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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: 0.6577
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- - Validation Loss: 1.0658
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- - Train Overall Precision: 0.4760
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- - Train Overall Recall: 0.5625
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- - Train Overall F1: 0.5156
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- - Train Overall Accuracy: 0.6305
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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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  | 0.8868 | 1.0295 | 0.4061 | 0.5569 | 0.4697 | 0.6159 | 4 |
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  | 0.7747 | 1.1882 | 0.4507 | 0.5625 | 0.5004 | 0.6062 | 5 |
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  | 0.6577 | 1.0658 | 0.4760 | 0.5625 | 0.5156 | 0.6305 | 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: 0.5535
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+ - Validation Loss: 1.2985
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+ - Train Overall Precision: 0.4855
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+ - Train Overall Recall: 0.5705
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+ - Train Overall F1: 0.5246
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+ - Train Overall Accuracy: 0.6026
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+ - Epoch: 7
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  ## Model description
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  | 0.8868 | 1.0295 | 0.4061 | 0.5569 | 0.4697 | 0.6159 | 4 |
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  | 0.7747 | 1.1882 | 0.4507 | 0.5625 | 0.5004 | 0.6062 | 5 |
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  | 0.6577 | 1.0658 | 0.4760 | 0.5625 | 0.5156 | 0.6305 | 6 |
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+ | 0.5535 | 1.2985 | 0.4855 | 0.5705 | 0.5246 | 0.6026 | 7 |
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  ### Framework versions
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