Shridharam commited on
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732a659
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Training in progress epoch 7

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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: 0.7552
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- - Validation Loss: 1.0872
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- - Train Overall Precision: 0.4571
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- - Train Overall Recall: 0.5449
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- - Train Overall F1: 0.4971
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- - Train Overall Accuracy: 0.6268
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- - Epoch: 6
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  ## Model description
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@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
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  | 1.0126 | 1.0670 | 0.4183 | 0.5519 | 0.4759 | 0.5820 | 4 |
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  | 0.8976 | 1.0148 | 0.3816 | 0.5273 | 0.4428 | 0.6186 | 5 |
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  | 0.7552 | 1.0872 | 0.4571 | 0.5449 | 0.4971 | 0.6268 | 6 |
 
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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: 0.6688
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+ - Validation Loss: 1.0205
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+ - Train Overall Precision: 0.4820
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+ - Train Overall Recall: 0.5640
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+ - Train Overall F1: 0.5198
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+ - Train Overall Accuracy: 0.6662
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+ - Epoch: 7
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  ## Model description
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  | 1.0126 | 1.0670 | 0.4183 | 0.5519 | 0.4759 | 0.5820 | 4 |
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  | 0.8976 | 1.0148 | 0.3816 | 0.5273 | 0.4428 | 0.6186 | 5 |
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  | 0.7552 | 1.0872 | 0.4571 | 0.5449 | 0.4971 | 0.6268 | 6 |
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+ | 0.6688 | 1.0205 | 0.4820 | 0.5640 | 0.5198 | 0.6662 | 7 |
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  ### Framework versions
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