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: 0.7579
-- Validation Loss: 1.0765
-- Train Overall Precision: 0.4660
-- Train Overall Recall: 0.5640
-- Train Overall F1: 0.5103
-- Train Overall Accuracy: 0.5983
-- Epoch: 5
+- Train Loss: 0.7126
+- Validation Loss: 1.1322
+- Train Overall Precision: 0.4677
+- Train Overall Recall: 0.5845
+- Train Overall F1: 0.5196
+- Train Overall Accuracy: 0.6209
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 1.0429     | 1.1068          | 0.3727                  | 0.5289               | 0.4373           | 0.5592                 | 3     |
 | 0.8937     | 1.0652          | 0.4460                  | 0.5569               | 0.4953           | 0.6060                 | 4     |
 | 0.7579     | 1.0765          | 0.4660                  | 0.5640               | 0.5103           | 0.5983                 | 5     |
+| 0.7126     | 1.1322          | 0.4677                  | 0.5845               | 0.5196           | 0.6209                 | 6     |
 
 
 ### Framework versions

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