Training in progress epoch 2

README.md

@@ -16,13 +16,13 @@ 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: 1.0108
-- Validation Loss: 0.8129
-- Train Overall Precision: 0.6004
-- Train Overall Recall: 0.6929
-- Train Overall F1: 0.6434
-- Train Overall Accuracy: 0.7439
-- Epoch: 1
+- Train Loss: 0.7220
+- Validation Loss: 0.7021
+- Train Overall Precision: 0.6606
+- Train Overall Recall: 0.7285
+- Train Overall F1: 0.6929
+- Train Overall Accuracy: 0.7748
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.5060     | 1.2508          | 0.4032                  | 0.4777               | 0.4373           | 0.6024                 | 0     |
 | 1.0108     | 0.8129          | 0.6004                  | 0.6929               | 0.6434           | 0.7439                 | 1     |
+| 0.7220     | 0.7021          | 0.6606                  | 0.7285               | 0.6929           | 0.7748                 | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 450829256