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: 0.5758
-- Validation Loss: 0.6690
-- Train Overall Precision: 0.6851
-- Train Overall Recall: 0.7476
-- Train Overall F1: 0.7150
-- Train Overall Accuracy: 0.7857
-- Epoch: 3
+- Train Loss: 0.3182
+- Validation Loss: 0.6807
+- Train Overall Precision: 0.7172
+- Train Overall Recall: 0.7878
+- Train Overall F1: 0.7508
+- Train Overall Accuracy: 0.7864
+- Epoch: 6
 
 ## Model description
 
@@ -51,6 +51,9 @@ The following hyperparameters were used during training:
 | 1.1656     | 0.8677          | 0.5749                  | 0.6257               | 0.5992           | 0.7251                 | 1     |
 | 0.7704     | 0.7254          | 0.6356                  | 0.7160               | 0.6734           | 0.7637                 | 2     |
 | 0.5758     | 0.6690          | 0.6851                  | 0.7476               | 0.7150           | 0.7857                 | 3     |
+| 0.4526     | 0.6096          | 0.7085                  | 0.7757               | 0.7406           | 0.8046                 | 4     |
+| 0.3614     | 0.6834          | 0.7118                  | 0.7657               | 0.7377           | 0.7872                 | 5     |
+| 0.3182     | 0.6807          | 0.7172                  | 0.7878               | 0.7508           | 0.7864                 | 6     |
 
 
 ### Framework versions

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