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End of training

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README.md CHANGED
@@ -13,13 +13,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.7300
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- - Validation Loss: 1.4338
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- - Train Overall Precision: 0.1989
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- - Train Overall Recall: 0.2313
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- - Train Overall F1: 0.2139
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- - Train Overall Accuracy: 0.5265
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- - Epoch: 0
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  ## Model description
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@@ -46,6 +46,13 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
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  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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  | 1.7300 | 1.4338 | 0.1989 | 0.2313 | 0.2139 | 0.5265 | 0 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.2477
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+ - Validation Loss: 0.7106
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+ - Train Overall Precision: 0.7360
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+ - Train Overall Recall: 0.7918
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+ - Train Overall F1: 0.7629
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+ - Train Overall Accuracy: 0.7983
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+ - Epoch: 7
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  ## Model description
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  | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
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  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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  | 1.7300 | 1.4338 | 0.1989 | 0.2313 | 0.2139 | 0.5265 | 0 |
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+ | 1.1984 | 0.8999 | 0.5775 | 0.5795 | 0.5785 | 0.7162 | 1 |
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+ | 0.7785 | 0.7393 | 0.6713 | 0.7040 | 0.6872 | 0.7634 | 2 |
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+ | 0.5666 | 0.6416 | 0.7113 | 0.7617 | 0.7356 | 0.7961 | 3 |
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+ | 0.4447 | 0.6454 | 0.7165 | 0.7737 | 0.7440 | 0.8003 | 4 |
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+ | 0.3647 | 0.6500 | 0.7353 | 0.7832 | 0.7585 | 0.8091 | 5 |
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+ | 0.3044 | 0.6587 | 0.7266 | 0.8053 | 0.7639 | 0.8119 | 6 |
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+ | 0.2477 | 0.7106 | 0.7360 | 0.7918 | 0.7629 | 0.7983 | 7 |
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  ### Framework versions
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