Training in progress epoch 6

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: 0.5924
-- Validation Loss: 0.6328
-- Train Overall Precision: 0.6774
-- Train Overall Recall: 0.7817
-- Train Overall F1: 0.7258
-- Train Overall Accuracy: 0.8045
-- Epoch: 3
+- Train Loss: 0.2933
+- Validation Loss: 0.6364
+- Train Overall Precision: 0.7358
+- Train Overall Recall: 0.8023
+- Train Overall F1: 0.7676
+- Train Overall Accuracy: 0.8145
+- Epoch: 6
 
 ## Model description
 
@@ -51,6 +51,9 @@ The following hyperparameters were used during training:
 | 1.1874     | 0.8977          | 0.5707                  | 0.6563               | 0.6105           | 0.7371                 | 1     |
 | 0.7800     | 0.7307          | 0.6355                  | 0.7471               | 0.6868           | 0.7774                 | 2     |
 | 0.5924     | 0.6328          | 0.6774                  | 0.7817               | 0.7258           | 0.8045                 | 3     |
+| 0.4601     | 0.6043          | 0.7228                  | 0.7878               | 0.7539           | 0.8133                 | 4     |
+| 0.3731     | 0.6318          | 0.7220                  | 0.7988               | 0.7585           | 0.8099                 | 5     |
+| 0.2933     | 0.6364          | 0.7358                  | 0.8023               | 0.7676           | 0.8145                 | 6     |
 
 
 ### Framework versions

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tf_model.h5

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