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bert_baseline_prompt_adherence_task5_fold0

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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_task4_fold4
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  results: []
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  ---
10
 
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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_task4_fold4
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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: 0.3476
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- - Qwk: 0.7157
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- - Mse: 0.3476
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  ## Model description
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@@ -48,173 +48,176 @@ 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 | 0.0299 | 2 | 1.1588 | 0.0 | 1.1588 |
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- | No log | 0.0597 | 4 | 0.8767 | 0.0 | 0.8767 |
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- | No log | 0.0896 | 6 | 0.7414 | 0.2538 | 0.7414 |
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- | No log | 0.1194 | 8 | 0.7026 | 0.3935 | 0.7026 |
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- | No log | 0.1493 | 10 | 0.6746 | 0.3562 | 0.6746 |
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- | No log | 0.1791 | 12 | 0.6514 | 0.3180 | 0.6514 |
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- | No log | 0.2090 | 14 | 0.6256 | 0.3383 | 0.6256 |
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- | No log | 0.2388 | 16 | 0.5935 | 0.3605 | 0.5935 |
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- | No log | 0.2687 | 18 | 0.5678 | 0.3687 | 0.5678 |
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- | No log | 0.2985 | 20 | 0.5458 | 0.4041 | 0.5458 |
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- | No log | 0.3284 | 22 | 0.5102 | 0.3909 | 0.5102 |
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- | No log | 0.3582 | 24 | 0.5212 | 0.3760 | 0.5212 |
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- | No log | 0.3881 | 26 | 0.4986 | 0.3984 | 0.4986 |
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- | No log | 0.4179 | 28 | 0.4564 | 0.3964 | 0.4564 |
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- | No log | 0.4478 | 30 | 0.4805 | 0.3620 | 0.4805 |
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- | No log | 0.4776 | 32 | 0.5001 | 0.3296 | 0.5001 |
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- | No log | 0.5075 | 34 | 0.4408 | 0.4153 | 0.4408 |
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- | No log | 0.5373 | 36 | 0.4298 | 0.4730 | 0.4298 |
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- | No log | 0.5672 | 38 | 0.4277 | 0.5450 | 0.4277 |
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- | No log | 0.5970 | 40 | 0.4270 | 0.5072 | 0.4270 |
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- | No log | 0.6269 | 42 | 0.4253 | 0.4982 | 0.4253 |
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- | No log | 0.6567 | 44 | 0.4159 | 0.5405 | 0.4159 |
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- | No log | 0.6866 | 46 | 0.4086 | 0.5737 | 0.4086 |
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- | No log | 0.7164 | 48 | 0.4036 | 0.5422 | 0.4036 |
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- | No log | 0.7463 | 50 | 0.3994 | 0.5436 | 0.3994 |
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- | No log | 0.7761 | 52 | 0.3960 | 0.5891 | 0.3960 |
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- | No log | 0.8060 | 54 | 0.4724 | 0.6990 | 0.4724 |
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- | No log | 0.8358 | 56 | 0.6041 | 0.7165 | 0.6041 |
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- | No log | 0.8657 | 58 | 0.7484 | 0.6732 | 0.7484 |
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- | No log | 0.8955 | 60 | 0.6230 | 0.7096 | 0.6230 |
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- | No log | 0.9254 | 62 | 0.4314 | 0.6097 | 0.4314 |
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- | No log | 0.9552 | 64 | 0.3817 | 0.4898 | 0.3817 |
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- | No log | 0.9851 | 66 | 0.4007 | 0.4380 | 0.4007 |
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- | No log | 1.0149 | 68 | 0.3692 | 0.4730 | 0.3692 |
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- | No log | 1.0448 | 70 | 0.3617 | 0.6006 | 0.3617 |
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- | No log | 1.0746 | 72 | 0.3797 | 0.6409 | 0.3797 |
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- | No log | 1.1045 | 74 | 0.3657 | 0.6124 | 0.3657 |
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- | No log | 1.1343 | 76 | 0.3668 | 0.5849 | 0.3668 |
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- | No log | 1.1642 | 78 | 0.3721 | 0.6166 | 0.3721 |
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- | No log | 1.1940 | 80 | 0.3940 | 0.6391 | 0.3940 |
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- | No log | 1.2239 | 82 | 0.4132 | 0.6485 | 0.4132 |
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- | No log | 1.2537 | 84 | 0.3830 | 0.6259 | 0.3830 |
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- | No log | 1.2836 | 86 | 0.3685 | 0.5396 | 0.3685 |
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- | No log | 1.3134 | 88 | 0.3701 | 0.5209 | 0.3701 |
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- | No log | 1.3433 | 90 | 0.3870 | 0.4861 | 0.3870 |
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- | No log | 1.3731 | 92 | 0.3636 | 0.4971 | 0.3636 |
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- | No log | 1.4030 | 94 | 0.3397 | 0.5908 | 0.3397 |
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- | No log | 1.4328 | 96 | 0.3460 | 0.6268 | 0.3460 |
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- | No log | 1.4627 | 98 | 0.3477 | 0.6372 | 0.3477 |
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- | No log | 1.4925 | 100 | 0.3311 | 0.6057 | 0.3311 |
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- | No log | 1.5224 | 102 | 0.3364 | 0.6391 | 0.3364 |
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- | No log | 1.5522 | 104 | 0.3679 | 0.6766 | 0.3679 |
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- | No log | 1.5821 | 106 | 0.3366 | 0.6360 | 0.3366 |
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- | No log | 1.6119 | 108 | 0.3259 | 0.6022 | 0.3259 |
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- | No log | 1.6418 | 110 | 0.3264 | 0.5540 | 0.3264 |
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- | No log | 1.6716 | 112 | 0.3225 | 0.6017 | 0.3225 |
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- | No log | 1.7015 | 114 | 0.3607 | 0.6784 | 0.3607 |
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- | No log | 1.7313 | 116 | 0.3714 | 0.6997 | 0.3714 |
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- | No log | 1.7612 | 118 | 0.3879 | 0.7174 | 0.3879 |
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- | No log | 1.7910 | 120 | 0.3918 | 0.7240 | 0.3918 |
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- | No log | 1.8209 | 122 | 0.3504 | 0.6756 | 0.3504 |
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- | No log | 1.8507 | 124 | 0.3279 | 0.5898 | 0.3279 |
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- | No log | 1.8806 | 126 | 0.3630 | 0.4773 | 0.3630 |
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- | No log | 1.9104 | 128 | 0.3506 | 0.4846 | 0.3506 |
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- | No log | 1.9403 | 130 | 0.3207 | 0.5862 | 0.3207 |
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- | No log | 1.9701 | 132 | 0.3460 | 0.6590 | 0.3460 |
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- | No log | 2.0 | 134 | 0.4251 | 0.7425 | 0.4251 |
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- | No log | 2.0299 | 136 | 0.4846 | 0.7500 | 0.4846 |
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- | No log | 2.0597 | 138 | 0.4460 | 0.7465 | 0.4460 |
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- | No log | 2.0896 | 140 | 0.3581 | 0.7021 | 0.3581 |
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- | No log | 2.1194 | 142 | 0.3155 | 0.6266 | 0.3155 |
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- | No log | 2.1493 | 144 | 0.3210 | 0.5979 | 0.3210 |
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- | No log | 2.1791 | 146 | 0.3223 | 0.6157 | 0.3223 |
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- | No log | 2.2090 | 148 | 0.3245 | 0.6373 | 0.3245 |
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- | No log | 2.2388 | 150 | 0.3294 | 0.6616 | 0.3294 |
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- | No log | 2.2687 | 152 | 0.3221 | 0.6562 | 0.3221 |
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- | No log | 2.2985 | 154 | 0.3220 | 0.6599 | 0.3220 |
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- | No log | 2.3284 | 156 | 0.3226 | 0.6608 | 0.3226 |
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- | No log | 2.3582 | 158 | 0.3204 | 0.6211 | 0.3204 |
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- | No log | 2.3881 | 160 | 0.3173 | 0.6165 | 0.3173 |
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- | No log | 2.4179 | 162 | 0.3106 | 0.6175 | 0.3106 |
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- | No log | 2.4478 | 164 | 0.3034 | 0.6379 | 0.3034 |
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- | No log | 2.4776 | 166 | 0.3096 | 0.6708 | 0.3096 |
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- | No log | 2.5075 | 168 | 0.3477 | 0.7297 | 0.3477 |
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- | No log | 2.5373 | 170 | 0.3540 | 0.7388 | 0.3540 |
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- | No log | 2.5672 | 172 | 0.3500 | 0.7329 | 0.3500 |
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- | No log | 2.5970 | 174 | 0.3318 | 0.7146 | 0.3318 |
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- | No log | 2.6269 | 176 | 0.3029 | 0.6593 | 0.3029 |
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- | No log | 2.6567 | 178 | 0.3003 | 0.6152 | 0.3003 |
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- | No log | 2.6866 | 180 | 0.2979 | 0.6388 | 0.2979 |
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- | No log | 2.7164 | 182 | 0.3064 | 0.6896 | 0.3064 |
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- | No log | 2.7463 | 184 | 0.3009 | 0.6853 | 0.3009 |
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- | No log | 2.7761 | 186 | 0.3026 | 0.6912 | 0.3026 |
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- | No log | 2.8060 | 188 | 0.3075 | 0.6944 | 0.3075 |
145
- | No log | 2.8358 | 190 | 0.2952 | 0.6718 | 0.2952 |
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- | No log | 2.8657 | 192 | 0.2949 | 0.6647 | 0.2949 |
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- | No log | 2.8955 | 194 | 0.3048 | 0.6968 | 0.3048 |
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- | No log | 2.9254 | 196 | 0.3162 | 0.7032 | 0.3162 |
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- | No log | 2.9552 | 198 | 0.3124 | 0.7022 | 0.3124 |
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- | No log | 2.9851 | 200 | 0.2969 | 0.6534 | 0.2969 |
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- | No log | 3.0149 | 202 | 0.3007 | 0.6076 | 0.3007 |
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- | No log | 3.0448 | 204 | 0.3018 | 0.6423 | 0.3018 |
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- | No log | 3.0746 | 206 | 0.3224 | 0.6994 | 0.3224 |
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- | No log | 3.1045 | 208 | 0.3478 | 0.7151 | 0.3478 |
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- | No log | 3.1343 | 210 | 0.3360 | 0.7104 | 0.3360 |
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- | No log | 3.1642 | 212 | 0.3160 | 0.6702 | 0.3160 |
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- | No log | 3.1940 | 214 | 0.3166 | 0.6403 | 0.3166 |
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- | No log | 3.2239 | 216 | 0.3182 | 0.6657 | 0.3182 |
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- | No log | 3.2537 | 218 | 0.3290 | 0.6788 | 0.3290 |
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- | No log | 3.2836 | 220 | 0.3312 | 0.6900 | 0.3312 |
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- | No log | 3.3134 | 222 | 0.3369 | 0.7046 | 0.3369 |
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- | No log | 3.3433 | 224 | 0.3400 | 0.7114 | 0.3400 |
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- | No log | 3.3731 | 226 | 0.3190 | 0.7033 | 0.3190 |
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- | No log | 3.4030 | 228 | 0.3029 | 0.6609 | 0.3029 |
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- | No log | 3.4328 | 230 | 0.3026 | 0.6586 | 0.3026 |
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- | No log | 3.4627 | 232 | 0.3054 | 0.6616 | 0.3054 |
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- | No log | 3.4925 | 234 | 0.3131 | 0.6950 | 0.3131 |
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- | No log | 3.5224 | 236 | 0.3265 | 0.7028 | 0.3265 |
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- | No log | 3.5522 | 238 | 0.3265 | 0.6953 | 0.3265 |
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- | No log | 3.5821 | 240 | 0.3077 | 0.6907 | 0.3077 |
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- | No log | 3.6119 | 242 | 0.2987 | 0.6450 | 0.2987 |
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- | No log | 3.6418 | 244 | 0.2990 | 0.6465 | 0.2990 |
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- | No log | 3.6716 | 246 | 0.3033 | 0.6876 | 0.3033 |
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- | No log | 3.7015 | 248 | 0.3093 | 0.6906 | 0.3093 |
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- | No log | 3.7313 | 250 | 0.3171 | 0.6960 | 0.3171 |
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- | No log | 3.7612 | 252 | 0.3283 | 0.7112 | 0.3283 |
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- | No log | 3.7910 | 254 | 0.3575 | 0.7331 | 0.3575 |
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- | No log | 3.8209 | 256 | 0.3670 | 0.7413 | 0.3670 |
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- | No log | 3.8507 | 258 | 0.3570 | 0.7323 | 0.3570 |
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- | No log | 3.8806 | 260 | 0.3232 | 0.6992 | 0.3232 |
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- | No log | 3.9104 | 262 | 0.3004 | 0.6685 | 0.3004 |
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- | No log | 3.9403 | 264 | 0.3038 | 0.6015 | 0.3038 |
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- | No log | 3.9701 | 266 | 0.3094 | 0.5814 | 0.3094 |
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- | No log | 4.0 | 268 | 0.3024 | 0.5967 | 0.3024 |
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- | No log | 4.0299 | 270 | 0.2941 | 0.6332 | 0.2941 |
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- | No log | 4.0597 | 272 | 0.2933 | 0.6493 | 0.2933 |
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- | No log | 4.0896 | 274 | 0.3032 | 0.6913 | 0.3032 |
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- | No log | 4.1194 | 276 | 0.3164 | 0.7051 | 0.3164 |
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- | No log | 4.1493 | 278 | 0.3232 | 0.7005 | 0.3232 |
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- | No log | 4.1791 | 280 | 0.3245 | 0.7079 | 0.3245 |
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- | No log | 4.2090 | 282 | 0.3186 | 0.6997 | 0.3186 |
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- | No log | 4.2388 | 284 | 0.3215 | 0.7003 | 0.3215 |
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- | No log | 4.2687 | 286 | 0.3306 | 0.7106 | 0.3306 |
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- | No log | 4.2985 | 288 | 0.3441 | 0.7217 | 0.3441 |
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- | No log | 4.3284 | 290 | 0.3486 | 0.7234 | 0.3486 |
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- | No log | 4.3582 | 292 | 0.3376 | 0.7139 | 0.3376 |
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- | No log | 4.3881 | 294 | 0.3203 | 0.6960 | 0.3203 |
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- | No log | 4.4179 | 296 | 0.3093 | 0.6796 | 0.3093 |
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- | No log | 4.4478 | 298 | 0.3051 | 0.6659 | 0.3051 |
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- | No log | 4.4776 | 300 | 0.3045 | 0.6514 | 0.3045 |
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- | No log | 4.5075 | 302 | 0.3064 | 0.6497 | 0.3064 |
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- | No log | 4.5373 | 304 | 0.3071 | 0.6474 | 0.3071 |
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- | No log | 4.5672 | 306 | 0.3066 | 0.6539 | 0.3066 |
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- | No log | 4.5970 | 308 | 0.3081 | 0.6546 | 0.3081 |
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- | No log | 4.6269 | 310 | 0.3140 | 0.6855 | 0.3140 |
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- | No log | 4.6567 | 312 | 0.3241 | 0.7028 | 0.3241 |
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- | No log | 4.6866 | 314 | 0.3381 | 0.7070 | 0.3381 |
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- | No log | 4.7164 | 316 | 0.3531 | 0.7234 | 0.3531 |
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- | No log | 4.7463 | 318 | 0.3691 | 0.7275 | 0.3691 |
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- | No log | 4.7761 | 320 | 0.3769 | 0.7308 | 0.3769 |
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- | No log | 4.8060 | 322 | 0.3765 | 0.7286 | 0.3765 |
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- | No log | 4.8358 | 324 | 0.3708 | 0.7299 | 0.3708 |
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- | No log | 4.8657 | 326 | 0.3639 | 0.7252 | 0.3639 |
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- | No log | 4.8955 | 328 | 0.3573 | 0.7268 | 0.3573 |
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- | No log | 4.9254 | 330 | 0.3528 | 0.7201 | 0.3528 |
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- | No log | 4.9552 | 332 | 0.3490 | 0.7169 | 0.3490 |
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- | No log | 4.9851 | 334 | 0.3476 | 0.7157 | 0.3476 |
 
 
 
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  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: bert_baseline_prompt_adherence_task5_fold0
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_task5_fold0
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:
18
+ - Loss: 0.4870
19
+ - Qwk: 0.7160
20
+ - Mse: 0.4874
21
 
22
  ## Model description
23
 
 
48
 
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
+ | No log | 0.0294 | 2 | 3.1421 | 0.0 | 3.1416 |
52
+ | No log | 0.0588 | 4 | 2.4083 | 0.0030 | 2.4077 |
53
+ | No log | 0.0882 | 6 | 1.8695 | 0.1157 | 1.8689 |
54
+ | No log | 0.1176 | 8 | 1.4999 | 0.0197 | 1.4992 |
55
+ | No log | 0.1471 | 10 | 1.2033 | 0.0 | 1.2027 |
56
+ | No log | 0.1765 | 12 | 1.0581 | 0.0 | 1.0575 |
57
+ | No log | 0.2059 | 14 | 0.9734 | 0.4026 | 0.9728 |
58
+ | No log | 0.2353 | 16 | 0.9439 | 0.3348 | 0.9435 |
59
+ | No log | 0.2647 | 18 | 0.9011 | 0.3514 | 0.9007 |
60
+ | No log | 0.2941 | 20 | 0.8612 | 0.3899 | 0.8606 |
61
+ | No log | 0.3235 | 22 | 0.8436 | 0.3677 | 0.8430 |
62
+ | No log | 0.3529 | 24 | 0.7792 | 0.4120 | 0.7789 |
63
+ | No log | 0.3824 | 26 | 0.7411 | 0.4097 | 0.7412 |
64
+ | No log | 0.4118 | 28 | 0.7178 | 0.4104 | 0.7181 |
65
+ | No log | 0.4412 | 30 | 0.6881 | 0.4144 | 0.6884 |
66
+ | No log | 0.4706 | 32 | 0.6386 | 0.4233 | 0.6388 |
67
+ | No log | 0.5 | 34 | 0.6263 | 0.4260 | 0.6267 |
68
+ | No log | 0.5294 | 36 | 0.6191 | 0.4425 | 0.6196 |
69
+ | No log | 0.5588 | 38 | 0.6170 | 0.4483 | 0.6176 |
70
+ | No log | 0.5882 | 40 | 0.6557 | 0.4512 | 0.6564 |
71
+ | No log | 0.6176 | 42 | 0.7423 | 0.4366 | 0.7432 |
72
+ | No log | 0.6471 | 44 | 0.6778 | 0.4875 | 0.6785 |
73
+ | No log | 0.6765 | 46 | 0.5894 | 0.5210 | 0.5899 |
74
+ | No log | 0.7059 | 48 | 0.5643 | 0.5377 | 0.5645 |
75
+ | No log | 0.7353 | 50 | 0.5833 | 0.5055 | 0.5831 |
76
+ | No log | 0.7647 | 52 | 0.5574 | 0.5158 | 0.5574 |
77
+ | No log | 0.7941 | 54 | 0.5871 | 0.6693 | 0.5878 |
78
+ | No log | 0.8235 | 56 | 0.6332 | 0.6972 | 0.6341 |
79
+ | No log | 0.8529 | 58 | 0.5675 | 0.6386 | 0.5680 |
80
+ | No log | 0.8824 | 60 | 0.5659 | 0.6737 | 0.5665 |
81
+ | No log | 0.9118 | 62 | 0.5687 | 0.6856 | 0.5691 |
82
+ | No log | 0.9412 | 64 | 0.6101 | 0.7011 | 0.6109 |
83
+ | No log | 0.9706 | 66 | 0.6053 | 0.7360 | 0.6061 |
84
+ | No log | 1.0 | 68 | 0.5455 | 0.6771 | 0.5459 |
85
+ | No log | 1.0294 | 70 | 0.5344 | 0.6306 | 0.5346 |
86
+ | No log | 1.0588 | 72 | 0.5456 | 0.6483 | 0.5459 |
87
+ | No log | 1.0882 | 74 | 0.5758 | 0.6801 | 0.5762 |
88
+ | No log | 1.1176 | 76 | 0.6070 | 0.7361 | 0.6077 |
89
+ | No log | 1.1471 | 78 | 0.6643 | 0.7415 | 0.6652 |
90
+ | No log | 1.1765 | 80 | 0.6498 | 0.7262 | 0.6506 |
91
+ | No log | 1.2059 | 82 | 0.5447 | 0.6309 | 0.5449 |
92
+ | No log | 1.2353 | 84 | 0.5707 | 0.5635 | 0.5703 |
93
+ | No log | 1.2647 | 86 | 0.5895 | 0.5689 | 0.5890 |
94
+ | No log | 1.2941 | 88 | 0.5714 | 0.6711 | 0.5718 |
95
+ | No log | 1.3235 | 90 | 0.5937 | 0.7027 | 0.5946 |
96
+ | No log | 1.3529 | 92 | 0.5348 | 0.6453 | 0.5352 |
97
+ | No log | 1.3824 | 94 | 0.5234 | 0.6111 | 0.5234 |
98
+ | No log | 1.4118 | 96 | 0.5613 | 0.7067 | 0.5622 |
99
+ | No log | 1.4412 | 98 | 0.6330 | 0.7364 | 0.6342 |
100
+ | No log | 1.4706 | 100 | 0.6118 | 0.7386 | 0.6128 |
101
+ | No log | 1.5 | 102 | 0.5264 | 0.6980 | 0.5269 |
102
+ | No log | 1.5294 | 104 | 0.5054 | 0.6064 | 0.5052 |
103
+ | No log | 1.5588 | 106 | 0.5020 | 0.6057 | 0.5019 |
104
+ | No log | 1.5882 | 108 | 0.4930 | 0.6402 | 0.4932 |
105
+ | No log | 1.6176 | 110 | 0.5124 | 0.6965 | 0.5130 |
106
+ | No log | 1.6471 | 112 | 0.5059 | 0.7021 | 0.5065 |
107
+ | No log | 1.6765 | 114 | 0.4952 | 0.6826 | 0.4957 |
108
+ | No log | 1.7059 | 116 | 0.4838 | 0.6611 | 0.4842 |
109
+ | No log | 1.7353 | 118 | 0.4787 | 0.6423 | 0.4789 |
110
+ | No log | 1.7647 | 120 | 0.4822 | 0.6561 | 0.4826 |
111
+ | No log | 1.7941 | 122 | 0.5205 | 0.7345 | 0.5212 |
112
+ | No log | 1.8235 | 124 | 0.5129 | 0.7314 | 0.5135 |
113
+ | No log | 1.8529 | 126 | 0.4845 | 0.6544 | 0.4847 |
114
+ | No log | 1.8824 | 128 | 0.4865 | 0.6634 | 0.4868 |
115
+ | No log | 1.9118 | 130 | 0.4838 | 0.6358 | 0.4839 |
116
+ | No log | 1.9412 | 132 | 0.4898 | 0.6777 | 0.4900 |
117
+ | No log | 1.9706 | 134 | 0.4804 | 0.6655 | 0.4806 |
118
+ | No log | 2.0 | 136 | 0.4804 | 0.5760 | 0.4800 |
119
+ | No log | 2.0294 | 138 | 0.4835 | 0.5762 | 0.4831 |
120
+ | No log | 2.0588 | 140 | 0.4624 | 0.6260 | 0.4623 |
121
+ | No log | 2.0882 | 142 | 0.5061 | 0.7344 | 0.5067 |
122
+ | No log | 2.1176 | 144 | 0.5440 | 0.7385 | 0.5448 |
123
+ | No log | 2.1471 | 146 | 0.5168 | 0.7265 | 0.5174 |
124
+ | No log | 2.1765 | 148 | 0.4591 | 0.6554 | 0.4592 |
125
+ | No log | 2.2059 | 150 | 0.4728 | 0.5767 | 0.4724 |
126
+ | No log | 2.2353 | 152 | 0.5080 | 0.5478 | 0.5073 |
127
+ | No log | 2.2647 | 154 | 0.4907 | 0.5525 | 0.4902 |
128
+ | No log | 2.2941 | 156 | 0.4599 | 0.5955 | 0.4598 |
129
+ | No log | 2.3235 | 158 | 0.4861 | 0.7290 | 0.4865 |
130
+ | No log | 2.3529 | 160 | 0.6133 | 0.7618 | 0.6143 |
131
+ | No log | 2.3824 | 162 | 0.7415 | 0.7608 | 0.7430 |
132
+ | No log | 2.4118 | 164 | 0.7229 | 0.7630 | 0.7243 |
133
+ | No log | 2.4412 | 166 | 0.6094 | 0.7553 | 0.6104 |
134
+ | No log | 2.4706 | 168 | 0.4935 | 0.7226 | 0.4939 |
135
+ | No log | 2.5 | 170 | 0.4734 | 0.6028 | 0.4730 |
136
+ | No log | 2.5294 | 172 | 0.4959 | 0.5787 | 0.4952 |
137
+ | No log | 2.5588 | 174 | 0.4736 | 0.5908 | 0.4732 |
138
+ | No log | 2.5882 | 176 | 0.4659 | 0.6921 | 0.4661 |
139
+ | No log | 2.6176 | 178 | 0.5161 | 0.7449 | 0.5168 |
140
+ | No log | 2.6471 | 180 | 0.5802 | 0.7581 | 0.5812 |
141
+ | No log | 2.6765 | 182 | 0.5806 | 0.7602 | 0.5816 |
142
+ | No log | 2.7059 | 184 | 0.5066 | 0.7403 | 0.5073 |
143
+ | No log | 2.7353 | 186 | 0.4652 | 0.6848 | 0.4654 |
144
+ | No log | 2.7647 | 188 | 0.4526 | 0.6386 | 0.4525 |
145
+ | No log | 2.7941 | 190 | 0.4537 | 0.6420 | 0.4536 |
146
+ | No log | 2.8235 | 192 | 0.4627 | 0.6977 | 0.4629 |
147
+ | No log | 2.8529 | 194 | 0.4899 | 0.7249 | 0.4904 |
148
+ | No log | 2.8824 | 196 | 0.5294 | 0.7309 | 0.5302 |
149
+ | No log | 2.9118 | 198 | 0.5313 | 0.7249 | 0.5321 |
150
+ | No log | 2.9412 | 200 | 0.4939 | 0.7241 | 0.4944 |
151
+ | No log | 2.9706 | 202 | 0.4574 | 0.6735 | 0.4573 |
152
+ | No log | 3.0 | 204 | 0.4569 | 0.6519 | 0.4567 |
153
+ | No log | 3.0294 | 206 | 0.4649 | 0.6639 | 0.4647 |
154
+ | No log | 3.0588 | 208 | 0.4917 | 0.7097 | 0.4920 |
155
+ | No log | 3.0882 | 210 | 0.5072 | 0.7189 | 0.5076 |
156
+ | No log | 3.1176 | 212 | 0.5108 | 0.7087 | 0.5111 |
157
+ | No log | 3.1471 | 214 | 0.4959 | 0.6660 | 0.4957 |
158
+ | No log | 3.1765 | 216 | 0.4845 | 0.6598 | 0.4841 |
159
+ | No log | 3.2059 | 218 | 0.4681 | 0.6549 | 0.4678 |
160
+ | No log | 3.2353 | 220 | 0.4605 | 0.6981 | 0.4605 |
161
+ | No log | 3.2647 | 222 | 0.4876 | 0.7221 | 0.4881 |
162
+ | No log | 3.2941 | 224 | 0.5067 | 0.7194 | 0.5072 |
163
+ | No log | 3.3235 | 226 | 0.4901 | 0.7133 | 0.4905 |
164
+ | No log | 3.3529 | 228 | 0.4686 | 0.6839 | 0.4687 |
165
+ | No log | 3.3824 | 230 | 0.4717 | 0.6952 | 0.4719 |
166
+ | No log | 3.4118 | 232 | 0.4693 | 0.6941 | 0.4694 |
167
+ | No log | 3.4412 | 234 | 0.4836 | 0.7163 | 0.4839 |
168
+ | No log | 3.4706 | 236 | 0.4918 | 0.7138 | 0.4921 |
169
+ | No log | 3.5 | 238 | 0.4993 | 0.7236 | 0.4996 |
170
+ | No log | 3.5294 | 240 | 0.5378 | 0.7311 | 0.5384 |
171
+ | No log | 3.5588 | 242 | 0.5550 | 0.7422 | 0.5557 |
172
+ | No log | 3.5882 | 244 | 0.5267 | 0.7269 | 0.5272 |
173
+ | No log | 3.6176 | 246 | 0.4938 | 0.7017 | 0.4939 |
174
+ | No log | 3.6471 | 248 | 0.4934 | 0.7103 | 0.4935 |
175
+ | No log | 3.6765 | 250 | 0.4943 | 0.7111 | 0.4945 |
176
+ | No log | 3.7059 | 252 | 0.4932 | 0.7133 | 0.4934 |
177
+ | No log | 3.7353 | 254 | 0.4942 | 0.7149 | 0.4945 |
178
+ | No log | 3.7647 | 256 | 0.5095 | 0.7269 | 0.5102 |
179
+ | No log | 3.7941 | 258 | 0.5335 | 0.7366 | 0.5344 |
180
+ | No log | 3.8235 | 260 | 0.5399 | 0.7376 | 0.5408 |
181
+ | No log | 3.8529 | 262 | 0.5274 | 0.7340 | 0.5282 |
182
+ | No log | 3.8824 | 264 | 0.5032 | 0.7390 | 0.5038 |
183
+ | No log | 3.9118 | 266 | 0.4953 | 0.7384 | 0.4959 |
184
+ | No log | 3.9412 | 268 | 0.4773 | 0.7166 | 0.4778 |
185
+ | No log | 3.9706 | 270 | 0.4604 | 0.6906 | 0.4606 |
186
+ | No log | 4.0 | 272 | 0.4522 | 0.6585 | 0.4522 |
187
+ | No log | 4.0294 | 274 | 0.4498 | 0.6320 | 0.4496 |
188
+ | No log | 4.0588 | 276 | 0.4497 | 0.6302 | 0.4495 |
189
+ | No log | 4.0882 | 278 | 0.4505 | 0.6510 | 0.4505 |
190
+ | No log | 4.1176 | 280 | 0.4585 | 0.6828 | 0.4587 |
191
+ | No log | 4.1471 | 282 | 0.4639 | 0.7015 | 0.4642 |
192
+ | No log | 4.1765 | 284 | 0.4732 | 0.7132 | 0.4736 |
193
+ | No log | 4.2059 | 286 | 0.4774 | 0.7175 | 0.4779 |
194
+ | No log | 4.2353 | 288 | 0.4798 | 0.7146 | 0.4803 |
195
+ | No log | 4.2647 | 290 | 0.4810 | 0.7175 | 0.4815 |
196
+ | No log | 4.2941 | 292 | 0.4834 | 0.7221 | 0.4839 |
197
+ | No log | 4.3235 | 294 | 0.4784 | 0.7176 | 0.4788 |
198
+ | No log | 4.3529 | 296 | 0.4714 | 0.7062 | 0.4716 |
199
+ | No log | 4.3824 | 298 | 0.4744 | 0.7067 | 0.4746 |
200
+ | No log | 4.4118 | 300 | 0.4792 | 0.7170 | 0.4795 |
201
+ | No log | 4.4412 | 302 | 0.4930 | 0.7249 | 0.4935 |
202
+ | No log | 4.4706 | 304 | 0.5034 | 0.7251 | 0.5040 |
203
+ | No log | 4.5 | 306 | 0.5084 | 0.7256 | 0.5090 |
204
+ | No log | 4.5294 | 308 | 0.5080 | 0.7267 | 0.5086 |
205
+ | No log | 4.5588 | 310 | 0.5111 | 0.7258 | 0.5118 |
206
+ | No log | 4.5882 | 312 | 0.5187 | 0.7255 | 0.5194 |
207
+ | No log | 4.6176 | 314 | 0.5135 | 0.7264 | 0.5142 |
208
+ | No log | 4.6471 | 316 | 0.5003 | 0.7254 | 0.5008 |
209
+ | No log | 4.6765 | 318 | 0.4859 | 0.7234 | 0.4863 |
210
+ | No log | 4.7059 | 320 | 0.4757 | 0.7153 | 0.4760 |
211
+ | No log | 4.7353 | 322 | 0.4726 | 0.7002 | 0.4728 |
212
+ | No log | 4.7647 | 324 | 0.4722 | 0.6968 | 0.4723 |
213
+ | No log | 4.7941 | 326 | 0.4733 | 0.7044 | 0.4735 |
214
+ | No log | 4.8235 | 328 | 0.4753 | 0.7082 | 0.4755 |
215
+ | No log | 4.8529 | 330 | 0.4782 | 0.7132 | 0.4785 |
216
+ | No log | 4.8824 | 332 | 0.4805 | 0.7138 | 0.4808 |
217
+ | No log | 4.9118 | 334 | 0.4836 | 0.7103 | 0.4839 |
218
+ | No log | 4.9412 | 336 | 0.4856 | 0.7126 | 0.4860 |
219
+ | No log | 4.9706 | 338 | 0.4865 | 0.7126 | 0.4869 |
220
+ | No log | 5.0 | 340 | 0.4870 | 0.7160 | 0.4874 |
221
 
222
 
223
  ### Framework versions