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bert_baseline_prompt_adherence_task3_fold3

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metadata
license: apache-2.0
base_model: google-bert/bert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: bert_baseline_prompt_adherence_task3_fold3
    results: []

bert_baseline_prompt_adherence_task3_fold3

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

  • Loss: 0.3771
  • Qwk: 0.6625
  • Mse: 0.3768

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Qwk Mse
No log 0.0308 2 0.9124 0.1718 0.9125
No log 0.0615 4 0.7455 0.0287 0.7453
No log 0.0923 6 0.6467 0.0088 0.6463
No log 0.1231 8 0.6672 0.0 0.6667
No log 0.1538 10 0.6616 0.0 0.6609
No log 0.1846 12 0.5837 0.0088 0.5832
No log 0.2154 14 0.5535 0.0262 0.5531
No log 0.2462 16 0.5233 0.0561 0.5229
No log 0.2769 18 0.5108 0.1771 0.5105
No log 0.3077 20 0.4573 0.3453 0.4571
No log 0.3385 22 0.5081 0.4864 0.5079
No log 0.3692 24 0.5390 0.5338 0.5389
No log 0.4 26 0.4548 0.6223 0.4548
No log 0.4308 28 0.3995 0.5353 0.3996
No log 0.4615 30 0.4074 0.3742 0.4074
No log 0.4923 32 0.3839 0.4608 0.3840
No log 0.5231 34 0.3928 0.6125 0.3927
No log 0.5538 36 0.4124 0.6463 0.4124
No log 0.5846 38 0.4050 0.6468 0.4049
No log 0.6154 40 0.4139 0.6486 0.4138
No log 0.6462 42 0.4559 0.6573 0.4557
No log 0.6769 44 0.4800 0.6615 0.4797
No log 0.7077 46 0.4081 0.6745 0.4078
No log 0.7385 48 0.3439 0.6113 0.3437
No log 0.7692 50 0.3352 0.5814 0.3350
No log 0.8 52 0.3384 0.6342 0.3382
No log 0.8308 54 0.3541 0.6410 0.3538
No log 0.8615 56 0.3615 0.6559 0.3613
No log 0.8923 58 0.3344 0.6134 0.3341
No log 0.9231 60 0.3325 0.4886 0.3322
No log 0.9538 62 0.3561 0.4117 0.3558
No log 0.9846 64 0.3367 0.4607 0.3364
No log 1.0154 66 0.3404 0.6022 0.3401
No log 1.0462 68 0.3990 0.6917 0.3988
No log 1.0769 70 0.4322 0.6917 0.4320
No log 1.1077 72 0.3778 0.6922 0.3776
No log 1.1385 74 0.3628 0.6898 0.3626
No log 1.1692 76 0.3721 0.6845 0.3720
No log 1.2 78 0.3366 0.6579 0.3364
No log 1.2308 80 0.3374 0.5566 0.3372
No log 1.2615 82 0.3337 0.5624 0.3335
No log 1.2923 84 0.3409 0.6597 0.3409
No log 1.3231 86 0.3663 0.6636 0.3662
No log 1.3538 88 0.3446 0.6706 0.3445
No log 1.3846 90 0.3212 0.6512 0.3211
No log 1.4154 92 0.3136 0.5933 0.3133
No log 1.4462 94 0.3179 0.6185 0.3177
No log 1.4769 96 0.3758 0.6839 0.3757
No log 1.5077 98 0.5241 0.6836 0.5241
No log 1.5385 100 0.5995 0.6664 0.5995
No log 1.5692 102 0.5563 0.6593 0.5562
No log 1.6 104 0.4366 0.6957 0.4364
No log 1.6308 106 0.3213 0.6337 0.3210
No log 1.6615 108 0.3290 0.4724 0.3287
No log 1.6923 110 0.3851 0.3892 0.3848
No log 1.7231 112 0.3805 0.3900 0.3803
No log 1.7538 114 0.3327 0.4164 0.3325
No log 1.7846 116 0.3158 0.5906 0.3156
No log 1.8154 118 0.3835 0.6869 0.3833
No log 1.8462 120 0.4522 0.6753 0.4521
No log 1.8769 122 0.4753 0.6628 0.4751
No log 1.9077 124 0.4371 0.6984 0.4370
No log 1.9385 126 0.3581 0.6847 0.3579
No log 1.9692 128 0.3072 0.6079 0.3069
No log 2.0 130 0.3270 0.5348 0.3268
No log 2.0308 132 0.3258 0.5329 0.3256
No log 2.0615 134 0.3089 0.6102 0.3087
No log 2.0923 136 0.3477 0.6750 0.3476
No log 2.1231 138 0.4064 0.7046 0.4062
No log 2.1538 140 0.4262 0.6962 0.4261
No log 2.1846 142 0.3908 0.6952 0.3906
No log 2.2154 144 0.3330 0.6623 0.3328
No log 2.2462 146 0.3131 0.6381 0.3128
No log 2.2769 148 0.3128 0.6305 0.3125
No log 2.3077 150 0.3293 0.6793 0.3290
No log 2.3385 152 0.3806 0.6937 0.3804
No log 2.3692 154 0.4066 0.6888 0.4063
No log 2.4 156 0.3824 0.6886 0.3822
No log 2.4308 158 0.3409 0.6787 0.3407
No log 2.4615 160 0.3277 0.6617 0.3274
No log 2.4923 162 0.3209 0.6513 0.3206
No log 2.5231 164 0.3391 0.6721 0.3389
No log 2.5538 166 0.3385 0.6658 0.3383
No log 2.5846 168 0.3265 0.6456 0.3262
No log 2.6154 170 0.3467 0.6676 0.3465
No log 2.6462 172 0.3525 0.6630 0.3523
No log 2.6769 174 0.3663 0.6788 0.3661
No log 2.7077 176 0.3618 0.6531 0.3616
No log 2.7385 178 0.3459 0.6490 0.3456
No log 2.7692 180 0.3412 0.6499 0.3410
No log 2.8 182 0.3426 0.6523 0.3423
No log 2.8308 184 0.3582 0.6617 0.3579
No log 2.8615 186 0.3813 0.6792 0.3811
No log 2.8923 188 0.3595 0.6692 0.3593
No log 2.9231 190 0.3422 0.6504 0.3420
No log 2.9538 192 0.3372 0.6452 0.3369
No log 2.9846 194 0.3354 0.6488 0.3352
No log 3.0154 196 0.3502 0.6656 0.3500
No log 3.0462 198 0.3952 0.6955 0.3950
No log 3.0769 200 0.4005 0.6925 0.4002
No log 3.1077 202 0.3568 0.6638 0.3565
No log 3.1385 204 0.3335 0.6570 0.3332
No log 3.1692 206 0.3357 0.6589 0.3354
No log 3.2 208 0.3498 0.6543 0.3495
No log 3.2308 210 0.3520 0.6571 0.3517
No log 3.2615 212 0.3458 0.6648 0.3455
No log 3.2923 214 0.3566 0.6585 0.3563
No log 3.3231 216 0.3721 0.6637 0.3718
No log 3.3538 218 0.3803 0.6696 0.3800
No log 3.3846 220 0.4057 0.6813 0.4054
No log 3.4154 222 0.3797 0.6547 0.3794
No log 3.4462 224 0.3430 0.6367 0.3426
No log 3.4769 226 0.3384 0.6270 0.3380
No log 3.5077 228 0.3518 0.6437 0.3515
No log 3.5385 230 0.4057 0.6652 0.4055
No log 3.5692 232 0.4604 0.6894 0.4602
No log 3.6 234 0.4501 0.6785 0.4500
No log 3.6308 236 0.3986 0.6668 0.3984
No log 3.6615 238 0.3424 0.6415 0.3421
No log 3.6923 240 0.3285 0.6150 0.3282
No log 3.7231 242 0.3286 0.6224 0.3284
No log 3.7538 244 0.3454 0.6525 0.3452
No log 3.7846 246 0.3931 0.6735 0.3929
No log 3.8154 248 0.4434 0.6993 0.4432
No log 3.8462 250 0.4605 0.6971 0.4603
No log 3.8769 252 0.4347 0.7034 0.4345
No log 3.9077 254 0.3881 0.6719 0.3878
No log 3.9385 256 0.3610 0.6595 0.3607
No log 3.9692 258 0.3383 0.6454 0.3379
No log 4.0 260 0.3358 0.6465 0.3355
No log 4.0308 262 0.3408 0.6436 0.3404
No log 4.0615 264 0.3612 0.6574 0.3608
No log 4.0923 266 0.3852 0.6775 0.3848
No log 4.1231 268 0.4027 0.6797 0.4024
No log 4.1538 270 0.4135 0.6806 0.4132
No log 4.1846 272 0.4154 0.6832 0.4150
No log 4.2154 274 0.3979 0.6772 0.3975
No log 4.2462 276 0.3891 0.6731 0.3886
No log 4.2769 278 0.3900 0.6731 0.3896
No log 4.3077 280 0.3955 0.6793 0.3951
No log 4.3385 282 0.3922 0.6732 0.3917
No log 4.3692 284 0.3830 0.6616 0.3825
No log 4.4 286 0.3763 0.6596 0.3759
No log 4.4308 288 0.3708 0.6541 0.3704
No log 4.4615 290 0.3686 0.6535 0.3682
No log 4.4923 292 0.3660 0.6574 0.3656
No log 4.5231 294 0.3766 0.6577 0.3762
No log 4.5538 296 0.3833 0.6686 0.3829
No log 4.5846 298 0.3868 0.6721 0.3865
No log 4.6154 300 0.3959 0.6784 0.3955
No log 4.6462 302 0.3951 0.6784 0.3947
No log 4.6769 304 0.3995 0.6743 0.3991
No log 4.7077 306 0.3976 0.6793 0.3972
No log 4.7385 308 0.3961 0.6772 0.3957
No log 4.7692 310 0.3891 0.6722 0.3887
No log 4.8 312 0.3856 0.6680 0.3853
No log 4.8308 314 0.3834 0.6680 0.3831
No log 4.8615 316 0.3814 0.6680 0.3810
No log 4.8923 318 0.3799 0.6646 0.3795
No log 4.9231 320 0.3793 0.6646 0.3789
No log 4.9538 322 0.3780 0.6625 0.3777
No log 4.9846 324 0.3771 0.6625 0.3768

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1