Training in progress epoch 31

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: 0.1085
-- Validation Loss: 1.5432
-- Train Overall Precision: 0.5253
-- Train Overall Recall: 0.6046
-- Train Overall F1: 0.5622
-- Train Overall Accuracy: 0.6423
-- Epoch: 29
+- Train Loss: 0.0961
+- Validation Loss: 1.5766
+- Train Overall Precision: 0.5302
+- Train Overall Recall: 0.6121
+- Train Overall F1: 0.5682
+- Train Overall Accuracy: 0.6392
+- Epoch: 31
 
 ## Model description
 
@@ -77,6 +77,8 @@ The following hyperparameters were used during training:
 | 0.1229     | 1.4796          | 0.5547                  | 0.6131               | 0.5825           | 0.6471                 | 27    |
 | 0.1225     | 1.5841          | 0.5239                  | 0.5946               | 0.5570           | 0.6101                 | 28    |
 | 0.1085     | 1.5432          | 0.5253                  | 0.6046               | 0.5622           | 0.6423                 | 29    |
+| 0.1025     | 1.5414          | 0.5176                  | 0.5966               | 0.5543           | 0.6312                 | 30    |
+| 0.0961     | 1.5766          | 0.5302                  | 0.6121               | 0.5682           | 0.6392                 | 31    |
 
 
 ### Framework versions

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