ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_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: 0.7619
  • Qwk: 0.7407
  • Mse: 0.7619
  • Rmse: 0.8729

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 0.0392 2 6.9340 0.0057 6.9340 2.6333
No log 0.0784 4 4.5895 0.0750 4.5895 2.1423
No log 0.1176 6 3.5929 -0.0312 3.5929 1.8955
No log 0.1569 8 4.6897 -0.0606 4.6897 2.1656
No log 0.1961 10 3.1500 0.0235 3.1500 1.7748
No log 0.2353 12 2.0196 0.0960 2.0196 1.4211
No log 0.2745 14 1.9195 0.1667 1.9195 1.3855
No log 0.3137 16 2.0058 0.1239 2.0058 1.4163
No log 0.3529 18 2.1753 0.0635 2.1753 1.4749
No log 0.3922 20 2.0040 0.2564 2.0040 1.4156
No log 0.4314 22 1.9285 0.2344 1.9285 1.3887
No log 0.4706 24 2.5131 0.1088 2.5131 1.5853
No log 0.5098 26 2.8318 0.0261 2.8318 1.6828
No log 0.5490 28 2.7574 0.0261 2.7574 1.6605
No log 0.5882 30 2.3727 0.0526 2.3727 1.5404
No log 0.6275 32 2.0616 0.2190 2.0616 1.4358
No log 0.6667 34 1.9105 0.3465 1.9105 1.3822
No log 0.7059 36 1.9261 0.3206 1.9261 1.3878
No log 0.7451 38 2.0386 0.2647 2.0386 1.4278
No log 0.7843 40 2.2756 0.1418 2.2756 1.5085
No log 0.8235 42 2.9630 0.1486 2.9630 1.7213
No log 0.8627 44 3.7800 0.1357 3.7800 1.9442
No log 0.9020 46 3.6021 0.1284 3.6021 1.8979
No log 0.9412 48 3.1285 0.1297 3.1285 1.7688
No log 0.9804 50 2.3889 0.1408 2.3889 1.5456
No log 1.0196 52 1.9361 0.2748 1.9361 1.3914
No log 1.0588 54 1.7292 0.2992 1.7292 1.3150
No log 1.0980 56 1.5489 0.3651 1.5489 1.2446
No log 1.1373 58 1.6571 0.3594 1.6571 1.2873
No log 1.1765 60 1.9108 0.3034 1.9108 1.3823
No log 1.2157 62 2.4930 0.25 2.4930 1.5789
No log 1.2549 64 2.5507 0.2456 2.5507 1.5971
No log 1.2941 66 1.9801 0.3046 1.9801 1.4072
No log 1.3333 68 1.6324 0.4143 1.6324 1.2777
No log 1.3725 70 1.6607 0.4082 1.6607 1.2887
No log 1.4118 72 1.8095 0.3784 1.8095 1.3452
No log 1.4510 74 2.1806 0.3152 2.1806 1.4767
No log 1.4902 76 2.2759 0.2754 2.2759 1.5086
No log 1.5294 78 2.2019 0.3012 2.2019 1.4839
No log 1.5686 80 2.1223 0.3230 2.1223 1.4568
No log 1.6078 82 2.0171 0.3247 2.0171 1.4203
No log 1.6471 84 1.7472 0.3803 1.7472 1.3218
No log 1.6863 86 1.4861 0.4412 1.4861 1.2190
No log 1.7255 88 1.4473 0.4394 1.4473 1.2030
No log 1.7647 90 1.4619 0.4823 1.4619 1.2091
No log 1.8039 92 1.4115 0.4730 1.4115 1.1881
No log 1.8431 94 1.3775 0.5385 1.3775 1.1737
No log 1.8824 96 1.2716 0.5139 1.2716 1.1276
No log 1.9216 98 1.1952 0.5379 1.1952 1.0932
No log 1.9608 100 1.2265 0.5733 1.2265 1.1075
No log 2.0 102 1.1200 0.5931 1.1200 1.0583
No log 2.0392 104 1.0808 0.5693 1.0808 1.0396
No log 2.0784 106 1.3602 0.4427 1.3602 1.1663
No log 2.1176 108 1.6823 0.2879 1.6823 1.2970
No log 2.1569 110 1.9582 0.2239 1.9582 1.3994
No log 2.1961 112 1.4181 0.4 1.4181 1.1908
No log 2.2353 114 1.0878 0.6294 1.0878 1.0430
No log 2.2745 116 1.0453 0.6345 1.0453 1.0224
No log 2.3137 118 1.1158 0.5985 1.1158 1.0563
No log 2.3529 120 1.2274 0.5036 1.2274 1.1079
No log 2.3922 122 1.4885 0.5517 1.4885 1.2201
No log 2.4314 124 3.0191 0.2896 3.0191 1.7375
No log 2.4706 126 3.8571 0.1992 3.8571 1.9639
No log 2.5098 128 3.3230 0.2183 3.3230 1.8229
No log 2.5490 130 2.0842 0.3529 2.0842 1.4437
No log 2.5882 132 1.0844 0.6056 1.0844 1.0414
No log 2.6275 134 0.8730 0.6667 0.8730 0.9344
No log 2.6667 136 0.9000 0.6619 0.9000 0.9487
No log 2.7059 138 0.9598 0.6525 0.9598 0.9797
No log 2.7451 140 1.1481 0.6211 1.1481 1.0715
No log 2.7843 142 1.3997 0.5402 1.3997 1.1831
No log 2.8235 144 1.5097 0.4596 1.5097 1.2287
No log 2.8627 146 1.5891 0.5096 1.5891 1.2606
No log 2.9020 148 1.4827 0.4698 1.4827 1.2177
No log 2.9412 150 1.0985 0.6087 1.0985 1.0481
No log 2.9804 152 0.8988 0.5882 0.8988 0.9481
No log 3.0196 154 0.9558 0.5735 0.9558 0.9776
No log 3.0588 156 0.8832 0.5985 0.8832 0.9398
No log 3.0980 158 0.7654 0.7552 0.7654 0.8749
No log 3.1373 160 0.7935 0.6377 0.7935 0.8908
No log 3.1765 162 0.8139 0.6571 0.8139 0.9022
No log 3.2157 164 0.8474 0.6667 0.8474 0.9205
No log 3.2549 166 0.9398 0.6974 0.9398 0.9694
No log 3.2941 168 1.1052 0.6135 1.1052 1.0513
No log 3.3333 170 1.2717 0.5814 1.2717 1.1277
No log 3.3725 172 1.3972 0.5486 1.3972 1.1821
No log 3.4118 174 1.4673 0.5549 1.4673 1.2113
No log 3.4510 176 1.6230 0.5587 1.6230 1.2740
No log 3.4902 178 1.9373 0.5078 1.9373 1.3919
No log 3.5294 180 1.6995 0.5484 1.6995 1.3036
No log 3.5686 182 1.1956 0.5644 1.1956 1.0934
No log 3.6078 184 0.8756 0.6531 0.8756 0.9357
No log 3.6471 186 0.7659 0.7324 0.7659 0.8752
No log 3.6863 188 0.7741 0.7234 0.7741 0.8798
No log 3.7255 190 0.9056 0.6667 0.9056 0.9516
No log 3.7647 192 0.9687 0.6667 0.9687 0.9842
No log 3.8039 194 0.8558 0.7059 0.8558 0.9251
No log 3.8431 196 0.7350 0.7630 0.7350 0.8573
No log 3.8824 198 0.7328 0.75 0.7328 0.8560
No log 3.9216 200 0.8113 0.7484 0.8113 0.9007
No log 3.9608 202 0.8366 0.7133 0.8366 0.9147
No log 4.0 204 0.8017 0.7211 0.8017 0.8954
No log 4.0392 206 0.7513 0.7702 0.7513 0.8668
No log 4.0784 208 0.7834 0.7162 0.7834 0.8851
No log 4.1176 210 0.9287 0.6471 0.9287 0.9637
No log 4.1569 212 0.9386 0.6569 0.9386 0.9688
No log 4.1961 214 0.8596 0.6901 0.8596 0.9272
No log 4.2353 216 0.8095 0.7284 0.8095 0.8997
No log 4.2745 218 0.9008 0.7345 0.9008 0.9491
No log 4.3137 220 1.2737 0.6146 1.2737 1.1286
No log 4.3529 222 1.3568 0.6154 1.3568 1.1648
No log 4.3922 224 1.0882 0.6222 1.0882 1.0432
No log 4.4314 226 0.8013 0.7719 0.8013 0.8951
No log 4.4706 228 0.7716 0.7453 0.7716 0.8784
No log 4.5098 230 0.8671 0.7195 0.8671 0.9312
No log 4.5490 232 1.1038 0.6235 1.1038 1.0506
No log 4.5882 234 1.1752 0.6145 1.1752 1.0841
No log 4.6275 236 1.0690 0.6433 1.0690 1.0339
No log 4.6667 238 0.9435 0.6792 0.9435 0.9714
No log 4.7059 240 0.9684 0.6131 0.9684 0.9841
No log 4.7451 242 1.0463 0.6119 1.0463 1.0229
No log 4.7843 244 1.0413 0.6277 1.0413 1.0204
No log 4.8235 246 1.0248 0.6533 1.0248 1.0123
No log 4.8627 248 1.0669 0.6265 1.0669 1.0329
No log 4.9020 250 1.0840 0.6391 1.0840 1.0412
No log 4.9412 252 1.0955 0.6353 1.0955 1.0467
No log 4.9804 254 0.8949 0.6536 0.8949 0.9460
No log 5.0196 256 0.7566 0.7320 0.7566 0.8698
No log 5.0588 258 0.7134 0.7297 0.7134 0.8446
No log 5.0980 260 0.7367 0.7468 0.7367 0.8583
No log 5.1373 262 0.9183 0.7006 0.9183 0.9583
No log 5.1765 264 1.0066 0.7006 1.0066 1.0033
No log 5.2157 266 0.9845 0.6932 0.9845 0.9922
No log 5.2549 268 0.8947 0.6792 0.8947 0.9459
No log 5.2941 270 0.9412 0.6573 0.9412 0.9702
No log 5.3333 272 1.1931 0.5180 1.1931 1.0923
No log 5.3725 274 1.4854 0.4314 1.4854 1.2188
No log 5.4118 276 1.4914 0.4474 1.4914 1.2212
No log 5.4510 278 1.1881 0.5638 1.1881 1.0900
No log 5.4902 280 0.9323 0.6846 0.9323 0.9656
No log 5.5294 282 0.7936 0.7222 0.7936 0.8908
No log 5.5686 284 0.7727 0.7222 0.7727 0.8790
No log 5.6078 286 0.8300 0.6918 0.8300 0.9111
No log 5.6471 288 0.9397 0.6941 0.9397 0.9694
No log 5.6863 290 0.9055 0.7018 0.9055 0.9516
No log 5.7255 292 0.8241 0.7458 0.8241 0.9078
No log 5.7647 294 0.7652 0.7416 0.7652 0.8748
No log 5.8039 296 0.8052 0.7345 0.8052 0.8973
No log 5.8431 298 0.8366 0.7093 0.8366 0.9147
No log 5.8824 300 0.8693 0.7093 0.8693 0.9324
No log 5.9216 302 1.0378 0.6705 1.0378 1.0187
No log 5.9608 304 1.2508 0.5930 1.2508 1.1184
No log 6.0 306 1.1490 0.6036 1.1490 1.0719
No log 6.0392 308 0.9634 0.5931 0.9634 0.9815
No log 6.0784 310 0.8495 0.6857 0.8495 0.9217
No log 6.1176 312 0.8667 0.6763 0.8667 0.9310
No log 6.1569 314 0.9715 0.5373 0.9715 0.9857
No log 6.1961 316 1.1008 0.5789 1.1008 1.0492
No log 6.2353 318 1.1114 0.6 1.1114 1.0542
No log 6.2745 320 1.1254 0.6395 1.1254 1.0608
No log 6.3137 322 1.0552 0.6272 1.0552 1.0272
No log 6.3529 324 0.9508 0.6626 0.9508 0.9751
No log 6.3922 326 0.8717 0.6622 0.8717 0.9336
No log 6.4314 328 0.8659 0.6443 0.8659 0.9306
No log 6.4706 330 0.8268 0.6713 0.8268 0.9093
No log 6.5098 332 0.7979 0.7273 0.7979 0.8933
No log 6.5490 334 0.8250 0.6944 0.8250 0.9083
No log 6.5882 336 0.8968 0.625 0.8968 0.9470
No log 6.6275 338 0.9517 0.5816 0.9517 0.9756
No log 6.6667 340 0.9973 0.5974 0.9973 0.9986
No log 6.7059 342 0.9902 0.5974 0.9902 0.9951
No log 6.7451 344 0.9180 0.6803 0.9180 0.9581
No log 6.7843 346 0.8954 0.6351 0.8954 0.9463
No log 6.8235 348 0.9270 0.6380 0.9270 0.9628
No log 6.8627 350 0.9545 0.6296 0.9545 0.9770
No log 6.9020 352 0.9964 0.6310 0.9964 0.9982
No log 6.9412 354 1.1483 0.6316 1.1483 1.0716
No log 6.9804 356 1.0904 0.6590 1.0904 1.0442
No log 7.0196 358 1.0752 0.6358 1.0752 1.0369
No log 7.0588 360 1.0655 0.6395 1.0655 1.0322
No log 7.0980 362 1.1511 0.64 1.1511 1.0729
No log 7.1373 364 1.1135 0.6322 1.1135 1.0552
No log 7.1765 366 0.8728 0.6788 0.8728 0.9342
No log 7.2157 368 0.7263 0.7448 0.7263 0.8522
No log 7.2549 370 0.7316 0.7034 0.7316 0.8554
No log 7.2941 372 0.7801 0.6944 0.7801 0.8832
No log 7.3333 374 0.8814 0.6525 0.8814 0.9388
No log 7.3725 376 1.0869 0.6543 1.0869 1.0425
No log 7.4118 378 1.2390 0.6036 1.2390 1.1131
No log 7.4510 380 1.2624 0.6036 1.2624 1.1235
No log 7.4902 382 1.1804 0.6395 1.1804 1.0865
No log 7.5294 384 1.0475 0.6667 1.0475 1.0235
No log 7.5686 386 0.8452 0.6338 0.8452 0.9193
No log 7.6078 388 0.7441 0.7034 0.7441 0.8626
No log 7.6471 390 0.7375 0.7092 0.7375 0.8588
No log 7.6863 392 0.7444 0.7260 0.7444 0.8628
No log 7.7255 394 0.8230 0.6241 0.8230 0.9072
No log 7.7647 396 1.0056 0.6323 1.0056 1.0028
No log 7.8039 398 1.1969 0.5875 1.1969 1.0941
No log 7.8431 400 1.1382 0.6098 1.1382 1.0669
No log 7.8824 402 0.9408 0.6420 0.9408 0.9699
No log 7.9216 404 0.8294 0.7470 0.8294 0.9107
No log 7.9608 406 0.8076 0.7647 0.8076 0.8986
No log 8.0 408 0.7915 0.7456 0.7915 0.8897
No log 8.0392 410 0.8782 0.7374 0.8782 0.9371
No log 8.0784 412 1.0098 0.6526 1.0098 1.0049
No log 8.1176 414 1.0011 0.6522 1.0011 1.0005
No log 8.1569 416 1.0182 0.6286 1.0182 1.0090
No log 8.1961 418 1.1389 0.6364 1.1389 1.0672
No log 8.2353 420 1.1587 0.6190 1.1587 1.0764
No log 8.2745 422 1.0070 0.6380 1.0070 1.0035
No log 8.3137 424 0.9143 0.6625 0.9143 0.9562
No log 8.3529 426 0.8168 0.6839 0.8168 0.9038
No log 8.3922 428 0.8013 0.7081 0.8013 0.8951
No log 8.4314 430 0.8261 0.7117 0.8261 0.9089
No log 8.4706 432 0.9691 0.6506 0.9691 0.9844
No log 8.5098 434 1.0429 0.6509 1.0429 1.0212
No log 8.5490 436 1.1506 0.6364 1.1506 1.0727
No log 8.5882 438 1.0564 0.6395 1.0564 1.0278
No log 8.6275 440 0.8706 0.6982 0.8706 0.9331
No log 8.6667 442 0.7487 0.7975 0.7487 0.8653
No log 8.7059 444 0.7317 0.7975 0.7317 0.8554
No log 8.7451 446 0.7337 0.7975 0.7337 0.8566
No log 8.7843 448 0.7538 0.7901 0.7538 0.8682
No log 8.8235 450 0.7418 0.7682 0.7418 0.8613
No log 8.8627 452 0.7435 0.6944 0.7435 0.8623
No log 8.9020 454 0.7881 0.7260 0.7881 0.8878
No log 8.9412 456 0.9032 0.6447 0.9032 0.9504
No log 8.9804 458 1.1408 0.6258 1.1408 1.0681
No log 9.0196 460 1.5393 0.5556 1.5393 1.2407
No log 9.0588 462 1.7226 0.5137 1.7226 1.3125
No log 9.0980 464 1.4902 0.5574 1.4902 1.2208
No log 9.1373 466 1.1170 0.6322 1.1170 1.0569
No log 9.1765 468 0.8558 0.7349 0.8558 0.9251
No log 9.2157 470 0.7554 0.7898 0.7554 0.8691
No log 9.2549 472 0.7299 0.7898 0.7299 0.8543
No log 9.2941 474 0.7288 0.7483 0.7288 0.8537
No log 9.3333 476 0.7774 0.7397 0.7773 0.8817
No log 9.3725 478 0.7654 0.7273 0.7654 0.8749
No log 9.4118 480 0.7575 0.7361 0.7575 0.8704
No log 9.4510 482 0.7525 0.7361 0.7525 0.8675
No log 9.4902 484 0.7393 0.7361 0.7393 0.8598
No log 9.5294 486 0.7499 0.7361 0.7499 0.8660
No log 9.5686 488 0.8186 0.7355 0.8186 0.9048
No log 9.6078 490 0.9678 0.6788 0.9678 0.9838
No log 9.6471 492 1.0505 0.6588 1.0505 1.0250
No log 9.6863 494 1.0885 0.6474 1.0885 1.0433
No log 9.7255 496 0.9274 0.6667 0.9274 0.9630
No log 9.7647 498 0.7021 0.7826 0.7021 0.8379
0.454 9.8039 500 0.6165 0.7974 0.6165 0.7852
0.454 9.8431 502 0.6267 0.7671 0.6267 0.7916
0.454 9.8824 504 0.6182 0.7671 0.6182 0.7863
0.454 9.9216 506 0.6209 0.7871 0.6209 0.7880
0.454 9.9608 508 0.6879 0.7595 0.6879 0.8294
0.454 10.0 510 0.7619 0.7407 0.7619 0.8729

Framework versions

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