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BERT_large_with_preprocessing_grid_search

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@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8575
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- - Precision: 0.8355
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- - Recall: 0.8484
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- - F1: 0.8401
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  - Accuracy: 0.8753
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 1.0054 | 1.0 | 510 | 0.6756 | 0.7428 | 0.8093 | 0.7561 | 0.8095 |
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- | 0.4708 | 2.0 | 1020 | 0.5588 | 0.7870 | 0.8473 | 0.8101 | 0.8419 |
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- | 0.2992 | 3.0 | 1530 | 0.5928 | 0.8114 | 0.8595 | 0.8286 | 0.8660 |
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- | 0.2202 | 4.0 | 2040 | 0.6855 | 0.8465 | 0.8468 | 0.8452 | 0.8729 |
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- | 0.149 | 5.0 | 2550 | 0.6949 | 0.8136 | 0.8565 | 0.8324 | 0.8689 |
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- | 0.1246 | 6.0 | 3060 | 0.7984 | 0.8290 | 0.8518 | 0.8393 | 0.8719 |
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- | 0.0958 | 7.0 | 3570 | 0.7819 | 0.8326 | 0.8478 | 0.8391 | 0.8694 |
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- | 0.0922 | 8.0 | 4080 | 0.8141 | 0.8263 | 0.8486 | 0.8358 | 0.8724 |
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- | 0.0658 | 9.0 | 4590 | 0.8614 | 0.8472 | 0.8508 | 0.8476 | 0.8797 |
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- | 0.0662 | 10.0 | 5100 | 0.8575 | 0.8355 | 0.8484 | 0.8401 | 0.8753 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0365
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+ - Precision: 0.8410
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+ - Recall: 0.8308
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+ - F1: 0.8352
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  - Accuracy: 0.8753
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.9616 | 1.0 | 510 | 0.6482 | 0.7704 | 0.8009 | 0.7781 | 0.8360 |
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+ | 0.4395 | 2.0 | 1020 | 0.7507 | 0.8422 | 0.7993 | 0.8157 | 0.8552 |
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+ | 0.2995 | 3.0 | 1530 | 0.7064 | 0.8445 | 0.8213 | 0.8287 | 0.8684 |
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+ | 0.2117 | 4.0 | 2040 | 0.7889 | 0.8262 | 0.8325 | 0.8245 | 0.8679 |
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+ | 0.1805 | 5.0 | 2550 | 0.9295 | 0.8406 | 0.8161 | 0.8271 | 0.8670 |
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+ | 0.1225 | 6.0 | 3060 | 0.9491 | 0.8429 | 0.8260 | 0.8333 | 0.8758 |
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+ | 0.0983 | 7.0 | 3570 | 0.9901 | 0.8444 | 0.8299 | 0.8359 | 0.8773 |
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+ | 0.0869 | 8.0 | 4080 | 1.0300 | 0.8377 | 0.8278 | 0.8319 | 0.8719 |
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+ | 0.0745 | 9.0 | 4590 | 1.0220 | 0.8439 | 0.8341 | 0.8379 | 0.8773 |
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+ | 0.0591 | 10.0 | 5100 | 1.0365 | 0.8410 | 0.8308 | 0.8352 | 0.8753 |
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  ### Framework versions