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: 0.0740
-- Validation Loss: 0.1539
-- Train Overall Precision: 0.9463
-- Train Overall Recall: 0.9528
-- Train Overall F1: 0.9496
-- Train Overall Accuracy: 0.9665
-- Epoch: 5
+- Train Loss: 0.0600
+- Validation Loss: 0.1795
+- Train Overall Precision: 0.9355
+- Train Overall Recall: 0.9498
+- Train Overall F1: 0.9426
+- Train Overall Accuracy: 0.9584
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.1483     | 0.1840          | 0.9430                  | 0.9437               | 0.9433           | 0.9610                 | 3     |
 | 0.0940     | 0.1687          | 0.9383                  | 0.9482               | 0.9432           | 0.9614                 | 4     |
 | 0.0740     | 0.1539          | 0.9463                  | 0.9528               | 0.9496           | 0.9665                 | 5     |
+| 0.0600     | 0.1795          | 0.9355                  | 0.9498               | 0.9426           | 0.9584                 | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6491bfd189a1e18792bf6455c40e5c2931014f7473e6c76883c9e55d6b6bea5e
 size 450878408