minhvuquang317 commited on
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Training in progress epoch 6

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README.md CHANGED
@@ -13,13 +13,13 @@ 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: 0.6195
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- - Validation Loss: 0.6630
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- - Train Overall Precision: 0.6844
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- - Train Overall Recall: 0.7692
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- - Train Overall F1: 0.7243
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- - Train Overall Accuracy: 0.7949
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- - Epoch: 3
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  ## Model description
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@@ -49,6 +49,9 @@ The following hyperparameters were used during training:
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  | 1.1465 | 0.8828 | 0.5819 | 0.6433 | 0.6111 | 0.7324 | 1 |
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  | 0.7878 | 0.7302 | 0.6497 | 0.7240 | 0.6849 | 0.7791 | 2 |
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  | 0.6195 | 0.6630 | 0.6844 | 0.7692 | 0.7243 | 0.7949 | 3 |
 
 
 
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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: 0.3479
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+ - Validation Loss: 0.6233
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+ - Train Overall Precision: 0.7275
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+ - Train Overall Recall: 0.7702
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+ - Train Overall F1: 0.7482
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+ - Train Overall Accuracy: 0.8127
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+ - Epoch: 6
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  ## Model description
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  | 1.1465 | 0.8828 | 0.5819 | 0.6433 | 0.6111 | 0.7324 | 1 |
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  | 0.7878 | 0.7302 | 0.6497 | 0.7240 | 0.6849 | 0.7791 | 2 |
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  | 0.6195 | 0.6630 | 0.6844 | 0.7692 | 0.7243 | 0.7949 | 3 |
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+ | 0.5031 | 0.6265 | 0.6929 | 0.7903 | 0.7384 | 0.8112 | 4 |
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+ | 0.4202 | 0.6244 | 0.7329 | 0.7863 | 0.7587 | 0.8124 | 5 |
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+ | 0.3479 | 0.6233 | 0.7275 | 0.7702 | 0.7482 | 0.8127 | 6 |
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  ### Framework versions
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