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: 0.3644
-- Validation Loss: 0.6378
-- Train Overall Precision: 0.7339
-- Train Overall Recall: 0.7903
-- Train Overall F1: 0.7611
-- Train Overall Accuracy: 0.8174
-- Epoch: 5
+- Train Loss: 0.3135
+- Validation Loss: 0.6776
+- Train Overall Precision: 0.7324
+- Train Overall Recall: 0.7787
+- Train Overall F1: 0.7549
+- Train Overall Accuracy: 0.8006
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.5823     | 0.6434          | 0.7028                  | 0.7642               | 0.7322           | 0.7930                 | 3     |
 | 0.4477     | 0.6255          | 0.7062                  | 0.7998               | 0.7501           | 0.8006                 | 4     |
 | 0.3644     | 0.6378          | 0.7339                  | 0.7903               | 0.7611           | 0.8174                 | 5     |
+| 0.3135     | 0.6776          | 0.7324                  | 0.7787               | 0.7549           | 0.8006                 | 6     |
 
 
 ### Framework versions

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