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Training in progress epoch 7

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README.md CHANGED
@@ -14,13 +14,13 @@ 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: 0.3083
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- - Validation Loss: 0.6780
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- - Train Overall Precision: 0.7175
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- - Train Overall Recall: 0.7978
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- - Train Overall F1: 0.7555
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- - Train Overall Accuracy: 0.8010
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- - Epoch: 6
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  ## Model description
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@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
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  | 0.4676 | 0.6148 | 0.7246 | 0.7842 | 0.7533 | 0.8096 | 4 |
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  | 0.3782 | 0.6263 | 0.7230 | 0.8028 | 0.7608 | 0.8140 | 5 |
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  | 0.3083 | 0.6780 | 0.7175 | 0.7978 | 0.7555 | 0.8010 | 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: 0.2579
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+ - Validation Loss: 0.6970
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+ - Train Overall Precision: 0.7286
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+ - Train Overall Recall: 0.8003
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+ - Train Overall F1: 0.7628
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+ - Train Overall Accuracy: 0.8045
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+ - Epoch: 7
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  ## Model description
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  | 0.4676 | 0.6148 | 0.7246 | 0.7842 | 0.7533 | 0.8096 | 4 |
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  | 0.3782 | 0.6263 | 0.7230 | 0.8028 | 0.7608 | 0.8140 | 5 |
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  | 0.3083 | 0.6780 | 0.7175 | 0.7978 | 0.7555 | 0.8010 | 6 |
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+ | 0.2579 | 0.6970 | 0.7286 | 0.8003 | 0.7628 | 0.8045 | 7 |
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  ### Framework versions
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