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: 0.5285
-- Validation Loss: 0.6429
-- Train Overall Precision: 0.6859
-- Train Overall Recall: 0.7702
-- Train Overall F1: 0.7256
-- Train Overall Accuracy: 0.8022
-- Epoch: 3
+- Train Loss: 0.4270
+- Validation Loss: 0.6216
+- Train Overall Precision: 0.7089
+- Train Overall Recall: 0.7832
+- Train Overall F1: 0.7442
+- Train Overall Accuracy: 0.8092
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 1.0901     | 0.8303          | 0.6013                  | 0.6508               | 0.6251           | 0.7392                 | 1     |
 | 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     |
 
 
 ### Framework versions

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