Training in progress epoch 6

README.md

@@ -16,13 +16,13 @@ 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: 0.4602
-- Validation Loss: 0.6232
-- Train Overall Precision: 0.7094
-- Train Overall Recall: 0.7878
-- Train Overall F1: 0.7466
-- Train Overall Accuracy: 0.8101
-- Epoch: 5
+- Train Loss: 0.4093
+- Validation Loss: 0.6195
+- Train Overall Precision: 0.7228
+- Train Overall Recall: 0.7928
+- Train Overall F1: 0.7562
+- Train Overall Accuracy: 0.8145
+- Epoch: 6
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.6432     | 0.6792          | 0.6762                  | 0.7501               | 0.7112           | 0.7850                 | 3     |
 | 0.5343     | 0.6767          | 0.6774                  | 0.7471               | 0.7106           | 0.7844                 | 4     |
 | 0.4602     | 0.6232          | 0.7094                  | 0.7878               | 0.7466           | 0.8101                 | 5     |
+| 0.4093     | 0.6195          | 0.7228                  | 0.7928               | 0.7562           | 0.8145                 | 6     |
 
 
 ### Framework versions

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tf_model.h5

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