Training in progress epoch 6

README.md

@@ -14,13 +14,13 @@ 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: 0.3782
-- Validation Loss: 0.6263
-- Train Overall Precision: 0.7230
-- Train Overall Recall: 0.8028
-- Train Overall F1: 0.7608
-- Train Overall Accuracy: 0.8140
-- Epoch: 5
+- Train Loss: 0.3083
+- Validation Loss: 0.6780
+- Train Overall Precision: 0.7175
+- Train Overall Recall: 0.7978
+- Train Overall F1: 0.7555
+- Train Overall Accuracy: 0.8010
+- Epoch: 6
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.5949     | 0.7057          | 0.6936                  | 0.7441               | 0.7180           | 0.7715                 | 3     |
 | 0.4676     | 0.6148          | 0.7246                  | 0.7842               | 0.7533           | 0.8096                 | 4     |
 | 0.3782     | 0.6263          | 0.7230                  | 0.8028               | 0.7608           | 0.8140                 | 5     |
+| 0.3083     | 0.6780          | 0.7175                  | 0.7978               | 0.7555           | 0.8010                 | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1698901509.DESKTOP-F9DNR2E.13972.0.v2

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tf_model.h5

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