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: 0.3451
-- Validation Loss: 0.6699
-- Train Overall Precision: 0.7038
-- Train Overall Recall: 0.7832
-- Train Overall F1: 0.7414
-- Train Overall Accuracy: 0.7972
-- Epoch: 5
+- Train Loss: 0.2867
+- Validation Loss: 0.6886
+- Train Overall Precision: 0.7203
+- Train Overall Recall: 0.7868
+- Train Overall F1: 0.7520
+- Train Overall Accuracy: 0.7965
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.5285     | 0.6429          | 0.6859                  | 0.7702               | 0.7256           | 0.8022                 | 3     |
 | 0.4270     | 0.6216          | 0.7089                  | 0.7832               | 0.7442           | 0.8092                 | 4     |
 | 0.3451     | 0.6699          | 0.7038                  | 0.7832               | 0.7414           | 0.7972                 | 5     |
+| 0.2867     | 0.6886          | 0.7203                  | 0.7868               | 0.7520           | 0.7965                 | 6     |
 
 
 ### Framework versions

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