ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_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: 0.7235
  • Qwk: 0.6465
  • Mse: 0.7235
  • Rmse: 0.8506

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 0.0225 2 5.6009 -0.0228 5.6009 2.3666
No log 0.0449 4 3.6243 0.0590 3.6243 1.9037
No log 0.0674 6 2.2686 0.0725 2.2686 1.5062
No log 0.0899 8 2.1633 -0.0471 2.1633 1.4708
No log 0.1124 10 1.7894 0.0408 1.7894 1.3377
No log 0.1348 12 1.3165 0.1631 1.3165 1.1474
No log 0.1573 14 1.2352 0.2389 1.2352 1.1114
No log 0.1798 16 1.1970 0.2773 1.1970 1.0941
No log 0.2022 18 1.2053 0.1799 1.2053 1.0979
No log 0.2247 20 1.2091 0.1703 1.2091 1.0996
No log 0.2472 22 1.2570 0.2396 1.2570 1.1212
No log 0.2697 24 1.2684 0.2670 1.2684 1.1262
No log 0.2921 26 1.2315 0.1965 1.2315 1.1097
No log 0.3146 28 1.2474 0.1695 1.2474 1.1169
No log 0.3371 30 1.1640 0.2578 1.1640 1.0789
No log 0.3596 32 1.1495 0.2501 1.1495 1.0722
No log 0.3820 34 1.1653 0.2722 1.1653 1.0795
No log 0.4045 36 1.1228 0.2715 1.1228 1.0596
No log 0.4270 38 1.1394 0.1985 1.1394 1.0674
No log 0.4494 40 1.1604 0.2050 1.1604 1.0772
No log 0.4719 42 1.0301 0.3485 1.0301 1.0149
No log 0.4944 44 1.0312 0.4037 1.0312 1.0155
No log 0.5169 46 1.1133 0.3304 1.1133 1.0551
No log 0.5393 48 1.0565 0.4120 1.0565 1.0279
No log 0.5618 50 0.8626 0.4725 0.8626 0.9287
No log 0.5843 52 0.7872 0.4936 0.7872 0.8872
No log 0.6067 54 0.7591 0.5667 0.7591 0.8713
No log 0.6292 56 0.8761 0.6104 0.8761 0.9360
No log 0.6517 58 0.8229 0.5908 0.8229 0.9072
No log 0.6742 60 0.7790 0.6350 0.7790 0.8826
No log 0.6966 62 0.8178 0.6300 0.8178 0.9043
No log 0.7191 64 0.7781 0.6312 0.7781 0.8821
No log 0.7416 66 0.7113 0.6747 0.7113 0.8434
No log 0.7640 68 0.7513 0.6513 0.7513 0.8668
No log 0.7865 70 0.8382 0.5995 0.8382 0.9155
No log 0.8090 72 0.8121 0.5955 0.8121 0.9012
No log 0.8315 74 0.7124 0.6654 0.7124 0.8440
No log 0.8539 76 0.6389 0.7084 0.6389 0.7993
No log 0.8764 78 0.6755 0.6686 0.6755 0.8219
No log 0.8989 80 1.0106 0.5965 1.0106 1.0053
No log 0.9213 82 1.1349 0.5117 1.1349 1.0653
No log 0.9438 84 0.8591 0.6302 0.8591 0.9269
No log 0.9663 86 0.6454 0.7111 0.6454 0.8034
No log 0.9888 88 0.6586 0.6770 0.6586 0.8115
No log 1.0112 90 0.7833 0.5775 0.7833 0.8851
No log 1.0337 92 1.0001 0.5443 1.0001 1.0001
No log 1.0562 94 1.0511 0.5366 1.0511 1.0252
No log 1.0787 96 0.7918 0.6137 0.7918 0.8898
No log 1.1011 98 0.7993 0.6355 0.7993 0.8940
No log 1.1236 100 0.9362 0.5900 0.9362 0.9676
No log 1.1461 102 0.8807 0.5823 0.8807 0.9384
No log 1.1685 104 0.6652 0.7034 0.6652 0.8156
No log 1.1910 106 0.6537 0.6945 0.6537 0.8085
No log 1.2135 108 0.6647 0.6573 0.6647 0.8153
No log 1.2360 110 0.6865 0.6154 0.6865 0.8286
No log 1.2584 112 0.6958 0.6123 0.6958 0.8342
No log 1.2809 114 0.6537 0.6379 0.6537 0.8085
No log 1.3034 116 0.6932 0.6481 0.6932 0.8326
No log 1.3258 118 0.6517 0.7099 0.6517 0.8073
No log 1.3483 120 0.6436 0.7115 0.6436 0.8023
No log 1.3708 122 0.6869 0.6750 0.6869 0.8288
No log 1.3933 124 0.6410 0.7172 0.6410 0.8007
No log 1.4157 126 0.6409 0.7273 0.6409 0.8006
No log 1.4382 128 0.6624 0.7044 0.6624 0.8139
No log 1.4607 130 0.6493 0.6766 0.6493 0.8058
No log 1.4831 132 0.6457 0.6883 0.6457 0.8036
No log 1.5056 134 0.6764 0.6998 0.6764 0.8224
No log 1.5281 136 0.6862 0.7075 0.6862 0.8284
No log 1.5506 138 0.6357 0.7219 0.6357 0.7973
No log 1.5730 140 0.6436 0.7352 0.6436 0.8022
No log 1.5955 142 0.6651 0.7094 0.6651 0.8155
No log 1.6180 144 0.7199 0.6763 0.7199 0.8485
No log 1.6404 146 0.6838 0.7166 0.6838 0.8269
No log 1.6629 148 0.6654 0.7318 0.6654 0.8157
No log 1.6854 150 0.7746 0.6929 0.7746 0.8801
No log 1.7079 152 1.1325 0.4866 1.1325 1.0642
No log 1.7303 154 1.1157 0.4817 1.1157 1.0563
No log 1.7528 156 0.8225 0.6560 0.8225 0.9069
No log 1.7753 158 0.7163 0.6523 0.7163 0.8463
No log 1.7978 160 0.6953 0.6375 0.6953 0.8338
No log 1.8202 162 0.6890 0.6336 0.6890 0.8301
No log 1.8427 164 0.6673 0.6373 0.6673 0.8169
No log 1.8652 166 0.6995 0.6336 0.6995 0.8364
No log 1.8876 168 0.6707 0.6365 0.6707 0.8189
No log 1.9101 170 0.6509 0.6510 0.6509 0.8068
No log 1.9326 172 0.6599 0.6218 0.6599 0.8124
No log 1.9551 174 0.8117 0.6104 0.8117 0.9010
No log 1.9775 176 0.8936 0.6074 0.8936 0.9453
No log 2.0 178 0.7225 0.6271 0.7225 0.8500
No log 2.0225 180 0.7182 0.5955 0.7182 0.8474
No log 2.0449 182 0.8381 0.6032 0.8381 0.9155
No log 2.0674 184 0.7593 0.5804 0.7593 0.8714
No log 2.0899 186 0.6959 0.6053 0.6959 0.8342
No log 2.1124 188 0.7028 0.6096 0.7028 0.8383
No log 2.1348 190 0.7365 0.5651 0.7365 0.8582
No log 2.1573 192 0.7406 0.5407 0.7406 0.8606
No log 2.1798 194 0.7920 0.5679 0.7920 0.8899
No log 2.2022 196 0.7737 0.5883 0.7737 0.8796
No log 2.2247 198 0.6954 0.5464 0.6954 0.8339
No log 2.2472 200 0.7188 0.6248 0.7188 0.8478
No log 2.2697 202 0.7507 0.6267 0.7507 0.8664
No log 2.2921 204 0.6794 0.6858 0.6794 0.8243
No log 2.3146 206 0.6817 0.6518 0.6817 0.8256
No log 2.3371 208 0.6905 0.6530 0.6905 0.8309
No log 2.3596 210 0.7058 0.6222 0.7058 0.8401
No log 2.3820 212 0.6875 0.6385 0.6875 0.8292
No log 2.4045 214 0.6464 0.6649 0.6464 0.8040
No log 2.4270 216 0.6365 0.6932 0.6365 0.7978
No log 2.4494 218 0.6375 0.7076 0.6375 0.7985
No log 2.4719 220 0.6256 0.6726 0.6256 0.7909
No log 2.4944 222 0.6181 0.6756 0.6181 0.7862
No log 2.5169 224 0.6382 0.6974 0.6382 0.7989
No log 2.5393 226 0.6211 0.6700 0.6211 0.7881
No log 2.5618 228 0.6405 0.6777 0.6405 0.8003
No log 2.5843 230 0.7690 0.6609 0.7690 0.8769
No log 2.6067 232 0.7861 0.6600 0.7861 0.8866
No log 2.6292 234 0.7464 0.6694 0.7464 0.8640
No log 2.6517 236 0.7080 0.6436 0.7080 0.8414
No log 2.6742 238 0.6340 0.6631 0.6340 0.7962
No log 2.6966 240 0.6777 0.7287 0.6777 0.8232
No log 2.7191 242 0.6845 0.7460 0.6845 0.8274
No log 2.7416 244 0.6378 0.7085 0.6378 0.7986
No log 2.7640 246 0.6803 0.6773 0.6803 0.8248
No log 2.7865 248 0.7018 0.6682 0.7018 0.8377
No log 2.8090 250 0.6427 0.6898 0.6427 0.8017
No log 2.8315 252 0.6230 0.7635 0.6230 0.7893
No log 2.8539 254 0.6190 0.7628 0.6190 0.7868
No log 2.8764 256 0.6487 0.6793 0.6487 0.8054
No log 2.8989 258 0.6914 0.6807 0.6914 0.8315
No log 2.9213 260 0.7326 0.6953 0.7326 0.8559
No log 2.9438 262 0.7258 0.6988 0.7258 0.8520
No log 2.9663 264 0.7757 0.7193 0.7757 0.8808
No log 2.9888 266 0.7599 0.7092 0.7599 0.8717
No log 3.0112 268 0.7248 0.7075 0.7248 0.8514
No log 3.0337 270 0.7883 0.6938 0.7883 0.8879
No log 3.0562 272 0.8026 0.7011 0.8026 0.8959
No log 3.0787 274 0.7691 0.6538 0.7691 0.8770
No log 3.1011 276 0.7001 0.6663 0.7001 0.8367
No log 3.1236 278 0.6761 0.6863 0.6761 0.8223
No log 3.1461 280 0.6943 0.6282 0.6943 0.8333
No log 3.1685 282 0.6992 0.6132 0.6992 0.8362
No log 3.1910 284 0.7323 0.5870 0.7323 0.8557
No log 3.2135 286 0.8155 0.5919 0.8155 0.9030
No log 3.2360 288 0.7897 0.5919 0.7897 0.8886
No log 3.2584 290 0.6739 0.6540 0.6739 0.8209
No log 3.2809 292 0.6299 0.7048 0.6299 0.7937
No log 3.3034 294 0.6310 0.7125 0.6310 0.7944
No log 3.3258 296 0.6960 0.6780 0.6960 0.8343
No log 3.3483 298 0.9045 0.6086 0.9045 0.9510
No log 3.3708 300 1.1398 0.4678 1.1398 1.0676
No log 3.3933 302 1.1696 0.4337 1.1696 1.0815
No log 3.4157 304 1.0464 0.5198 1.0464 1.0229
No log 3.4382 306 0.9093 0.5274 0.9093 0.9536
No log 3.4607 308 0.8477 0.5364 0.8477 0.9207
No log 3.4831 310 0.8424 0.5622 0.8424 0.9178
No log 3.5056 312 0.7752 0.5958 0.7752 0.8804
No log 3.5281 314 0.7038 0.6295 0.7038 0.8389
No log 3.5506 316 0.7024 0.6203 0.7024 0.8381
No log 3.5730 318 0.8051 0.6101 0.8051 0.8973
No log 3.5955 320 1.0450 0.5458 1.0450 1.0222
No log 3.6180 322 1.0654 0.5594 1.0654 1.0322
No log 3.6404 324 0.8623 0.5924 0.8623 0.9286
No log 3.6629 326 0.6735 0.6398 0.6735 0.8207
No log 3.6854 328 0.6463 0.6375 0.6463 0.8039
No log 3.7079 330 0.7171 0.6507 0.7171 0.8468
No log 3.7303 332 0.7240 0.6457 0.7240 0.8509
No log 3.7528 334 0.6797 0.6085 0.6797 0.8244
No log 3.7753 336 0.6454 0.6502 0.6454 0.8034
No log 3.7978 338 0.6329 0.6835 0.6329 0.7956
No log 3.8202 340 0.6303 0.6790 0.6303 0.7939
No log 3.8427 342 0.7014 0.6685 0.7014 0.8375
No log 3.8652 344 0.8944 0.6221 0.8944 0.9458
No log 3.8876 346 0.9643 0.5780 0.9643 0.9820
No log 3.9101 348 0.8235 0.6487 0.8235 0.9075
No log 3.9326 350 0.6375 0.7180 0.6375 0.7984
No log 3.9551 352 0.6008 0.7060 0.6008 0.7751
No log 3.9775 354 0.5981 0.7015 0.5981 0.7734
No log 4.0 356 0.5953 0.7043 0.5953 0.7716
No log 4.0225 358 0.6959 0.6872 0.6959 0.8342
No log 4.0449 360 0.8154 0.6339 0.8154 0.9030
No log 4.0674 362 0.7852 0.6430 0.7852 0.8861
No log 4.0899 364 0.7623 0.6448 0.7623 0.8731
No log 4.1124 366 0.6860 0.6584 0.6860 0.8283
No log 4.1348 368 0.6591 0.6189 0.6591 0.8119
No log 4.1573 370 0.6788 0.6249 0.6788 0.8239
No log 4.1798 372 0.7403 0.6393 0.7403 0.8604
No log 4.2022 374 0.7136 0.6296 0.7136 0.8447
No log 4.2247 376 0.6484 0.6381 0.6484 0.8052
No log 4.2472 378 0.6315 0.6717 0.6315 0.7947
No log 4.2697 380 0.6375 0.6663 0.6375 0.7985
No log 4.2921 382 0.7229 0.6463 0.7229 0.8502
No log 4.3146 384 0.8826 0.6101 0.8826 0.9395
No log 4.3371 386 0.9396 0.6098 0.9396 0.9693
No log 4.3596 388 0.8970 0.6074 0.8970 0.9471
No log 4.3820 390 0.7555 0.6297 0.7555 0.8692
No log 4.4045 392 0.6482 0.6460 0.6482 0.8051
No log 4.4270 394 0.6353 0.6576 0.6353 0.7971
No log 4.4494 396 0.6428 0.6322 0.6428 0.8017
No log 4.4719 398 0.6826 0.6219 0.6826 0.8262
No log 4.4944 400 0.6985 0.6324 0.6985 0.8358
No log 4.5169 402 0.6446 0.6614 0.6446 0.8029
No log 4.5393 404 0.6003 0.7136 0.6003 0.7748
No log 4.5618 406 0.6113 0.6945 0.6113 0.7818
No log 4.5843 408 0.6233 0.6799 0.6233 0.7895
No log 4.6067 410 0.6897 0.6403 0.6897 0.8305
No log 4.6292 412 0.7896 0.6315 0.7896 0.8886
No log 4.6517 414 0.7874 0.6351 0.7874 0.8874
No log 4.6742 416 0.6949 0.6057 0.6949 0.8336
No log 4.6966 418 0.6603 0.6272 0.6603 0.8126
No log 4.7191 420 0.6720 0.6519 0.6720 0.8198
No log 4.7416 422 0.6439 0.6891 0.6439 0.8024
No log 4.7640 424 0.6230 0.6758 0.6230 0.7893
No log 4.7865 426 0.6980 0.6502 0.6980 0.8354
No log 4.8090 428 0.8352 0.6341 0.8352 0.9139
No log 4.8315 430 0.9260 0.6009 0.9260 0.9623
No log 4.8539 432 0.8457 0.6152 0.8457 0.9196
No log 4.8764 434 0.7205 0.6894 0.7205 0.8488
No log 4.8989 436 0.6815 0.6802 0.6815 0.8255
No log 4.9213 438 0.6885 0.6603 0.6885 0.8298
No log 4.9438 440 0.7584 0.6238 0.7584 0.8709
No log 4.9663 442 0.8318 0.6032 0.8318 0.9120
No log 4.9888 444 0.8600 0.5873 0.8600 0.9274
No log 5.0112 446 0.8959 0.5665 0.8959 0.9465
No log 5.0337 448 0.8904 0.5717 0.8904 0.9436
No log 5.0562 450 0.8125 0.6107 0.8125 0.9014
No log 5.0787 452 0.6742 0.6973 0.6742 0.8211
No log 5.1011 454 0.6539 0.7316 0.6539 0.8087
No log 5.1236 456 0.6473 0.7291 0.6473 0.8046
No log 5.1461 458 0.6694 0.6902 0.6694 0.8182
No log 5.1685 460 0.7910 0.6284 0.7910 0.8894
No log 5.1910 462 0.7986 0.6267 0.7986 0.8936
No log 5.2135 464 0.7005 0.6413 0.7005 0.8369
No log 5.2360 466 0.6304 0.7036 0.6304 0.7940
No log 5.2584 468 0.6215 0.7230 0.6215 0.7884
No log 5.2809 470 0.6903 0.6821 0.6903 0.8308
No log 5.3034 472 0.8702 0.6111 0.8702 0.9328
No log 5.3258 474 1.0105 0.5718 1.0105 1.0052
No log 5.3483 476 0.9643 0.5841 0.9643 0.9820
No log 5.3708 478 0.8019 0.6401 0.8019 0.8955
No log 5.3933 480 0.7100 0.6802 0.7100 0.8426
No log 5.4157 482 0.7891 0.6464 0.7891 0.8883
No log 5.4382 484 0.9864 0.6020 0.9864 0.9932
No log 5.4607 486 1.0783 0.5648 1.0783 1.0384
No log 5.4831 488 1.0047 0.5885 1.0047 1.0024
No log 5.5056 490 0.8344 0.6118 0.8344 0.9135
No log 5.5281 492 0.6962 0.6781 0.6962 0.8344
No log 5.5506 494 0.6407 0.7208 0.6407 0.8005
No log 5.5730 496 0.6447 0.7322 0.6447 0.8029
No log 5.5955 498 0.6340 0.7431 0.6340 0.7963
0.4002 5.6180 500 0.6251 0.7455 0.6251 0.7906
0.4002 5.6404 502 0.6301 0.7353 0.6301 0.7938
0.4002 5.6629 504 0.6900 0.6625 0.6900 0.8306
0.4002 5.6854 506 0.8125 0.6327 0.8125 0.9014
0.4002 5.7079 508 0.8148 0.6398 0.8148 0.9027
0.4002 5.7303 510 0.7235 0.6465 0.7235 0.8506

Framework versions

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