End of training

README.md

@@ -13,13 +13,13 @@ 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: 0.2781
-- Validation Loss: 0.6248
-- Train Overall Precision: 0.7176
-- Train Overall Recall: 0.7868
-- Train Overall F1: 0.7506
-- Train Overall Accuracy: 0.8141
-- Epoch: 6
+- Train Loss: 0.2280
+- Validation Loss: 0.6532
+- Train Overall Precision: 0.7218
+- Train Overall Recall: 0.7878
+- Train Overall F1: 0.7534
+- Train Overall Accuracy: 0.8144
+- Epoch: 7
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.4441     | 0.6256          | 0.6935                  | 0.7767               | 0.7328           | 0.8036                 | 4     |
 | 0.3641     | 0.6402          | 0.7115                  | 0.7772               | 0.7429           | 0.7940                 | 5     |
 | 0.2781     | 0.6248          | 0.7176                  | 0.7868               | 0.7506           | 0.8141                 | 6     |
+| 0.2280     | 0.6532          | 0.7218                  | 0.7878               | 0.7534           | 0.8144                 | 7     |
 
 
 ### Framework versions

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