xilpam commited on
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da704c3
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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: 0.0004
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  - Validation Loss: 0.0003
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  - Train Overall Precision: 0.9987
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  - Train Overall Recall: 0.9993
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  - Train Overall F1: 0.9990
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  - Train Overall Accuracy: 1.0000
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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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  | 0.0005 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 4 |
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  | 0.0013 | 0.0004 | 0.9987 | 0.9993 | 0.9990 | 1.0000 | 5 |
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  | 0.0004 | 0.0003 | 0.9987 | 0.9993 | 0.9990 | 1.0000 | 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: 0.0003
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  - Validation Loss: 0.0003
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  - Train Overall Precision: 0.9987
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  - Train Overall Recall: 0.9993
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  - Train Overall F1: 0.9990
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  - Train Overall Accuracy: 1.0000
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+ - Epoch: 7
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  ## Model description
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  | 0.0005 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 4 |
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  | 0.0013 | 0.0004 | 0.9987 | 0.9993 | 0.9990 | 1.0000 | 5 |
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  | 0.0004 | 0.0003 | 0.9987 | 0.9993 | 0.9990 | 1.0000 | 6 |
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+ | 0.0003 | 0.0003 | 0.9987 | 0.9993 | 0.9990 | 1.0000 | 7 |
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  ### Framework versions
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