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Training in progress epoch 7

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README.md CHANGED
@@ -15,13 +15,13 @@ 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: 0.3135
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- - Validation Loss: 0.6776
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- - Train Overall Precision: 0.7324
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- - Train Overall Recall: 0.7787
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- - Train Overall F1: 0.7549
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- - Train Overall Accuracy: 0.8006
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- - Epoch: 6
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  ## Model description
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@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
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  | 0.4477 | 0.6255 | 0.7062 | 0.7998 | 0.7501 | 0.8006 | 4 |
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  | 0.3644 | 0.6378 | 0.7339 | 0.7903 | 0.7611 | 0.8174 | 5 |
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  | 0.3135 | 0.6776 | 0.7324 | 0.7787 | 0.7549 | 0.8006 | 6 |
 
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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: 0.2719
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+ - Validation Loss: 0.6616
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+ - Train Overall Precision: 0.7394
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+ - Train Overall Recall: 0.7858
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+ - Train Overall F1: 0.7619
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+ - Train Overall Accuracy: 0.8104
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+ - Epoch: 7
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  ## Model description
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  | 0.4477 | 0.6255 | 0.7062 | 0.7998 | 0.7501 | 0.8006 | 4 |
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  | 0.3644 | 0.6378 | 0.7339 | 0.7903 | 0.7611 | 0.8174 | 5 |
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  | 0.3135 | 0.6776 | 0.7324 | 0.7787 | 0.7549 | 0.8006 | 6 |
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+ | 0.2719 | 0.6616 | 0.7394 | 0.7858 | 0.7619 | 0.8104 | 7 |
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  ### Framework versions
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