Training in progress epoch 5

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6030
-- Validation Loss: 0.6373
-- Train Overall Precision: 0.7067
-- Train Overall Recall: 0.7461
-- Train Overall F1: 0.7259
-- Train Overall Accuracy: 0.7985
-- Epoch: 3
+- Train Loss: 0.3720
+- Validation Loss: 0.6051
+- Train Overall Precision: 0.7093
+- Train Overall Recall: 0.7923
+- Train Overall F1: 0.7485
+- Train Overall Accuracy: 0.8178
+- Epoch: 5
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 1.1874     | 0.9479          | 0.5511                  | 0.5524               | 0.5517           | 0.7008                 | 1     |
 | 0.7973     | 0.7664          | 0.6409                  | 0.6869               | 0.6631           | 0.7499                 | 2     |
 | 0.6030     | 0.6373          | 0.7067                  | 0.7461               | 0.7259           | 0.7985                 | 3     |
+| 0.4735     | 0.6158          | 0.7182                  | 0.7878               | 0.7514           | 0.8117                 | 4     |
+| 0.3720     | 0.6051          | 0.7093                  | 0.7923               | 0.7485           | 0.8178                 | 5     |
 
 
 ### Framework versions

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tf_model.h5

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