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: 0.9327
-- Validation Loss: 1.2033
-- Train Overall Precision: 0.3938
-- Train Overall Recall: 0.5268
-- Train Overall F1: 0.4507
-- Train Overall Accuracy: 0.5683
-- Epoch: 5
+- Train Loss: 0.8211
+- Validation Loss: 1.0876
+- Train Overall Precision: 0.4192
+- Train Overall Recall: 0.5153
+- Train Overall F1: 0.4623
+- Train Overall Accuracy: 0.6004
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 1.1369     | 1.0729          | 0.3617                  | 0.4887               | 0.4157           | 0.5902                 | 3     |
 | 1.0364     | 1.1800          | 0.3293                  | 0.5073               | 0.3994           | 0.5604                 | 4     |
 | 0.9327     | 1.2033          | 0.3938                  | 0.5268               | 0.4507           | 0.5683                 | 5     |
+| 0.8211     | 1.0876          | 0.4192                  | 0.5153               | 0.4623           | 0.6004                 | 6     |
 
 
 ### Framework versions

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