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: 0.3650
-- Validation Loss: 0.6304
-- Train Overall Precision: 0.7208
-- Train Overall Recall: 0.7797
-- Train Overall F1: 0.7491
-- Train Overall Accuracy: 0.8153
-- Epoch: 5
+- Train Loss: 0.2901
+- Validation Loss: 0.6709
+- Train Overall Precision: 0.7158
+- Train Overall Recall: 0.7973
+- Train Overall F1: 0.7543
+- Train Overall Accuracy: 0.8036
+- Epoch: 6
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.5825     | 0.6844          | 0.6840                  | 0.7592               | 0.7196           | 0.7896                 | 3     |
 | 0.4667     | 0.6354          | 0.7123                  | 0.7812               | 0.7452           | 0.8108                 | 4     |
 | 0.3650     | 0.6304          | 0.7208                  | 0.7797               | 0.7491           | 0.8153                 | 5     |
+| 0.2901     | 0.6709          | 0.7158                  | 0.7973               | 0.7543           | 0.8036                 | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1697654523.4d857969e3ee.505.0.v2

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tf_model.h5

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