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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: 1.0364
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- - Validation Loss: 1.1800
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- - Train Overall Precision: 0.3293
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- - Train Overall Recall: 0.5073
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- - Train Overall F1: 0.3994
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- - Train Overall Accuracy: 0.5604
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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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  | 1.2693 | 1.2622 | 0.2985 | 0.4947 | 0.3724 | 0.4693 | 2 |
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  | 1.1369 | 1.0729 | 0.3617 | 0.4887 | 0.4157 | 0.5902 | 3 |
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  | 1.0364 | 1.1800 | 0.3293 | 0.5073 | 0.3994 | 0.5604 | 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: 0.9327
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+ - Validation Loss: 1.2033
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+ - Train Overall Precision: 0.3938
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+ - Train Overall Recall: 0.5268
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+ - Train Overall F1: 0.4507
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+ - Train Overall Accuracy: 0.5683
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+ - Epoch: 5
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  ## Model description
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  | 1.2693 | 1.2622 | 0.2985 | 0.4947 | 0.3724 | 0.4693 | 2 |
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  | 1.1369 | 1.0729 | 0.3617 | 0.4887 | 0.4157 | 0.5902 | 3 |
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  | 1.0364 | 1.1800 | 0.3293 | 0.5073 | 0.3994 | 0.5604 | 4 |
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+ | 0.9327 | 1.2033 | 0.3938 | 0.5268 | 0.4507 | 0.5683 | 5 |
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  ### Framework versions
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