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README.md CHANGED
@@ -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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  ---
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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. -->
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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 +48,173 @@ 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 |
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- | 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
 
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  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: bert_baseline_prompt_adherence_task4_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_task4_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: 0.3007
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+ - Qwk: 0.7134
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+ - Mse: 0.3007
21
 
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  ## Model description
23
 
 
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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 | 1.1652 | 0.0 | 1.1652 |
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+ | No log | 0.0597 | 4 | 0.8846 | 0.0 | 0.8846 |
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+ | No log | 0.0896 | 6 | 0.8201 | 0.0410 | 0.8201 |
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+ | No log | 0.1194 | 8 | 0.7309 | 0.3544 | 0.7309 |
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+ | No log | 0.1493 | 10 | 0.7578 | 0.3105 | 0.7578 |
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+ | No log | 0.1791 | 12 | 0.7143 | 0.3280 | 0.7143 |
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+ | No log | 0.2090 | 14 | 0.6343 | 0.3423 | 0.6343 |
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+ | No log | 0.2388 | 16 | 0.5999 | 0.3575 | 0.5999 |
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+ | No log | 0.2687 | 18 | 0.5471 | 0.3610 | 0.5471 |
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+ | No log | 0.2985 | 20 | 0.5081 | 0.3822 | 0.5081 |
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+ | No log | 0.3284 | 22 | 0.4839 | 0.3950 | 0.4839 |
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+ | No log | 0.3582 | 24 | 0.4767 | 0.4624 | 0.4767 |
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+ | No log | 0.3881 | 26 | 0.4623 | 0.4753 | 0.4623 |
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+ | No log | 0.4179 | 28 | 0.4515 | 0.5443 | 0.4515 |
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+ | No log | 0.4478 | 30 | 0.4418 | 0.5861 | 0.4418 |
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+ | No log | 0.4776 | 32 | 0.4497 | 0.6372 | 0.4497 |
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+ | No log | 0.5075 | 34 | 0.4684 | 0.6804 | 0.4684 |
68
+ | No log | 0.5373 | 36 | 0.4103 | 0.5638 | 0.4103 |
69
+ | No log | 0.5672 | 38 | 0.4692 | 0.4278 | 0.4692 |
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+ | No log | 0.5970 | 40 | 0.4385 | 0.4702 | 0.4385 |
71
+ | No log | 0.6269 | 42 | 0.4057 | 0.6059 | 0.4057 |
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+ | No log | 0.6567 | 44 | 0.4075 | 0.6238 | 0.4075 |
73
+ | No log | 0.6866 | 46 | 0.4234 | 0.6279 | 0.4234 |
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+ | No log | 0.7164 | 48 | 0.4115 | 0.6273 | 0.4115 |
75
+ | No log | 0.7463 | 50 | 0.4058 | 0.6275 | 0.4058 |
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+ | No log | 0.7761 | 52 | 0.4300 | 0.5914 | 0.4300 |
77
+ | No log | 0.8060 | 54 | 0.4332 | 0.6025 | 0.4332 |
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+ | No log | 0.8358 | 56 | 0.4235 | 0.6677 | 0.4235 |
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+ | No log | 0.8657 | 58 | 0.4115 | 0.7315 | 0.4115 |
80
+ | No log | 0.8955 | 60 | 0.4135 | 0.7072 | 0.4135 |
81
+ | No log | 0.9254 | 62 | 0.3817 | 0.6369 | 0.3817 |
82
+ | No log | 0.9552 | 64 | 0.3606 | 0.5386 | 0.3606 |
83
+ | No log | 0.9851 | 66 | 0.3687 | 0.4897 | 0.3687 |
84
+ | No log | 1.0149 | 68 | 0.3556 | 0.5853 | 0.3556 |
85
+ | No log | 1.0448 | 70 | 0.5049 | 0.7415 | 0.5049 |
86
+ | No log | 1.0746 | 72 | 0.6769 | 0.7072 | 0.6769 |
87
+ | No log | 1.1045 | 74 | 0.6039 | 0.7261 | 0.6039 |
88
+ | No log | 1.1343 | 76 | 0.4060 | 0.7198 | 0.4060 |
89
+ | No log | 1.1642 | 78 | 0.3443 | 0.6533 | 0.3443 |
90
+ | No log | 1.1940 | 80 | 0.3495 | 0.5565 | 0.3495 |
91
+ | No log | 1.2239 | 82 | 0.3811 | 0.5224 | 0.3811 |
92
+ | No log | 1.2537 | 84 | 0.3542 | 0.5846 | 0.3542 |
93
+ | No log | 1.2836 | 86 | 0.4255 | 0.7504 | 0.4255 |
94
+ | No log | 1.3134 | 88 | 0.6892 | 0.7008 | 0.6892 |
95
+ | No log | 1.3433 | 90 | 0.8083 | 0.6679 | 0.8083 |
96
+ | No log | 1.3731 | 92 | 0.6980 | 0.7011 | 0.6980 |
97
+ | No log | 1.4030 | 94 | 0.4612 | 0.7265 | 0.4612 |
98
+ | No log | 1.4328 | 96 | 0.3490 | 0.5371 | 0.3490 |
99
+ | No log | 1.4627 | 98 | 0.5146 | 0.3705 | 0.5146 |
100
+ | No log | 1.4925 | 100 | 0.5892 | 0.3434 | 0.5892 |
101
+ | No log | 1.5224 | 102 | 0.4912 | 0.3726 | 0.4912 |
102
+ | No log | 1.5522 | 104 | 0.3555 | 0.5078 | 0.3555 |
103
+ | No log | 1.5821 | 106 | 0.3535 | 0.6587 | 0.3535 |
104
+ | No log | 1.6119 | 108 | 0.4582 | 0.7396 | 0.4582 |
105
+ | No log | 1.6418 | 110 | 0.4804 | 0.7252 | 0.4804 |
106
+ | No log | 1.6716 | 112 | 0.4264 | 0.7211 | 0.4264 |
107
+ | No log | 1.7015 | 114 | 0.3477 | 0.6178 | 0.3477 |
108
+ | No log | 1.7313 | 116 | 0.3480 | 0.5050 | 0.3480 |
109
+ | No log | 1.7612 | 118 | 0.3673 | 0.4892 | 0.3673 |
110
+ | No log | 1.7910 | 120 | 0.3600 | 0.4946 | 0.3600 |
111
+ | No log | 1.8209 | 122 | 0.3388 | 0.5381 | 0.3388 |
112
+ | No log | 1.8507 | 124 | 0.3300 | 0.6645 | 0.3300 |
113
+ | No log | 1.8806 | 126 | 0.3572 | 0.7312 | 0.3572 |
114
+ | No log | 1.9104 | 128 | 0.3822 | 0.7526 | 0.3822 |
115
+ | No log | 1.9403 | 130 | 0.4252 | 0.7575 | 0.4252 |
116
+ | No log | 1.9701 | 132 | 0.4264 | 0.7640 | 0.4264 |
117
+ | No log | 2.0 | 134 | 0.3658 | 0.7410 | 0.3658 |
118
+ | No log | 2.0299 | 136 | 0.3297 | 0.7094 | 0.3297 |
119
+ | No log | 2.0597 | 138 | 0.3264 | 0.7102 | 0.3264 |
120
+ | No log | 2.0896 | 140 | 0.3522 | 0.7487 | 0.3522 |
121
+ | No log | 2.1194 | 142 | 0.3914 | 0.7552 | 0.3914 |
122
+ | No log | 2.1493 | 144 | 0.4335 | 0.7680 | 0.4335 |
123
+ | No log | 2.1791 | 146 | 0.4439 | 0.7586 | 0.4439 |
124
+ | No log | 2.2090 | 148 | 0.3692 | 0.7491 | 0.3692 |
125
+ | No log | 2.2388 | 150 | 0.3258 | 0.6501 | 0.3258 |
126
+ | No log | 2.2687 | 152 | 0.3523 | 0.6000 | 0.3523 |
127
+ | No log | 2.2985 | 154 | 0.3407 | 0.6159 | 0.3407 |
128
+ | No log | 2.3284 | 156 | 0.3342 | 0.6202 | 0.3342 |
129
+ | No log | 2.3582 | 158 | 0.3294 | 0.7100 | 0.3294 |
130
+ | No log | 2.3881 | 160 | 0.3491 | 0.7501 | 0.3491 |
131
+ | No log | 2.4179 | 162 | 0.3731 | 0.7590 | 0.3731 |
132
+ | No log | 2.4478 | 164 | 0.3408 | 0.7523 | 0.3408 |
133
+ | No log | 2.4776 | 166 | 0.3112 | 0.6943 | 0.3112 |
134
+ | No log | 2.5075 | 168 | 0.3135 | 0.7184 | 0.3135 |
135
+ | No log | 2.5373 | 170 | 0.3134 | 0.7015 | 0.3134 |
136
+ | No log | 2.5672 | 172 | 0.3262 | 0.7419 | 0.3262 |
137
+ | No log | 2.5970 | 174 | 0.3347 | 0.7282 | 0.3347 |
138
+ | No log | 2.6269 | 176 | 0.3192 | 0.6942 | 0.3192 |
139
+ | No log | 2.6567 | 178 | 0.3078 | 0.6348 | 0.3078 |
140
+ | No log | 2.6866 | 180 | 0.3097 | 0.6600 | 0.3097 |
141
+ | No log | 2.7164 | 182 | 0.3294 | 0.6841 | 0.3294 |
142
+ | No log | 2.7463 | 184 | 0.3479 | 0.7260 | 0.3479 |
143
+ | No log | 2.7761 | 186 | 0.3401 | 0.7118 | 0.3401 |
144
+ | No log | 2.8060 | 188 | 0.3360 | 0.7117 | 0.3360 |
145
+ | No log | 2.8358 | 190 | 0.3056 | 0.6730 | 0.3056 |
146
+ | No log | 2.8657 | 192 | 0.2965 | 0.6508 | 0.2965 |
147
+ | No log | 2.8955 | 194 | 0.2960 | 0.6731 | 0.2960 |
148
+ | No log | 2.9254 | 196 | 0.3068 | 0.7254 | 0.3068 |
149
+ | No log | 2.9552 | 198 | 0.3087 | 0.7405 | 0.3087 |
150
+ | No log | 2.9851 | 200 | 0.3304 | 0.7504 | 0.3304 |
151
+ | No log | 3.0149 | 202 | 0.3751 | 0.7815 | 0.3751 |
152
+ | No log | 3.0448 | 204 | 0.3574 | 0.7730 | 0.3574 |
153
+ | No log | 3.0746 | 206 | 0.3088 | 0.7355 | 0.3088 |
154
+ | No log | 3.1045 | 208 | 0.2871 | 0.6991 | 0.2871 |
155
+ | No log | 3.1343 | 210 | 0.2886 | 0.6702 | 0.2886 |
156
+ | No log | 3.1642 | 212 | 0.2844 | 0.7040 | 0.2844 |
157
+ | No log | 3.1940 | 214 | 0.3033 | 0.7327 | 0.3033 |
158
+ | No log | 3.2239 | 216 | 0.3049 | 0.7362 | 0.3049 |
159
+ | No log | 3.2537 | 218 | 0.2916 | 0.6614 | 0.2916 |
160
+ | No log | 3.2836 | 220 | 0.2944 | 0.6488 | 0.2944 |
161
+ | No log | 3.3134 | 222 | 0.2985 | 0.6593 | 0.2985 |
162
+ | No log | 3.3433 | 224 | 0.2998 | 0.6534 | 0.2998 |
163
+ | No log | 3.3731 | 226 | 0.3006 | 0.6674 | 0.3006 |
164
+ | No log | 3.4030 | 228 | 0.3110 | 0.7123 | 0.3110 |
165
+ | No log | 3.4328 | 230 | 0.3410 | 0.7500 | 0.3410 |
166
+ | No log | 3.4627 | 232 | 0.3420 | 0.7495 | 0.3420 |
167
+ | No log | 3.4925 | 234 | 0.3212 | 0.7474 | 0.3212 |
168
+ | No log | 3.5224 | 236 | 0.3012 | 0.7157 | 0.3012 |
169
+ | No log | 3.5522 | 238 | 0.2985 | 0.7168 | 0.2985 |
170
+ | No log | 3.5821 | 240 | 0.3101 | 0.7502 | 0.3101 |
171
+ | No log | 3.6119 | 242 | 0.3348 | 0.7567 | 0.3348 |
172
+ | No log | 3.6418 | 244 | 0.3399 | 0.7589 | 0.3399 |
173
+ | No log | 3.6716 | 246 | 0.3245 | 0.7547 | 0.3245 |
174
+ | No log | 3.7015 | 248 | 0.3113 | 0.7515 | 0.3113 |
175
+ | No log | 3.7313 | 250 | 0.2960 | 0.7236 | 0.2960 |
176
+ | No log | 3.7612 | 252 | 0.2962 | 0.7293 | 0.2962 |
177
+ | No log | 3.7910 | 254 | 0.3069 | 0.7442 | 0.3069 |
178
+ | No log | 3.8209 | 256 | 0.3069 | 0.7433 | 0.3069 |
179
+ | No log | 3.8507 | 258 | 0.2979 | 0.7457 | 0.2979 |
180
+ | No log | 3.8806 | 260 | 0.2953 | 0.7366 | 0.2953 |
181
+ | No log | 3.9104 | 262 | 0.2937 | 0.7168 | 0.2937 |
182
+ | No log | 3.9403 | 264 | 0.2930 | 0.6800 | 0.2930 |
183
+ | No log | 3.9701 | 266 | 0.2948 | 0.6522 | 0.2948 |
184
+ | No log | 4.0 | 268 | 0.2976 | 0.6603 | 0.2976 |
185
+ | No log | 4.0299 | 270 | 0.3080 | 0.7057 | 0.3080 |
186
+ | No log | 4.0597 | 272 | 0.3385 | 0.7483 | 0.3385 |
187
+ | No log | 4.0896 | 274 | 0.3662 | 0.7436 | 0.3662 |
188
+ | No log | 4.1194 | 276 | 0.3628 | 0.7465 | 0.3628 |
189
+ | No log | 4.1493 | 278 | 0.3366 | 0.7420 | 0.3366 |
190
+ | No log | 4.1791 | 280 | 0.3211 | 0.7371 | 0.3211 |
191
+ | No log | 4.2090 | 282 | 0.3076 | 0.7307 | 0.3076 |
192
+ | No log | 4.2388 | 284 | 0.3029 | 0.6986 | 0.3029 |
193
+ | No log | 4.2687 | 286 | 0.3028 | 0.6533 | 0.3028 |
194
+ | No log | 4.2985 | 288 | 0.3025 | 0.6613 | 0.3025 |
195
+ | No log | 4.3284 | 290 | 0.3052 | 0.7293 | 0.3052 |
196
+ | No log | 4.3582 | 292 | 0.3108 | 0.7444 | 0.3108 |
197
+ | No log | 4.3881 | 294 | 0.3108 | 0.7444 | 0.3108 |
198
+ | No log | 4.4179 | 296 | 0.3085 | 0.7431 | 0.3085 |
199
+ | No log | 4.4478 | 298 | 0.3061 | 0.7384 | 0.3061 |
200
+ | No log | 4.4776 | 300 | 0.3071 | 0.7357 | 0.3071 |
201
+ | No log | 4.5075 | 302 | 0.3097 | 0.7392 | 0.3097 |
202
+ | No log | 4.5373 | 304 | 0.3115 | 0.7464 | 0.3115 |
203
+ | No log | 4.5672 | 306 | 0.3114 | 0.7477 | 0.3114 |
204
+ | No log | 4.5970 | 308 | 0.3072 | 0.7332 | 0.3072 |
205
+ | No log | 4.6269 | 310 | 0.3050 | 0.7310 | 0.3050 |
206
+ | No log | 4.6567 | 312 | 0.3040 | 0.7358 | 0.3040 |
207
+ | No log | 4.6866 | 314 | 0.3036 | 0.7311 | 0.3036 |
208
+ | No log | 4.7164 | 316 | 0.3050 | 0.7392 | 0.3050 |
209
+ | No log | 4.7463 | 318 | 0.3053 | 0.7440 | 0.3053 |
210
+ | No log | 4.7761 | 320 | 0.3055 | 0.7440 | 0.3055 |
211
+ | No log | 4.8060 | 322 | 0.3037 | 0.7311 | 0.3037 |
212
+ | No log | 4.8358 | 324 | 0.3023 | 0.7286 | 0.3023 |
213
+ | No log | 4.8657 | 326 | 0.3017 | 0.7284 | 0.3017 |
214
+ | No log | 4.8955 | 328 | 0.3009 | 0.7134 | 0.3009 |
215
+ | No log | 4.9254 | 330 | 0.3007 | 0.7134 | 0.3007 |
216
+ | No log | 4.9552 | 332 | 0.3006 | 0.7134 | 0.3006 |
217
+ | No log | 4.9851 | 334 | 0.3007 | 0.7134 | 0.3007 |
218
 
219
 
220
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