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: 0.0915
-- Validation Loss: 0.1956
-- Train Overall Precision: 0.9390
-- Train Overall Recall: 0.9482
-- Train Overall F1: 0.9436
-- Train Overall Accuracy: 0.9571
-- Epoch: 4
+- Train Loss: 0.0628
+- Validation Loss: 0.1726
+- Train Overall Precision: 0.9410
+- Train Overall Recall: 0.9467
+- Train Overall F1: 0.9439
+- Train Overall Accuracy: 0.9618
+- Epoch: 6
 
 ## Model description
 
@@ -52,6 +52,8 @@ The following hyperparameters were used during training:
 | 0.2136     | 0.1945          | 0.9233                  | 0.9254               | 0.9244           | 0.9499                 | 2     |
 | 0.1335     | 0.1814          | 0.9363                  | 0.9399               | 0.9381           | 0.9550                 | 3     |
 | 0.0915     | 0.1956          | 0.9390                  | 0.9482               | 0.9436           | 0.9571                 | 4     |
+| 0.0810     | 0.2157          | 0.9392                  | 0.9399               | 0.9395           | 0.9559                 | 5     |
+| 0.0628     | 0.1726          | 0.9410                  | 0.9467               | 0.9439           | 0.9618                 | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5d329b50b297d77e423730ef5545339a52fd53d29e15a2749e80a143b82d39ad
 size 450878408