ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k19_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: 0.9750
  • Qwk: 0.5488
  • Mse: 0.9750
  • Rmse: 0.9874

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 0.0217 2 5.1816 -0.0433 5.1816 2.2763
No log 0.0435 4 3.1340 0.0459 3.1340 1.7703
No log 0.0652 6 2.8672 -0.1482 2.8672 1.6933
No log 0.0870 8 2.4576 -0.1765 2.4576 1.5677
No log 0.1087 10 1.7254 -0.0209 1.7254 1.3135
No log 0.1304 12 1.6879 -0.1017 1.6879 1.2992
No log 0.1522 14 1.2784 0.1328 1.2784 1.1307
No log 0.1739 16 1.2868 0.2309 1.2868 1.1344
No log 0.1957 18 1.7652 0.1185 1.7652 1.3286
No log 0.2174 20 1.5770 0.1860 1.5770 1.2558
No log 0.2391 22 1.1876 0.3311 1.1876 1.0898
No log 0.2609 24 1.0547 0.3478 1.0547 1.0270
No log 0.2826 26 0.9919 0.3523 0.9919 0.9959
No log 0.3043 28 0.9767 0.3877 0.9767 0.9883
No log 0.3261 30 1.0819 0.4657 1.0819 1.0401
No log 0.3478 32 1.2811 0.3673 1.2811 1.1318
No log 0.3696 34 1.1860 0.4202 1.1860 1.0890
No log 0.3913 36 1.0639 0.4833 1.0639 1.0315
No log 0.4130 38 0.9582 0.4946 0.9582 0.9789
No log 0.4348 40 0.8110 0.5136 0.8110 0.9006
No log 0.4565 42 0.7930 0.4825 0.7930 0.8905
No log 0.4783 44 0.8010 0.5021 0.8010 0.8950
No log 0.5 46 0.7880 0.5654 0.7880 0.8877
No log 0.5217 48 0.9704 0.5856 0.9704 0.9851
No log 0.5435 50 0.9107 0.5662 0.9107 0.9543
No log 0.5652 52 0.7835 0.5412 0.7835 0.8851
No log 0.5870 54 0.8204 0.5342 0.8204 0.9057
No log 0.6087 56 1.1383 0.5139 1.1383 1.0669
No log 0.6304 58 1.1360 0.4837 1.1360 1.0658
No log 0.6522 60 0.8084 0.4322 0.8084 0.8991
No log 0.6739 62 0.8170 0.4583 0.8170 0.9039
No log 0.6957 64 1.2047 0.2646 1.2047 1.0976
No log 0.7174 66 1.2075 0.2552 1.2075 1.0988
No log 0.7391 68 0.8665 0.3941 0.8665 0.9308
No log 0.7609 70 0.8261 0.4511 0.8261 0.9089
No log 0.7826 72 0.9347 0.4306 0.9347 0.9668
No log 0.8043 74 0.8046 0.4691 0.8046 0.8970
No log 0.8261 76 0.7527 0.5804 0.7527 0.8676
No log 0.8478 78 1.0849 0.3296 1.0849 1.0416
No log 0.8696 80 1.1966 0.3069 1.1966 1.0939
No log 0.8913 82 0.9135 0.4592 0.9135 0.9558
No log 0.9130 84 0.7163 0.6029 0.7163 0.8463
No log 0.9348 86 0.9490 0.5518 0.9490 0.9742
No log 0.9565 88 1.3453 0.3980 1.3453 1.1599
No log 0.9783 90 1.2666 0.4476 1.2666 1.1254
No log 1.0 92 0.8962 0.5470 0.8962 0.9467
No log 1.0217 94 0.6687 0.6419 0.6687 0.8177
No log 1.0435 96 0.8427 0.5716 0.8427 0.9180
No log 1.0652 98 0.9698 0.4814 0.9698 0.9848
No log 1.0870 100 0.8384 0.5333 0.8384 0.9157
No log 1.1087 102 0.6561 0.6317 0.6561 0.8100
No log 1.1304 104 0.7011 0.6755 0.7011 0.8373
No log 1.1522 106 0.8370 0.5826 0.8370 0.9149
No log 1.1739 108 0.7830 0.6058 0.7830 0.8849
No log 1.1957 110 0.6570 0.6690 0.6570 0.8105
No log 1.2174 112 0.7145 0.6454 0.7145 0.8453
No log 1.2391 114 0.7888 0.5920 0.7888 0.8881
No log 1.2609 116 0.7168 0.6224 0.7168 0.8466
No log 1.2826 118 0.6785 0.6346 0.6785 0.8237
No log 1.3043 120 0.6684 0.6342 0.6684 0.8176
No log 1.3261 122 0.7055 0.5882 0.7055 0.8400
No log 1.3478 124 0.7084 0.5716 0.7084 0.8417
No log 1.3696 126 0.7045 0.5753 0.7045 0.8393
No log 1.3913 128 0.7944 0.5245 0.7944 0.8913
No log 1.4130 130 0.8910 0.5138 0.8910 0.9439
No log 1.4348 132 0.8691 0.4595 0.8691 0.9323
No log 1.4565 134 0.8288 0.4557 0.8288 0.9104
No log 1.4783 136 0.7616 0.5029 0.7616 0.8727
No log 1.5 138 0.7849 0.4512 0.7849 0.8859
No log 1.5217 140 0.8366 0.4852 0.8366 0.9147
No log 1.5435 142 0.8473 0.4950 0.8473 0.9205
No log 1.5652 144 0.9173 0.4659 0.9173 0.9578
No log 1.5870 146 0.9465 0.4521 0.9465 0.9729
No log 1.6087 148 0.8884 0.4654 0.8884 0.9426
No log 1.6304 150 0.8668 0.4887 0.8668 0.9310
No log 1.6522 152 0.8739 0.5121 0.8739 0.9348
No log 1.6739 154 0.9053 0.5345 0.9053 0.9515
No log 1.6957 156 0.9613 0.5208 0.9613 0.9805
No log 1.7174 158 0.9711 0.5419 0.9711 0.9855
No log 1.7391 160 0.8882 0.5143 0.8882 0.9424
No log 1.7609 162 0.8500 0.4479 0.8500 0.9220
No log 1.7826 164 0.8180 0.4882 0.8180 0.9045
No log 1.8043 166 0.7850 0.5482 0.7850 0.8860
No log 1.8261 168 0.7564 0.5533 0.7564 0.8697
No log 1.8478 170 0.7473 0.5465 0.7473 0.8644
No log 1.8696 172 0.8031 0.5666 0.8031 0.8961
No log 1.8913 174 0.8994 0.5936 0.8994 0.9483
No log 1.9130 176 0.8905 0.6175 0.8905 0.9437
No log 1.9348 178 0.7735 0.6042 0.7735 0.8795
No log 1.9565 180 0.6894 0.6026 0.6894 0.8303
No log 1.9783 182 1.0128 0.4183 1.0128 1.0064
No log 2.0 184 1.1890 0.3479 1.1890 1.0904
No log 2.0217 186 0.9326 0.5716 0.9326 0.9657
No log 2.0435 188 0.7052 0.6988 0.7052 0.8397
No log 2.0652 190 0.6934 0.6912 0.6934 0.8327
No log 2.0870 192 0.7159 0.6845 0.7159 0.8461
No log 2.1087 194 0.6802 0.6508 0.6802 0.8247
No log 2.1304 196 0.7444 0.6124 0.7444 0.8628
No log 2.1522 198 1.0095 0.4986 1.0095 1.0047
No log 2.1739 200 1.1654 0.4775 1.1654 1.0795
No log 2.1957 202 1.1749 0.3421 1.1749 1.0839
No log 2.2174 204 0.9973 0.4202 0.9973 0.9987
No log 2.2391 206 0.8059 0.5646 0.8059 0.8977
No log 2.2609 208 0.7230 0.5733 0.7230 0.8503
No log 2.2826 210 0.7135 0.5906 0.7135 0.8447
No log 2.3043 212 0.7027 0.6141 0.7027 0.8383
No log 2.3261 214 0.7407 0.6406 0.7407 0.8607
No log 2.3478 216 0.8938 0.5236 0.8938 0.9454
No log 2.3696 218 0.9587 0.5333 0.9587 0.9791
No log 2.3913 220 0.8727 0.5600 0.8727 0.9342
No log 2.4130 222 0.7887 0.6135 0.7887 0.8881
No log 2.4348 224 0.7689 0.6375 0.7689 0.8769
No log 2.4565 226 0.7603 0.6937 0.7603 0.8719
No log 2.4783 228 0.7550 0.6893 0.7550 0.8689
No log 2.5 230 0.7352 0.6779 0.7352 0.8574
No log 2.5217 232 0.7535 0.6902 0.7535 0.8680
No log 2.5435 234 0.8021 0.6137 0.8021 0.8956
No log 2.5652 236 0.9417 0.5393 0.9417 0.9704
No log 2.5870 238 1.0006 0.5462 1.0006 1.0003
No log 2.6087 240 0.9502 0.5776 0.9502 0.9748
No log 2.6304 242 0.8832 0.6098 0.8832 0.9398
No log 2.6522 244 0.7795 0.6735 0.7795 0.8829
No log 2.6739 246 0.7446 0.6890 0.7446 0.8629
No log 2.6957 248 0.7463 0.7007 0.7463 0.8639
No log 2.7174 250 0.7833 0.6963 0.7833 0.8850
No log 2.7391 252 0.8150 0.6464 0.8150 0.9028
No log 2.7609 254 0.7947 0.6832 0.7947 0.8914
No log 2.7826 256 0.8068 0.6777 0.8068 0.8982
No log 2.8043 258 0.8549 0.6447 0.8549 0.9246
No log 2.8261 260 0.8863 0.6332 0.8863 0.9414
No log 2.8478 262 0.8685 0.6065 0.8685 0.9320
No log 2.8696 264 0.7826 0.6242 0.7826 0.8847
No log 2.8913 266 0.7458 0.6648 0.7458 0.8636
No log 2.9130 268 0.7516 0.6428 0.7516 0.8670
No log 2.9348 270 0.7576 0.6556 0.7576 0.8704
No log 2.9565 272 0.8149 0.6653 0.8149 0.9027
No log 2.9783 274 0.8548 0.6252 0.8548 0.9245
No log 3.0 276 0.8463 0.6327 0.8463 0.9199
No log 3.0217 278 0.8302 0.6441 0.8302 0.9111
No log 3.0435 280 0.9112 0.6042 0.9112 0.9545
No log 3.0652 282 1.0200 0.5477 1.0200 1.0100
No log 3.0870 284 0.9369 0.5695 0.9369 0.9679
No log 3.1087 286 0.7508 0.6428 0.7508 0.8665
No log 3.1304 288 0.7001 0.6235 0.7001 0.8367
No log 3.1522 290 0.7189 0.6481 0.7189 0.8479
No log 3.1739 292 0.7066 0.6466 0.7066 0.8406
No log 3.1957 294 0.7088 0.6857 0.7088 0.8419
No log 3.2174 296 0.6732 0.7169 0.6732 0.8205
No log 3.2391 298 0.6794 0.7311 0.6794 0.8243
No log 3.2609 300 0.6833 0.7310 0.6833 0.8266
No log 3.2826 302 0.6937 0.7133 0.6937 0.8329
No log 3.3043 304 0.6845 0.7318 0.6845 0.8273
No log 3.3261 306 0.6609 0.7251 0.6609 0.8130
No log 3.3478 308 0.6751 0.6950 0.6751 0.8216
No log 3.3696 310 0.7320 0.6557 0.7320 0.8556
No log 3.3913 312 0.7100 0.6899 0.7100 0.8426
No log 3.4130 314 0.6755 0.6983 0.6755 0.8219
No log 3.4348 316 0.6757 0.6907 0.6757 0.8220
No log 3.4565 318 0.6898 0.6959 0.6898 0.8306
No log 3.4783 320 0.7098 0.7111 0.7098 0.8425
No log 3.5 322 0.7154 0.7017 0.7154 0.8458
No log 3.5217 324 0.7267 0.6913 0.7267 0.8525
No log 3.5435 326 0.6984 0.7009 0.6984 0.8357
No log 3.5652 328 0.6930 0.6838 0.6930 0.8325
No log 3.5870 330 0.6912 0.6749 0.6912 0.8314
No log 3.6087 332 0.6632 0.6835 0.6632 0.8144
No log 3.6304 334 0.6689 0.6957 0.6689 0.8179
No log 3.6522 336 0.6887 0.6860 0.6887 0.8299
No log 3.6739 338 0.6683 0.7118 0.6683 0.8175
No log 3.6957 340 0.6857 0.7053 0.6857 0.8281
No log 3.7174 342 0.7087 0.7065 0.7087 0.8419
No log 3.7391 344 0.7439 0.6888 0.7439 0.8625
No log 3.7609 346 0.7798 0.6580 0.7798 0.8831
No log 3.7826 348 0.8565 0.6176 0.8565 0.9255
No log 3.8043 350 0.8697 0.6221 0.8697 0.9326
No log 3.8261 352 0.7700 0.6495 0.7700 0.8775
No log 3.8478 354 0.6781 0.7103 0.6781 0.8234
No log 3.8696 356 0.6678 0.7005 0.6678 0.8172
No log 3.8913 358 0.7109 0.6800 0.7109 0.8432
No log 3.9130 360 0.7133 0.6854 0.7133 0.8446
No log 3.9348 362 0.6959 0.7096 0.6959 0.8342
No log 3.9565 364 0.6836 0.7193 0.6836 0.8268
No log 3.9783 366 0.6922 0.6994 0.6922 0.8320
No log 4.0 368 0.6984 0.7083 0.6984 0.8357
No log 4.0217 370 0.7030 0.7172 0.7030 0.8385
No log 4.0435 372 0.6936 0.7215 0.6936 0.8328
No log 4.0652 374 0.6803 0.7395 0.6803 0.8248
No log 4.0870 376 0.6687 0.7071 0.6687 0.8178
No log 4.1087 378 0.6842 0.6867 0.6842 0.8272
No log 4.1304 380 0.6870 0.6970 0.6870 0.8288
No log 4.1522 382 0.6727 0.7102 0.6727 0.8202
No log 4.1739 384 0.6773 0.7274 0.6773 0.8230
No log 4.1957 386 0.6906 0.7311 0.6906 0.8310
No log 4.2174 388 0.7069 0.6976 0.7069 0.8408
No log 4.2391 390 0.7122 0.6772 0.7122 0.8439
No log 4.2609 392 0.6968 0.6595 0.6968 0.8347
No log 4.2826 394 0.6884 0.6659 0.6884 0.8297
No log 4.3043 396 0.6911 0.6365 0.6911 0.8313
No log 4.3261 398 0.7208 0.6501 0.7208 0.8490
No log 4.3478 400 0.7648 0.6341 0.7648 0.8746
No log 4.3696 402 0.7828 0.6307 0.7828 0.8848
No log 4.3913 404 0.7520 0.6317 0.7520 0.8672
No log 4.4130 406 0.7399 0.6403 0.7399 0.8602
No log 4.4348 408 0.7723 0.6191 0.7723 0.8788
No log 4.4565 410 0.7813 0.6270 0.7813 0.8839
No log 4.4783 412 0.7333 0.6365 0.7333 0.8564
No log 4.5 414 0.7036 0.6333 0.7036 0.8388
No log 4.5217 416 0.6954 0.6353 0.6954 0.8339
No log 4.5435 418 0.6908 0.6570 0.6908 0.8312
No log 4.5652 420 0.7075 0.6721 0.7075 0.8411
No log 4.5870 422 0.7911 0.6443 0.7911 0.8894
No log 4.6087 424 0.8264 0.6565 0.8264 0.9091
No log 4.6304 426 0.7706 0.6719 0.7706 0.8778
No log 4.6522 428 0.7147 0.6719 0.7147 0.8454
No log 4.6739 430 0.6981 0.6765 0.6981 0.8355
No log 4.6957 432 0.7448 0.6472 0.7448 0.8630
No log 4.7174 434 0.7455 0.6113 0.7455 0.8634
No log 4.7391 436 0.6956 0.6577 0.6956 0.8340
No log 4.7609 438 0.6908 0.6767 0.6908 0.8311
No log 4.7826 440 0.7895 0.6703 0.7895 0.8885
No log 4.8043 442 0.8194 0.6603 0.8194 0.9052
No log 4.8261 444 0.7607 0.6682 0.7607 0.8722
No log 4.8478 446 0.7138 0.7143 0.7138 0.8449
No log 4.8696 448 0.7136 0.6980 0.7136 0.8447
No log 4.8913 450 0.7084 0.6949 0.7084 0.8417
No log 4.9130 452 0.6728 0.7061 0.6728 0.8202
No log 4.9348 454 0.6836 0.6631 0.6836 0.8268
No log 4.9565 456 0.7394 0.6603 0.7394 0.8599
No log 4.9783 458 0.7525 0.6776 0.7525 0.8675
No log 5.0 460 0.7337 0.6772 0.7337 0.8566
No log 5.0217 462 0.6995 0.6840 0.6995 0.8364
No log 5.0435 464 0.6831 0.7076 0.6831 0.8265
No log 5.0652 466 0.6832 0.7172 0.6832 0.8266
No log 5.0870 468 0.6875 0.7187 0.6875 0.8291
No log 5.1087 470 0.6943 0.7180 0.6943 0.8333
No log 5.1304 472 0.7182 0.6931 0.7182 0.8475
No log 5.1522 474 0.7463 0.6993 0.7463 0.8639
No log 5.1739 476 0.7140 0.6931 0.7140 0.8450
No log 5.1957 478 0.6872 0.7047 0.6872 0.8290
No log 5.2174 480 0.6666 0.7325 0.6666 0.8165
No log 5.2391 482 0.6585 0.7325 0.6585 0.8115
No log 5.2609 484 0.6485 0.7274 0.6485 0.8053
No log 5.2826 486 0.6532 0.6835 0.6532 0.8082
No log 5.3043 488 0.6819 0.6721 0.6819 0.8258
No log 5.3261 490 0.7098 0.6460 0.7098 0.8425
No log 5.3478 492 0.7203 0.6095 0.7203 0.8487
No log 5.3696 494 0.7090 0.5950 0.7090 0.8420
No log 5.3913 496 0.6929 0.6149 0.6929 0.8324
No log 5.4130 498 0.6865 0.6493 0.6865 0.8286
0.4519 5.4348 500 0.6839 0.6786 0.6839 0.8270
0.4519 5.4565 502 0.6712 0.7000 0.6712 0.8193
0.4519 5.4783 504 0.6601 0.6914 0.6601 0.8124
0.4519 5.5 506 0.6680 0.6854 0.6680 0.8173
0.4519 5.5217 508 0.6658 0.6973 0.6658 0.8160
0.4519 5.5435 510 0.6624 0.6883 0.6624 0.8139
0.4519 5.5652 512 0.6650 0.6874 0.6650 0.8155
0.4519 5.5870 514 0.6757 0.6886 0.6757 0.8220
0.4519 5.6087 516 0.6766 0.7079 0.6766 0.8225
0.4519 5.6304 518 0.6829 0.6904 0.6829 0.8264
0.4519 5.6522 520 0.6731 0.7041 0.6731 0.8204
0.4519 5.6739 522 0.6786 0.6996 0.6786 0.8238
0.4519 5.6957 524 0.7006 0.7029 0.7006 0.8370
0.4519 5.7174 526 0.7084 0.7017 0.7084 0.8417
0.4519 5.7391 528 0.7069 0.6920 0.7069 0.8408
0.4519 5.7609 530 0.7013 0.7055 0.7013 0.8375
0.4519 5.7826 532 0.7177 0.7033 0.7177 0.8472
0.4519 5.8043 534 0.7075 0.7189 0.7075 0.8411
0.4519 5.8261 536 0.7193 0.7031 0.7193 0.8481
0.4519 5.8478 538 0.7613 0.6869 0.7613 0.8725
0.4519 5.8696 540 0.7989 0.6986 0.7989 0.8938
0.4519 5.8913 542 0.7662 0.7029 0.7662 0.8753
0.4519 5.9130 544 0.7588 0.6862 0.7588 0.8711
0.4519 5.9348 546 0.7607 0.6802 0.7607 0.8722
0.4519 5.9565 548 0.7456 0.6779 0.7456 0.8635
0.4519 5.9783 550 0.8080 0.6219 0.8080 0.8989
0.4519 6.0 552 0.9252 0.5889 0.9252 0.9619
0.4519 6.0217 554 0.9885 0.5693 0.9885 0.9942
0.4519 6.0435 556 0.9750 0.5488 0.9750 0.9874

Framework versions

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