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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: 0.7126
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- - Validation Loss: 1.1322
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- - Train Overall Precision: 0.4677
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- - Train Overall Recall: 0.5845
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- - Train Overall F1: 0.5196
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- - Train Overall Accuracy: 0.6209
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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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  | 0.8937 | 1.0652 | 0.4460 | 0.5569 | 0.4953 | 0.6060 | 4 |
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  | 0.7579 | 1.0765 | 0.4660 | 0.5640 | 0.5103 | 0.5983 | 5 |
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  | 0.7126 | 1.1322 | 0.4677 | 0.5845 | 0.5196 | 0.6209 | 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: 0.6164
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+ - Validation Loss: 1.0914
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+ - Train Overall Precision: 0.4921
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+ - Train Overall Recall: 0.5178
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+ - Train Overall F1: 0.5046
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+ - Train Overall Accuracy: 0.6136
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+ - Epoch: 7
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  ## Model description
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  | 0.8937 | 1.0652 | 0.4460 | 0.5569 | 0.4953 | 0.6060 | 4 |
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  | 0.7579 | 1.0765 | 0.4660 | 0.5640 | 0.5103 | 0.5983 | 5 |
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  | 0.7126 | 1.1322 | 0.4677 | 0.5845 | 0.5196 | 0.6209 | 6 |
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+ | 0.6164 | 1.0914 | 0.4921 | 0.5178 | 0.5046 | 0.6136 | 7 |
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  ### Framework versions
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