ikmalalfaozi commited on
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Training in progress epoch 2

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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: 1.0901
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- - Validation Loss: 0.8303
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- - Train Overall Precision: 0.6013
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- - Train Overall Recall: 0.6508
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- - Train Overall F1: 0.6251
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- - Train Overall Accuracy: 0.7392
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- - Epoch: 1
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  ## Model description
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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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  | 1.6546 | 1.3264 | 0.3384 | 0.3708 | 0.3538 | 0.5774 | 0 |
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  | 1.0901 | 0.8303 | 0.6013 | 0.6508 | 0.6251 | 0.7392 | 1 |
 
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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: 0.7169
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+ - Validation Loss: 0.6666
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+ - Train Overall Precision: 0.6778
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+ - Train Overall Recall: 0.7441
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+ - Train Overall F1: 0.7094
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+ - Train Overall Accuracy: 0.7864
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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  | 1.6546 | 1.3264 | 0.3384 | 0.3708 | 0.3538 | 0.5774 | 0 |
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  | 1.0901 | 0.8303 | 0.6013 | 0.6508 | 0.6251 | 0.7392 | 1 |
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+ | 0.7169 | 0.6666 | 0.6778 | 0.7441 | 0.7094 | 0.7864 | 2 |
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  ### Framework versions
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