Training in progress epoch 3

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: 0.7973
-- Validation Loss: 0.7664
-- Train Overall Precision: 0.6409
-- Train Overall Recall: 0.6869
-- Train Overall F1: 0.6631
-- Train Overall Accuracy: 0.7499
-- Epoch: 2
+- 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
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.7332     | 1.4190          | 0.2417                  | 0.2669               | 0.2537           | 0.5168                 | 0     |
 | 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     |
 
 
 ### Framework versions

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tf_model.h5

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