Training in progress epoch 4

README.md

@@ -15,13 +15,13 @@ 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: 0.5880
-- Validation Loss: 0.6978
-- Train Overall Precision: 0.6814
-- Train Overall Recall: 0.7501
-- Train Overall F1: 0.7141
-- Train Overall Accuracy: 0.7747
-- Epoch: 3
+- Train Loss: 0.4569
+- Validation Loss: 0.7022
+- Train Overall Precision: 0.6984
+- Train Overall Recall: 0.7612
+- Train Overall F1: 0.7285
+- Train Overall Accuracy: 0.7710
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 1.1172     | 0.8636          | 0.5871                  | 0.6392               | 0.6121           | 0.7287                 | 1     |
 | 0.7701     | 0.7274          | 0.6558                  | 0.7170               | 0.6850           | 0.7690                 | 2     |
 | 0.5880     | 0.6978          | 0.6814                  | 0.7501               | 0.7141           | 0.7747                 | 3     |
+| 0.4569     | 0.7022          | 0.6984                  | 0.7612               | 0.7285           | 0.7710                 | 4     |
 
 
 ### Framework versions

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tf_model.h5

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