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Training in progress epoch 20

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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: 0.2266
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- - Validation Loss: 1.3596
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- - Train Overall Precision: 0.5149
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- - Train Overall Recall: 0.5800
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- - Train Overall F1: 0.5455
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- - Train Overall Accuracy: 0.6395
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- - Epoch: 19
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  ## Model description
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@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
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  | 0.2716 | 1.1890 | 0.5134 | 0.5850 | 0.5469 | 0.6536 | 17 |
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  | 0.2638 | 1.3274 | 0.5024 | 0.5795 | 0.5382 | 0.6306 | 18 |
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  | 0.2266 | 1.3596 | 0.5149 | 0.5800 | 0.5455 | 0.6395 | 19 |
 
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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: 0.2354
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+ - Validation Loss: 1.2861
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+ - Train Overall Precision: 0.5106
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+ - Train Overall Recall: 0.5911
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+ - Train Overall F1: 0.5479
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+ - Train Overall Accuracy: 0.6490
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+ - Epoch: 20
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  ## Model description
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  | 0.2716 | 1.1890 | 0.5134 | 0.5850 | 0.5469 | 0.6536 | 17 |
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  | 0.2638 | 1.3274 | 0.5024 | 0.5795 | 0.5382 | 0.6306 | 18 |
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  | 0.2266 | 1.3596 | 0.5149 | 0.5800 | 0.5455 | 0.6395 | 19 |
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+ | 0.2354 | 1.2861 | 0.5106 | 0.5911 | 0.5479 | 0.6490 | 20 |
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  ### Framework versions
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