Training in progress epoch 7

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: 0.3127
-- Validation Loss: 0.6844
-- Train Overall Precision: 0.7304
-- Train Overall Recall: 0.7898
-- Train Overall F1: 0.7589
-- Train Overall Accuracy: 0.8057
-- Epoch: 6
+- Train Loss: 0.2668
+- Validation Loss: 0.7075
+- Train Overall Precision: 0.7222
+- Train Overall Recall: 0.7983
+- Train Overall F1: 0.7583
+- Train Overall Accuracy: 0.8056
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.4771     | 0.6405          | 0.7084                  | 0.7702               | 0.7380           | 0.8064                 | 4     |
 | 0.3819     | 0.6810          | 0.7166                  | 0.7702               | 0.7424           | 0.7986                 | 5     |
 | 0.3127     | 0.6844          | 0.7304                  | 0.7898               | 0.7589           | 0.8057                 | 6     |
+| 0.2668     | 0.7075          | 0.7222                  | 0.7983               | 0.7583           | 0.8056                 | 7     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1707102640.27cbe56dbed9.1266.0.v2

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tf_model.h5

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