Training in progress epoch 7

README.md

@@ -14,13 +14,13 @@ 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: 0.2872
-- Validation Loss: 0.6603
-- Train Overall Precision: 0.7316
-- Train Overall Recall: 0.8013
-- Train Overall F1: 0.7648
-- Train Overall Accuracy: 0.8153
-- Epoch: 6
+- Train Loss: 0.2438
+- Validation Loss: 0.6811
+- Train Overall Precision: 0.7239
+- Train Overall Recall: 0.7933
+- Train Overall F1: 0.7570
+- Train Overall Accuracy: 0.8147
+- Epoch: 7
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.4273     | 0.6530          | 0.71                    | 0.7837               | 0.7451           | 0.7999                 | 4     |
 | 0.3538     | 0.6343          | 0.7188                  | 0.7913               | 0.7533           | 0.8134                 | 5     |
 | 0.2872     | 0.6603          | 0.7316                  | 0.8013               | 0.7648           | 0.8153                 | 6     |
+| 0.2438     | 0.6811          | 0.7239                  | 0.7933               | 0.7570           | 0.8147                 | 7     |
 
 
 ### Framework versions

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