ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_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: 0.8208
  • Qwk: 0.6279
  • Mse: 0.8208
  • Rmse: 0.9060

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 0.0455 2 5.3366 -0.0339 5.3366 2.3101
No log 0.0909 4 3.1912 0.0571 3.1912 1.7864
No log 0.1364 6 2.1756 -0.0397 2.1756 1.4750
No log 0.1818 8 1.6658 0.0745 1.6658 1.2907
No log 0.2273 10 1.3999 0.1436 1.3999 1.1832
No log 0.2727 12 1.2088 0.1805 1.2088 1.0995
No log 0.3182 14 1.1859 0.2067 1.1859 1.0890
No log 0.3636 16 1.1807 0.2067 1.1807 1.0866
No log 0.4091 18 1.1241 0.2034 1.1241 1.0602
No log 0.4545 20 1.3373 0.1440 1.3373 1.1564
No log 0.5 22 1.6268 0.0210 1.6268 1.2755
No log 0.5455 24 1.3489 0.1057 1.3489 1.1614
No log 0.5909 26 1.0180 0.3627 1.0180 1.0090
No log 0.6364 28 1.1302 0.3528 1.1302 1.0631
No log 0.6818 30 1.0391 0.4132 1.0391 1.0194
No log 0.7273 32 1.0186 0.3419 1.0186 1.0093
No log 0.7727 34 1.7566 -0.0978 1.7566 1.3254
No log 0.8182 36 2.0597 -0.2665 2.0597 1.4352
No log 0.8636 38 1.7178 -0.0676 1.7178 1.3107
No log 0.9091 40 0.9978 0.3351 0.9978 0.9989
No log 0.9545 42 0.8251 0.4367 0.8251 0.9083
No log 1.0 44 0.8460 0.4489 0.8460 0.9198
No log 1.0455 46 0.8051 0.4715 0.8051 0.8973
No log 1.0909 48 0.8520 0.5257 0.8520 0.9230
No log 1.1364 50 0.9046 0.5106 0.9046 0.9511
No log 1.1818 52 0.8447 0.5617 0.8447 0.9191
No log 1.2273 54 0.7704 0.6025 0.7704 0.8777
No log 1.2727 56 0.7498 0.5993 0.7498 0.8659
No log 1.3182 58 0.7317 0.6593 0.7317 0.8554
No log 1.3636 60 0.8623 0.5600 0.8623 0.9286
No log 1.4091 62 1.1275 0.4180 1.1275 1.0619
No log 1.4545 64 1.1076 0.4217 1.1076 1.0524
No log 1.5 66 0.8538 0.6355 0.8538 0.9240
No log 1.5455 68 0.7639 0.6825 0.7639 0.8740
No log 1.5909 70 0.9006 0.5587 0.9006 0.9490
No log 1.6364 72 0.8298 0.6145 0.8298 0.9109
No log 1.6818 74 0.8342 0.6353 0.8342 0.9134
No log 1.7273 76 0.8996 0.6052 0.8996 0.9485
No log 1.7727 78 0.9021 0.5855 0.9021 0.9498
No log 1.8182 80 0.8742 0.5043 0.8742 0.9350
No log 1.8636 82 0.8181 0.4379 0.8181 0.9045
No log 1.9091 84 0.8095 0.4816 0.8095 0.8997
No log 1.9545 86 0.7787 0.4796 0.7787 0.8825
No log 2.0 88 0.7843 0.5368 0.7843 0.8856
No log 2.0455 90 0.9224 0.5111 0.9224 0.9604
No log 2.0909 92 0.9337 0.5037 0.9337 0.9663
No log 2.1364 94 0.7863 0.6049 0.7863 0.8867
No log 2.1818 96 0.8057 0.5365 0.8057 0.8976
No log 2.2273 98 0.9216 0.4991 0.9216 0.9600
No log 2.2727 100 0.8529 0.5255 0.8529 0.9235
No log 2.3182 102 0.7456 0.5814 0.7456 0.8635
No log 2.3636 104 0.8677 0.5704 0.8677 0.9315
No log 2.4091 106 0.9990 0.5228 0.9990 0.9995
No log 2.4545 108 0.9504 0.5553 0.9504 0.9749
No log 2.5 110 0.7991 0.6265 0.7991 0.8939
No log 2.5455 112 0.7684 0.6564 0.7684 0.8766
No log 2.5909 114 0.7688 0.6396 0.7688 0.8768
No log 2.6364 116 0.8042 0.6034 0.8042 0.8968
No log 2.6818 118 0.8582 0.5429 0.8582 0.9264
No log 2.7273 120 0.8737 0.5306 0.8737 0.9347
No log 2.7727 122 0.8441 0.5998 0.8441 0.9188
No log 2.8182 124 0.8887 0.5691 0.8887 0.9427
No log 2.8636 126 0.8881 0.5916 0.8881 0.9424
No log 2.9091 128 0.8445 0.6626 0.8445 0.9190
No log 2.9545 130 0.8272 0.6512 0.8272 0.9095
No log 3.0 132 0.8264 0.6333 0.8264 0.9091
No log 3.0455 134 0.8797 0.6470 0.8797 0.9379
No log 3.0909 136 0.8025 0.6468 0.8025 0.8958
No log 3.1364 138 0.7702 0.6504 0.7702 0.8776
No log 3.1818 140 0.7946 0.6627 0.7946 0.8914
No log 3.2273 142 0.8244 0.6654 0.8244 0.9080
No log 3.2727 144 0.8020 0.6661 0.8020 0.8955
No log 3.3182 146 0.7853 0.6817 0.7853 0.8862
No log 3.3636 148 0.7916 0.6719 0.7916 0.8897
No log 3.4091 150 0.7780 0.6533 0.7780 0.8821
No log 3.4545 152 0.8236 0.6309 0.8236 0.9075
No log 3.5 154 0.9484 0.6030 0.9484 0.9739
No log 3.5455 156 0.9042 0.6023 0.9042 0.9509
No log 3.5909 158 0.8204 0.6470 0.8204 0.9057
No log 3.6364 160 0.8002 0.6477 0.8002 0.8946
No log 3.6818 162 0.8162 0.6727 0.8162 0.9034
No log 3.7273 164 0.8162 0.6561 0.8162 0.9034
No log 3.7727 166 0.8615 0.6118 0.8615 0.9282
No log 3.8182 168 0.8307 0.6440 0.8307 0.9115
No log 3.8636 170 0.8456 0.6501 0.8456 0.9195
No log 3.9091 172 0.9229 0.6106 0.9229 0.9607
No log 3.9545 174 0.9644 0.5952 0.9644 0.9821
No log 4.0 176 1.0522 0.5826 1.0522 1.0258
No log 4.0455 178 0.9455 0.6058 0.9455 0.9724
No log 4.0909 180 0.7932 0.6725 0.7932 0.8906
No log 4.1364 182 0.8199 0.6539 0.8199 0.9055
No log 4.1818 184 0.8121 0.6496 0.8121 0.9012
No log 4.2273 186 0.7124 0.7057 0.7124 0.8440
No log 4.2727 188 0.7285 0.6997 0.7285 0.8535
No log 4.3182 190 0.8440 0.5989 0.8440 0.9187
No log 4.3636 192 0.8257 0.6317 0.8257 0.9087
No log 4.4091 194 0.7268 0.6782 0.7268 0.8525
No log 4.4545 196 0.7564 0.6762 0.7564 0.8697
No log 4.5 198 0.8440 0.6111 0.8440 0.9187
No log 4.5455 200 0.7703 0.6647 0.7703 0.8777
No log 4.5909 202 0.7210 0.6872 0.7210 0.8491
No log 4.6364 204 0.9891 0.5436 0.9891 0.9945
No log 4.6818 206 1.1799 0.5095 1.1799 1.0862
No log 4.7273 208 1.1095 0.5166 1.1095 1.0533
No log 4.7727 210 0.8941 0.5920 0.8941 0.9456
No log 4.8182 212 0.7646 0.6908 0.7646 0.8744
No log 4.8636 214 0.7561 0.6971 0.7561 0.8696
No log 4.9091 216 0.8034 0.6673 0.8034 0.8963
No log 4.9545 218 0.8858 0.6168 0.8858 0.9412
No log 5.0 220 0.9953 0.5617 0.9953 0.9976
No log 5.0455 222 0.9851 0.5683 0.9851 0.9925
No log 5.0909 224 0.9337 0.5843 0.9337 0.9663
No log 5.1364 226 0.9390 0.5571 0.9390 0.9690
No log 5.1818 228 0.9153 0.5846 0.9153 0.9567
No log 5.2273 230 0.9566 0.5572 0.9566 0.9781
No log 5.2727 232 0.9391 0.5880 0.9391 0.9691
No log 5.3182 234 0.9955 0.5568 0.9955 0.9978
No log 5.3636 236 1.0814 0.5431 1.0814 1.0399
No log 5.4091 238 0.9538 0.5954 0.9538 0.9766
No log 5.4545 240 0.7627 0.6959 0.7627 0.8733
No log 5.5 242 0.7495 0.7192 0.7495 0.8658
No log 5.5455 244 0.7187 0.6949 0.7187 0.8478
No log 5.5909 246 0.7425 0.7112 0.7425 0.8617
No log 5.6364 248 0.8042 0.6575 0.8042 0.8968
No log 5.6818 250 0.8722 0.6113 0.8722 0.9339
No log 5.7273 252 0.8195 0.6521 0.8195 0.9053
No log 5.7727 254 0.6946 0.7239 0.6946 0.8334
No log 5.8182 256 0.6807 0.7337 0.6807 0.8251
No log 5.8636 258 0.7033 0.7268 0.7033 0.8386
No log 5.9091 260 0.7708 0.6816 0.7708 0.8779
No log 5.9545 262 0.8681 0.6505 0.8681 0.9317
No log 6.0 264 0.8236 0.6726 0.8236 0.9075
No log 6.0455 266 0.7991 0.6771 0.7991 0.8939
No log 6.0909 268 0.8354 0.6430 0.8354 0.9140
No log 6.1364 270 0.7868 0.6515 0.7868 0.8870
No log 6.1818 272 0.7466 0.6787 0.7466 0.8640
No log 6.2273 274 0.7254 0.6711 0.7254 0.8517
No log 6.2727 276 0.7109 0.6841 0.7109 0.8432
No log 6.3182 278 0.7371 0.6664 0.7371 0.8586
No log 6.3636 280 0.7194 0.6694 0.7194 0.8481
No log 6.4091 282 0.6840 0.6917 0.6840 0.8271
No log 6.4545 284 0.6851 0.6836 0.6851 0.8277
No log 6.5 286 0.7099 0.6857 0.7099 0.8426
No log 6.5455 288 0.8258 0.6140 0.8258 0.9087
No log 6.5909 290 0.8743 0.5613 0.8743 0.9350
No log 6.6364 292 0.7896 0.6161 0.7896 0.8886
No log 6.6818 294 0.6772 0.7027 0.6772 0.8229
No log 6.7273 296 0.6694 0.7164 0.6694 0.8182
No log 6.7727 298 0.6706 0.7212 0.6706 0.8189
No log 6.8182 300 0.7277 0.6374 0.7277 0.8531
No log 6.8636 302 0.9109 0.5475 0.9109 0.9544
No log 6.9091 304 0.9897 0.5394 0.9897 0.9948
No log 6.9545 306 0.9030 0.5341 0.9030 0.9503
No log 7.0 308 0.7896 0.5715 0.7896 0.8886
No log 7.0455 310 0.6926 0.6444 0.6926 0.8322
No log 7.0909 312 0.6673 0.7093 0.6673 0.8169
No log 7.1364 314 0.7010 0.6920 0.7010 0.8372
No log 7.1818 316 0.7084 0.7043 0.7084 0.8417
No log 7.2273 318 0.7602 0.6455 0.7602 0.8719
No log 7.2727 320 0.9069 0.6024 0.9069 0.9523
No log 7.3182 322 0.8998 0.5820 0.8998 0.9486
No log 7.3636 324 0.7872 0.6123 0.7872 0.8873
No log 7.4091 326 0.6983 0.6899 0.6983 0.8356
No log 7.4545 328 0.6757 0.7144 0.6757 0.8220
No log 7.5 330 0.6846 0.6775 0.6846 0.8274
No log 7.5455 332 0.6960 0.6951 0.6960 0.8343
No log 7.5909 334 0.7076 0.6846 0.7076 0.8412
No log 7.6364 336 0.7131 0.6940 0.7131 0.8445
No log 7.6818 338 0.7062 0.6847 0.7062 0.8404
No log 7.7273 340 0.7169 0.6875 0.7169 0.8467
No log 7.7727 342 0.7074 0.6970 0.7074 0.8411
No log 7.8182 344 0.6906 0.6846 0.6906 0.8310
No log 7.8636 346 0.6942 0.7110 0.6942 0.8332
No log 7.9091 348 0.7102 0.6865 0.7102 0.8427
No log 7.9545 350 0.7171 0.7032 0.7171 0.8468
No log 8.0 352 0.7282 0.6912 0.7282 0.8533
No log 8.0455 354 0.7385 0.6934 0.7385 0.8594
No log 8.0909 356 0.7547 0.6440 0.7547 0.8687
No log 8.1364 358 0.8572 0.6059 0.8572 0.9258
No log 8.1818 360 0.9324 0.5926 0.9324 0.9656
No log 8.2273 362 0.9619 0.5928 0.9619 0.9808
No log 8.2727 364 0.9338 0.5939 0.9338 0.9663
No log 8.3182 366 0.8920 0.5942 0.8920 0.9445
No log 8.3636 368 0.8701 0.6224 0.8701 0.9328
No log 8.4091 370 0.7802 0.6532 0.7802 0.8833
No log 8.4545 372 0.7578 0.6635 0.7578 0.8705
No log 8.5 374 0.7213 0.6991 0.7213 0.8493
No log 8.5455 376 0.7091 0.6886 0.7091 0.8421
No log 8.5909 378 0.7348 0.6645 0.7348 0.8572
No log 8.6364 380 0.7640 0.6595 0.7640 0.8741
No log 8.6818 382 0.8190 0.6057 0.8190 0.9050
No log 8.7273 384 0.7928 0.6286 0.7928 0.8904
No log 8.7727 386 0.7659 0.6478 0.7659 0.8751
No log 8.8182 388 0.7166 0.6314 0.7166 0.8465
No log 8.8636 390 0.7024 0.6786 0.7024 0.8381
No log 8.9091 392 0.6869 0.6852 0.6869 0.8288
No log 8.9545 394 0.6834 0.6907 0.6834 0.8267
No log 9.0 396 0.7482 0.6682 0.7482 0.8650
No log 9.0455 398 0.7438 0.6624 0.7438 0.8624
No log 9.0909 400 0.6648 0.6748 0.6648 0.8154
No log 9.1364 402 0.7148 0.6254 0.7148 0.8454
No log 9.1818 404 0.8557 0.6222 0.8557 0.9250
No log 9.2273 406 0.8557 0.6222 0.8557 0.9250
No log 9.2727 408 0.7669 0.6384 0.7669 0.8757
No log 9.3182 410 0.6991 0.6734 0.6991 0.8361
No log 9.3636 412 0.6553 0.7072 0.6553 0.8095
No log 9.4091 414 0.6577 0.7091 0.6577 0.8110
No log 9.4545 416 0.6772 0.6991 0.6772 0.8229
No log 9.5 418 0.7787 0.6774 0.7787 0.8824
No log 9.5455 420 0.8480 0.6234 0.8480 0.9209
No log 9.5909 422 0.9216 0.6089 0.9216 0.9600
No log 9.6364 424 1.0173 0.6069 1.0173 1.0086
No log 9.6818 426 1.0962 0.5850 1.0962 1.0470
No log 9.7273 428 1.0819 0.5796 1.0819 1.0401
No log 9.7727 430 1.0702 0.5864 1.0702 1.0345
No log 9.8182 432 1.0667 0.5864 1.0667 1.0328
No log 9.8636 434 1.0399 0.5672 1.0399 1.0198
No log 9.9091 436 0.9767 0.5961 0.9767 0.9883
No log 9.9545 438 0.9633 0.6006 0.9633 0.9815
No log 10.0 440 1.0442 0.5955 1.0442 1.0218
No log 10.0455 442 0.9846 0.6088 0.9846 0.9923
No log 10.0909 444 0.8457 0.6530 0.8457 0.9196
No log 10.1364 446 0.7592 0.6982 0.7592 0.8713
No log 10.1818 448 0.7384 0.7037 0.7384 0.8593
No log 10.2273 450 0.7143 0.7127 0.7143 0.8452
No log 10.2727 452 0.7048 0.7020 0.7048 0.8395
No log 10.3182 454 0.7500 0.6404 0.7500 0.8660
No log 10.3636 456 0.9388 0.6022 0.9388 0.9689
No log 10.4091 458 1.0689 0.5313 1.0689 1.0339
No log 10.4545 460 1.0506 0.5124 1.0506 1.0250
No log 10.5 462 0.9445 0.5961 0.9445 0.9719
No log 10.5455 464 0.8398 0.6227 0.8398 0.9164
No log 10.5909 466 0.7996 0.6370 0.7996 0.8942
No log 10.6364 468 0.8219 0.6174 0.8219 0.9066
No log 10.6818 470 0.9056 0.6065 0.9056 0.9516
No log 10.7273 472 0.9731 0.5910 0.9731 0.9864
No log 10.7727 474 0.9961 0.6001 0.9961 0.9981
No log 10.8182 476 0.9574 0.6018 0.9574 0.9785
No log 10.8636 478 0.8431 0.6071 0.8431 0.9182
No log 10.9091 480 0.7510 0.6824 0.7510 0.8666
No log 10.9545 482 0.7402 0.6786 0.7402 0.8604
No log 11.0 484 0.7675 0.6776 0.7675 0.8761
No log 11.0455 486 0.8478 0.6244 0.8478 0.9208
No log 11.0909 488 0.9990 0.5705 0.9990 0.9995
No log 11.1364 490 1.0710 0.5355 1.0710 1.0349
No log 11.1818 492 1.0466 0.5374 1.0466 1.0230
No log 11.2273 494 0.9224 0.5740 0.9224 0.9604
No log 11.2727 496 0.8026 0.6561 0.8026 0.8959
No log 11.3182 498 0.7325 0.6958 0.7325 0.8559
0.4123 11.3636 500 0.7076 0.6865 0.7076 0.8412
0.4123 11.4091 502 0.7000 0.6877 0.7000 0.8367
0.4123 11.4545 504 0.6982 0.7038 0.6982 0.8356
0.4123 11.5 506 0.6950 0.7038 0.6950 0.8337
0.4123 11.5455 508 0.7277 0.7015 0.7277 0.8530
0.4123 11.5909 510 0.7839 0.6969 0.7839 0.8854
0.4123 11.6364 512 0.7643 0.7060 0.7643 0.8743
0.4123 11.6818 514 0.6995 0.7139 0.6995 0.8364
0.4123 11.7273 516 0.6859 0.7037 0.6859 0.8282
0.4123 11.7727 518 0.6922 0.6711 0.6922 0.8320
0.4123 11.8182 520 0.6765 0.7043 0.6765 0.8225
0.4123 11.8636 522 0.6992 0.7191 0.6992 0.8362
0.4123 11.9091 524 0.7159 0.7163 0.7159 0.8461
0.4123 11.9545 526 0.7003 0.7084 0.7003 0.8368
0.4123 12.0 528 0.6939 0.7153 0.6939 0.8330
0.4123 12.0455 530 0.7403 0.6665 0.7403 0.8604
0.4123 12.0909 532 0.8518 0.5941 0.8518 0.9230
0.4123 12.1364 534 0.8664 0.5958 0.8664 0.9308
0.4123 12.1818 536 0.8266 0.6227 0.8266 0.9092
0.4123 12.2273 538 0.8208 0.6279 0.8208 0.9060

Framework versions

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