Training in progress epoch 1

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: 1.3249
-- Validation Loss: 0.5218
-- Train Overall Precision: 0.8344
-- Train Overall Recall: 0.8318
-- Train Overall F1: 0.8331
-- Train Overall Accuracy: 0.8744
-- Epoch: 0
+- Train Loss: 0.4002
+- Validation Loss: 0.2680
+- Train Overall Precision: 0.9113
+- Train Overall Recall: 0.9148
+- Train Overall F1: 0.9130
+- Train Overall Accuracy: 0.9334
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.3249     | 0.5218          | 0.8344                  | 0.8318               | 0.8331           | 0.8744                 | 0     |
+| 0.4002     | 0.2680          | 0.9113                  | 0.9148               | 0.9130           | 0.9334                 | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c3d07f28bd7c6fe83196eedd13e88bdc2df14990476e395ce598b972cf7c35ea
 size 450878408