ASAP_FineTuningBERT_Aug_k5_task1_organization_fold0

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: 0.4453
  • Qwk: 0.6414
  • Mse: 0.4453
  • Rmse: 0.6673

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 0.0190 2 11.1206 0.0 11.1206 3.3348
No log 0.0381 4 10.2553 0.0 10.2553 3.2024
No log 0.0571 6 9.6595 0.0 9.6595 3.1080
No log 0.0762 8 8.8553 0.0018 8.8553 2.9758
No log 0.0952 10 7.8522 0.0054 7.8522 2.8022
No log 0.1143 12 6.8986 0.0 6.8986 2.6265
No log 0.1333 14 6.0416 0.0 6.0416 2.4580
No log 0.1524 16 5.1749 0.0 5.1749 2.2748
No log 0.1714 18 4.2891 0.0 4.2891 2.0710
No log 0.1905 20 3.4786 0.0201 3.4786 1.8651
No log 0.2095 22 2.7967 0.0115 2.7967 1.6723
No log 0.2286 24 2.1915 0.0077 2.1915 1.4804
No log 0.2476 26 1.7164 0.0039 1.7164 1.3101
No log 0.2667 28 1.3003 0.0627 1.3003 1.1403
No log 0.2857 30 1.0726 0.0419 1.0726 1.0356
No log 0.3048 32 0.8719 0.0316 0.8719 0.9338
No log 0.3238 34 0.7986 0.0316 0.7986 0.8936
No log 0.3429 36 0.7812 0.0316 0.7812 0.8839
No log 0.3619 38 0.7859 0.0212 0.7859 0.8865
No log 0.3810 40 0.7649 0.0316 0.7649 0.8746
No log 0.4 42 0.7328 0.0316 0.7328 0.8560
No log 0.4190 44 0.7204 0.2351 0.7204 0.8488
No log 0.4381 46 0.6876 0.0753 0.6876 0.8292
No log 0.4571 48 0.6432 0.1239 0.6432 0.8020
No log 0.4762 50 0.6456 0.3648 0.6456 0.8035
No log 0.4952 52 0.6401 0.3865 0.6401 0.8001
No log 0.5143 54 0.5915 0.2671 0.5915 0.7691
No log 0.5333 56 0.5791 0.2005 0.5791 0.7610
No log 0.5524 58 0.5879 0.1180 0.5879 0.7668
No log 0.5714 60 0.5859 0.1419 0.5859 0.7654
No log 0.5905 62 0.6425 0.2705 0.6425 0.8015
No log 0.6095 64 0.6766 0.1366 0.6766 0.8226
No log 0.6286 66 0.5825 0.1212 0.5825 0.7632
No log 0.6476 68 0.5883 0.1603 0.5883 0.7670
No log 0.6667 70 0.5436 0.1739 0.5436 0.7373
No log 0.6857 72 0.5074 0.3969 0.5074 0.7123
No log 0.7048 74 0.5023 0.4673 0.5023 0.7087
No log 0.7238 76 0.5314 0.4702 0.5314 0.7290
No log 0.7429 78 0.4935 0.4233 0.4935 0.7025
No log 0.7619 80 0.5039 0.5622 0.5039 0.7099
No log 0.7810 82 0.6403 0.4908 0.6403 0.8002
No log 0.8 84 0.5530 0.5379 0.5530 0.7437
No log 0.8190 86 0.4792 0.5234 0.4792 0.6922
No log 0.8381 88 0.4842 0.5194 0.4842 0.6959
No log 0.8571 90 0.5891 0.5140 0.5891 0.7675
No log 0.8762 92 0.5434 0.5593 0.5434 0.7372
No log 0.8952 94 1.0094 0.2648 1.0094 1.0047
No log 0.9143 96 1.0891 0.2672 1.0891 1.0436
No log 0.9333 98 0.5320 0.4983 0.5320 0.7294
No log 0.9524 100 0.7963 0.1291 0.7963 0.8924
No log 0.9714 102 0.6422 0.4790 0.6422 0.8014
No log 0.9905 104 0.4869 0.5482 0.4869 0.6978
No log 1.0095 106 0.4740 0.4875 0.4740 0.6885
No log 1.0286 108 0.5145 0.4083 0.5145 0.7173
No log 1.0476 110 0.4976 0.4145 0.4976 0.7054
No log 1.0667 112 0.4679 0.5187 0.4679 0.6841
No log 1.0857 114 0.4842 0.5624 0.4842 0.6959
No log 1.1048 116 0.5116 0.5557 0.5116 0.7153
No log 1.1238 118 0.5343 0.5496 0.5343 0.7310
No log 1.1429 120 0.4964 0.5463 0.4964 0.7046
No log 1.1619 122 0.4484 0.5716 0.4484 0.6696
No log 1.1810 124 0.4473 0.5886 0.4473 0.6688
No log 1.2 126 0.5878 0.5364 0.5878 0.7667
No log 1.2190 128 0.4909 0.5908 0.4909 0.7007
No log 1.2381 130 0.4371 0.5126 0.4371 0.6611
No log 1.2571 132 0.4337 0.5799 0.4337 0.6585
No log 1.2762 134 0.4227 0.5607 0.4227 0.6501
No log 1.2952 136 0.4206 0.5344 0.4206 0.6485
No log 1.3143 138 0.4596 0.5921 0.4596 0.6780
No log 1.3333 140 0.5366 0.5546 0.5366 0.7325
No log 1.3524 142 0.5373 0.5582 0.5373 0.7330
No log 1.3714 144 0.4832 0.5888 0.4832 0.6951
No log 1.3905 146 0.4141 0.5566 0.4141 0.6435
No log 1.4095 148 0.4305 0.5735 0.4305 0.6561
No log 1.4286 150 0.6221 0.5515 0.6221 0.7888
No log 1.4476 152 0.5467 0.5613 0.5467 0.7394
No log 1.4667 154 0.4189 0.5495 0.4189 0.6472
No log 1.4857 156 0.4953 0.4668 0.4953 0.7038
No log 1.5048 158 0.4221 0.5374 0.4221 0.6497
No log 1.5238 160 0.4556 0.5755 0.4556 0.6750
No log 1.5429 162 0.5248 0.5669 0.5248 0.7244
No log 1.5619 164 0.4491 0.5666 0.4491 0.6702
No log 1.5810 166 0.4230 0.5493 0.4230 0.6504
No log 1.6 168 0.4223 0.5402 0.4223 0.6499
No log 1.6190 170 0.4243 0.5483 0.4243 0.6514
No log 1.6381 172 0.4440 0.5819 0.4440 0.6663
No log 1.6571 174 0.6050 0.5685 0.6050 0.7778
No log 1.6762 176 0.5420 0.5926 0.5420 0.7362
No log 1.6952 178 0.4787 0.5870 0.4787 0.6918
No log 1.7143 180 0.4648 0.5749 0.4648 0.6818
No log 1.7333 182 0.4709 0.5861 0.4709 0.6862
No log 1.7524 184 0.5404 0.6030 0.5404 0.7351
No log 1.7714 186 0.4414 0.5832 0.4414 0.6644
No log 1.7905 188 0.4486 0.5471 0.4486 0.6697
No log 1.8095 190 0.4359 0.5897 0.4359 0.6603
No log 1.8286 192 0.4412 0.5796 0.4412 0.6643
No log 1.8476 194 0.5179 0.4785 0.5179 0.7196
No log 1.8667 196 0.5498 0.4726 0.5498 0.7415
No log 1.8857 198 0.4693 0.4916 0.4693 0.6850
No log 1.9048 200 0.4618 0.5536 0.4618 0.6796
No log 1.9238 202 0.5056 0.5932 0.5056 0.7111
No log 1.9429 204 0.4296 0.5561 0.4296 0.6554
No log 1.9619 206 0.4364 0.4758 0.4364 0.6606
No log 1.9810 208 0.4834 0.4247 0.4834 0.6952
No log 2.0 210 0.4376 0.4747 0.4376 0.6615
No log 2.0190 212 0.4145 0.5372 0.4145 0.6438
No log 2.0381 214 0.4242 0.5619 0.4242 0.6513
No log 2.0571 216 0.4107 0.5395 0.4107 0.6409
No log 2.0762 218 0.4286 0.4779 0.4286 0.6547
No log 2.0952 220 0.5129 0.4311 0.5129 0.7162
No log 2.1143 222 0.4326 0.4833 0.4326 0.6577
No log 2.1333 224 0.4444 0.5679 0.4444 0.6666
No log 2.1524 226 0.5377 0.5965 0.5377 0.7333
No log 2.1714 228 0.5827 0.5784 0.5827 0.7634
No log 2.1905 230 0.4403 0.5850 0.4403 0.6636
No log 2.2095 232 0.4138 0.5620 0.4138 0.6433
No log 2.2286 234 0.4189 0.5599 0.4189 0.6472
No log 2.2476 236 0.4279 0.5590 0.4279 0.6541
No log 2.2667 238 0.4163 0.5639 0.4163 0.6452
No log 2.2857 240 0.4317 0.5926 0.4317 0.6571
No log 2.3048 242 0.6422 0.5810 0.6422 0.8014
No log 2.3238 244 0.6168 0.5564 0.6168 0.7853
No log 2.3429 246 0.4087 0.5400 0.4087 0.6393
No log 2.3619 248 0.4189 0.4907 0.4189 0.6472
No log 2.3810 250 0.3995 0.5523 0.3995 0.6320
No log 2.4 252 0.4711 0.5615 0.4711 0.6863
No log 2.4190 254 0.6255 0.5518 0.6255 0.7909
No log 2.4381 256 0.5543 0.5752 0.5543 0.7445
No log 2.4571 258 0.4195 0.5762 0.4195 0.6477
No log 2.4762 260 0.3962 0.5747 0.3962 0.6294
No log 2.4952 262 0.4271 0.5708 0.4271 0.6535
No log 2.5143 264 0.4498 0.5735 0.4498 0.6706
No log 2.5333 266 0.4666 0.5824 0.4666 0.6830
No log 2.5524 268 0.3877 0.5870 0.3877 0.6226
No log 2.5714 270 0.4015 0.5286 0.4015 0.6337
No log 2.5905 272 0.4063 0.5187 0.4063 0.6375
No log 2.6095 274 0.3977 0.5922 0.3977 0.6306
No log 2.6286 276 0.4153 0.6054 0.4153 0.6444
No log 2.6476 278 0.4079 0.6111 0.4079 0.6386
No log 2.6667 280 0.4058 0.5952 0.4058 0.6370
No log 2.6857 282 0.4283 0.6375 0.4283 0.6544
No log 2.7048 284 0.4771 0.6332 0.4771 0.6907
No log 2.7238 286 0.5357 0.6570 0.5357 0.7319
No log 2.7429 288 0.4925 0.6640 0.4925 0.7018
No log 2.7619 290 0.4089 0.6174 0.4089 0.6394
No log 2.7810 292 0.4098 0.5554 0.4098 0.6401
No log 2.8 294 0.3987 0.5702 0.3987 0.6314
No log 2.8190 296 0.4093 0.6462 0.4093 0.6398
No log 2.8381 298 0.4064 0.6361 0.4064 0.6375
No log 2.8571 300 0.3966 0.5467 0.3966 0.6297
No log 2.8762 302 0.4010 0.5229 0.4010 0.6333
No log 2.8952 304 0.4068 0.6216 0.4068 0.6378
No log 2.9143 306 0.5340 0.6729 0.5340 0.7308
No log 2.9333 308 0.5382 0.6698 0.5382 0.7336
No log 2.9524 310 0.4062 0.6122 0.4062 0.6374
No log 2.9714 312 0.3981 0.5361 0.3981 0.6310
No log 2.9905 314 0.3952 0.5609 0.3952 0.6286
No log 3.0095 316 0.4195 0.5823 0.4195 0.6477
No log 3.0286 318 0.4010 0.5672 0.4010 0.6332
No log 3.0476 320 0.4009 0.5291 0.4009 0.6331
No log 3.0667 322 0.4071 0.5090 0.4071 0.6381
No log 3.0857 324 0.4098 0.5954 0.4098 0.6401
No log 3.1048 326 0.4635 0.6175 0.4635 0.6808
No log 3.1238 328 0.4452 0.6272 0.4452 0.6672
No log 3.1429 330 0.4138 0.6186 0.4138 0.6433
No log 3.1619 332 0.4355 0.6453 0.4355 0.6599
No log 3.1810 334 0.5553 0.6709 0.5553 0.7452
No log 3.2 336 0.5088 0.6576 0.5088 0.7133
No log 3.2190 338 0.4079 0.5856 0.4079 0.6387
No log 3.2381 340 0.4001 0.5627 0.4001 0.6325
No log 3.2571 342 0.4231 0.5911 0.4231 0.6504
No log 3.2762 344 0.4679 0.6203 0.4679 0.6840
No log 3.2952 346 0.5581 0.6757 0.5581 0.7471
No log 3.3143 348 0.4882 0.6603 0.4882 0.6987
No log 3.3333 350 0.4364 0.5718 0.4364 0.6606
No log 3.3524 352 0.4382 0.5588 0.4382 0.6620
No log 3.3714 354 0.4424 0.6272 0.4424 0.6652
No log 3.3905 356 0.4554 0.6310 0.4554 0.6748
No log 3.4095 358 0.4198 0.5801 0.4198 0.6479
No log 3.4286 360 0.4422 0.6116 0.4422 0.6650
No log 3.4476 362 0.5392 0.6473 0.5392 0.7343
No log 3.4667 364 0.4916 0.6315 0.4916 0.7012
No log 3.4857 366 0.4655 0.6346 0.4655 0.6822
No log 3.5048 368 0.4448 0.6038 0.4448 0.6669
No log 3.5238 370 0.4591 0.5619 0.4591 0.6776
No log 3.5429 372 0.4551 0.6485 0.4551 0.6746
No log 3.5619 374 0.5635 0.6870 0.5635 0.7507
No log 3.5810 376 0.4752 0.6702 0.4752 0.6893
No log 3.6 378 0.4810 0.5052 0.4810 0.6936
No log 3.6190 380 0.6412 0.3916 0.6412 0.8008
No log 3.6381 382 0.5161 0.4640 0.5161 0.7184
No log 3.6571 384 0.4253 0.6018 0.4253 0.6522
No log 3.6762 386 0.4565 0.6444 0.4565 0.6757
No log 3.6952 388 0.4247 0.6032 0.4247 0.6517
No log 3.7143 390 0.4165 0.6032 0.4165 0.6454
No log 3.7333 392 0.4372 0.6250 0.4372 0.6612
No log 3.7524 394 0.4511 0.6543 0.4511 0.6716
No log 3.7714 396 0.4491 0.6564 0.4491 0.6702
No log 3.7905 398 0.5513 0.6839 0.5513 0.7425
No log 3.8095 400 0.5520 0.6935 0.5520 0.7430
No log 3.8286 402 0.4454 0.6605 0.4454 0.6674
No log 3.8476 404 0.4361 0.5574 0.4361 0.6604
No log 3.8667 406 0.4361 0.5324 0.4361 0.6604
No log 3.8857 408 0.4141 0.6480 0.4141 0.6435
No log 3.9048 410 0.5777 0.6738 0.5777 0.7600
No log 3.9238 412 0.6799 0.6786 0.6799 0.8246
No log 3.9429 414 0.5265 0.6707 0.5265 0.7256
No log 3.9619 416 0.3997 0.5839 0.3997 0.6322
No log 3.9810 418 0.4016 0.5514 0.4016 0.6337
No log 4.0 420 0.4085 0.6087 0.4085 0.6392
No log 4.0190 422 0.5168 0.6253 0.5168 0.7189
No log 4.0381 424 0.4926 0.6081 0.4926 0.7018
No log 4.0571 426 0.4001 0.5844 0.4001 0.6326
No log 4.0762 428 0.3982 0.5403 0.3982 0.6311
No log 4.0952 430 0.3950 0.5819 0.3950 0.6285
No log 4.1143 432 0.4017 0.5958 0.4017 0.6338
No log 4.1333 434 0.4164 0.6260 0.4164 0.6453
No log 4.1524 436 0.4830 0.6756 0.4830 0.6950
No log 4.1714 438 0.4446 0.6526 0.4446 0.6668
No log 4.1905 440 0.4269 0.6247 0.4269 0.6534
No log 4.2095 442 0.4933 0.6771 0.4933 0.7023
No log 4.2286 444 0.4826 0.6740 0.4826 0.6947
No log 4.2476 446 0.4342 0.6218 0.4342 0.6589
No log 4.2667 448 0.4422 0.6325 0.4422 0.6650
No log 4.2857 450 0.4993 0.6682 0.4993 0.7066
No log 4.3048 452 0.5245 0.6834 0.5245 0.7242
No log 4.3238 454 0.5213 0.6915 0.5213 0.7220
No log 4.3429 456 0.4277 0.6220 0.4277 0.6540
No log 4.3619 458 0.4191 0.5763 0.4191 0.6474
No log 4.3810 460 0.4164 0.6171 0.4164 0.6453
No log 4.4 462 0.4962 0.6707 0.4962 0.7044
No log 4.4190 464 0.5005 0.6680 0.5005 0.7075
No log 4.4381 466 0.4223 0.6310 0.4223 0.6498
No log 4.4571 468 0.4147 0.5355 0.4147 0.6439
No log 4.4762 470 0.4049 0.5597 0.4049 0.6363
No log 4.4952 472 0.4614 0.6342 0.4614 0.6793
No log 4.5143 474 0.6720 0.6579 0.6720 0.8198
No log 4.5333 476 0.6784 0.6526 0.6784 0.8236
No log 4.5524 478 0.5061 0.6733 0.5061 0.7114
No log 4.5714 480 0.4349 0.6257 0.4349 0.6595
No log 4.5905 482 0.4378 0.6276 0.4378 0.6617
No log 4.6095 484 0.4602 0.6601 0.4602 0.6784
No log 4.6286 486 0.5115 0.6803 0.5115 0.7152
No log 4.6476 488 0.5112 0.6784 0.5112 0.7150
No log 4.6667 490 0.4478 0.6495 0.4478 0.6691
No log 4.6857 492 0.4405 0.5812 0.4405 0.6637
No log 4.7048 494 0.4306 0.6203 0.4306 0.6562
No log 4.7238 496 0.4425 0.6426 0.4425 0.6652
No log 4.7429 498 0.4725 0.6646 0.4725 0.6874
0.6523 4.7619 500 0.4580 0.6490 0.4580 0.6767
0.6523 4.7810 502 0.4411 0.6319 0.4411 0.6641
0.6523 4.8 504 0.5040 0.6574 0.5040 0.7099
0.6523 4.8190 506 0.6127 0.6776 0.6127 0.7827
0.6523 4.8381 508 0.5360 0.6836 0.5360 0.7321
0.6523 4.8571 510 0.4434 0.6257 0.4434 0.6659
0.6523 4.8762 512 0.4351 0.6230 0.4351 0.6596
0.6523 4.8952 514 0.4647 0.6564 0.4647 0.6817
0.6523 4.9143 516 0.5084 0.6896 0.5084 0.7130
0.6523 4.9333 518 0.5430 0.6810 0.5430 0.7369
0.6523 4.9524 520 0.5030 0.6647 0.5030 0.7092
0.6523 4.9714 522 0.5422 0.6663 0.5422 0.7364
0.6523 4.9905 524 0.4926 0.6495 0.4926 0.7018
0.6523 5.0095 526 0.4804 0.6504 0.4804 0.6931
0.6523 5.0286 528 0.4623 0.6346 0.4623 0.6799
0.6523 5.0476 530 0.5017 0.6604 0.5017 0.7083
0.6523 5.0667 532 0.5205 0.6633 0.5205 0.7215
0.6523 5.0857 534 0.4720 0.6503 0.4720 0.6870
0.6523 5.1048 536 0.4273 0.6117 0.4273 0.6537
0.6523 5.1238 538 0.4254 0.5844 0.4254 0.6522
0.6523 5.1429 540 0.4279 0.5933 0.4279 0.6541
0.6523 5.1619 542 0.4412 0.6147 0.4412 0.6642
0.6523 5.1810 544 0.4453 0.6414 0.4453 0.6673

Framework versions

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