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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: 0.3675
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- - Qwk: 0.6721
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- - Mse: 0.3673
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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 | 0.9258 | 0.0720 | 0.9259 |
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- | No log | 0.0615 | 4 | 0.7457 | 0.0 | 0.7454 |
53
- | No log | 0.0923 | 6 | 0.6895 | 0.0 | 0.6889 |
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- | No log | 0.1231 | 8 | 0.7119 | 0.0 | 0.7111 |
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- | No log | 0.1538 | 10 | 0.7044 | 0.0 | 0.7036 |
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- | No log | 0.1846 | 12 | 0.6409 | 0.0 | 0.6403 |
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- | No log | 0.2154 | 14 | 0.6051 | 0.0 | 0.6045 |
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- | No log | 0.2462 | 16 | 0.5999 | 0.0 | 0.5994 |
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- | No log | 0.2769 | 18 | 0.5984 | 0.0 | 0.5978 |
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- | No log | 0.3077 | 20 | 0.5739 | 0.0 | 0.5733 |
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- | No log | 0.3385 | 22 | 0.5170 | 0.0088 | 0.5165 |
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- | No log | 0.3692 | 24 | 0.4902 | 0.1599 | 0.4898 |
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- | No log | 0.4 | 26 | 0.4863 | 0.4700 | 0.4860 |
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- | No log | 0.4308 | 28 | 0.4477 | 0.5022 | 0.4476 |
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- | No log | 0.4615 | 30 | 0.4374 | 0.5939 | 0.4375 |
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- | No log | 0.4923 | 32 | 0.4172 | 0.5317 | 0.4174 |
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- | No log | 0.5231 | 34 | 0.4537 | 0.4158 | 0.4539 |
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- | No log | 0.5538 | 36 | 0.5930 | 0.2942 | 0.5930 |
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- | No log | 0.5846 | 38 | 0.5653 | 0.3160 | 0.5653 |
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- | No log | 0.6154 | 40 | 0.4553 | 0.4306 | 0.4555 |
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- | No log | 0.6462 | 42 | 0.4686 | 0.4973 | 0.4688 |
72
- | No log | 0.6769 | 44 | 0.4960 | 0.5872 | 0.4961 |
73
- | No log | 0.7077 | 46 | 0.4903 | 0.6299 | 0.4904 |
74
- | No log | 0.7385 | 48 | 0.4814 | 0.6489 | 0.4813 |
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- | No log | 0.7692 | 50 | 0.3928 | 0.6107 | 0.3927 |
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- | No log | 0.8 | 52 | 0.3770 | 0.6041 | 0.3769 |
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- | No log | 0.8308 | 54 | 0.4179 | 0.6580 | 0.4178 |
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- | No log | 0.8615 | 56 | 0.5136 | 0.6531 | 0.5135 |
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- | No log | 0.8923 | 58 | 0.5321 | 0.6648 | 0.5320 |
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- | No log | 0.9231 | 60 | 0.4586 | 0.6580 | 0.4584 |
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- | No log | 0.9538 | 62 | 0.4075 | 0.6700 | 0.4074 |
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- | No log | 0.9846 | 64 | 0.3998 | 0.6755 | 0.3996 |
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- | No log | 1.0154 | 66 | 0.3726 | 0.6572 | 0.3724 |
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- | No log | 1.0462 | 68 | 0.3925 | 0.6607 | 0.3923 |
85
- | No log | 1.0769 | 70 | 0.3873 | 0.6546 | 0.3871 |
86
- | No log | 1.1077 | 72 | 0.4220 | 0.6774 | 0.4218 |
87
- | No log | 1.1385 | 74 | 0.4552 | 0.6844 | 0.4551 |
88
- | No log | 1.1692 | 76 | 0.4136 | 0.6768 | 0.4135 |
89
- | No log | 1.2 | 78 | 0.3558 | 0.6414 | 0.3557 |
90
- | No log | 1.2308 | 80 | 0.3520 | 0.6363 | 0.3519 |
91
- | No log | 1.2615 | 82 | 0.3823 | 0.6691 | 0.3822 |
92
- | No log | 1.2923 | 84 | 0.4084 | 0.6672 | 0.4083 |
93
- | No log | 1.3231 | 86 | 0.4370 | 0.6889 | 0.4369 |
94
- | No log | 1.3538 | 88 | 0.4064 | 0.6676 | 0.4063 |
95
- | No log | 1.3846 | 90 | 0.3591 | 0.6570 | 0.3589 |
96
- | No log | 1.4154 | 92 | 0.3305 | 0.5991 | 0.3304 |
97
- | No log | 1.4462 | 94 | 0.3279 | 0.5284 | 0.3278 |
98
- | No log | 1.4769 | 96 | 0.3383 | 0.6478 | 0.3382 |
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- | No log | 1.5077 | 98 | 0.3854 | 0.6701 | 0.3853 |
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- | No log | 1.5385 | 100 | 0.4797 | 0.6850 | 0.4797 |
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- | No log | 1.5692 | 102 | 0.4633 | 0.6909 | 0.4633 |
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- | No log | 1.6 | 104 | 0.3708 | 0.6739 | 0.3707 |
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- | No log | 1.6308 | 106 | 0.3212 | 0.5450 | 0.3211 |
104
- | No log | 1.6615 | 108 | 0.3225 | 0.5315 | 0.3224 |
105
- | No log | 1.6923 | 110 | 0.3386 | 0.6214 | 0.3385 |
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- | No log | 1.7231 | 112 | 0.3916 | 0.6701 | 0.3916 |
107
- | No log | 1.7538 | 114 | 0.4768 | 0.6773 | 0.4768 |
108
- | No log | 1.7846 | 116 | 0.4387 | 0.6697 | 0.4388 |
109
- | No log | 1.8154 | 118 | 0.3773 | 0.6627 | 0.3773 |
110
- | No log | 1.8462 | 120 | 0.3661 | 0.6635 | 0.3661 |
111
- | No log | 1.8769 | 122 | 0.3897 | 0.6690 | 0.3897 |
112
- | No log | 1.9077 | 124 | 0.4027 | 0.6671 | 0.4026 |
113
- | No log | 1.9385 | 126 | 0.3709 | 0.6768 | 0.3707 |
114
- | No log | 1.9692 | 128 | 0.3365 | 0.5919 | 0.3364 |
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- | No log | 2.0 | 130 | 0.3325 | 0.5673 | 0.3323 |
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- | No log | 2.0308 | 132 | 0.3381 | 0.6250 | 0.3379 |
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- | No log | 2.0615 | 134 | 0.3789 | 0.6834 | 0.3787 |
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- | No log | 2.0923 | 136 | 0.3974 | 0.6824 | 0.3972 |
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- | No log | 2.1231 | 138 | 0.3930 | 0.6945 | 0.3929 |
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- | No log | 2.1538 | 140 | 0.3502 | 0.6881 | 0.3500 |
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- | No log | 2.1846 | 142 | 0.3353 | 0.5822 | 0.3350 |
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- | No log | 2.2154 | 144 | 0.3479 | 0.5595 | 0.3476 |
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- | No log | 2.2462 | 146 | 0.3405 | 0.6078 | 0.3402 |
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- | No log | 2.2769 | 148 | 0.4023 | 0.6887 | 0.4021 |
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- | No log | 2.3077 | 150 | 0.5183 | 0.6849 | 0.5182 |
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- | No log | 2.3385 | 152 | 0.5548 | 0.6704 | 0.5548 |
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- | No log | 2.3692 | 154 | 0.4854 | 0.6956 | 0.4854 |
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- | No log | 2.4 | 156 | 0.3881 | 0.6928 | 0.3880 |
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- | No log | 2.4308 | 158 | 0.3439 | 0.6809 | 0.3437 |
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- | No log | 2.4615 | 160 | 0.3473 | 0.6831 | 0.3471 |
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- | No log | 2.4923 | 162 | 0.3449 | 0.6831 | 0.3447 |
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- | No log | 2.5231 | 164 | 0.3544 | 0.6898 | 0.3542 |
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- | No log | 2.5538 | 166 | 0.3833 | 0.6986 | 0.3831 |
134
- | No log | 2.5846 | 168 | 0.3695 | 0.6980 | 0.3693 |
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- | No log | 2.6154 | 170 | 0.3538 | 0.6825 | 0.3536 |
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- | No log | 2.6462 | 172 | 0.3324 | 0.6521 | 0.3322 |
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- | No log | 2.6769 | 174 | 0.3331 | 0.6459 | 0.3329 |
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- | No log | 2.7077 | 176 | 0.3507 | 0.6950 | 0.3505 |
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- | No log | 2.7385 | 178 | 0.3741 | 0.6996 | 0.3738 |
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- | No log | 2.7692 | 180 | 0.3587 | 0.6923 | 0.3585 |
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- | No log | 2.8 | 182 | 0.3383 | 0.6760 | 0.3381 |
142
- | No log | 2.8308 | 184 | 0.3495 | 0.6835 | 0.3493 |
143
- | No log | 2.8615 | 186 | 0.3852 | 0.6918 | 0.3850 |
144
- | No log | 2.8923 | 188 | 0.3868 | 0.6943 | 0.3866 |
145
- | No log | 2.9231 | 190 | 0.3677 | 0.6907 | 0.3675 |
146
- | No log | 2.9538 | 192 | 0.3518 | 0.6767 | 0.3516 |
147
- | No log | 2.9846 | 194 | 0.3357 | 0.6513 | 0.3355 |
148
- | No log | 3.0154 | 196 | 0.3334 | 0.6454 | 0.3332 |
149
- | No log | 3.0462 | 198 | 0.3578 | 0.6797 | 0.3575 |
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- | No log | 3.0769 | 200 | 0.3948 | 0.6883 | 0.3946 |
151
- | No log | 3.1077 | 202 | 0.4432 | 0.7045 | 0.4429 |
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- | No log | 3.1385 | 204 | 0.4269 | 0.6992 | 0.4266 |
153
- | No log | 3.1692 | 206 | 0.3902 | 0.6821 | 0.3900 |
154
- | No log | 3.2 | 208 | 0.3566 | 0.6888 | 0.3563 |
155
- | No log | 3.2308 | 210 | 0.3522 | 0.6801 | 0.3520 |
156
- | No log | 3.2615 | 212 | 0.3809 | 0.6844 | 0.3807 |
157
- | No log | 3.2923 | 214 | 0.3997 | 0.6809 | 0.3996 |
158
- | No log | 3.3231 | 216 | 0.3971 | 0.6845 | 0.3969 |
159
- | No log | 3.3538 | 218 | 0.4034 | 0.6868 | 0.4032 |
160
- | No log | 3.3846 | 220 | 0.3747 | 0.6779 | 0.3745 |
161
- | No log | 3.4154 | 222 | 0.3650 | 0.6754 | 0.3649 |
162
- | No log | 3.4462 | 224 | 0.3490 | 0.6608 | 0.3489 |
163
- | No log | 3.4769 | 226 | 0.3383 | 0.6528 | 0.3382 |
164
- | No log | 3.5077 | 228 | 0.3335 | 0.6603 | 0.3334 |
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- | No log | 3.5385 | 230 | 0.3498 | 0.6744 | 0.3497 |
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- | No log | 3.5692 | 232 | 0.3883 | 0.6879 | 0.3882 |
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- | No log | 3.6 | 234 | 0.3922 | 0.6898 | 0.3920 |
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- | No log | 3.6308 | 236 | 0.3788 | 0.6837 | 0.3787 |
169
- | No log | 3.6615 | 238 | 0.3646 | 0.6837 | 0.3644 |
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- | No log | 3.6923 | 240 | 0.3619 | 0.6837 | 0.3618 |
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- | No log | 3.7231 | 242 | 0.3598 | 0.6829 | 0.3597 |
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- | No log | 3.7538 | 244 | 0.3608 | 0.6768 | 0.3606 |
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- | No log | 3.7846 | 246 | 0.3696 | 0.6847 | 0.3694 |
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- | No log | 3.8154 | 248 | 0.3708 | 0.6805 | 0.3706 |
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- | No log | 3.8462 | 250 | 0.3688 | 0.6833 | 0.3686 |
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- | No log | 3.8769 | 252 | 0.3661 | 0.6739 | 0.3659 |
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- | No log | 3.9077 | 254 | 0.3793 | 0.6901 | 0.3791 |
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- | No log | 3.9385 | 256 | 0.3807 | 0.6815 | 0.3805 |
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- | No log | 3.9692 | 258 | 0.3816 | 0.6756 | 0.3813 |
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- | No log | 4.0 | 260 | 0.3825 | 0.6756 | 0.3823 |
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- | No log | 4.0308 | 262 | 0.3952 | 0.6844 | 0.3949 |
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- | No log | 4.0615 | 264 | 0.3911 | 0.6814 | 0.3908 |
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- | No log | 4.0923 | 266 | 0.3817 | 0.6764 | 0.3814 |
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- | No log | 4.1231 | 268 | 0.3816 | 0.6745 | 0.3814 |
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- | No log | 4.1538 | 270 | 0.3988 | 0.6928 | 0.3986 |
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- | No log | 4.1846 | 272 | 0.4199 | 0.7018 | 0.4197 |
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- | No log | 4.2154 | 274 | 0.4594 | 0.6975 | 0.4592 |
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- | No log | 4.2462 | 276 | 0.4738 | 0.7068 | 0.4736 |
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- | No log | 4.2769 | 278 | 0.4539 | 0.6951 | 0.4536 |
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- | No log | 4.3077 | 280 | 0.4203 | 0.6990 | 0.4201 |
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- | No log | 4.3385 | 282 | 0.3868 | 0.6800 | 0.3866 |
192
- | No log | 4.3692 | 284 | 0.3682 | 0.6725 | 0.3680 |
193
- | No log | 4.4 | 286 | 0.3518 | 0.6431 | 0.3516 |
194
- | No log | 4.4308 | 288 | 0.3480 | 0.6392 | 0.3479 |
195
- | No log | 4.4615 | 290 | 0.3490 | 0.6410 | 0.3488 |
196
- | No log | 4.4923 | 292 | 0.3548 | 0.6683 | 0.3546 |
197
- | No log | 4.5231 | 294 | 0.3662 | 0.6751 | 0.3660 |
198
- | No log | 4.5538 | 296 | 0.3804 | 0.6778 | 0.3802 |
199
- | No log | 4.5846 | 298 | 0.3937 | 0.6887 | 0.3935 |
200
- | No log | 4.6154 | 300 | 0.4153 | 0.6981 | 0.4151 |
201
- | No log | 4.6462 | 302 | 0.4257 | 0.7091 | 0.4255 |
202
- | No log | 4.6769 | 304 | 0.4220 | 0.7091 | 0.4218 |
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- | No log | 4.7077 | 306 | 0.4101 | 0.6998 | 0.4099 |
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- | No log | 4.7385 | 308 | 0.4047 | 0.6935 | 0.4045 |
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- | No log | 4.7692 | 310 | 0.3979 | 0.6985 | 0.3977 |
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- | No log | 4.8 | 312 | 0.3901 | 0.6873 | 0.3899 |
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- | No log | 4.8308 | 314 | 0.3815 | 0.6841 | 0.3813 |
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- | No log | 4.8615 | 316 | 0.3744 | 0.6792 | 0.3742 |
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- | No log | 4.8923 | 318 | 0.3700 | 0.6757 | 0.3698 |
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- | No log | 4.9231 | 320 | 0.3681 | 0.6721 | 0.3679 |
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- | No log | 4.9538 | 322 | 0.3679 | 0.6721 | 0.3677 |
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- | No log | 4.9846 | 324 | 0.3675 | 0.6721 | 0.3673 |
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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
8
  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.
17
  It achieves the following results on the evaluation set:
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+ - Loss: 0.3682
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+ - Qwk: 0.6649
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+ - Mse: 0.3683
21
 
22
  ## Model description
23
 
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
+ | No log | 0.0308 | 2 | 0.9704 | 0.1527 | 0.9706 |
52
+ | No log | 0.0615 | 4 | 0.7768 | 0.0030 | 0.7766 |
53
+ | No log | 0.0923 | 6 | 0.6583 | 0.0030 | 0.6579 |
54
+ | No log | 0.1231 | 8 | 0.6525 | 0.0 | 0.6519 |
55
+ | No log | 0.1538 | 10 | 0.6474 | 0.0 | 0.6468 |
56
+ | No log | 0.1846 | 12 | 0.5760 | 0.0 | 0.5753 |
57
+ | No log | 0.2154 | 14 | 0.5488 | 0.0 | 0.5482 |
58
+ | No log | 0.2462 | 16 | 0.5211 | 0.0030 | 0.5205 |
59
+ | No log | 0.2769 | 18 | 0.5221 | 0.1224 | 0.5216 |
60
+ | No log | 0.3077 | 20 | 0.4718 | 0.2977 | 0.4713 |
61
+ | No log | 0.3385 | 22 | 0.5211 | 0.3353 | 0.5209 |
62
+ | No log | 0.3692 | 24 | 0.5460 | 0.4382 | 0.5459 |
63
+ | No log | 0.4 | 26 | 0.4589 | 0.5832 | 0.4588 |
64
+ | No log | 0.4308 | 28 | 0.4140 | 0.4892 | 0.4138 |
65
+ | No log | 0.4615 | 30 | 0.4372 | 0.3502 | 0.4370 |
66
+ | No log | 0.4923 | 32 | 0.4114 | 0.4434 | 0.4112 |
67
+ | No log | 0.5231 | 34 | 0.4055 | 0.5653 | 0.4054 |
68
+ | No log | 0.5538 | 36 | 0.4254 | 0.5831 | 0.4253 |
69
+ | No log | 0.5846 | 38 | 0.4187 | 0.5904 | 0.4186 |
70
+ | No log | 0.6154 | 40 | 0.4286 | 0.5968 | 0.4286 |
71
+ | No log | 0.6462 | 42 | 0.4741 | 0.5974 | 0.4740 |
72
+ | No log | 0.6769 | 44 | 0.5024 | 0.5990 | 0.5023 |
73
+ | No log | 0.7077 | 46 | 0.4280 | 0.5961 | 0.4279 |
74
+ | No log | 0.7385 | 48 | 0.3671 | 0.5654 | 0.3670 |
75
+ | No log | 0.7692 | 50 | 0.3568 | 0.5513 | 0.3567 |
76
+ | No log | 0.8 | 52 | 0.3575 | 0.5763 | 0.3574 |
77
+ | No log | 0.8308 | 54 | 0.3674 | 0.5885 | 0.3672 |
78
+ | No log | 0.8615 | 56 | 0.3698 | 0.6033 | 0.3696 |
79
+ | No log | 0.8923 | 58 | 0.3401 | 0.5860 | 0.3400 |
80
+ | No log | 0.9231 | 60 | 0.3406 | 0.4940 | 0.3406 |
81
+ | No log | 0.9538 | 62 | 0.3647 | 0.4245 | 0.3648 |
82
+ | No log | 0.9846 | 64 | 0.3429 | 0.4601 | 0.3429 |
83
+ | No log | 1.0154 | 66 | 0.3420 | 0.5709 | 0.3418 |
84
+ | No log | 1.0462 | 68 | 0.3973 | 0.6227 | 0.3971 |
85
+ | No log | 1.0769 | 70 | 0.4293 | 0.6347 | 0.4291 |
86
+ | No log | 1.1077 | 72 | 0.3740 | 0.6445 | 0.3739 |
87
+ | No log | 1.1385 | 74 | 0.3573 | 0.6465 | 0.3573 |
88
+ | No log | 1.1692 | 76 | 0.3644 | 0.6552 | 0.3645 |
89
+ | No log | 1.2 | 78 | 0.3301 | 0.6413 | 0.3302 |
90
+ | No log | 1.2308 | 80 | 0.3362 | 0.5424 | 0.3365 |
91
+ | No log | 1.2615 | 82 | 0.3336 | 0.5500 | 0.3339 |
92
+ | No log | 1.2923 | 84 | 0.3365 | 0.6388 | 0.3367 |
93
+ | No log | 1.3231 | 86 | 0.3591 | 0.6419 | 0.3591 |
94
+ | No log | 1.3538 | 88 | 0.3390 | 0.6395 | 0.3390 |
95
+ | No log | 1.3846 | 90 | 0.3174 | 0.6094 | 0.3175 |
96
+ | No log | 1.4154 | 92 | 0.3108 | 0.5792 | 0.3110 |
97
+ | No log | 1.4462 | 94 | 0.3141 | 0.5844 | 0.3143 |
98
+ | No log | 1.4769 | 96 | 0.3683 | 0.6641 | 0.3684 |
99
+ | No log | 1.5077 | 98 | 0.5174 | 0.6669 | 0.5173 |
100
+ | No log | 1.5385 | 100 | 0.5952 | 0.6411 | 0.5949 |
101
+ | No log | 1.5692 | 102 | 0.5526 | 0.6459 | 0.5523 |
102
+ | No log | 1.6 | 104 | 0.4328 | 0.6658 | 0.4326 |
103
+ | No log | 1.6308 | 106 | 0.3247 | 0.5669 | 0.3246 |
104
+ | No log | 1.6615 | 108 | 0.3416 | 0.4809 | 0.3417 |
105
+ | No log | 1.6923 | 110 | 0.4024 | 0.3868 | 0.4026 |
106
+ | No log | 1.7231 | 112 | 0.3994 | 0.3903 | 0.3996 |
107
+ | No log | 1.7538 | 114 | 0.3513 | 0.4517 | 0.3514 |
108
+ | No log | 1.7846 | 116 | 0.3284 | 0.5399 | 0.3283 |
109
+ | No log | 1.8154 | 118 | 0.3860 | 0.6061 | 0.3857 |
110
+ | No log | 1.8462 | 120 | 0.4524 | 0.6347 | 0.4520 |
111
+ | No log | 1.8769 | 122 | 0.4737 | 0.6418 | 0.4733 |
112
+ | No log | 1.9077 | 124 | 0.4349 | 0.6531 | 0.4347 |
113
+ | No log | 1.9385 | 126 | 0.3578 | 0.6321 | 0.3577 |
114
+ | No log | 1.9692 | 128 | 0.3144 | 0.5710 | 0.3145 |
115
+ | No log | 2.0 | 130 | 0.3352 | 0.5174 | 0.3354 |
116
+ | No log | 2.0308 | 132 | 0.3318 | 0.5263 | 0.3319 |
117
+ | No log | 2.0615 | 134 | 0.3114 | 0.5589 | 0.3115 |
118
+ | No log | 2.0923 | 136 | 0.3457 | 0.6503 | 0.3457 |
119
+ | No log | 2.1231 | 138 | 0.4004 | 0.6687 | 0.4003 |
120
+ | No log | 2.1538 | 140 | 0.4211 | 0.6708 | 0.4210 |
121
+ | No log | 2.1846 | 142 | 0.3876 | 0.6783 | 0.3876 |
122
+ | No log | 2.2154 | 144 | 0.3318 | 0.6423 | 0.3319 |
123
+ | No log | 2.2462 | 146 | 0.3116 | 0.6060 | 0.3117 |
124
+ | No log | 2.2769 | 148 | 0.3119 | 0.6044 | 0.3120 |
125
+ | No log | 2.3077 | 150 | 0.3296 | 0.6391 | 0.3296 |
126
+ | No log | 2.3385 | 152 | 0.3808 | 0.6673 | 0.3807 |
127
+ | No log | 2.3692 | 154 | 0.4074 | 0.6685 | 0.4073 |
128
+ | No log | 2.4 | 156 | 0.3836 | 0.6799 | 0.3836 |
129
+ | No log | 2.4308 | 158 | 0.3414 | 0.6455 | 0.3415 |
130
+ | No log | 2.4615 | 160 | 0.3275 | 0.6353 | 0.3276 |
131
+ | No log | 2.4923 | 162 | 0.3206 | 0.6334 | 0.3208 |
132
+ | No log | 2.5231 | 164 | 0.3387 | 0.6386 | 0.3388 |
133
+ | No log | 2.5538 | 166 | 0.3356 | 0.6361 | 0.3358 |
134
+ | No log | 2.5846 | 168 | 0.3200 | 0.6318 | 0.3201 |
135
+ | No log | 2.6154 | 170 | 0.3394 | 0.6492 | 0.3395 |
136
+ | No log | 2.6462 | 172 | 0.3440 | 0.6446 | 0.3441 |
137
+ | No log | 2.6769 | 174 | 0.3574 | 0.6646 | 0.3575 |
138
+ | No log | 2.7077 | 176 | 0.3516 | 0.6513 | 0.3518 |
139
+ | No log | 2.7385 | 178 | 0.3331 | 0.6395 | 0.3333 |
140
+ | No log | 2.7692 | 180 | 0.3285 | 0.6335 | 0.3287 |
141
+ | No log | 2.8 | 182 | 0.3305 | 0.6406 | 0.3306 |
142
+ | No log | 2.8308 | 184 | 0.3475 | 0.6670 | 0.3476 |
143
+ | No log | 2.8615 | 186 | 0.3713 | 0.6744 | 0.3714 |
144
+ | No log | 2.8923 | 188 | 0.3504 | 0.6711 | 0.3505 |
145
+ | No log | 2.9231 | 190 | 0.3354 | 0.6494 | 0.3356 |
146
+ | No log | 2.9538 | 192 | 0.3317 | 0.6470 | 0.3318 |
147
+ | No log | 2.9846 | 194 | 0.3312 | 0.6473 | 0.3313 |
148
+ | No log | 3.0154 | 196 | 0.3466 | 0.6614 | 0.3466 |
149
+ | No log | 3.0462 | 198 | 0.3924 | 0.6618 | 0.3924 |
150
+ | No log | 3.0769 | 200 | 0.3980 | 0.6617 | 0.3980 |
151
+ | No log | 3.1077 | 202 | 0.3549 | 0.6585 | 0.3550 |
152
+ | No log | 3.1385 | 204 | 0.3308 | 0.6378 | 0.3310 |
153
+ | No log | 3.1692 | 206 | 0.3324 | 0.6327 | 0.3325 |
154
+ | No log | 3.2 | 208 | 0.3469 | 0.6543 | 0.3470 |
155
+ | No log | 3.2308 | 210 | 0.3492 | 0.6529 | 0.3493 |
156
+ | No log | 3.2615 | 212 | 0.3417 | 0.6463 | 0.3419 |
157
+ | No log | 3.2923 | 214 | 0.3512 | 0.6549 | 0.3514 |
158
+ | No log | 3.3231 | 216 | 0.3665 | 0.6635 | 0.3666 |
159
+ | No log | 3.3538 | 218 | 0.3742 | 0.6512 | 0.3744 |
160
+ | No log | 3.3846 | 220 | 0.3989 | 0.6635 | 0.3990 |
161
+ | No log | 3.4154 | 222 | 0.3704 | 0.6662 | 0.3706 |
162
+ | No log | 3.4462 | 224 | 0.3304 | 0.6109 | 0.3306 |
163
+ | No log | 3.4769 | 226 | 0.3248 | 0.6050 | 0.3250 |
164
+ | No log | 3.5077 | 228 | 0.3387 | 0.6185 | 0.3388 |
165
+ | No log | 3.5385 | 230 | 0.3950 | 0.6650 | 0.3951 |
166
+ | No log | 3.5692 | 232 | 0.4510 | 0.6830 | 0.4511 |
167
+ | No log | 3.6 | 234 | 0.4403 | 0.6808 | 0.4404 |
168
+ | No log | 3.6308 | 236 | 0.3881 | 0.6721 | 0.3882 |
169
+ | No log | 3.6615 | 238 | 0.3315 | 0.6249 | 0.3316 |
170
+ | No log | 3.6923 | 240 | 0.3178 | 0.5959 | 0.3180 |
171
+ | No log | 3.7231 | 242 | 0.3185 | 0.6095 | 0.3186 |
172
+ | No log | 3.7538 | 244 | 0.3363 | 0.6398 | 0.3365 |
173
+ | No log | 3.7846 | 246 | 0.3855 | 0.6636 | 0.3856 |
174
+ | No log | 3.8154 | 248 | 0.4370 | 0.6752 | 0.4370 |
175
+ | No log | 3.8462 | 250 | 0.4539 | 0.6869 | 0.4539 |
176
+ | No log | 3.8769 | 252 | 0.4273 | 0.6687 | 0.4273 |
177
+ | No log | 3.9077 | 254 | 0.3789 | 0.6432 | 0.3790 |
178
+ | No log | 3.9385 | 256 | 0.3507 | 0.6588 | 0.3507 |
179
+ | No log | 3.9692 | 258 | 0.3276 | 0.6283 | 0.3277 |
180
+ | No log | 4.0 | 260 | 0.3250 | 0.6304 | 0.3251 |
181
+ | No log | 4.0308 | 262 | 0.3296 | 0.6298 | 0.3297 |
182
+ | No log | 4.0615 | 264 | 0.3499 | 0.6528 | 0.3500 |
183
+ | No log | 4.0923 | 266 | 0.3734 | 0.6673 | 0.3735 |
184
+ | No log | 4.1231 | 268 | 0.3897 | 0.6728 | 0.3899 |
185
+ | No log | 4.1538 | 270 | 0.4000 | 0.6903 | 0.4002 |
186
+ | No log | 4.1846 | 272 | 0.4014 | 0.6848 | 0.4016 |
187
+ | No log | 4.2154 | 274 | 0.3830 | 0.6767 | 0.3832 |
188
+ | No log | 4.2462 | 276 | 0.3742 | 0.6722 | 0.3745 |
189
+ | No log | 4.2769 | 278 | 0.3759 | 0.6728 | 0.3762 |
190
+ | No log | 4.3077 | 280 | 0.3826 | 0.6687 | 0.3828 |
191
+ | No log | 4.3385 | 282 | 0.3797 | 0.6674 | 0.3799 |
192
+ | No log | 4.3692 | 284 | 0.3708 | 0.6579 | 0.3710 |
193
+ | No log | 4.4 | 286 | 0.3647 | 0.6500 | 0.3649 |
194
+ | No log | 4.4308 | 288 | 0.3601 | 0.6480 | 0.3603 |
195
+ | No log | 4.4615 | 290 | 0.3588 | 0.6480 | 0.3590 |
196
+ | No log | 4.4923 | 292 | 0.3570 | 0.6480 | 0.3572 |
197
+ | No log | 4.5231 | 294 | 0.3688 | 0.6586 | 0.3690 |
198
+ | No log | 4.5538 | 296 | 0.3764 | 0.6626 | 0.3765 |
199
+ | No log | 4.5846 | 298 | 0.3802 | 0.6626 | 0.3803 |
200
+ | No log | 4.6154 | 300 | 0.3895 | 0.6665 | 0.3897 |
201
+ | No log | 4.6462 | 302 | 0.3883 | 0.6665 | 0.3885 |
202
+ | No log | 4.6769 | 304 | 0.3929 | 0.6644 | 0.3930 |
203
+ | No log | 4.7077 | 306 | 0.3906 | 0.6665 | 0.3907 |
204
+ | No log | 4.7385 | 308 | 0.3888 | 0.6603 | 0.3889 |
205
+ | No log | 4.7692 | 310 | 0.3812 | 0.6598 | 0.3813 |
206
+ | No log | 4.8 | 312 | 0.3773 | 0.6648 | 0.3775 |
207
+ | No log | 4.8308 | 314 | 0.3748 | 0.6641 | 0.3750 |
208
+ | No log | 4.8615 | 316 | 0.3726 | 0.6641 | 0.3727 |
209
+ | No log | 4.8923 | 318 | 0.3710 | 0.6641 | 0.3711 |
210
+ | No log | 4.9231 | 320 | 0.3704 | 0.6662 | 0.3705 |
211
+ | No log | 4.9538 | 322 | 0.3691 | 0.6649 | 0.3692 |
212
+ | No log | 4.9846 | 324 | 0.3682 | 0.6649 | 0.3683 |
213
 
214
 
215
  ### Framework versions