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Training in progress epoch 5

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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: 0.8937
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- - Validation Loss: 1.0652
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- - Train Overall Precision: 0.4460
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- - Train Overall Recall: 0.5569
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- - Train Overall F1: 0.4953
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- - Train Overall Accuracy: 0.6060
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- - Epoch: 4
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  ## Model description
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@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
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  | 1.1412 | 1.1634 | 0.3303 | 0.5028 | 0.3986 | 0.5209 | 2 |
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  | 1.0429 | 1.1068 | 0.3727 | 0.5289 | 0.4373 | 0.5592 | 3 |
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  | 0.8937 | 1.0652 | 0.4460 | 0.5569 | 0.4953 | 0.6060 | 4 |
 
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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: 0.7579
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+ - Validation Loss: 1.0765
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+ - Train Overall Precision: 0.4660
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+ - Train Overall Recall: 0.5640
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+ - Train Overall F1: 0.5103
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+ - Train Overall Accuracy: 0.5983
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+ - Epoch: 5
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  ## Model description
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  | 1.1412 | 1.1634 | 0.3303 | 0.5028 | 0.3986 | 0.5209 | 2 |
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  | 1.0429 | 1.1068 | 0.3727 | 0.5289 | 0.4373 | 0.5592 | 3 |
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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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  ### Framework versions
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