Training in progress epoch 7

README.md

@@ -16,13 +16,13 @@ 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: 0.3599
-- Validation Loss: 0.6462
-- Train Overall Precision: 0.7016
-- Train Overall Recall: 0.7692
-- Train Overall F1: 0.7338
-- Train Overall Accuracy: 0.8092
-- Epoch: 4
+- Train Loss: 0.2062
+- Validation Loss: 0.7277
+- Train Overall Precision: 0.6941
+- Train Overall Recall: 0.7913
+- Train Overall F1: 0.7395
+- Train Overall Accuracy: 0.7950
+- Epoch: 7
 
 ## Model description
 
@@ -53,6 +53,9 @@ The following hyperparameters were used during training:
 | 0.5857     | 0.6867          | 0.6406                  | 0.7602               | 0.6953           | 0.7780                 | 2     |
 | 0.4573     | 0.6551          | 0.6806                  | 0.7752               | 0.7248           | 0.7982                 | 3     |
 | 0.3599     | 0.6462          | 0.7016                  | 0.7692               | 0.7338           | 0.8092                 | 4     |
+| 0.3038     | 0.6978          | 0.7318                  | 0.7587               | 0.7450           | 0.8006                 | 5     |
+| 0.2455     | 0.6850          | 0.7242                  | 0.7787               | 0.7505           | 0.8019                 | 6     |
+| 0.2062     | 0.7277          | 0.6941                  | 0.7913               | 0.7395           | 0.7950                 | 7     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1735575510.c6fd54db7988.527.2.v2

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tf_model.h5

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