Training in progress epoch 4

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: 0.5825
-- Validation Loss: 0.6844
-- Train Overall Precision: 0.6840
-- Train Overall Recall: 0.7592
-- Train Overall F1: 0.7196
-- Train Overall Accuracy: 0.7896
-- Epoch: 3
+- Train Loss: 0.4667
+- Validation Loss: 0.6354
+- Train Overall Precision: 0.7123
+- Train Overall Recall: 0.7812
+- Train Overall F1: 0.7452
+- Train Overall Accuracy: 0.8108
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.1531     | 0.8728          | 0.5680                  | 0.6327               | 0.5986           | 0.7422                 | 1     |
 | 0.7533     | 0.7316          | 0.6481                  | 0.7200               | 0.6822           | 0.7642                 | 2     |
 | 0.5825     | 0.6844          | 0.6840                  | 0.7592               | 0.7196           | 0.7896                 | 3     |
+| 0.4667     | 0.6354          | 0.7123                  | 0.7812               | 0.7452           | 0.8108                 | 4     |
 
 
 ### Framework versions

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