Training in progress epoch 1

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: 1.5060
-- Validation Loss: 1.2508
-- Train Overall Precision: 0.4032
-- Train Overall Recall: 0.4777
-- Train Overall F1: 0.4373
-- Train Overall Accuracy: 0.6024
-- Epoch: 0
+- 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
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 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     |
 
 
 ### Framework versions

tf_model.h5

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