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: 0.2987
-- Validation Loss: 0.6835
-- Train Overall Precision: 0.7270
-- Train Overall Recall: 0.7777
-- Train Overall F1: 0.7515
-- Train Overall Accuracy: 0.8056
-- Epoch: 6
+- Train Loss: 0.2509
+- Validation Loss: 0.6942
+- Train Overall Precision: 0.7291
+- Train Overall Recall: 0.7888
+- Train Overall F1: 0.7578
+- Train Overall Accuracy: 0.8067
+- Epoch: 7
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.4586     | 0.6322          | 0.6909                  | 0.7772               | 0.7315           | 0.7999                 | 4     |
 | 0.3725     | 0.6378          | 0.7134                  | 0.7782               | 0.7444           | 0.8096                 | 5     |
 | 0.2987     | 0.6835          | 0.7270                  | 0.7777               | 0.7515           | 0.8056                 | 6     |
+| 0.2509     | 0.6942          | 0.7291                  | 0.7888               | 0.7578           | 0.8067                 | 7     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1666296654.MacBook-Pro-2.local.3533.0.v2

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tf_model.h5

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