Training in progress epoch 3

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: 0.2153
-- Validation Loss: 0.2180
-- Train Overall Precision: 0.9062
-- Train Overall Recall: 0.9193
-- Train Overall F1: 0.9127
-- Train Overall Accuracy: 0.9448
-- Epoch: 2
+- Train Loss: 0.1483
+- Validation Loss: 0.1840
+- Train Overall Precision: 0.9430
+- Train Overall Recall: 0.9437
+- Train Overall F1: 0.9433
+- Train Overall Accuracy: 0.9610
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.3249     | 0.5218          | 0.8344                  | 0.8318               | 0.8331           | 0.8744                 | 0     |
 | 0.4002     | 0.2680          | 0.9113                  | 0.9148               | 0.9130           | 0.9334                 | 1     |
 | 0.2153     | 0.2180          | 0.9062                  | 0.9193               | 0.9127           | 0.9448                 | 2     |
+| 0.1483     | 0.1840          | 0.9430                  | 0.9437               | 0.9433           | 0.9610                 | 3     |
 
 
 ### Framework versions

tf_model.h5

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