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bert_baseline_language_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_language_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. -->
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- # bert_baseline_language_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: 0.4310
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- - Qwk: 0.6497
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- - Mse: 0.4312
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  ## Model description
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@@ -46,170 +46,170 @@ The following hyperparameters were used during training:
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  ### Training results
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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 | 0.8667 | 0.1286 | 0.8665 |
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- | No log | 0.0615 | 4 | 0.6721 | 0.0 | 0.6724 |
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- | No log | 0.0923 | 6 | 0.5799 | 0.0 | 0.5808 |
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- | No log | 0.1231 | 8 | 0.5723 | 0.0 | 0.5735 |
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- | No log | 0.1538 | 10 | 0.5882 | 0.0 | 0.5895 |
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- | No log | 0.1846 | 12 | 0.7119 | -0.0229 | 0.7129 |
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- | No log | 0.2154 | 14 | 0.5587 | 0.0032 | 0.5596 |
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- | No log | 0.2462 | 16 | 0.5222 | 0.0 | 0.5229 |
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- | No log | 0.2769 | 18 | 0.5158 | 0.0 | 0.5165 |
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- | No log | 0.3077 | 20 | 0.4875 | 0.0 | 0.4881 |
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- | No log | 0.3385 | 22 | 0.4688 | 0.0096 | 0.4693 |
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- | No log | 0.3692 | 24 | 0.4535 | 0.0190 | 0.4541 |
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- | No log | 0.4 | 26 | 0.4426 | 0.0553 | 0.4432 |
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- | No log | 0.4308 | 28 | 0.4235 | 0.1569 | 0.4238 |
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- | No log | 0.4615 | 30 | 0.4035 | 0.2237 | 0.4036 |
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- | No log | 0.4923 | 32 | 0.3861 | 0.3251 | 0.3860 |
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- | No log | 0.5231 | 34 | 0.3859 | 0.3924 | 0.3856 |
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- | No log | 0.5538 | 36 | 0.4097 | 0.3681 | 0.4092 |
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- | No log | 0.5846 | 38 | 0.3858 | 0.4320 | 0.3853 |
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- | No log | 0.6154 | 40 | 0.3829 | 0.5218 | 0.3826 |
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- | No log | 0.6462 | 42 | 0.4023 | 0.5843 | 0.4021 |
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- | No log | 0.6769 | 44 | 0.3627 | 0.5516 | 0.3623 |
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- | No log | 0.7077 | 46 | 0.3448 | 0.5242 | 0.3445 |
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- | No log | 0.7385 | 48 | 0.3390 | 0.5750 | 0.3387 |
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- | No log | 0.7692 | 50 | 0.3549 | 0.6159 | 0.3548 |
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- | No log | 0.8 | 52 | 0.3917 | 0.6282 | 0.3917 |
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- | No log | 0.8308 | 54 | 0.4120 | 0.6185 | 0.4122 |
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- | No log | 0.8615 | 56 | 0.3578 | 0.5993 | 0.3579 |
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- | No log | 0.8923 | 58 | 0.3245 | 0.5054 | 0.3244 |
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- | No log | 0.9231 | 60 | 0.3458 | 0.5575 | 0.3458 |
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- | No log | 0.9538 | 62 | 0.4763 | 0.6243 | 0.4766 |
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- | No log | 0.9846 | 64 | 0.4953 | 0.6201 | 0.4955 |
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- | No log | 1.0154 | 66 | 0.3697 | 0.5996 | 0.3697 |
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- | No log | 1.0462 | 68 | 0.3512 | 0.5810 | 0.3512 |
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- | No log | 1.0769 | 70 | 0.3414 | 0.5767 | 0.3413 |
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- | No log | 1.1077 | 72 | 0.3922 | 0.6309 | 0.3922 |
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- | No log | 1.1385 | 74 | 0.4247 | 0.6202 | 0.4247 |
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- | No log | 1.1692 | 76 | 0.3777 | 0.6191 | 0.3776 |
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- | No log | 1.2 | 78 | 0.3634 | 0.5857 | 0.3633 |
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- | No log | 1.2308 | 80 | 0.3498 | 0.5617 | 0.3495 |
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- | No log | 1.2615 | 82 | 0.3438 | 0.5763 | 0.3437 |
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- | No log | 1.2923 | 84 | 0.3736 | 0.6122 | 0.3736 |
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- | No log | 1.3231 | 86 | 0.3695 | 0.6156 | 0.3695 |
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- | No log | 1.3538 | 88 | 0.3555 | 0.6014 | 0.3554 |
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- | No log | 1.3846 | 90 | 0.3487 | 0.5962 | 0.3486 |
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- | No log | 1.4154 | 92 | 0.3489 | 0.6098 | 0.3488 |
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- | No log | 1.4462 | 94 | 0.3380 | 0.5808 | 0.3379 |
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- | No log | 1.4769 | 96 | 0.3571 | 0.6081 | 0.3572 |
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- | No log | 1.5077 | 98 | 0.3722 | 0.6171 | 0.3724 |
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- | No log | 1.5385 | 100 | 0.4097 | 0.6365 | 0.4100 |
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- | No log | 1.5692 | 102 | 0.3790 | 0.6108 | 0.3794 |
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- | No log | 1.6 | 104 | 0.3796 | 0.6035 | 0.3801 |
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- | No log | 1.6308 | 106 | 0.3557 | 0.5632 | 0.3561 |
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- | No log | 1.6615 | 108 | 0.3973 | 0.5962 | 0.3977 |
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- | No log | 1.6923 | 110 | 0.4461 | 0.6243 | 0.4465 |
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- | No log | 1.7231 | 112 | 0.4083 | 0.6133 | 0.4087 |
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- | No log | 1.7538 | 114 | 0.3984 | 0.6157 | 0.3988 |
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- | No log | 1.7846 | 116 | 0.3726 | 0.6102 | 0.3730 |
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- | No log | 1.8154 | 118 | 0.3767 | 0.5977 | 0.3771 |
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- | No log | 1.8462 | 120 | 0.4635 | 0.6273 | 0.4640 |
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- | No log | 1.8769 | 122 | 0.6099 | 0.6037 | 0.6106 |
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- | No log | 1.9077 | 124 | 0.6275 | 0.5888 | 0.6282 |
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- | No log | 1.9385 | 126 | 0.5350 | 0.6223 | 0.5356 |
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- | No log | 1.9692 | 128 | 0.4031 | 0.6213 | 0.4034 |
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- | No log | 2.0 | 130 | 0.3393 | 0.5969 | 0.3394 |
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- | No log | 2.0308 | 132 | 0.3287 | 0.5599 | 0.3288 |
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- | No log | 2.0615 | 134 | 0.3515 | 0.5897 | 0.3516 |
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- | No log | 2.0923 | 136 | 0.3996 | 0.6258 | 0.3997 |
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- | No log | 2.1231 | 138 | 0.4641 | 0.6169 | 0.4643 |
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- | No log | 2.1538 | 140 | 0.4542 | 0.6158 | 0.4544 |
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- | No log | 2.1846 | 142 | 0.4004 | 0.6351 | 0.4005 |
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- | No log | 2.2154 | 144 | 0.3401 | 0.5887 | 0.3402 |
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- | No log | 2.2462 | 146 | 0.3235 | 0.5328 | 0.3235 |
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- | No log | 2.2769 | 148 | 0.3321 | 0.5753 | 0.3321 |
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- | No log | 2.3077 | 150 | 0.3804 | 0.6323 | 0.3805 |
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- | No log | 2.3385 | 152 | 0.4133 | 0.6239 | 0.4135 |
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- | No log | 2.3692 | 154 | 0.3998 | 0.6317 | 0.4000 |
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- | No log | 2.4 | 156 | 0.3526 | 0.6064 | 0.3527 |
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- | No log | 2.4308 | 158 | 0.3562 | 0.6005 | 0.3564 |
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- | No log | 2.4615 | 160 | 0.3973 | 0.6415 | 0.3975 |
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- | No log | 2.4923 | 162 | 0.4010 | 0.6347 | 0.4012 |
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- | No log | 2.5231 | 164 | 0.3810 | 0.6306 | 0.3812 |
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- | No log | 2.5538 | 166 | 0.3914 | 0.6271 | 0.3916 |
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- | No log | 2.5846 | 168 | 0.4101 | 0.6216 | 0.4104 |
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- | No log | 2.6154 | 170 | 0.3935 | 0.6240 | 0.3938 |
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- | No log | 2.6462 | 172 | 0.3646 | 0.6070 | 0.3649 |
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- | No log | 2.6769 | 174 | 0.3806 | 0.6188 | 0.3809 |
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- | No log | 2.7077 | 176 | 0.3976 | 0.6294 | 0.3980 |
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- | No log | 2.7385 | 178 | 0.3807 | 0.6188 | 0.3810 |
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- | No log | 2.7692 | 180 | 0.3702 | 0.6231 | 0.3705 |
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- | No log | 2.8 | 182 | 0.3468 | 0.5942 | 0.3469 |
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- | No log | 2.8308 | 184 | 0.3611 | 0.6284 | 0.3613 |
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- | No log | 2.8615 | 186 | 0.3921 | 0.6324 | 0.3923 |
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- | No log | 2.8923 | 188 | 0.4505 | 0.6341 | 0.4508 |
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- | No log | 2.9231 | 190 | 0.5436 | 0.6130 | 0.5441 |
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- | No log | 2.9538 | 192 | 0.5516 | 0.5987 | 0.5521 |
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- | No log | 2.9846 | 194 | 0.4740 | 0.6272 | 0.4744 |
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- | No log | 3.0154 | 196 | 0.3665 | 0.6255 | 0.3667 |
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- | No log | 3.0462 | 198 | 0.3328 | 0.5737 | 0.3329 |
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- | No log | 3.0769 | 200 | 0.3368 | 0.5899 | 0.3369 |
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- | No log | 3.1077 | 202 | 0.3630 | 0.6250 | 0.3631 |
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- | No log | 3.1385 | 204 | 0.4167 | 0.6402 | 0.4169 |
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- | No log | 3.1692 | 206 | 0.4774 | 0.6409 | 0.4776 |
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- | No log | 3.2 | 208 | 0.4657 | 0.6437 | 0.4659 |
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- | No log | 3.2308 | 210 | 0.4932 | 0.6426 | 0.4933 |
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- | No log | 3.2615 | 212 | 0.4736 | 0.6453 | 0.4737 |
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- | No log | 3.2923 | 214 | 0.4233 | 0.6436 | 0.4234 |
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- | No log | 3.3231 | 216 | 0.4093 | 0.6436 | 0.4094 |
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- | No log | 3.3538 | 218 | 0.4126 | 0.6488 | 0.4127 |
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- | No log | 3.3846 | 220 | 0.4110 | 0.6481 | 0.4110 |
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- | No log | 3.4154 | 222 | 0.4596 | 0.6397 | 0.4597 |
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- | No log | 3.4462 | 224 | 0.4659 | 0.6426 | 0.4661 |
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- | No log | 3.4769 | 226 | 0.4215 | 0.6391 | 0.4216 |
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- | No log | 3.5077 | 228 | 0.3766 | 0.6305 | 0.3766 |
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- | No log | 3.5385 | 230 | 0.3600 | 0.6084 | 0.3600 |
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- | No log | 3.5692 | 232 | 0.3712 | 0.6256 | 0.3712 |
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- | No log | 3.6 | 234 | 0.3671 | 0.6171 | 0.3671 |
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- | No log | 3.6308 | 236 | 0.3682 | 0.6262 | 0.3683 |
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- | No log | 3.6615 | 238 | 0.3608 | 0.6184 | 0.3609 |
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- | No log | 3.6923 | 240 | 0.3834 | 0.6317 | 0.3835 |
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- | No log | 3.7231 | 242 | 0.4443 | 0.6511 | 0.4445 |
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- | No log | 3.7538 | 244 | 0.4779 | 0.6435 | 0.4781 |
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- | No log | 3.7846 | 246 | 0.4705 | 0.6442 | 0.4708 |
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- | No log | 3.8154 | 248 | 0.4286 | 0.6526 | 0.4288 |
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- | No log | 3.8462 | 250 | 0.3918 | 0.6387 | 0.3920 |
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- | No log | 3.8769 | 252 | 0.3711 | 0.6330 | 0.3712 |
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- | No log | 3.9077 | 254 | 0.3700 | 0.6284 | 0.3701 |
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- | No log | 3.9385 | 256 | 0.3633 | 0.6233 | 0.3633 |
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- | No log | 3.9692 | 258 | 0.3682 | 0.6329 | 0.3683 |
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- | No log | 4.0 | 260 | 0.3658 | 0.6262 | 0.3658 |
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- | No log | 4.0308 | 262 | 0.3922 | 0.6462 | 0.3923 |
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- | No log | 4.0615 | 264 | 0.4182 | 0.6565 | 0.4183 |
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- | No log | 4.0923 | 266 | 0.4467 | 0.6587 | 0.4468 |
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- | No log | 4.1231 | 268 | 0.4401 | 0.6663 | 0.4403 |
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- | No log | 4.1538 | 270 | 0.4293 | 0.6641 | 0.4294 |
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- | No log | 4.1846 | 272 | 0.4237 | 0.6599 | 0.4238 |
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- | No log | 4.2154 | 274 | 0.4467 | 0.6677 | 0.4468 |
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- | No log | 4.2462 | 276 | 0.4703 | 0.6726 | 0.4705 |
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- | No log | 4.2769 | 278 | 0.4826 | 0.6690 | 0.4828 |
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- | No log | 4.3077 | 280 | 0.4852 | 0.6654 | 0.4853 |
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- | No log | 4.3385 | 282 | 0.4567 | 0.6699 | 0.4568 |
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- | No log | 4.3692 | 284 | 0.4361 | 0.6591 | 0.4361 |
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- | No log | 4.4 | 286 | 0.4165 | 0.6535 | 0.4165 |
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- | No log | 4.4308 | 288 | 0.4167 | 0.6511 | 0.4168 |
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- | No log | 4.4615 | 290 | 0.4213 | 0.6524 | 0.4213 |
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- | No log | 4.4923 | 292 | 0.4168 | 0.6545 | 0.4168 |
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- | No log | 4.5231 | 294 | 0.4303 | 0.6461 | 0.4304 |
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- | No log | 4.5538 | 296 | 0.4488 | 0.6557 | 0.4490 |
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- | No log | 4.5846 | 298 | 0.4573 | 0.6534 | 0.4574 |
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- | No log | 4.6154 | 300 | 0.4809 | 0.6570 | 0.4811 |
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- | No log | 4.6462 | 302 | 0.4878 | 0.6538 | 0.4881 |
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- | No log | 4.6769 | 304 | 0.4771 | 0.6499 | 0.4773 |
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- | No log | 4.7077 | 306 | 0.4567 | 0.6516 | 0.4569 |
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- | No log | 4.7385 | 308 | 0.4453 | 0.6494 | 0.4455 |
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- | No log | 4.7692 | 310 | 0.4356 | 0.6487 | 0.4358 |
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- | No log | 4.8 | 312 | 0.4348 | 0.6465 | 0.4349 |
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- | No log | 4.8308 | 314 | 0.4349 | 0.6465 | 0.4351 |
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- | No log | 4.8615 | 316 | 0.4350 | 0.6458 | 0.4352 |
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- | No log | 4.8923 | 318 | 0.4341 | 0.6497 | 0.4343 |
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- | No log | 4.9231 | 320 | 0.4312 | 0.6504 | 0.4313 |
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- | No log | 4.9538 | 322 | 0.4310 | 0.6504 | 0.4312 |
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- | No log | 4.9846 | 324 | 0.4310 | 0.6497 | 0.4312 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
6
  model-index:
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+ - name: bert_baseline_language_task3_fold3
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  results: []
9
  ---
10
 
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  <!-- 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_language_task3_fold3
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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: 0.3641
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+ - Qwk: 0.6679
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+ - Mse: 0.3649
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  ## Model description
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46
 
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  ### Training results
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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 | 0.8306 | 0.1251 | 0.8302 |
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+ | No log | 0.0615 | 4 | 0.6714 | 0.0129 | 0.6712 |
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+ | No log | 0.0923 | 6 | 0.5734 | 0.0099 | 0.5733 |
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+ | No log | 0.1231 | 8 | 0.5391 | 0.0 | 0.5393 |
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+ | No log | 0.1538 | 10 | 0.5546 | 0.0 | 0.5548 |
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+ | No log | 0.1846 | 12 | 0.5052 | 0.0 | 0.5056 |
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+ | No log | 0.2154 | 14 | 0.4823 | 0.0099 | 0.4826 |
58
+ | No log | 0.2462 | 16 | 0.4737 | 0.0785 | 0.4741 |
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+ | No log | 0.2769 | 18 | 0.4572 | 0.2068 | 0.4577 |
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+ | No log | 0.3077 | 20 | 0.4337 | 0.3354 | 0.4342 |
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+ | No log | 0.3385 | 22 | 0.4440 | 0.4915 | 0.4447 |
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+ | No log | 0.3692 | 24 | 0.4478 | 0.5378 | 0.4486 |
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+ | No log | 0.4 | 26 | 0.4114 | 0.5344 | 0.4120 |
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+ | No log | 0.4308 | 28 | 0.3993 | 0.4289 | 0.3999 |
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+ | No log | 0.4615 | 30 | 0.4059 | 0.3404 | 0.4062 |
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+ | No log | 0.4923 | 32 | 0.3825 | 0.4644 | 0.3830 |
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+ | No log | 0.5231 | 34 | 0.5125 | 0.6055 | 0.5136 |
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+ | No log | 0.5538 | 36 | 0.5777 | 0.6026 | 0.5791 |
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+ | No log | 0.5846 | 38 | 0.5047 | 0.6024 | 0.5059 |
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+ | No log | 0.6154 | 40 | 0.3807 | 0.5499 | 0.3814 |
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+ | No log | 0.6462 | 42 | 0.3562 | 0.5243 | 0.3567 |
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+ | No log | 0.6769 | 44 | 0.3538 | 0.5252 | 0.3543 |
73
+ | No log | 0.7077 | 46 | 0.3781 | 0.5832 | 0.3789 |
74
+ | No log | 0.7385 | 48 | 0.4093 | 0.6070 | 0.4102 |
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+ | No log | 0.7692 | 50 | 0.4201 | 0.6186 | 0.4211 |
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+ | No log | 0.8 | 52 | 0.3967 | 0.6138 | 0.3976 |
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+ | No log | 0.8308 | 54 | 0.3672 | 0.6082 | 0.3679 |
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+ | No log | 0.8615 | 56 | 0.3377 | 0.5356 | 0.3381 |
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+ | No log | 0.8923 | 58 | 0.3798 | 0.3861 | 0.3797 |
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+ | No log | 0.9231 | 60 | 0.3843 | 0.3592 | 0.3841 |
81
+ | No log | 0.9538 | 62 | 0.3314 | 0.4222 | 0.3316 |
82
+ | No log | 0.9846 | 64 | 0.3160 | 0.5263 | 0.3165 |
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+ | No log | 1.0154 | 66 | 0.3763 | 0.6104 | 0.3773 |
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+ | No log | 1.0462 | 68 | 0.4321 | 0.6350 | 0.4332 |
85
+ | No log | 1.0769 | 70 | 0.3996 | 0.6316 | 0.4007 |
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+ | No log | 1.1077 | 72 | 0.3290 | 0.5336 | 0.3297 |
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+ | No log | 1.1385 | 74 | 0.3185 | 0.4143 | 0.3188 |
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+ | No log | 1.1692 | 76 | 0.3147 | 0.4391 | 0.3150 |
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+ | No log | 1.2 | 78 | 0.3078 | 0.5279 | 0.3083 |
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+ | No log | 1.2308 | 80 | 0.3069 | 0.5593 | 0.3075 |
91
+ | No log | 1.2615 | 82 | 0.3144 | 0.5810 | 0.3151 |
92
+ | No log | 1.2923 | 84 | 0.3365 | 0.6023 | 0.3373 |
93
+ | No log | 1.3231 | 86 | 0.3249 | 0.5561 | 0.3255 |
94
+ | No log | 1.3538 | 88 | 0.3339 | 0.4817 | 0.3342 |
95
+ | No log | 1.3846 | 90 | 0.3238 | 0.5266 | 0.3242 |
96
+ | No log | 1.4154 | 92 | 0.3559 | 0.6035 | 0.3569 |
97
+ | No log | 1.4462 | 94 | 0.4087 | 0.6601 | 0.4100 |
98
+ | No log | 1.4769 | 96 | 0.4345 | 0.6539 | 0.4359 |
99
+ | No log | 1.5077 | 98 | 0.4370 | 0.6555 | 0.4384 |
100
+ | No log | 1.5385 | 100 | 0.3598 | 0.6397 | 0.3609 |
101
+ | No log | 1.5692 | 102 | 0.3039 | 0.5583 | 0.3044 |
102
+ | No log | 1.6 | 104 | 0.2976 | 0.5335 | 0.2980 |
103
+ | No log | 1.6308 | 106 | 0.3030 | 0.5666 | 0.3036 |
104
+ | No log | 1.6615 | 108 | 0.3040 | 0.5691 | 0.3046 |
105
+ | No log | 1.6923 | 110 | 0.3130 | 0.5853 | 0.3137 |
106
+ | No log | 1.7231 | 112 | 0.3382 | 0.6151 | 0.3391 |
107
+ | No log | 1.7538 | 114 | 0.3543 | 0.6348 | 0.3554 |
108
+ | No log | 1.7846 | 116 | 0.3649 | 0.6422 | 0.3660 |
109
+ | No log | 1.8154 | 118 | 0.3698 | 0.6487 | 0.3709 |
110
+ | No log | 1.8462 | 120 | 0.3528 | 0.6447 | 0.3538 |
111
+ | No log | 1.8769 | 122 | 0.3751 | 0.6637 | 0.3762 |
112
+ | No log | 1.9077 | 124 | 0.3971 | 0.6610 | 0.3983 |
113
+ | No log | 1.9385 | 126 | 0.3565 | 0.6653 | 0.3575 |
114
+ | No log | 1.9692 | 128 | 0.3034 | 0.5766 | 0.3040 |
115
+ | No log | 2.0 | 130 | 0.2948 | 0.5480 | 0.2954 |
116
+ | No log | 2.0308 | 132 | 0.3070 | 0.5827 | 0.3077 |
117
+ | No log | 2.0615 | 134 | 0.3637 | 0.6566 | 0.3647 |
118
+ | No log | 2.0923 | 136 | 0.4103 | 0.6631 | 0.4115 |
119
+ | No log | 2.1231 | 138 | 0.4045 | 0.6643 | 0.4057 |
120
+ | No log | 2.1538 | 140 | 0.3552 | 0.6667 | 0.3561 |
121
+ | No log | 2.1846 | 142 | 0.3109 | 0.5513 | 0.3113 |
122
+ | No log | 2.2154 | 144 | 0.3670 | 0.4582 | 0.3669 |
123
+ | No log | 2.2462 | 146 | 0.3712 | 0.4662 | 0.3711 |
124
+ | No log | 2.2769 | 148 | 0.3292 | 0.5312 | 0.3295 |
125
+ | No log | 2.3077 | 150 | 0.3480 | 0.6310 | 0.3488 |
126
+ | No log | 2.3385 | 152 | 0.3888 | 0.6526 | 0.3900 |
127
+ | No log | 2.3692 | 154 | 0.4500 | 0.6605 | 0.4514 |
128
+ | No log | 2.4 | 156 | 0.4250 | 0.6620 | 0.4263 |
129
+ | No log | 2.4308 | 158 | 0.3710 | 0.6552 | 0.3720 |
130
+ | No log | 2.4615 | 160 | 0.3132 | 0.6115 | 0.3138 |
131
+ | No log | 2.4923 | 162 | 0.2975 | 0.5737 | 0.2980 |
132
+ | No log | 2.5231 | 164 | 0.2938 | 0.5846 | 0.2944 |
133
+ | No log | 2.5538 | 166 | 0.3015 | 0.6116 | 0.3022 |
134
+ | No log | 2.5846 | 168 | 0.3224 | 0.6264 | 0.3231 |
135
+ | No log | 2.6154 | 170 | 0.3834 | 0.6689 | 0.3845 |
136
+ | No log | 2.6462 | 172 | 0.4118 | 0.6639 | 0.4130 |
137
+ | No log | 2.6769 | 174 | 0.3792 | 0.6745 | 0.3802 |
138
+ | No log | 2.7077 | 176 | 0.3231 | 0.6318 | 0.3239 |
139
+ | No log | 2.7385 | 178 | 0.2894 | 0.5780 | 0.2898 |
140
+ | No log | 2.7692 | 180 | 0.2889 | 0.5501 | 0.2892 |
141
+ | No log | 2.8 | 182 | 0.3062 | 0.6314 | 0.3068 |
142
+ | No log | 2.8308 | 184 | 0.3842 | 0.6697 | 0.3852 |
143
+ | No log | 2.8615 | 186 | 0.4438 | 0.6625 | 0.4451 |
144
+ | No log | 2.8923 | 188 | 0.4239 | 0.6741 | 0.4251 |
145
+ | No log | 2.9231 | 190 | 0.3771 | 0.6622 | 0.3782 |
146
+ | No log | 2.9538 | 192 | 0.3535 | 0.6459 | 0.3544 |
147
+ | No log | 2.9846 | 194 | 0.3286 | 0.6182 | 0.3293 |
148
+ | No log | 3.0154 | 196 | 0.3348 | 0.6233 | 0.3356 |
149
+ | No log | 3.0462 | 198 | 0.3786 | 0.6738 | 0.3796 |
150
+ | No log | 3.0769 | 200 | 0.4293 | 0.6788 | 0.4306 |
151
+ | No log | 3.1077 | 202 | 0.4096 | 0.6720 | 0.4108 |
152
+ | No log | 3.1385 | 204 | 0.3490 | 0.6591 | 0.3498 |
153
+ | No log | 3.1692 | 206 | 0.3197 | 0.6380 | 0.3203 |
154
+ | No log | 3.2 | 208 | 0.3003 | 0.5838 | 0.3007 |
155
+ | No log | 3.2308 | 210 | 0.2955 | 0.5548 | 0.2959 |
156
+ | No log | 3.2615 | 212 | 0.2989 | 0.5682 | 0.2994 |
157
+ | No log | 3.2923 | 214 | 0.3209 | 0.6273 | 0.3215 |
158
+ | No log | 3.3231 | 216 | 0.3816 | 0.6754 | 0.3825 |
159
+ | No log | 3.3538 | 218 | 0.4800 | 0.6771 | 0.4813 |
160
+ | No log | 3.3846 | 220 | 0.5092 | 0.6806 | 0.5106 |
161
+ | No log | 3.4154 | 222 | 0.4528 | 0.6903 | 0.4539 |
162
+ | No log | 3.4462 | 224 | 0.3572 | 0.6482 | 0.3579 |
163
+ | No log | 3.4769 | 226 | 0.3218 | 0.6212 | 0.3223 |
164
+ | No log | 3.5077 | 228 | 0.3252 | 0.6340 | 0.3257 |
165
+ | No log | 3.5385 | 230 | 0.3529 | 0.6686 | 0.3537 |
166
+ | No log | 3.5692 | 232 | 0.4101 | 0.6885 | 0.4112 |
167
+ | No log | 3.6 | 234 | 0.4086 | 0.6840 | 0.4096 |
168
+ | No log | 3.6308 | 236 | 0.3599 | 0.6712 | 0.3607 |
169
+ | No log | 3.6615 | 238 | 0.3240 | 0.6440 | 0.3246 |
170
+ | No log | 3.6923 | 240 | 0.3211 | 0.6373 | 0.3217 |
171
+ | No log | 3.7231 | 242 | 0.3433 | 0.6565 | 0.3440 |
172
+ | No log | 3.7538 | 244 | 0.3885 | 0.6755 | 0.3895 |
173
+ | No log | 3.7846 | 246 | 0.4180 | 0.6726 | 0.4191 |
174
+ | No log | 3.8154 | 248 | 0.4314 | 0.6774 | 0.4326 |
175
+ | No log | 3.8462 | 250 | 0.4021 | 0.6798 | 0.4031 |
176
+ | No log | 3.8769 | 252 | 0.3549 | 0.6614 | 0.3557 |
177
+ | No log | 3.9077 | 254 | 0.3336 | 0.6568 | 0.3343 |
178
+ | No log | 3.9385 | 256 | 0.3341 | 0.6591 | 0.3348 |
179
+ | No log | 3.9692 | 258 | 0.3482 | 0.6618 | 0.3489 |
180
+ | No log | 4.0 | 260 | 0.3594 | 0.6665 | 0.3602 |
181
+ | No log | 4.0308 | 262 | 0.3616 | 0.6613 | 0.3624 |
182
+ | No log | 4.0615 | 264 | 0.3774 | 0.6586 | 0.3782 |
183
+ | No log | 4.0923 | 266 | 0.3964 | 0.6596 | 0.3974 |
184
+ | No log | 4.1231 | 268 | 0.3869 | 0.6655 | 0.3878 |
185
+ | No log | 4.1538 | 270 | 0.3862 | 0.6623 | 0.3871 |
186
+ | No log | 4.1846 | 272 | 0.3721 | 0.6554 | 0.3729 |
187
+ | No log | 4.2154 | 274 | 0.3661 | 0.6583 | 0.3669 |
188
+ | No log | 4.2462 | 276 | 0.3606 | 0.6623 | 0.3614 |
189
+ | No log | 4.2769 | 278 | 0.3679 | 0.6590 | 0.3687 |
190
+ | No log | 4.3077 | 280 | 0.3805 | 0.6565 | 0.3814 |
191
+ | No log | 4.3385 | 282 | 0.3757 | 0.6586 | 0.3766 |
192
+ | No log | 4.3692 | 284 | 0.3656 | 0.6621 | 0.3664 |
193
+ | No log | 4.4 | 286 | 0.3581 | 0.6565 | 0.3589 |
194
+ | No log | 4.4308 | 288 | 0.3514 | 0.6586 | 0.3521 |
195
+ | No log | 4.4615 | 290 | 0.3543 | 0.6602 | 0.3550 |
196
+ | No log | 4.4923 | 292 | 0.3532 | 0.6565 | 0.3539 |
197
+ | No log | 4.5231 | 294 | 0.3648 | 0.6648 | 0.3656 |
198
+ | No log | 4.5538 | 296 | 0.3731 | 0.6710 | 0.3739 |
199
+ | No log | 4.5846 | 298 | 0.3856 | 0.6712 | 0.3865 |
200
+ | No log | 4.6154 | 300 | 0.4048 | 0.6726 | 0.4057 |
201
+ | No log | 4.6462 | 302 | 0.4102 | 0.6772 | 0.4112 |
202
+ | No log | 4.6769 | 304 | 0.4119 | 0.6803 | 0.4129 |
203
+ | No log | 4.7077 | 306 | 0.4111 | 0.6811 | 0.4121 |
204
+ | No log | 4.7385 | 308 | 0.4052 | 0.6735 | 0.4062 |
205
+ | No log | 4.7692 | 310 | 0.3954 | 0.6753 | 0.3964 |
206
+ | No log | 4.8 | 312 | 0.3905 | 0.6730 | 0.3914 |
207
+ | No log | 4.8308 | 314 | 0.3836 | 0.6670 | 0.3845 |
208
+ | No log | 4.8615 | 316 | 0.3768 | 0.6640 | 0.3777 |
209
+ | No log | 4.8923 | 318 | 0.3712 | 0.6697 | 0.3721 |
210
+ | No log | 4.9231 | 320 | 0.3676 | 0.6679 | 0.3684 |
211
+ | No log | 4.9538 | 322 | 0.3652 | 0.6679 | 0.3660 |
212
+ | No log | 4.9846 | 324 | 0.3641 | 0.6679 | 0.3649 |
213
 
214
 
215
  ### Framework versions