9218
No log 4.7273 364 0.7547 0.5543 0.7547 0.8687
No log 4.7532 366 0.6929 0.6251 0.6929 0.8324
No log 4.7792 368 0.6893 0.5713 0.6893 0.8303
No log 4.8052 370 0.7003 0.6642 0.7003 0.8368
No log 4.8312 372 0.7128 0.6208 0.7128 0.8443
No log 4.8571 374 0.6977 0.5798 0.6977 0.8353
No log 4.8831 376 0.6671 0.5722 0.6671 0.8168
No log 4.9091 378 0.6798 0.5506 0.6798 0.8245
No log 4.9351 380 0.7477 0.5698 0.7477 0.8647
No log 4.9610 382 0.7643 0.5671 0.7643 0.8742
No log 4.9870 384 0.7362 0.5483 0.7362 0.8580
No log 5.0130 386 0.7093 0.5641 0.7093 0.8422
No log 5.0390 388 0.6854 0.5991 0.6854 0.8279
No log 5.0649 390 0.6850 0.6371 0.6850 0.8277
No log 5.0909 392 0.6812 0.5610 0.6812 0.8254
No log 5.1169 394 0.6818 0.5503 0.6818 0.8257
No log 5.1429 396 0.7087 0.6282 0.7087 0.8418
No log 5.1688 398 0.7257 0.6118 0.7257 0.8519
No log 5.1948 400 0.7094 0.5766 0.7094 0.8423
No log 5.2208 402 0.7165 0.4743 0.7165 0.8465
No log 5.2468 404 0.7177 0.4743 0.7177 0.8472
No log 5.2727 406 0.7160 0.5149 0.7160 0.8462
No log 5.2987 408 0.7404 0.6014 0.7404 0.8605
No log 5.3247 410 0.8036 0.5380 0.8036 0.8964
No log 5.3506 412 0.7895 0.5380 0.7895 0.8886
No log 5.3766 414 0.7425 0.5933 0.7425 0.8617
No log 5.4026 416 0.7048 0.6039 0.7048 0.8395
No log 5.4286 418 0.7276 0.4408 0.7276 0.8530
No log 5.4545 420 0.7573 0.4907 0.7573 0.8702
No log 5.4805 422 0.7434 0.5011 0.7434 0.8622
No log 5.5065 424 0.7079 0.5403 0.7079 0.8414
No log 5.5325 426 0.7130 0.6041 0.7130 0.8444
No log 5.5584 428 0.7369 0.6002 0.7369 0.8584
No log 5.5844 430 0.7429 0.5776 0.7429 0.8619
No log 5.6104 432 0.6834 0.6207 0.6834 0.8267
No log 5.6364 434 0.6699 0.5807 0.6699 0.8185
No log 5.6623 436 0.8066 0.3672 0.8066 0.8981
No log 5.6883 438 0.9216 0.4570 0.9216 0.9600
No log 5.7143 440 0.9238 0.4556 0.9238 0.9612
No log 5.7403 442 0.8125 0.5359 0.8125 0.9014
No log 5.7662 444 0.7110 0.5432 0.7110 0.8432
No log 5.7922 446 0.6176 0.6553 0.6176 0.7859
No log 5.8182 448 0.6194 0.6838 0.6194 0.7870
No log 5.8442 450 0.6145 0.6838 0.6145 0.7839
No log 5.8701 452 0.6053 0.6374 0.6053 0.7780
No log 5.8961 454 0.6031 0.6011 0.6031 0.7766
No log 5.9221 456 0.6151 0.6383 0.6151 0.7843
No log 5.9481 458 0.6185 0.5895 0.6185 0.7864
No log 5.9740 460 0.6237 0.5752 0.6237 0.7897
No log 6.0 462 0.6286 0.5954 0.6286 0.7929
No log 6.0260 464 0.6327 0.5262 0.6327 0.7954
No log 6.0519 466 0.6409 0.5275 0.6409 0.8006
No log 6.0779 468 0.6353 0.5455 0.6353 0.7971
No log 6.1039 470 0.6328 0.5651 0.6328 0.7955
No log 6.1299 472 0.6242 0.5505 0.6242 0.7901
No log 6.1558 474 0.6223 0.5466 0.6223 0.7889
No log 6.1818 476 0.6377 0.6638 0.6377 0.7986
No log 6.2078 478 0.6445 0.6609 0.6445 0.8028
No log 6.2338 480 0.6461 0.6780 0.6461 0.8038
No log 6.2597 482 0.6486 0.6951 0.6486 0.8054
No log 6.2857 484 0.6479 0.6830 0.6479 0.8049
No log 6.3117 486 0.6478 0.6392 0.6478 0.8049
No log 6.3377 488 0.6661 0.5951 0.6661 0.8162
No log 6.3636 490 0.7063 0.5345 0.7063 0.8404
No log 6.3896 492 0.7082 0.5345 0.7082 0.8416
No log 6.4156 494 0.6509 0.5582 0.6509 0.8068
No log 6.4416 496 0.6247 0.6359 0.6247 0.7904
No log 6.4675 498 0.6329 0.6758 0.6329 0.7956
0.3421 6.4935 500 0.6551 0.6874 0.6551 0.8094
0.3421 6.5195 502 0.6589 0.6142 0.6589 0.8117
0.3421 6.5455 504 0.6558 0.6008 0.6558 0.8098
0.3421 6.5714 506 0.6152 0.5002 0.6152 0.7843
0.3421 6.5974 508 0.5638 0.5631 0.5638 0.7509
0.3421 6.6234 510 0.5416 0.6557 0.5416 0.7359

Framework versions

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