Training in progress epoch 4

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: 0.2136
-- Validation Loss: 0.1945
-- Train Overall Precision: 0.9233
-- Train Overall Recall: 0.9254
-- Train Overall F1: 0.9244
-- Train Overall Accuracy: 0.9499
-- Epoch: 2
+- 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
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 1.3129     | 0.5622          | 0.8065                  | 0.8120               | 0.8093           | 0.8579                 | 0     |
 | 0.3927     | 0.2756          | 0.8965                  | 0.8965               | 0.8965           | 0.9291                 | 1     |
 | 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     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5620f8cbb8a81059cb8d18c3796482c1b7046bf26a3ed03c6f9988fca954037f
 size 450878408