Training in progress epoch 4

README.md

@@ -13,13 +13,13 @@ 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: 0.7612
-- Validation Loss: 0.6849
-- Train Overall Precision: 0.6362
-- Train Overall Recall: 0.7336
-- Train Overall F1: 0.6814
-- Train Overall Accuracy: 0.7784
-- Epoch: 2
+- Train Loss: 0.4441
+- Validation Loss: 0.6256
+- Train Overall Precision: 0.6935
+- Train Overall Recall: 0.7767
+- Train Overall F1: 0.7328
+- Train Overall Accuracy: 0.8036
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,8 @@ The following hyperparameters were used during training:
 | 1.6940     | 1.4151          | 0.2686                  | 0.2785               | 0.2735           | 0.5128                 | 0     |
 | 1.1731     | 0.8665          | 0.5771                  | 0.6101               | 0.5932           | 0.7267                 | 1     |
 | 0.7612     | 0.6849          | 0.6362                  | 0.7336               | 0.6814           | 0.7784                 | 2     |
+| 0.5630     | 0.6265          | 0.6748                  | 0.7592               | 0.7145           | 0.8017                 | 3     |
+| 0.4441     | 0.6256          | 0.6935                  | 0.7767               | 0.7328           | 0.8036                 | 4     |
 
 
 ### Framework versions

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tf_model.h5

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