Training in progress epoch 7

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: 0.3720
-- 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
+- Train Loss: 0.2612
+- Validation Loss: 0.6785
+- Train Overall Precision: 0.7279
+- Train Overall Recall: 0.8038
+- Train Overall F1: 0.7639
+- Train Overall Accuracy: 0.8047
+- Epoch: 7
 
 ## Model description
 
@@ -52,6 +52,8 @@ The following hyperparameters were used during training:
 | 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     |
+| 0.2951     | 0.6249          | 0.7227                  | 0.8003               | 0.7595           | 0.8186                 | 6     |
+| 0.2612     | 0.6785          | 0.7279                  | 0.8038               | 0.7639           | 0.8047                 | 7     |
 
 
 ### Framework versions

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