Training in progress epoch 3

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: 1.1412
-- Validation Loss: 1.1634
-- Train Overall Precision: 0.3303
-- Train Overall Recall: 0.5028
-- Train Overall F1: 0.3986
-- Train Overall Accuracy: 0.5209
-- Epoch: 2
+- Train Loss: 1.0429
+- Validation Loss: 1.1068
+- Train Overall Precision: 0.3727
+- Train Overall Recall: 0.5289
+- Train Overall F1: 0.4373
+- Train Overall Accuracy: 0.5592
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.6889     | 1.4840          | 0.1755                  | 0.3307               | 0.2293           | 0.3586                 | 0     |
 | 1.3467     | 1.2410          | 0.3182                  | 0.4827               | 0.3836           | 0.4680                 | 1     |
 | 1.1412     | 1.1634          | 0.3303                  | 0.5028               | 0.3986           | 0.5209                 | 2     |
+| 1.0429     | 1.1068          | 0.3727                  | 0.5289               | 0.4373           | 0.5592                 | 3     |
 
 
 ### Framework versions

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