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: 1.7200
-- Validation Loss: 1.4450
-- Train Overall Precision: 0.2446
-- Train Overall Recall: 0.2479
-- Train Overall F1: 0.2462
-- Train Overall Accuracy: 0.4720
-- Epoch: 0
+- Train Loss: 0.5924
+- Validation Loss: 0.6328
+- Train Overall Precision: 0.6774
+- Train Overall Recall: 0.7817
+- Train Overall F1: 0.7258
+- Train Overall Accuracy: 0.8045
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.7200     | 1.4450          | 0.2446                  | 0.2479               | 0.2462           | 0.4720                 | 0     |
+| 1.1874     | 0.8977          | 0.5707                  | 0.6563               | 0.6105           | 0.7371                 | 1     |
+| 0.7800     | 0.7307          | 0.6355                  | 0.7471               | 0.6868           | 0.7774                 | 2     |
+| 0.5924     | 0.6328          | 0.6774                  | 0.7817               | 0.7258           | 0.8045                 | 3     |
 
 
 ### Framework versions

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tf_model.h5

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