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bert_baseline_prompt_adherence_task3_fold3

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@@ -4,20 +4,20 @@ base_model: google-bert/bert-base-cased
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: bert_baseline_prompt_adherence_task3_fold2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
13
 
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- # bert_baseline_prompt_adherence_task3_fold2
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3865
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- - Qwk: 0.6205
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- - Mse: 0.3868
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  ## Model description
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@@ -48,168 +48,168 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.0308 | 2 | 0.9209 | 0.0721 | 0.9218 |
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- | No log | 0.0615 | 4 | 0.7058 | 0.0 | 0.7068 |
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- | No log | 0.0923 | 6 | 0.6332 | 0.0 | 0.6344 |
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- | No log | 0.1231 | 8 | 0.6461 | 0.0 | 0.6473 |
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- | No log | 0.1538 | 10 | 0.6356 | 0.0 | 0.6368 |
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- | No log | 0.1846 | 12 | 0.5833 | 0.0 | 0.5844 |
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- | No log | 0.2154 | 14 | 0.5584 | 0.0 | 0.5595 |
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- | No log | 0.2462 | 16 | 0.5636 | 0.0 | 0.5645 |
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- | No log | 0.2769 | 18 | 0.5578 | 0.0 | 0.5588 |
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- | No log | 0.3077 | 20 | 0.5330 | 0.0090 | 0.5340 |
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- | No log | 0.3385 | 22 | 0.4862 | 0.0297 | 0.4871 |
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- | No log | 0.3692 | 24 | 0.4627 | 0.1885 | 0.4635 |
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- | No log | 0.4 | 26 | 0.4589 | 0.4569 | 0.4597 |
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- | No log | 0.4308 | 28 | 0.4252 | 0.5118 | 0.4259 |
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- | No log | 0.4615 | 30 | 0.4208 | 0.5424 | 0.4214 |
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- | No log | 0.4923 | 32 | 0.4120 | 0.4962 | 0.4126 |
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- | No log | 0.5231 | 34 | 0.4650 | 0.3983 | 0.4657 |
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- | No log | 0.5538 | 36 | 0.6042 | 0.2581 | 0.6049 |
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- | No log | 0.5846 | 38 | 0.5797 | 0.2927 | 0.5804 |
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- | No log | 0.6154 | 40 | 0.4671 | 0.3941 | 0.4677 |
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- | No log | 0.6462 | 42 | 0.4642 | 0.4488 | 0.4647 |
72
- | No log | 0.6769 | 44 | 0.4843 | 0.5479 | 0.4848 |
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- | No log | 0.7077 | 46 | 0.4777 | 0.6022 | 0.4781 |
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- | No log | 0.7385 | 48 | 0.4644 | 0.5947 | 0.4648 |
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- | No log | 0.7692 | 50 | 0.3865 | 0.5476 | 0.3870 |
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- | No log | 0.8 | 52 | 0.3739 | 0.5548 | 0.3743 |
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- | No log | 0.8308 | 54 | 0.4036 | 0.6030 | 0.4040 |
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- | No log | 0.8615 | 56 | 0.4922 | 0.6210 | 0.4926 |
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- | No log | 0.8923 | 58 | 0.5134 | 0.6215 | 0.5138 |
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- | No log | 0.9231 | 60 | 0.4476 | 0.6219 | 0.4479 |
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- | No log | 0.9538 | 62 | 0.4020 | 0.6279 | 0.4023 |
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- | No log | 0.9846 | 64 | 0.3963 | 0.6294 | 0.3966 |
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- | No log | 1.0154 | 66 | 0.3739 | 0.6026 | 0.3742 |
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- | No log | 1.0462 | 68 | 0.3901 | 0.6210 | 0.3903 |
85
- | No log | 1.0769 | 70 | 0.3873 | 0.6134 | 0.3875 |
86
- | No log | 1.1077 | 72 | 0.4214 | 0.6277 | 0.4215 |
87
- | No log | 1.1385 | 74 | 0.4557 | 0.6312 | 0.4558 |
88
- | No log | 1.1692 | 76 | 0.4140 | 0.6287 | 0.4141 |
89
- | No log | 1.2 | 78 | 0.3723 | 0.5992 | 0.3725 |
90
- | No log | 1.2308 | 80 | 0.3738 | 0.5884 | 0.3740 |
91
- | No log | 1.2615 | 82 | 0.3897 | 0.6109 | 0.3898 |
92
- | No log | 1.2923 | 84 | 0.4131 | 0.6202 | 0.4132 |
93
- | No log | 1.3231 | 86 | 0.4389 | 0.6198 | 0.4391 |
94
- | No log | 1.3538 | 88 | 0.4140 | 0.6212 | 0.4142 |
95
- | No log | 1.3846 | 90 | 0.3720 | 0.6116 | 0.3723 |
96
- | No log | 1.4154 | 92 | 0.3373 | 0.5762 | 0.3376 |
97
- | No log | 1.4462 | 94 | 0.3269 | 0.5504 | 0.3273 |
98
- | No log | 1.4769 | 96 | 0.3340 | 0.6284 | 0.3344 |
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- | No log | 1.5077 | 98 | 0.3765 | 0.6424 | 0.3769 |
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- | No log | 1.5385 | 100 | 0.4626 | 0.6258 | 0.4631 |
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- | No log | 1.5692 | 102 | 0.4455 | 0.6303 | 0.4461 |
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- | No log | 1.6 | 104 | 0.3552 | 0.6401 | 0.3558 |
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- | No log | 1.6308 | 106 | 0.3091 | 0.5522 | 0.3097 |
104
- | No log | 1.6615 | 108 | 0.3105 | 0.5415 | 0.3111 |
105
- | No log | 1.6923 | 110 | 0.3240 | 0.6195 | 0.3247 |
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- | No log | 1.7231 | 112 | 0.3762 | 0.6409 | 0.3770 |
107
- | No log | 1.7538 | 114 | 0.4521 | 0.6156 | 0.4529 |
108
- | No log | 1.7846 | 116 | 0.4163 | 0.6405 | 0.4170 |
109
- | No log | 1.8154 | 118 | 0.3626 | 0.6411 | 0.3633 |
110
- | No log | 1.8462 | 120 | 0.3529 | 0.6359 | 0.3536 |
111
- | No log | 1.8769 | 122 | 0.3726 | 0.6447 | 0.3734 |
112
- | No log | 1.9077 | 124 | 0.3840 | 0.6250 | 0.3847 |
113
- | No log | 1.9385 | 126 | 0.3554 | 0.6208 | 0.3562 |
114
- | No log | 1.9692 | 128 | 0.3276 | 0.5576 | 0.3285 |
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- | No log | 2.0 | 130 | 0.3269 | 0.5270 | 0.3278 |
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- | No log | 2.0308 | 132 | 0.3320 | 0.5808 | 0.3328 |
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- | No log | 2.0615 | 134 | 0.3699 | 0.6345 | 0.3706 |
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- | No log | 2.0923 | 136 | 0.3914 | 0.6391 | 0.3919 |
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- | No log | 2.1231 | 138 | 0.3926 | 0.6470 | 0.3932 |
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- | No log | 2.1538 | 140 | 0.3570 | 0.6304 | 0.3574 |
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- | No log | 2.1846 | 142 | 0.3445 | 0.5527 | 0.3449 |
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- | No log | 2.2154 | 144 | 0.3578 | 0.5157 | 0.3582 |
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- | No log | 2.2462 | 146 | 0.3503 | 0.5666 | 0.3506 |
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- | No log | 2.2769 | 148 | 0.4131 | 0.6374 | 0.4133 |
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- | No log | 2.3077 | 150 | 0.5248 | 0.6554 | 0.5249 |
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- | No log | 2.3385 | 152 | 0.5552 | 0.6448 | 0.5553 |
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- | No log | 2.3692 | 154 | 0.4859 | 0.6509 | 0.4861 |
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- | No log | 2.4 | 156 | 0.3954 | 0.6432 | 0.3956 |
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- | No log | 2.4308 | 158 | 0.3557 | 0.6127 | 0.3560 |
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- | No log | 2.4615 | 160 | 0.3583 | 0.6304 | 0.3585 |
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- | No log | 2.4923 | 162 | 0.3558 | 0.6184 | 0.3560 |
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- | No log | 2.5231 | 164 | 0.3630 | 0.6348 | 0.3632 |
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- | No log | 2.5538 | 166 | 0.3875 | 0.6517 | 0.3877 |
134
- | No log | 2.5846 | 168 | 0.3741 | 0.6488 | 0.3743 |
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- | No log | 2.6154 | 170 | 0.3590 | 0.6356 | 0.3593 |
136
- | No log | 2.6462 | 172 | 0.3372 | 0.5962 | 0.3375 |
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- | No log | 2.6769 | 174 | 0.3386 | 0.6013 | 0.3388 |
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- | No log | 2.7077 | 176 | 0.3585 | 0.6326 | 0.3587 |
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- | No log | 2.7385 | 178 | 0.3830 | 0.6366 | 0.3832 |
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- | No log | 2.7692 | 180 | 0.3715 | 0.6394 | 0.3717 |
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- | No log | 2.8 | 182 | 0.3562 | 0.6129 | 0.3564 |
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- | No log | 2.8308 | 184 | 0.3686 | 0.6059 | 0.3687 |
143
- | No log | 2.8615 | 186 | 0.4020 | 0.6375 | 0.4021 |
144
- | No log | 2.8923 | 188 | 0.4058 | 0.6248 | 0.4058 |
145
- | No log | 2.9231 | 190 | 0.3896 | 0.6170 | 0.3897 |
146
- | No log | 2.9538 | 192 | 0.3750 | 0.6119 | 0.3752 |
147
- | No log | 2.9846 | 194 | 0.3567 | 0.5864 | 0.3570 |
148
- | No log | 3.0154 | 196 | 0.3520 | 0.5827 | 0.3523 |
149
- | No log | 3.0462 | 198 | 0.3761 | 0.6138 | 0.3763 |
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- | No log | 3.0769 | 200 | 0.4113 | 0.6249 | 0.4115 |
151
- | No log | 3.1077 | 202 | 0.4565 | 0.6324 | 0.4567 |
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- | No log | 3.1385 | 204 | 0.4397 | 0.6308 | 0.4398 |
153
- | No log | 3.1692 | 206 | 0.4039 | 0.6298 | 0.4041 |
154
- | No log | 3.2 | 208 | 0.3731 | 0.6179 | 0.3733 |
155
- | No log | 3.2308 | 210 | 0.3707 | 0.6174 | 0.3709 |
156
- | No log | 3.2615 | 212 | 0.3995 | 0.6206 | 0.3996 |
157
- | No log | 3.2923 | 214 | 0.4179 | 0.6259 | 0.4181 |
158
- | No log | 3.3231 | 216 | 0.4157 | 0.6315 | 0.4159 |
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- | No log | 3.3538 | 218 | 0.4204 | 0.6264 | 0.4205 |
160
- | No log | 3.3846 | 220 | 0.3934 | 0.6247 | 0.3936 |
161
- | No log | 3.4154 | 222 | 0.3840 | 0.6296 | 0.3842 |
162
- | No log | 3.4462 | 224 | 0.3688 | 0.6245 | 0.3690 |
163
- | No log | 3.4769 | 226 | 0.3566 | 0.6139 | 0.3568 |
164
- | No log | 3.5077 | 228 | 0.3496 | 0.6088 | 0.3499 |
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- | No log | 3.5385 | 230 | 0.3631 | 0.6246 | 0.3633 |
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- | No log | 3.5692 | 232 | 0.3979 | 0.6243 | 0.3982 |
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- | No log | 3.6 | 234 | 0.4009 | 0.6244 | 0.4011 |
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- | No log | 3.6308 | 236 | 0.3887 | 0.6232 | 0.3889 |
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- | No log | 3.6615 | 238 | 0.3761 | 0.6199 | 0.3764 |
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- | No log | 3.6923 | 240 | 0.3744 | 0.6173 | 0.3747 |
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- | No log | 3.7231 | 242 | 0.3733 | 0.6157 | 0.3736 |
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- | No log | 3.7538 | 244 | 0.3747 | 0.6199 | 0.3749 |
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- | No log | 3.7846 | 246 | 0.3837 | 0.6211 | 0.3839 |
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- | No log | 3.8154 | 248 | 0.3847 | 0.6274 | 0.3850 |
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- | No log | 3.8462 | 250 | 0.3831 | 0.6205 | 0.3834 |
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- | No log | 3.8769 | 252 | 0.3816 | 0.6199 | 0.3819 |
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- | No log | 3.9077 | 254 | 0.3958 | 0.6242 | 0.3961 |
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- | No log | 3.9385 | 256 | 0.3982 | 0.6242 | 0.3985 |
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- | No log | 3.9692 | 258 | 0.4001 | 0.6200 | 0.4004 |
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- | No log | 4.0 | 260 | 0.4020 | 0.6152 | 0.4022 |
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- | No log | 4.0308 | 262 | 0.4158 | 0.6227 | 0.4160 |
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- | No log | 4.0615 | 264 | 0.4118 | 0.6227 | 0.4121 |
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- | No log | 4.0923 | 266 | 0.4022 | 0.6173 | 0.4025 |
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- | No log | 4.1231 | 268 | 0.4025 | 0.6184 | 0.4028 |
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- | No log | 4.1538 | 270 | 0.4206 | 0.6190 | 0.4208 |
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- | No log | 4.1846 | 272 | 0.4420 | 0.6309 | 0.4422 |
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- | No log | 4.2154 | 274 | 0.4818 | 0.6453 | 0.4820 |
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- | No log | 4.2462 | 276 | 0.4957 | 0.6506 | 0.4959 |
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- | No log | 4.2769 | 278 | 0.4752 | 0.6434 | 0.4754 |
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- | No log | 4.3077 | 280 | 0.4413 | 0.6298 | 0.4416 |
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- | No log | 4.3385 | 282 | 0.4079 | 0.6117 | 0.4082 |
192
- | No log | 4.3692 | 284 | 0.3895 | 0.6052 | 0.3898 |
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- | No log | 4.4 | 286 | 0.3731 | 0.6013 | 0.3734 |
194
- | No log | 4.4308 | 288 | 0.3693 | 0.5932 | 0.3697 |
195
- | No log | 4.4615 | 290 | 0.3701 | 0.5952 | 0.3705 |
196
- | No log | 4.4923 | 292 | 0.3759 | 0.6067 | 0.3763 |
197
- | No log | 4.5231 | 294 | 0.3872 | 0.6169 | 0.3875 |
198
- | No log | 4.5538 | 296 | 0.4009 | 0.6131 | 0.4012 |
199
- | No log | 4.5846 | 298 | 0.4136 | 0.6120 | 0.4139 |
200
- | No log | 4.6154 | 300 | 0.4345 | 0.6288 | 0.4348 |
201
- | No log | 4.6462 | 302 | 0.4442 | 0.6402 | 0.4445 |
202
- | No log | 4.6769 | 304 | 0.4404 | 0.6380 | 0.4407 |
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- | No log | 4.7077 | 306 | 0.4287 | 0.6233 | 0.4291 |
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- | No log | 4.7385 | 308 | 0.4234 | 0.6184 | 0.4237 |
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- | No log | 4.7692 | 310 | 0.4168 | 0.6205 | 0.4171 |
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- | No log | 4.8 | 312 | 0.4091 | 0.6173 | 0.4095 |
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- | No log | 4.8308 | 314 | 0.4006 | 0.6179 | 0.4009 |
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- | No log | 4.8615 | 316 | 0.3935 | 0.6189 | 0.3938 |
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- | No log | 4.8923 | 318 | 0.3890 | 0.6189 | 0.3894 |
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- | No log | 4.9231 | 320 | 0.3871 | 0.6142 | 0.3875 |
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- | No log | 4.9538 | 322 | 0.3868 | 0.6142 | 0.3872 |
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- | No log | 4.9846 | 324 | 0.3865 | 0.6205 | 0.3868 |
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  ### Framework versions
 
4
  tags:
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  - generated_from_trainer
6
  model-index:
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+ - name: bert_baseline_prompt_adherence_task3_fold3
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  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ # bert_baseline_prompt_adherence_task3_fold3
15
 
16
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3771
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+ - Qwk: 0.6625
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+ - Mse: 0.3768
21
 
22
  ## Model description
23
 
 
48
 
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
+ | No log | 0.0308 | 2 | 0.9124 | 0.1718 | 0.9125 |
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+ | No log | 0.0615 | 4 | 0.7455 | 0.0287 | 0.7453 |
53
+ | No log | 0.0923 | 6 | 0.6467 | 0.0088 | 0.6463 |
54
+ | No log | 0.1231 | 8 | 0.6672 | 0.0 | 0.6667 |
55
+ | No log | 0.1538 | 10 | 0.6616 | 0.0 | 0.6609 |
56
+ | No log | 0.1846 | 12 | 0.5837 | 0.0088 | 0.5832 |
57
+ | No log | 0.2154 | 14 | 0.5535 | 0.0262 | 0.5531 |
58
+ | No log | 0.2462 | 16 | 0.5233 | 0.0561 | 0.5229 |
59
+ | No log | 0.2769 | 18 | 0.5108 | 0.1771 | 0.5105 |
60
+ | No log | 0.3077 | 20 | 0.4573 | 0.3453 | 0.4571 |
61
+ | No log | 0.3385 | 22 | 0.5081 | 0.4864 | 0.5079 |
62
+ | No log | 0.3692 | 24 | 0.5390 | 0.5338 | 0.5389 |
63
+ | No log | 0.4 | 26 | 0.4548 | 0.6223 | 0.4548 |
64
+ | No log | 0.4308 | 28 | 0.3995 | 0.5353 | 0.3996 |
65
+ | No log | 0.4615 | 30 | 0.4074 | 0.3742 | 0.4074 |
66
+ | No log | 0.4923 | 32 | 0.3839 | 0.4608 | 0.3840 |
67
+ | No log | 0.5231 | 34 | 0.3928 | 0.6125 | 0.3927 |
68
+ | No log | 0.5538 | 36 | 0.4124 | 0.6463 | 0.4124 |
69
+ | No log | 0.5846 | 38 | 0.4050 | 0.6468 | 0.4049 |
70
+ | No log | 0.6154 | 40 | 0.4139 | 0.6486 | 0.4138 |
71
+ | No log | 0.6462 | 42 | 0.4559 | 0.6573 | 0.4557 |
72
+ | No log | 0.6769 | 44 | 0.4800 | 0.6615 | 0.4797 |
73
+ | No log | 0.7077 | 46 | 0.4081 | 0.6745 | 0.4078 |
74
+ | No log | 0.7385 | 48 | 0.3439 | 0.6113 | 0.3437 |
75
+ | No log | 0.7692 | 50 | 0.3352 | 0.5814 | 0.3350 |
76
+ | No log | 0.8 | 52 | 0.3384 | 0.6342 | 0.3382 |
77
+ | No log | 0.8308 | 54 | 0.3541 | 0.6410 | 0.3538 |
78
+ | No log | 0.8615 | 56 | 0.3615 | 0.6559 | 0.3613 |
79
+ | No log | 0.8923 | 58 | 0.3344 | 0.6134 | 0.3341 |
80
+ | No log | 0.9231 | 60 | 0.3325 | 0.4886 | 0.3322 |
81
+ | No log | 0.9538 | 62 | 0.3561 | 0.4117 | 0.3558 |
82
+ | No log | 0.9846 | 64 | 0.3367 | 0.4607 | 0.3364 |
83
+ | No log | 1.0154 | 66 | 0.3404 | 0.6022 | 0.3401 |
84
+ | No log | 1.0462 | 68 | 0.3990 | 0.6917 | 0.3988 |
85
+ | No log | 1.0769 | 70 | 0.4322 | 0.6917 | 0.4320 |
86
+ | No log | 1.1077 | 72 | 0.3778 | 0.6922 | 0.3776 |
87
+ | No log | 1.1385 | 74 | 0.3628 | 0.6898 | 0.3626 |
88
+ | No log | 1.1692 | 76 | 0.3721 | 0.6845 | 0.3720 |
89
+ | No log | 1.2 | 78 | 0.3366 | 0.6579 | 0.3364 |
90
+ | No log | 1.2308 | 80 | 0.3374 | 0.5566 | 0.3372 |
91
+ | No log | 1.2615 | 82 | 0.3337 | 0.5624 | 0.3335 |
92
+ | No log | 1.2923 | 84 | 0.3409 | 0.6597 | 0.3409 |
93
+ | No log | 1.3231 | 86 | 0.3663 | 0.6636 | 0.3662 |
94
+ | No log | 1.3538 | 88 | 0.3446 | 0.6706 | 0.3445 |
95
+ | No log | 1.3846 | 90 | 0.3212 | 0.6512 | 0.3211 |
96
+ | No log | 1.4154 | 92 | 0.3136 | 0.5933 | 0.3133 |
97
+ | No log | 1.4462 | 94 | 0.3179 | 0.6185 | 0.3177 |
98
+ | No log | 1.4769 | 96 | 0.3758 | 0.6839 | 0.3757 |
99
+ | No log | 1.5077 | 98 | 0.5241 | 0.6836 | 0.5241 |
100
+ | No log | 1.5385 | 100 | 0.5995 | 0.6664 | 0.5995 |
101
+ | No log | 1.5692 | 102 | 0.5563 | 0.6593 | 0.5562 |
102
+ | No log | 1.6 | 104 | 0.4366 | 0.6957 | 0.4364 |
103
+ | No log | 1.6308 | 106 | 0.3213 | 0.6337 | 0.3210 |
104
+ | No log | 1.6615 | 108 | 0.3290 | 0.4724 | 0.3287 |
105
+ | No log | 1.6923 | 110 | 0.3851 | 0.3892 | 0.3848 |
106
+ | No log | 1.7231 | 112 | 0.3805 | 0.3900 | 0.3803 |
107
+ | No log | 1.7538 | 114 | 0.3327 | 0.4164 | 0.3325 |
108
+ | No log | 1.7846 | 116 | 0.3158 | 0.5906 | 0.3156 |
109
+ | No log | 1.8154 | 118 | 0.3835 | 0.6869 | 0.3833 |
110
+ | No log | 1.8462 | 120 | 0.4522 | 0.6753 | 0.4521 |
111
+ | No log | 1.8769 | 122 | 0.4753 | 0.6628 | 0.4751 |
112
+ | No log | 1.9077 | 124 | 0.4371 | 0.6984 | 0.4370 |
113
+ | No log | 1.9385 | 126 | 0.3581 | 0.6847 | 0.3579 |
114
+ | No log | 1.9692 | 128 | 0.3072 | 0.6079 | 0.3069 |
115
+ | No log | 2.0 | 130 | 0.3270 | 0.5348 | 0.3268 |
116
+ | No log | 2.0308 | 132 | 0.3258 | 0.5329 | 0.3256 |
117
+ | No log | 2.0615 | 134 | 0.3089 | 0.6102 | 0.3087 |
118
+ | No log | 2.0923 | 136 | 0.3477 | 0.6750 | 0.3476 |
119
+ | No log | 2.1231 | 138 | 0.4064 | 0.7046 | 0.4062 |
120
+ | No log | 2.1538 | 140 | 0.4262 | 0.6962 | 0.4261 |
121
+ | No log | 2.1846 | 142 | 0.3908 | 0.6952 | 0.3906 |
122
+ | No log | 2.2154 | 144 | 0.3330 | 0.6623 | 0.3328 |
123
+ | No log | 2.2462 | 146 | 0.3131 | 0.6381 | 0.3128 |
124
+ | No log | 2.2769 | 148 | 0.3128 | 0.6305 | 0.3125 |
125
+ | No log | 2.3077 | 150 | 0.3293 | 0.6793 | 0.3290 |
126
+ | No log | 2.3385 | 152 | 0.3806 | 0.6937 | 0.3804 |
127
+ | No log | 2.3692 | 154 | 0.4066 | 0.6888 | 0.4063 |
128
+ | No log | 2.4 | 156 | 0.3824 | 0.6886 | 0.3822 |
129
+ | No log | 2.4308 | 158 | 0.3409 | 0.6787 | 0.3407 |
130
+ | No log | 2.4615 | 160 | 0.3277 | 0.6617 | 0.3274 |
131
+ | No log | 2.4923 | 162 | 0.3209 | 0.6513 | 0.3206 |
132
+ | No log | 2.5231 | 164 | 0.3391 | 0.6721 | 0.3389 |
133
+ | No log | 2.5538 | 166 | 0.3385 | 0.6658 | 0.3383 |
134
+ | No log | 2.5846 | 168 | 0.3265 | 0.6456 | 0.3262 |
135
+ | No log | 2.6154 | 170 | 0.3467 | 0.6676 | 0.3465 |
136
+ | No log | 2.6462 | 172 | 0.3525 | 0.6630 | 0.3523 |
137
+ | No log | 2.6769 | 174 | 0.3663 | 0.6788 | 0.3661 |
138
+ | No log | 2.7077 | 176 | 0.3618 | 0.6531 | 0.3616 |
139
+ | No log | 2.7385 | 178 | 0.3459 | 0.6490 | 0.3456 |
140
+ | No log | 2.7692 | 180 | 0.3412 | 0.6499 | 0.3410 |
141
+ | No log | 2.8 | 182 | 0.3426 | 0.6523 | 0.3423 |
142
+ | No log | 2.8308 | 184 | 0.3582 | 0.6617 | 0.3579 |
143
+ | No log | 2.8615 | 186 | 0.3813 | 0.6792 | 0.3811 |
144
+ | No log | 2.8923 | 188 | 0.3595 | 0.6692 | 0.3593 |
145
+ | No log | 2.9231 | 190 | 0.3422 | 0.6504 | 0.3420 |
146
+ | No log | 2.9538 | 192 | 0.3372 | 0.6452 | 0.3369 |
147
+ | No log | 2.9846 | 194 | 0.3354 | 0.6488 | 0.3352 |
148
+ | No log | 3.0154 | 196 | 0.3502 | 0.6656 | 0.3500 |
149
+ | No log | 3.0462 | 198 | 0.3952 | 0.6955 | 0.3950 |
150
+ | No log | 3.0769 | 200 | 0.4005 | 0.6925 | 0.4002 |
151
+ | No log | 3.1077 | 202 | 0.3568 | 0.6638 | 0.3565 |
152
+ | No log | 3.1385 | 204 | 0.3335 | 0.6570 | 0.3332 |
153
+ | No log | 3.1692 | 206 | 0.3357 | 0.6589 | 0.3354 |
154
+ | No log | 3.2 | 208 | 0.3498 | 0.6543 | 0.3495 |
155
+ | No log | 3.2308 | 210 | 0.3520 | 0.6571 | 0.3517 |
156
+ | No log | 3.2615 | 212 | 0.3458 | 0.6648 | 0.3455 |
157
+ | No log | 3.2923 | 214 | 0.3566 | 0.6585 | 0.3563 |
158
+ | No log | 3.3231 | 216 | 0.3721 | 0.6637 | 0.3718 |
159
+ | No log | 3.3538 | 218 | 0.3803 | 0.6696 | 0.3800 |
160
+ | No log | 3.3846 | 220 | 0.4057 | 0.6813 | 0.4054 |
161
+ | No log | 3.4154 | 222 | 0.3797 | 0.6547 | 0.3794 |
162
+ | No log | 3.4462 | 224 | 0.3430 | 0.6367 | 0.3426 |
163
+ | No log | 3.4769 | 226 | 0.3384 | 0.6270 | 0.3380 |
164
+ | No log | 3.5077 | 228 | 0.3518 | 0.6437 | 0.3515 |
165
+ | No log | 3.5385 | 230 | 0.4057 | 0.6652 | 0.4055 |
166
+ | No log | 3.5692 | 232 | 0.4604 | 0.6894 | 0.4602 |
167
+ | No log | 3.6 | 234 | 0.4501 | 0.6785 | 0.4500 |
168
+ | No log | 3.6308 | 236 | 0.3986 | 0.6668 | 0.3984 |
169
+ | No log | 3.6615 | 238 | 0.3424 | 0.6415 | 0.3421 |
170
+ | No log | 3.6923 | 240 | 0.3285 | 0.6150 | 0.3282 |
171
+ | No log | 3.7231 | 242 | 0.3286 | 0.6224 | 0.3284 |
172
+ | No log | 3.7538 | 244 | 0.3454 | 0.6525 | 0.3452 |
173
+ | No log | 3.7846 | 246 | 0.3931 | 0.6735 | 0.3929 |
174
+ | No log | 3.8154 | 248 | 0.4434 | 0.6993 | 0.4432 |
175
+ | No log | 3.8462 | 250 | 0.4605 | 0.6971 | 0.4603 |
176
+ | No log | 3.8769 | 252 | 0.4347 | 0.7034 | 0.4345 |
177
+ | No log | 3.9077 | 254 | 0.3881 | 0.6719 | 0.3878 |
178
+ | No log | 3.9385 | 256 | 0.3610 | 0.6595 | 0.3607 |
179
+ | No log | 3.9692 | 258 | 0.3383 | 0.6454 | 0.3379 |
180
+ | No log | 4.0 | 260 | 0.3358 | 0.6465 | 0.3355 |
181
+ | No log | 4.0308 | 262 | 0.3408 | 0.6436 | 0.3404 |
182
+ | No log | 4.0615 | 264 | 0.3612 | 0.6574 | 0.3608 |
183
+ | No log | 4.0923 | 266 | 0.3852 | 0.6775 | 0.3848 |
184
+ | No log | 4.1231 | 268 | 0.4027 | 0.6797 | 0.4024 |
185
+ | No log | 4.1538 | 270 | 0.4135 | 0.6806 | 0.4132 |
186
+ | No log | 4.1846 | 272 | 0.4154 | 0.6832 | 0.4150 |
187
+ | No log | 4.2154 | 274 | 0.3979 | 0.6772 | 0.3975 |
188
+ | No log | 4.2462 | 276 | 0.3891 | 0.6731 | 0.3886 |
189
+ | No log | 4.2769 | 278 | 0.3900 | 0.6731 | 0.3896 |
190
+ | No log | 4.3077 | 280 | 0.3955 | 0.6793 | 0.3951 |
191
+ | No log | 4.3385 | 282 | 0.3922 | 0.6732 | 0.3917 |
192
+ | No log | 4.3692 | 284 | 0.3830 | 0.6616 | 0.3825 |
193
+ | No log | 4.4 | 286 | 0.3763 | 0.6596 | 0.3759 |
194
+ | No log | 4.4308 | 288 | 0.3708 | 0.6541 | 0.3704 |
195
+ | No log | 4.4615 | 290 | 0.3686 | 0.6535 | 0.3682 |
196
+ | No log | 4.4923 | 292 | 0.3660 | 0.6574 | 0.3656 |
197
+ | No log | 4.5231 | 294 | 0.3766 | 0.6577 | 0.3762 |
198
+ | No log | 4.5538 | 296 | 0.3833 | 0.6686 | 0.3829 |
199
+ | No log | 4.5846 | 298 | 0.3868 | 0.6721 | 0.3865 |
200
+ | No log | 4.6154 | 300 | 0.3959 | 0.6784 | 0.3955 |
201
+ | No log | 4.6462 | 302 | 0.3951 | 0.6784 | 0.3947 |
202
+ | No log | 4.6769 | 304 | 0.3995 | 0.6743 | 0.3991 |
203
+ | No log | 4.7077 | 306 | 0.3976 | 0.6793 | 0.3972 |
204
+ | No log | 4.7385 | 308 | 0.3961 | 0.6772 | 0.3957 |
205
+ | No log | 4.7692 | 310 | 0.3891 | 0.6722 | 0.3887 |
206
+ | No log | 4.8 | 312 | 0.3856 | 0.6680 | 0.3853 |
207
+ | No log | 4.8308 | 314 | 0.3834 | 0.6680 | 0.3831 |
208
+ | No log | 4.8615 | 316 | 0.3814 | 0.6680 | 0.3810 |
209
+ | No log | 4.8923 | 318 | 0.3799 | 0.6646 | 0.3795 |
210
+ | No log | 4.9231 | 320 | 0.3793 | 0.6646 | 0.3789 |
211
+ | No log | 4.9538 | 322 | 0.3780 | 0.6625 | 0.3777 |
212
+ | No log | 4.9846 | 324 | 0.3771 | 0.6625 | 0.3768 |
213
 
214
 
215
  ### Framework versions