Training in progress epoch 6

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: 1.0651
-- Validation Loss: 1.0411
-- Train Overall Precision: 0.3652
-- Train Overall Recall: 0.5233
-- Train Overall F1: 0.4302
-- Train Overall Accuracy: 0.5949
-- Epoch: 3
+- Train Loss: 0.7200
+- Validation Loss: 0.9883
+- Train Overall Precision: 0.4845
+- Train Overall Recall: 0.5720
+- Train Overall F1: 0.5246
+- Train Overall Accuracy: 0.6381
+- Epoch: 6
 
 ## Model description
 
@@ -51,6 +51,9 @@ The following hyperparameters were used during training:
 | 1.4401     | 1.3407          | 0.2930                  | 0.4797               | 0.3638           | 0.4365                 | 1     |
 | 1.2104     | 1.2996          | 0.3092                  | 0.4977               | 0.3815           | 0.4740                 | 2     |
 | 1.0651     | 1.0411          | 0.3652                  | 0.5233               | 0.4302           | 0.5949                 | 3     |
+| 0.9605     | 0.9755          | 0.4209                  | 0.5329               | 0.4703           | 0.6064                 | 4     |
+| 0.8846     | 1.0042          | 0.4473                  | 0.5620               | 0.4981           | 0.6270                 | 5     |
+| 0.7200     | 0.9883          | 0.4845                  | 0.5720               | 0.5246           | 0.6381                 | 6     |
 
 
 ### Framework versions

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