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bert_baseline_prompt_adherence_task4_fold4

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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_task4_fold3
    results: []

bert_baseline_prompt_adherence_task4_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: 0.3007
  • Qwk: 0.7134
  • Mse: 0.3007

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 0.0299 2 1.1652 0.0 1.1652
No log 0.0597 4 0.8846 0.0 0.8846
No log 0.0896 6 0.8201 0.0410 0.8201
No log 0.1194 8 0.7309 0.3544 0.7309
No log 0.1493 10 0.7578 0.3105 0.7578
No log 0.1791 12 0.7143 0.3280 0.7143
No log 0.2090 14 0.6343 0.3423 0.6343
No log 0.2388 16 0.5999 0.3575 0.5999
No log 0.2687 18 0.5471 0.3610 0.5471
No log 0.2985 20 0.5081 0.3822 0.5081
No log 0.3284 22 0.4839 0.3950 0.4839
No log 0.3582 24 0.4767 0.4624 0.4767
No log 0.3881 26 0.4623 0.4753 0.4623
No log 0.4179 28 0.4515 0.5443 0.4515
No log 0.4478 30 0.4418 0.5861 0.4418
No log 0.4776 32 0.4497 0.6372 0.4497
No log 0.5075 34 0.4684 0.6804 0.4684
No log 0.5373 36 0.4103 0.5638 0.4103
No log 0.5672 38 0.4692 0.4278 0.4692
No log 0.5970 40 0.4385 0.4702 0.4385
No log 0.6269 42 0.4057 0.6059 0.4057
No log 0.6567 44 0.4075 0.6238 0.4075
No log 0.6866 46 0.4234 0.6279 0.4234
No log 0.7164 48 0.4115 0.6273 0.4115
No log 0.7463 50 0.4058 0.6275 0.4058
No log 0.7761 52 0.4300 0.5914 0.4300
No log 0.8060 54 0.4332 0.6025 0.4332
No log 0.8358 56 0.4235 0.6677 0.4235
No log 0.8657 58 0.4115 0.7315 0.4115
No log 0.8955 60 0.4135 0.7072 0.4135
No log 0.9254 62 0.3817 0.6369 0.3817
No log 0.9552 64 0.3606 0.5386 0.3606
No log 0.9851 66 0.3687 0.4897 0.3687
No log 1.0149 68 0.3556 0.5853 0.3556
No log 1.0448 70 0.5049 0.7415 0.5049
No log 1.0746 72 0.6769 0.7072 0.6769
No log 1.1045 74 0.6039 0.7261 0.6039
No log 1.1343 76 0.4060 0.7198 0.4060
No log 1.1642 78 0.3443 0.6533 0.3443
No log 1.1940 80 0.3495 0.5565 0.3495
No log 1.2239 82 0.3811 0.5224 0.3811
No log 1.2537 84 0.3542 0.5846 0.3542
No log 1.2836 86 0.4255 0.7504 0.4255
No log 1.3134 88 0.6892 0.7008 0.6892
No log 1.3433 90 0.8083 0.6679 0.8083
No log 1.3731 92 0.6980 0.7011 0.6980
No log 1.4030 94 0.4612 0.7265 0.4612
No log 1.4328 96 0.3490 0.5371 0.3490
No log 1.4627 98 0.5146 0.3705 0.5146
No log 1.4925 100 0.5892 0.3434 0.5892
No log 1.5224 102 0.4912 0.3726 0.4912
No log 1.5522 104 0.3555 0.5078 0.3555
No log 1.5821 106 0.3535 0.6587 0.3535
No log 1.6119 108 0.4582 0.7396 0.4582
No log 1.6418 110 0.4804 0.7252 0.4804
No log 1.6716 112 0.4264 0.7211 0.4264
No log 1.7015 114 0.3477 0.6178 0.3477
No log 1.7313 116 0.3480 0.5050 0.3480
No log 1.7612 118 0.3673 0.4892 0.3673
No log 1.7910 120 0.3600 0.4946 0.3600
No log 1.8209 122 0.3388 0.5381 0.3388
No log 1.8507 124 0.3300 0.6645 0.3300
No log 1.8806 126 0.3572 0.7312 0.3572
No log 1.9104 128 0.3822 0.7526 0.3822
No log 1.9403 130 0.4252 0.7575 0.4252
No log 1.9701 132 0.4264 0.7640 0.4264
No log 2.0 134 0.3658 0.7410 0.3658
No log 2.0299 136 0.3297 0.7094 0.3297
No log 2.0597 138 0.3264 0.7102 0.3264
No log 2.0896 140 0.3522 0.7487 0.3522
No log 2.1194 142 0.3914 0.7552 0.3914
No log 2.1493 144 0.4335 0.7680 0.4335
No log 2.1791 146 0.4439 0.7586 0.4439
No log 2.2090 148 0.3692 0.7491 0.3692
No log 2.2388 150 0.3258 0.6501 0.3258
No log 2.2687 152 0.3523 0.6000 0.3523
No log 2.2985 154 0.3407 0.6159 0.3407
No log 2.3284 156 0.3342 0.6202 0.3342
No log 2.3582 158 0.3294 0.7100 0.3294
No log 2.3881 160 0.3491 0.7501 0.3491
No log 2.4179 162 0.3731 0.7590 0.3731
No log 2.4478 164 0.3408 0.7523 0.3408
No log 2.4776 166 0.3112 0.6943 0.3112
No log 2.5075 168 0.3135 0.7184 0.3135
No log 2.5373 170 0.3134 0.7015 0.3134
No log 2.5672 172 0.3262 0.7419 0.3262
No log 2.5970 174 0.3347 0.7282 0.3347
No log 2.6269 176 0.3192 0.6942 0.3192
No log 2.6567 178 0.3078 0.6348 0.3078
No log 2.6866 180 0.3097 0.6600 0.3097
No log 2.7164 182 0.3294 0.6841 0.3294
No log 2.7463 184 0.3479 0.7260 0.3479
No log 2.7761 186 0.3401 0.7118 0.3401
No log 2.8060 188 0.3360 0.7117 0.3360
No log 2.8358 190 0.3056 0.6730 0.3056
No log 2.8657 192 0.2965 0.6508 0.2965
No log 2.8955 194 0.2960 0.6731 0.2960
No log 2.9254 196 0.3068 0.7254 0.3068
No log 2.9552 198 0.3087 0.7405 0.3087
No log 2.9851 200 0.3304 0.7504 0.3304
No log 3.0149 202 0.3751 0.7815 0.3751
No log 3.0448 204 0.3574 0.7730 0.3574
No log 3.0746 206 0.3088 0.7355 0.3088
No log 3.1045 208 0.2871 0.6991 0.2871
No log 3.1343 210 0.2886 0.6702 0.2886
No log 3.1642 212 0.2844 0.7040 0.2844
No log 3.1940 214 0.3033 0.7327 0.3033
No log 3.2239 216 0.3049 0.7362 0.3049
No log 3.2537 218 0.2916 0.6614 0.2916
No log 3.2836 220 0.2944 0.6488 0.2944
No log 3.3134 222 0.2985 0.6593 0.2985
No log 3.3433 224 0.2998 0.6534 0.2998
No log 3.3731 226 0.3006 0.6674 0.3006
No log 3.4030 228 0.3110 0.7123 0.3110
No log 3.4328 230 0.3410 0.7500 0.3410
No log 3.4627 232 0.3420 0.7495 0.3420
No log 3.4925 234 0.3212 0.7474 0.3212
No log 3.5224 236 0.3012 0.7157 0.3012
No log 3.5522 238 0.2985 0.7168 0.2985
No log 3.5821 240 0.3101 0.7502 0.3101
No log 3.6119 242 0.3348 0.7567 0.3348
No log 3.6418 244 0.3399 0.7589 0.3399
No log 3.6716 246 0.3245 0.7547 0.3245
No log 3.7015 248 0.3113 0.7515 0.3113
No log 3.7313 250 0.2960 0.7236 0.2960
No log 3.7612 252 0.2962 0.7293 0.2962
No log 3.7910 254 0.3069 0.7442 0.3069
No log 3.8209 256 0.3069 0.7433 0.3069
No log 3.8507 258 0.2979 0.7457 0.2979
No log 3.8806 260 0.2953 0.7366 0.2953
No log 3.9104 262 0.2937 0.7168 0.2937
No log 3.9403 264 0.2930 0.6800 0.2930
No log 3.9701 266 0.2948 0.6522 0.2948
No log 4.0 268 0.2976 0.6603 0.2976
No log 4.0299 270 0.3080 0.7057 0.3080
No log 4.0597 272 0.3385 0.7483 0.3385
No log 4.0896 274 0.3662 0.7436 0.3662
No log 4.1194 276 0.3628 0.7465 0.3628
No log 4.1493 278 0.3366 0.7420 0.3366
No log 4.1791 280 0.3211 0.7371 0.3211
No log 4.2090 282 0.3076 0.7307 0.3076
No log 4.2388 284 0.3029 0.6986 0.3029
No log 4.2687 286 0.3028 0.6533 0.3028
No log 4.2985 288 0.3025 0.6613 0.3025
No log 4.3284 290 0.3052 0.7293 0.3052
No log 4.3582 292 0.3108 0.7444 0.3108
No log 4.3881 294 0.3108 0.7444 0.3108
No log 4.4179 296 0.3085 0.7431 0.3085
No log 4.4478 298 0.3061 0.7384 0.3061
No log 4.4776 300 0.3071 0.7357 0.3071
No log 4.5075 302 0.3097 0.7392 0.3097
No log 4.5373 304 0.3115 0.7464 0.3115
No log 4.5672 306 0.3114 0.7477 0.3114
No log 4.5970 308 0.3072 0.7332 0.3072
No log 4.6269 310 0.3050 0.7310 0.3050
No log 4.6567 312 0.3040 0.7358 0.3040
No log 4.6866 314 0.3036 0.7311 0.3036
No log 4.7164 316 0.3050 0.7392 0.3050
No log 4.7463 318 0.3053 0.7440 0.3053
No log 4.7761 320 0.3055 0.7440 0.3055
No log 4.8060 322 0.3037 0.7311 0.3037
No log 4.8358 324 0.3023 0.7286 0.3023
No log 4.8657 326 0.3017 0.7284 0.3017
No log 4.8955 328 0.3009 0.7134 0.3009
No log 4.9254 330 0.3007 0.7134 0.3007
No log 4.9552 332 0.3006 0.7134 0.3006
No log 4.9851 334 0.3007 0.7134 0.3007

Framework versions

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