mahithabsl commited on
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Training in progress epoch 2

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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: 1.2040
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- - Validation Loss: 0.9290
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- - Train Overall Precision: 0.5253
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- - Train Overall Recall: 0.6051
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- - Train Overall F1: 0.5624
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- - Train Overall Accuracy: 0.7138
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- - Epoch: 1
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  ## Model description
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@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
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  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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  | 1.7368 | 1.4201 | 0.2646 | 0.3051 | 0.2834 | 0.5163 | 0 |
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  | 1.2040 | 0.9290 | 0.5253 | 0.6051 | 0.5624 | 0.7138 | 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: 0.8330
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+ - Validation Loss: 0.8307
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+ - Train Overall Precision: 0.5912
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+ - Train Overall Recall: 0.7010
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+ - Train Overall F1: 0.6414
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+ - Train Overall Accuracy: 0.7294
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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  | 1.7368 | 1.4201 | 0.2646 | 0.3051 | 0.2834 | 0.5163 | 0 |
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  | 1.2040 | 0.9290 | 0.5253 | 0.6051 | 0.5624 | 0.7138 | 1 |
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+ | 0.8330 | 0.8307 | 0.5912 | 0.7010 | 0.6414 | 0.7294 | 2 |
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  ### Framework versions
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