ASAP_FineTuningBERT_Aug_k1_task1_organization_fold2

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: 0.6043
  • Qwk: 0.6954
  • Mse: 0.6043
  • Rmse: 0.7774

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 0.0417 2 10.7657 0.0 10.7657 3.2811
No log 0.0833 4 8.2253 0.0183 8.2253 2.8680
No log 0.125 6 6.5378 0.0041 6.5378 2.5569
No log 0.1667 8 5.2750 0.0018 5.2750 2.2967
No log 0.2083 10 3.4516 0.0404 3.4516 1.8579
No log 0.25 12 2.6091 0.0137 2.6091 1.6153
No log 0.2917 14 1.9316 0.0078 1.9316 1.3898
No log 0.3333 16 1.4906 0.0037 1.4906 1.2209
No log 0.375 18 1.1079 0.0860 1.1079 1.0526
No log 0.4167 20 0.9248 0.0334 0.9248 0.9617
No log 0.4583 22 0.8210 0.0241 0.8210 0.9061
No log 0.5 24 0.7948 0.0107 0.7948 0.8915
No log 0.5417 26 0.8327 0.2923 0.8327 0.9125
No log 0.5833 28 0.7003 0.2360 0.7003 0.8368
No log 0.625 30 0.6243 0.1686 0.6243 0.7902
No log 0.6667 32 0.6385 0.4514 0.6385 0.7991
No log 0.7083 34 0.5220 0.4335 0.5220 0.7225
No log 0.75 36 0.7136 0.2509 0.7136 0.8447
No log 0.7917 38 0.5256 0.3999 0.5256 0.7250
No log 0.8333 40 0.5568 0.5058 0.5568 0.7462
No log 0.875 42 0.5081 0.5435 0.5081 0.7128
No log 0.9167 44 0.4580 0.4864 0.4580 0.6768
No log 0.9583 46 0.4694 0.5194 0.4694 0.6851
No log 1.0 48 0.6405 0.4764 0.6405 0.8003
No log 1.0417 50 0.6573 0.4495 0.6573 0.8108
No log 1.0833 52 0.4553 0.5499 0.4553 0.6748
No log 1.125 54 0.4816 0.4867 0.4816 0.6940
No log 1.1667 56 0.4365 0.5584 0.4365 0.6607
No log 1.2083 58 0.5495 0.5828 0.5495 0.7413
No log 1.25 60 0.4410 0.5941 0.4410 0.6641
No log 1.2917 62 0.4411 0.5933 0.4411 0.6641
No log 1.3333 64 0.4733 0.5958 0.4733 0.6880
No log 1.375 66 0.3988 0.5604 0.3988 0.6315
No log 1.4167 68 0.4185 0.6009 0.4185 0.6469
No log 1.4583 70 0.5885 0.5849 0.5885 0.7672
No log 1.5 72 0.4821 0.6061 0.4821 0.6943
No log 1.5417 74 0.4191 0.5966 0.4191 0.6474
No log 1.5833 76 0.3935 0.5474 0.3935 0.6273
No log 1.625 78 0.5128 0.5898 0.5128 0.7161
No log 1.6667 80 0.9075 0.4586 0.9075 0.9526
No log 1.7083 82 0.8435 0.4645 0.8435 0.9184
No log 1.75 84 0.5071 0.5828 0.5071 0.7121
No log 1.7917 86 0.4188 0.5815 0.4188 0.6472
No log 1.8333 88 0.4762 0.5850 0.4762 0.6901
No log 1.875 90 0.5308 0.5879 0.5308 0.7286
No log 1.9167 92 0.4211 0.5919 0.4211 0.6489
No log 1.9583 94 0.3857 0.5509 0.3857 0.6211
No log 2.0 96 0.4026 0.6002 0.4026 0.6345
No log 2.0417 98 0.5385 0.6043 0.5385 0.7338
No log 2.0833 100 0.4661 0.6168 0.4661 0.6827
No log 2.125 102 0.4228 0.6228 0.4228 0.6502
No log 2.1667 104 0.3912 0.5845 0.3912 0.6254
No log 2.2083 106 0.5121 0.6151 0.5121 0.7156
No log 2.25 108 0.6569 0.5691 0.6569 0.8105
No log 2.2917 110 0.6346 0.5780 0.6346 0.7966
No log 2.3333 112 0.3990 0.6045 0.3990 0.6317
No log 2.375 114 0.3813 0.5694 0.3813 0.6175
No log 2.4167 116 0.4148 0.6142 0.4148 0.6440
No log 2.4583 118 0.6545 0.5707 0.6545 0.8090
No log 2.5 120 0.6300 0.5924 0.6300 0.7937
No log 2.5417 122 0.4086 0.5913 0.4086 0.6392
No log 2.5833 124 0.3951 0.5829 0.3951 0.6286
No log 2.625 126 0.5591 0.6010 0.5591 0.7477
No log 2.6667 128 0.6101 0.6029 0.6101 0.7811
No log 2.7083 130 0.4895 0.5991 0.4895 0.6997
No log 2.75 132 0.4068 0.5928 0.4068 0.6378
No log 2.7917 134 0.4556 0.5814 0.4556 0.6750
No log 2.8333 136 0.5489 0.6170 0.5489 0.7409
No log 2.875 138 0.5014 0.6340 0.5014 0.7081
No log 2.9167 140 0.4151 0.6306 0.4151 0.6443
No log 2.9583 142 0.4103 0.6134 0.4103 0.6405
No log 3.0 144 0.5142 0.6563 0.5142 0.7171
No log 3.0417 146 0.5363 0.6662 0.5363 0.7323
No log 3.0833 148 0.5616 0.6778 0.5616 0.7494
No log 3.125 150 0.4689 0.6814 0.4689 0.6847
No log 3.1667 152 0.4135 0.6465 0.4135 0.6430
No log 3.2083 154 0.4662 0.6662 0.4662 0.6828
No log 3.25 156 0.8330 0.5723 0.8330 0.9127
No log 3.2917 158 0.9640 0.5480 0.9640 0.9819
No log 3.3333 160 0.6666 0.5727 0.6666 0.8165
No log 3.375 162 0.4117 0.5973 0.4117 0.6417
No log 3.4167 164 0.4293 0.6170 0.4293 0.6552
No log 3.4583 166 0.6960 0.6004 0.6960 0.8343
No log 3.5 168 0.7161 0.6118 0.7161 0.8463
No log 3.5417 170 0.4412 0.6809 0.4412 0.6643
No log 3.5833 172 0.3832 0.6456 0.3832 0.6190
No log 3.625 174 0.4678 0.7017 0.4678 0.6840
No log 3.6667 176 0.7057 0.6904 0.7057 0.8401
No log 3.7083 178 0.5916 0.6907 0.5916 0.7692
No log 3.75 180 0.4017 0.6291 0.4017 0.6338
No log 3.7917 182 0.4045 0.6393 0.4045 0.6360
No log 3.8333 184 0.4320 0.6974 0.4320 0.6573
No log 3.875 186 0.5215 0.7016 0.5215 0.7221
No log 3.9167 188 0.5924 0.7071 0.5924 0.7696
No log 3.9583 190 0.4533 0.6953 0.4533 0.6733
No log 4.0 192 0.4720 0.6931 0.4720 0.6870
No log 4.0417 194 0.6832 0.6945 0.6832 0.8265
No log 4.0833 196 0.6646 0.7116 0.6646 0.8152
No log 4.125 198 0.4405 0.6850 0.4405 0.6637
No log 4.1667 200 0.3757 0.5815 0.3757 0.6129
No log 4.2083 202 0.3955 0.6029 0.3955 0.6289
No log 4.25 204 0.5973 0.7051 0.5973 0.7728
No log 4.2917 206 0.7222 0.6888 0.7222 0.8498
No log 4.3333 208 0.5359 0.7020 0.5359 0.7321
No log 4.375 210 0.4703 0.6855 0.4703 0.6858
No log 4.4167 212 0.4739 0.6944 0.4739 0.6884
No log 4.4583 214 0.6845 0.6734 0.6845 0.8274
No log 4.5 216 0.7362 0.6653 0.7362 0.8580
No log 4.5417 218 0.5030 0.6474 0.5030 0.7093
No log 4.5833 220 0.3952 0.5584 0.3952 0.6287
No log 4.625 222 0.3953 0.5853 0.3953 0.6287
No log 4.6667 224 0.5264 0.6530 0.5264 0.7255
No log 4.7083 226 0.7965 0.6560 0.7965 0.8925
No log 4.75 228 0.7343 0.6601 0.7343 0.8569
No log 4.7917 230 0.4832 0.6334 0.4832 0.6951
No log 4.8333 232 0.3936 0.5900 0.3936 0.6274
No log 4.875 234 0.4282 0.6461 0.4282 0.6544
No log 4.9167 236 0.6184 0.6872 0.6184 0.7864
No log 4.9583 238 0.6767 0.6869 0.6767 0.8226
No log 5.0 240 0.5716 0.7012 0.5716 0.7561
No log 5.0417 242 0.4097 0.6760 0.4097 0.6401
No log 5.0833 244 0.3916 0.6583 0.3916 0.6258
No log 5.125 246 0.4861 0.7076 0.4861 0.6972
No log 5.1667 248 0.5545 0.7013 0.5545 0.7446
No log 5.2083 250 0.5001 0.7110 0.5001 0.7072
No log 5.25 252 0.5789 0.6996 0.5789 0.7608
No log 5.2917 254 0.5651 0.7012 0.5651 0.7517
No log 5.3333 256 0.4139 0.6762 0.4139 0.6434
No log 5.375 258 0.3925 0.5355 0.3925 0.6265
No log 5.4167 260 0.3857 0.5556 0.3857 0.6211
No log 5.4583 262 0.4237 0.6623 0.4237 0.6509
No log 5.5 264 0.6273 0.6957 0.6273 0.7920
No log 5.5417 266 0.7270 0.6923 0.7270 0.8526
No log 5.5833 268 0.6028 0.6976 0.6028 0.7764
No log 5.625 270 0.4743 0.6633 0.4743 0.6887
No log 5.6667 272 0.4617 0.6621 0.4617 0.6795
No log 5.7083 274 0.5382 0.6847 0.5382 0.7336
No log 5.75 276 0.7118 0.6860 0.7118 0.8437
No log 5.7917 278 0.8327 0.6753 0.8327 0.9125
No log 5.8333 280 0.7823 0.6949 0.7823 0.8845
No log 5.875 282 0.6016 0.7136 0.6016 0.7756
No log 5.9167 284 0.3981 0.6556 0.3981 0.6309
No log 5.9583 286 0.3857 0.5847 0.3857 0.6211
No log 6.0 288 0.3808 0.6048 0.3808 0.6171
No log 6.0417 290 0.4824 0.6944 0.4824 0.6946
No log 6.0833 292 0.7217 0.7020 0.7217 0.8495
No log 6.125 294 0.7880 0.6823 0.7880 0.8877
No log 6.1667 296 0.6048 0.6923 0.6048 0.7777
No log 6.2083 298 0.4116 0.6263 0.4116 0.6416
No log 6.25 300 0.3896 0.5833 0.3896 0.6242
No log 6.2917 302 0.4164 0.6621 0.4164 0.6453
No log 6.3333 304 0.5897 0.7020 0.5897 0.7679
No log 6.375 306 0.8162 0.6843 0.8162 0.9034
No log 6.4167 308 0.7777 0.6946 0.7777 0.8819
No log 6.4583 310 0.5658 0.7083 0.5658 0.7522
No log 6.5 312 0.3994 0.6243 0.3994 0.6320
No log 6.5417 314 0.3873 0.5620 0.3873 0.6223
No log 6.5833 316 0.3947 0.6068 0.3947 0.6283
No log 6.625 318 0.5119 0.6942 0.5119 0.7155
No log 6.6667 320 0.6877 0.7083 0.6877 0.8293
No log 6.7083 322 0.6772 0.7068 0.6772 0.8229
No log 6.75 324 0.5486 0.6935 0.5486 0.7407
No log 6.7917 326 0.4506 0.6687 0.4506 0.6713
No log 6.8333 328 0.4711 0.6731 0.4711 0.6864
No log 6.875 330 0.5570 0.6915 0.5570 0.7464
No log 6.9167 332 0.7005 0.6907 0.7005 0.8369
No log 6.9583 334 0.6728 0.6906 0.6728 0.8203
No log 7.0 336 0.5453 0.6971 0.5453 0.7385
No log 7.0417 338 0.5274 0.7105 0.5274 0.7262
No log 7.0833 340 0.6117 0.7126 0.6117 0.7821
No log 7.125 342 0.7077 0.6988 0.7077 0.8413
No log 7.1667 344 0.6474 0.7108 0.6474 0.8046
No log 7.2083 346 0.5001 0.6831 0.5001 0.7072
No log 7.25 348 0.4499 0.6560 0.4499 0.6707
No log 7.2917 350 0.4495 0.6559 0.4495 0.6705
No log 7.3333 352 0.4939 0.6673 0.4939 0.7028
No log 7.375 354 0.6531 0.7050 0.6531 0.8082
No log 7.4167 356 0.8291 0.6565 0.8291 0.9105
No log 7.4583 358 0.8070 0.6620 0.8070 0.8983
No log 7.5 360 0.6436 0.6892 0.6436 0.8022
No log 7.5417 362 0.5314 0.6770 0.5314 0.7289
No log 7.5833 364 0.4958 0.6746 0.4958 0.7042
No log 7.625 366 0.5176 0.6801 0.5176 0.7194
No log 7.6667 368 0.5773 0.6953 0.5773 0.7598
No log 7.7083 370 0.6013 0.7075 0.6013 0.7754
No log 7.75 372 0.5657 0.7083 0.5657 0.7521
No log 7.7917 374 0.4732 0.7004 0.4732 0.6879
No log 7.8333 376 0.4706 0.6983 0.4706 0.6860
No log 7.875 378 0.5283 0.7006 0.5283 0.7268
No log 7.9167 380 0.6123 0.7025 0.6123 0.7825
No log 7.9583 382 0.6428 0.6936 0.6428 0.8018
No log 8.0 384 0.5758 0.6948 0.5758 0.7588
No log 8.0417 386 0.4962 0.7115 0.4962 0.7044
No log 8.0833 388 0.5020 0.7072 0.5020 0.7085
No log 8.125 390 0.5627 0.6965 0.5627 0.7501
No log 8.1667 392 0.6506 0.7019 0.6506 0.8066
No log 8.2083 394 0.7079 0.7049 0.7079 0.8414
No log 8.25 396 0.6469 0.6982 0.6469 0.8043
No log 8.2917 398 0.5411 0.7013 0.5411 0.7356
No log 8.3333 400 0.5018 0.7143 0.5018 0.7084
No log 8.375 402 0.5157 0.7055 0.5157 0.7182
No log 8.4167 404 0.5275 0.6994 0.5275 0.7263
No log 8.4583 406 0.5201 0.7055 0.5201 0.7212
No log 8.5 408 0.5216 0.6990 0.5216 0.7222
No log 8.5417 410 0.5621 0.6942 0.5621 0.7497
No log 8.5833 412 0.6347 0.7010 0.6347 0.7967
No log 8.625 414 0.7340 0.6877 0.7340 0.8567
No log 8.6667 416 0.7498 0.6842 0.7498 0.8659
No log 8.7083 418 0.6884 0.6975 0.6884 0.8297
No log 8.75 420 0.6261 0.6935 0.6261 0.7912
No log 8.7917 422 0.6042 0.6896 0.6042 0.7773
No log 8.8333 424 0.5943 0.6910 0.5943 0.7709
No log 8.875 426 0.5923 0.6882 0.5923 0.7696
No log 8.9167 428 0.5774 0.6967 0.5774 0.7599
No log 8.9583 430 0.5922 0.6954 0.5922 0.7695
No log 9.0 432 0.6230 0.6946 0.6230 0.7893
No log 9.0417 434 0.6648 0.7012 0.6648 0.8153
No log 9.0833 436 0.6526 0.7048 0.6526 0.8078
No log 9.125 438 0.6050 0.6911 0.6050 0.7778
No log 9.1667 440 0.5683 0.6876 0.5683 0.7538
No log 9.2083 442 0.5459 0.6753 0.5459 0.7388
No log 9.25 444 0.5326 0.6796 0.5326 0.7298
No log 9.2917 446 0.5409 0.6755 0.5409 0.7354
No log 9.3333 448 0.5647 0.6927 0.5647 0.7515
No log 9.375 450 0.5759 0.6875 0.5759 0.7589
No log 9.4167 452 0.5919 0.6900 0.5919 0.7694
No log 9.4583 454 0.6127 0.6867 0.6127 0.7827
No log 9.5 456 0.6028 0.6877 0.6028 0.7764
No log 9.5417 458 0.6010 0.6877 0.6010 0.7753
No log 9.5833 460 0.6012 0.6916 0.6012 0.7754
No log 9.625 462 0.5903 0.6969 0.5903 0.7683
No log 9.6667 464 0.5997 0.6930 0.5997 0.7744
No log 9.7083 466 0.6021 0.6930 0.6021 0.7759
No log 9.75 468 0.6001 0.6930 0.6001 0.7747
No log 9.7917 470 0.6003 0.6916 0.6003 0.7748
No log 9.8333 472 0.5992 0.6916 0.5992 0.7741
No log 9.875 474 0.5982 0.6925 0.5982 0.7735
No log 9.9167 476 0.5994 0.6916 0.5994 0.7742
No log 9.9583 478 0.6028 0.6954 0.6028 0.7764
No log 10.0 480 0.6043 0.6954 0.6043 0.7774

Framework versions

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