Training in progress epoch 5

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: 0.8868
-- Validation Loss: 1.0295
-- Train Overall Precision: 0.4061
-- Train Overall Recall: 0.5569
-- Train Overall F1: 0.4697
-- Train Overall Accuracy: 0.6159
-- Epoch: 4
+- Train Loss: 0.7747
+- Validation Loss: 1.1882
+- Train Overall Precision: 0.4507
+- Train Overall Recall: 0.5625
+- Train Overall F1: 0.5004
+- Train Overall Accuracy: 0.6062
+- Epoch: 5
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 1.1357     | 1.1454          | 0.3449                  | 0.4952               | 0.4066           | 0.5503                 | 2     |
 | 1.0088     | 1.1098          | 0.3871                  | 0.5198               | 0.4438           | 0.5737                 | 3     |
 | 0.8868     | 1.0295          | 0.4061                  | 0.5569               | 0.4697           | 0.6159                 | 4     |
+| 0.7747     | 1.1882          | 0.4507                  | 0.5625               | 0.5004           | 0.6062                 | 5     |
 
 
 ### Framework versions

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