Training in progress epoch 5

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: 0.4270
-- Validation Loss: 0.6216
-- Train Overall Precision: 0.7089
+- Train Loss: 0.3451
+- Validation Loss: 0.6699
+- Train Overall Precision: 0.7038
 - Train Overall Recall: 0.7832
-- Train Overall F1: 0.7442
-- Train Overall Accuracy: 0.8092
-- Epoch: 4
+- Train Overall F1: 0.7414
+- Train Overall Accuracy: 0.7972
+- Epoch: 5
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.7169     | 0.6666          | 0.6778                  | 0.7441               | 0.7094           | 0.7864                 | 2     |
 | 0.5285     | 0.6429          | 0.6859                  | 0.7702               | 0.7256           | 0.8022                 | 3     |
 | 0.4270     | 0.6216          | 0.7089                  | 0.7832               | 0.7442           | 0.8092                 | 4     |
+| 0.3451     | 0.6699          | 0.7038                  | 0.7832               | 0.7414           | 0.7972                 | 5     |
 
 
 ### Framework versions

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tf_model.h5

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