Training in progress epoch 6

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: 0.3594
-- Validation Loss: 0.6280
-- Train Overall Precision: 0.7095
-- Train Overall Recall: 0.7903
-- Train Overall F1: 0.7477
-- Train Overall Accuracy: 0.8118
-- Epoch: 5
+- Train Loss: 0.3095
+- Validation Loss: 0.6566
+- Train Overall Precision: 0.7298
+- Train Overall Recall: 0.7832
+- Train Overall F1: 0.7556
+- Train Overall Accuracy: 0.8085
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.5880     | 0.6978          | 0.6814                  | 0.7501               | 0.7141           | 0.7747                 | 3     |
 | 0.4569     | 0.7022          | 0.6984                  | 0.7612               | 0.7285           | 0.7710                 | 4     |
 | 0.3594     | 0.6280          | 0.7095                  | 0.7903               | 0.7477           | 0.8118                 | 5     |
+| 0.3095     | 0.6566          | 0.7298                  | 0.7832               | 0.7556           | 0.8085                 | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1717522704.WILLMYRICK.30996.0.v2

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tf_model.h5

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