ASAP_FineTuningBERT_AugV3_k1_task1_organization_fold3

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5238
  • Qwk: 0.4527
  • Mse: 0.5238
  • Rmse: 0.7238

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0136 2 11.4639 0.0 11.4639 3.3858
No log 0.0272 4 9.0306 0.0012 9.0306 3.0051
No log 0.0408 6 8.3258 0.0122 8.3258 2.8854
No log 0.0544 8 7.3085 0.0 7.3085 2.7034
No log 0.0680 10 6.1222 0.0 6.1222 2.4743
No log 0.0816 12 5.3640 0.0 5.3640 2.3160
No log 0.0952 14 4.6262 0.0 4.6262 2.1509
No log 0.1088 16 3.8236 0.0365 3.8236 1.9554
No log 0.1224 18 3.0723 0.0038 3.0723 1.7528
No log 0.1361 20 2.4022 0.0 2.4022 1.5499
No log 0.1497 22 1.8133 0.0 1.8133 1.3466
No log 0.1633 24 1.9105 0.0 1.9105 1.3822
No log 0.1769 26 1.7754 -0.0015 1.7754 1.3324
No log 0.1905 28 1.3388 0.0992 1.3388 1.1571
No log 0.2041 30 1.5200 0.0281 1.5200 1.2329
No log 0.2177 32 2.5652 0.0076 2.5652 1.6016
No log 0.2313 34 2.5366 0.0076 2.5366 1.5927
No log 0.2449 36 1.5965 0.0350 1.5965 1.2635
No log 0.2585 38 1.1513 0.0647 1.1513 1.0730
No log 0.2721 40 1.1492 0.0625 1.1492 1.0720
No log 0.2857 42 1.2364 0.0842 1.2364 1.1120
No log 0.2993 44 1.3704 0.0545 1.3704 1.1706
No log 0.3129 46 1.2631 0.0757 1.2631 1.1239
No log 0.3265 48 1.1276 0.0623 1.1276 1.0619
No log 0.3401 50 1.1232 0.0610 1.1232 1.0598
No log 0.3537 52 1.1286 0.0514 1.1286 1.0624
No log 0.3673 54 1.0311 0.0514 1.0311 1.0155
No log 0.3810 56 1.0413 0.0636 1.0413 1.0205
No log 0.3946 58 1.1016 0.0498 1.1016 1.0496
No log 0.4082 60 0.9965 0.0591 0.9965 0.9983
No log 0.4218 62 0.8786 0.0574 0.8786 0.9373
No log 0.4354 64 0.8456 0.0574 0.8456 0.9195
No log 0.4490 66 0.8331 0.0528 0.8331 0.9128
No log 0.4626 68 0.8282 0.0528 0.8282 0.9100
No log 0.4762 70 0.8259 0.0623 0.8259 0.9088
No log 0.4898 72 0.8152 0.0601 0.8152 0.9029
No log 0.5034 74 0.8004 0.0601 0.8004 0.8946
No log 0.5170 76 0.8045 0.0661 0.8045 0.8970
No log 0.5306 78 0.7996 0.1773 0.7996 0.8942
No log 0.5442 80 0.7865 0.2136 0.7865 0.8868
No log 0.5578 82 0.7734 0.2735 0.7734 0.8794
No log 0.5714 84 0.7478 0.2254 0.7478 0.8648
No log 0.5850 86 0.7297 0.1177 0.7297 0.8542
No log 0.5986 88 0.7216 0.1106 0.7216 0.8495
No log 0.6122 90 0.7045 0.1627 0.7045 0.8393
No log 0.6259 92 0.6989 0.3412 0.6989 0.8360
No log 0.6395 94 0.6821 0.3517 0.6821 0.8259
No log 0.6531 96 0.6567 0.3389 0.6567 0.8104
No log 0.6667 98 0.6496 0.3422 0.6496 0.8060
No log 0.6803 100 0.6308 0.3156 0.6308 0.7942
No log 0.6939 102 0.6344 0.3150 0.6344 0.7965
No log 0.7075 104 0.6928 0.1841 0.6928 0.8323
No log 0.7211 106 0.8449 0.1419 0.8449 0.9192
No log 0.7347 108 0.6902 0.2791 0.6902 0.8308
No log 0.7483 110 0.6765 0.3824 0.6765 0.8225
No log 0.7619 112 0.7059 0.4463 0.7059 0.8402
No log 0.7755 114 0.6232 0.5005 0.6232 0.7894
No log 0.7891 116 0.5707 0.4511 0.5707 0.7555
No log 0.8027 118 0.5797 0.4047 0.5797 0.7614
No log 0.8163 120 0.5774 0.4070 0.5774 0.7599
No log 0.8299 122 0.5867 0.5263 0.5867 0.7660
No log 0.8435 124 0.7038 0.4924 0.7038 0.8389
No log 0.8571 126 0.6738 0.5043 0.6738 0.8208
No log 0.8707 128 0.9021 0.4003 0.9021 0.9498
No log 0.8844 130 1.9363 0.2185 1.9363 1.3915
No log 0.8980 132 1.0463 0.3296 1.0463 1.0229
No log 0.9116 134 0.6398 0.4895 0.6398 0.7999
No log 0.9252 136 0.8138 0.3769 0.8138 0.9021
No log 0.9388 138 0.8660 0.3623 0.8660 0.9306
No log 0.9524 140 0.7817 0.3878 0.7817 0.8841
No log 0.9660 142 0.7070 0.4118 0.7070 0.8408
No log 0.9796 144 0.6535 0.2929 0.6535 0.8084
No log 0.9932 146 0.6725 0.1665 0.6725 0.8200
No log 1.0068 148 0.6940 0.1446 0.6940 0.8331
No log 1.0204 150 0.6684 0.1755 0.6684 0.8176
No log 1.0340 152 0.7207 0.2152 0.7207 0.8489
No log 1.0476 154 0.6172 0.2827 0.6172 0.7856
No log 1.0612 156 0.5550 0.4825 0.5550 0.7450
No log 1.0748 158 0.6560 0.4940 0.6560 0.8100
No log 1.0884 160 0.7505 0.4396 0.7505 0.8663
No log 1.1020 162 0.7117 0.4507 0.7117 0.8436
No log 1.1156 164 0.6196 0.5026 0.6196 0.7872
No log 1.1293 166 0.5686 0.4359 0.5686 0.7540
No log 1.1429 168 0.6860 0.3734 0.6860 0.8282
No log 1.1565 170 0.6813 0.3771 0.6813 0.8254
No log 1.1701 172 0.5803 0.4325 0.5803 0.7618
No log 1.1837 174 0.5561 0.5091 0.5561 0.7457
No log 1.1973 176 0.6573 0.4198 0.6573 0.8107
No log 1.2109 178 0.6363 0.4649 0.6363 0.7977
No log 1.2245 180 0.5693 0.5596 0.5693 0.7545
No log 1.2381 182 0.5265 0.5490 0.5265 0.7256
No log 1.2517 184 0.5463 0.4701 0.5463 0.7391
No log 1.2653 186 0.5819 0.4160 0.5819 0.7628
No log 1.2789 188 0.5526 0.4350 0.5526 0.7434
No log 1.2925 190 0.5028 0.5329 0.5028 0.7091
No log 1.3061 192 0.5383 0.5657 0.5383 0.7337
No log 1.3197 194 0.5629 0.5670 0.5629 0.7502
No log 1.3333 196 0.5450 0.5622 0.5450 0.7383
No log 1.3469 198 0.4897 0.5234 0.4897 0.6998
No log 1.3605 200 0.4984 0.4876 0.4984 0.7060
No log 1.3741 202 0.5089 0.4671 0.5089 0.7133
No log 1.3878 204 0.4864 0.4983 0.4864 0.6974
No log 1.4014 206 0.5135 0.5597 0.5135 0.7166
No log 1.4150 208 0.5865 0.5443 0.5865 0.7658
No log 1.4286 210 0.5330 0.5639 0.5330 0.7301
No log 1.4422 212 0.4828 0.4964 0.4828 0.6948
No log 1.4558 214 0.4904 0.4714 0.4904 0.7003
No log 1.4694 216 0.4851 0.4918 0.4851 0.6965
No log 1.4830 218 0.5858 0.5584 0.5858 0.7654
No log 1.4966 220 0.7257 0.5227 0.7257 0.8519
No log 1.5102 222 0.6929 0.5297 0.6929 0.8324
No log 1.5238 224 0.5294 0.5745 0.5294 0.7276
No log 1.5374 226 0.4822 0.5010 0.4822 0.6944
No log 1.5510 228 0.4827 0.5005 0.4827 0.6948
No log 1.5646 230 0.4969 0.5417 0.4969 0.7049
No log 1.5782 232 0.5979 0.5483 0.5979 0.7732
No log 1.5918 234 0.6044 0.5492 0.6044 0.7774
No log 1.6054 236 0.5303 0.5720 0.5303 0.7282
No log 1.6190 238 0.4883 0.5408 0.4883 0.6988
No log 1.6327 240 0.4865 0.5102 0.4865 0.6975
No log 1.6463 242 0.4918 0.5351 0.4918 0.7013
No log 1.6599 244 0.5010 0.5078 0.5010 0.7078
No log 1.6735 246 0.5250 0.5374 0.5250 0.7246
No log 1.6871 248 0.5592 0.5540 0.5592 0.7478
No log 1.7007 250 0.5705 0.5540 0.5705 0.7553
No log 1.7143 252 0.5597 0.5462 0.5597 0.7481
No log 1.7279 254 0.5438 0.4998 0.5438 0.7374
No log 1.7415 256 0.5335 0.5003 0.5335 0.7304
No log 1.7551 258 0.5852 0.5633 0.5852 0.7650
No log 1.7687 260 0.6977 0.5605 0.6977 0.8353
No log 1.7823 262 0.7268 0.5680 0.7268 0.8525
No log 1.7959 264 0.6431 0.5649 0.6431 0.8020
No log 1.8095 266 0.5457 0.5480 0.5457 0.7387
No log 1.8231 268 0.4941 0.5146 0.4941 0.7029
No log 1.8367 270 0.5312 0.4348 0.5312 0.7288
No log 1.8503 272 0.5651 0.4208 0.5651 0.7518
No log 1.8639 274 0.5322 0.4214 0.5322 0.7295
No log 1.8776 276 0.4915 0.5233 0.4915 0.7011
No log 1.8912 278 0.6438 0.5572 0.6438 0.8024
No log 1.9048 280 0.7102 0.5591 0.7102 0.8427
No log 1.9184 282 0.6722 0.5626 0.6722 0.8199
No log 1.9320 284 0.5984 0.5674 0.5984 0.7735
No log 1.9456 286 0.5097 0.5585 0.5097 0.7139
No log 1.9592 288 0.4912 0.5155 0.4912 0.7008
No log 1.9728 290 0.4921 0.5015 0.4921 0.7015
No log 1.9864 292 0.5141 0.4515 0.5141 0.7170
No log 2.0 294 0.4831 0.4996 0.4831 0.6951
No log 2.0136 296 0.5110 0.5522 0.5110 0.7148
No log 2.0272 298 0.5483 0.5622 0.5483 0.7405
No log 2.0408 300 0.5668 0.5496 0.5668 0.7529
No log 2.0544 302 0.5371 0.5450 0.5371 0.7329
No log 2.0680 304 0.5028 0.5328 0.5028 0.7091
No log 2.0816 306 0.4896 0.4954 0.4896 0.6997
No log 2.0952 308 0.5044 0.5349 0.5044 0.7102
No log 2.1088 310 0.5718 0.5534 0.5718 0.7562
No log 2.1224 312 0.6424 0.5532 0.6424 0.8015
No log 2.1361 314 0.6414 0.5608 0.6414 0.8009
No log 2.1497 316 0.6219 0.5745 0.6219 0.7886
No log 2.1633 318 0.5977 0.5759 0.5977 0.7731
No log 2.1769 320 0.5352 0.5709 0.5352 0.7315
No log 2.1905 322 0.4924 0.5204 0.4924 0.7017
No log 2.2041 324 0.4857 0.5000 0.4857 0.6969
No log 2.2177 326 0.4891 0.5342 0.4891 0.6994
No log 2.2313 328 0.4853 0.5223 0.4853 0.6966
No log 2.2449 330 0.4849 0.5158 0.4849 0.6963
No log 2.2585 332 0.4982 0.4826 0.4982 0.7058
No log 2.2721 334 0.5014 0.4975 0.5014 0.7081
No log 2.2857 336 0.5199 0.5532 0.5199 0.7211
No log 2.2993 338 0.6230 0.5801 0.6230 0.7893
No log 2.3129 340 0.6403 0.5872 0.6403 0.8002
No log 2.3265 342 0.5727 0.5949 0.5727 0.7568
No log 2.3401 344 0.5298 0.4879 0.5298 0.7279
No log 2.3537 346 0.6590 0.4070 0.6590 0.8118
No log 2.3673 348 0.6931 0.3942 0.6931 0.8325
No log 2.3810 350 0.7236 0.3757 0.7236 0.8506
No log 2.3946 352 0.6332 0.4187 0.6332 0.7957
No log 2.4082 354 0.5278 0.4636 0.5278 0.7265
No log 2.4218 356 0.5064 0.5355 0.5064 0.7116
No log 2.4354 358 0.6095 0.5884 0.6095 0.7807
No log 2.4490 360 0.6284 0.5838 0.6284 0.7927
No log 2.4626 362 0.5555 0.5783 0.5555 0.7453
No log 2.4762 364 0.5493 0.5728 0.5493 0.7412
No log 2.4898 366 0.4873 0.5495 0.4873 0.6981
No log 2.5034 368 0.4771 0.4989 0.4771 0.6908
No log 2.5170 370 0.4845 0.4900 0.4845 0.6961
No log 2.5306 372 0.4739 0.4927 0.4739 0.6884
No log 2.5442 374 0.4820 0.5397 0.4820 0.6943
No log 2.5578 376 0.5131 0.5671 0.5131 0.7163
No log 2.5714 378 0.5490 0.5747 0.5490 0.7409
No log 2.5850 380 0.5527 0.5762 0.5527 0.7434
No log 2.5986 382 0.5364 0.5699 0.5364 0.7324
No log 2.6122 384 0.5435 0.5690 0.5435 0.7372
No log 2.6259 386 0.5633 0.5755 0.5633 0.7505
No log 2.6395 388 0.5473 0.5734 0.5473 0.7398
No log 2.6531 390 0.5415 0.5732 0.5415 0.7359
No log 2.6667 392 0.5120 0.5271 0.5120 0.7155
No log 2.6803 394 0.5173 0.4792 0.5173 0.7192
No log 2.6939 396 0.5512 0.4470 0.5512 0.7424
No log 2.7075 398 0.5603 0.4458 0.5603 0.7486
No log 2.7211 400 0.5641 0.4417 0.5641 0.7511
No log 2.7347 402 0.4905 0.4931 0.4905 0.7004
No log 2.7483 404 0.5352 0.5629 0.5352 0.7316
No log 2.7619 406 0.7192 0.5556 0.7192 0.8481
No log 2.7755 408 0.8603 0.5267 0.8603 0.9275
No log 2.7891 410 0.8931 0.5039 0.8931 0.9451
No log 2.8027 412 0.7315 0.5125 0.7315 0.8553
No log 2.8163 414 0.5663 0.5293 0.5663 0.7525
No log 2.8299 416 0.4971 0.4981 0.4971 0.7051
No log 2.8435 418 0.5020 0.4510 0.5020 0.7085
No log 2.8571 420 0.4899 0.4731 0.4899 0.6999
No log 2.8707 422 0.4892 0.5157 0.4892 0.6994
No log 2.8844 424 0.5774 0.5599 0.5774 0.7599
No log 2.8980 426 0.6391 0.5377 0.6391 0.7994
No log 2.9116 428 0.5876 0.5707 0.5876 0.7666
No log 2.9252 430 0.4930 0.5706 0.4930 0.7021
No log 2.9388 432 0.4607 0.5299 0.4607 0.6788
No log 2.9524 434 0.4632 0.5237 0.4632 0.6806
No log 2.9660 436 0.4829 0.5592 0.4829 0.6949
No log 2.9796 438 0.5325 0.5864 0.5325 0.7297
No log 2.9932 440 0.5682 0.6020 0.5682 0.7538
No log 3.0068 442 0.5487 0.5950 0.5487 0.7407
No log 3.0204 444 0.5299 0.5779 0.5299 0.7279
No log 3.0340 446 0.5403 0.5863 0.5403 0.7350
No log 3.0476 448 0.4921 0.5480 0.4921 0.7015
No log 3.0612 450 0.4901 0.5364 0.4901 0.7001
No log 3.0748 452 0.5156 0.5548 0.5156 0.7181
No log 3.0884 454 0.5150 0.5510 0.5150 0.7177
No log 3.1020 456 0.5142 0.5530 0.5142 0.7171
No log 3.1156 458 0.5142 0.5571 0.5142 0.7171
No log 3.1293 460 0.5196 0.5611 0.5196 0.7208
No log 3.1429 462 0.5454 0.5868 0.5454 0.7385
No log 3.1565 464 0.5529 0.5958 0.5529 0.7436
No log 3.1701 466 0.5315 0.5888 0.5315 0.7290
No log 3.1837 468 0.5453 0.5970 0.5453 0.7384
No log 3.1973 470 0.5375 0.5999 0.5375 0.7332
No log 3.2109 472 0.5137 0.5886 0.5137 0.7167
No log 3.2245 474 0.4667 0.5800 0.4667 0.6831
No log 3.2381 476 0.4524 0.5126 0.4524 0.6726
No log 3.2517 478 0.4711 0.4800 0.4711 0.6863
No log 3.2653 480 0.4676 0.4972 0.4676 0.6838
No log 3.2789 482 0.4721 0.5517 0.4721 0.6871
No log 3.2925 484 0.5470 0.5798 0.5470 0.7396
No log 3.3061 486 0.6291 0.5845 0.6291 0.7931
No log 3.3197 488 0.6522 0.5733 0.6522 0.8076
No log 3.3333 490 0.6262 0.5793 0.6262 0.7914
No log 3.3469 492 0.5827 0.5852 0.5827 0.7634
No log 3.3605 494 0.5407 0.5836 0.5407 0.7353
No log 3.3741 496 0.4730 0.5990 0.4730 0.6877
No log 3.3878 498 0.4448 0.5556 0.4448 0.6670
1.3331 3.4014 500 0.4471 0.5441 0.4471 0.6686
1.3331 3.4150 502 0.4494 0.5373 0.4494 0.6704
1.3331 3.4286 504 0.4530 0.5455 0.4530 0.6730
1.3331 3.4422 506 0.4661 0.5806 0.4661 0.6827
1.3331 3.4558 508 0.4931 0.6053 0.4931 0.7022
1.3331 3.4694 510 0.6043 0.6005 0.6043 0.7774
1.3331 3.4830 512 0.7685 0.5512 0.7685 0.8766
1.3331 3.4966 514 0.8293 0.5337 0.8293 0.9107
1.3331 3.5102 516 0.7257 0.5523 0.7257 0.8519
1.3331 3.5238 518 0.5547 0.6085 0.5547 0.7448
1.3331 3.5374 520 0.4555 0.5841 0.4555 0.6749
1.3331 3.5510 522 0.4388 0.5235 0.4388 0.6624
1.3331 3.5646 524 0.4521 0.4878 0.4521 0.6724
1.3331 3.5782 526 0.4791 0.4568 0.4791 0.6921
1.3331 3.5918 528 0.4990 0.4571 0.4990 0.7064
1.3331 3.6054 530 0.5238 0.4527 0.5238 0.7238

Framework versions

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