Training in progress epoch 28

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: 0.1229
-- Validation Loss: 1.4796
-- Train Overall Precision: 0.5547
-- Train Overall Recall: 0.6131
-- Train Overall F1: 0.5825
-- Train Overall Accuracy: 0.6471
-- Epoch: 27
+- Train Loss: 0.1225
+- Validation Loss: 1.5841
+- Train Overall Precision: 0.5239
+- Train Overall Recall: 0.5946
+- Train Overall F1: 0.5570
+- Train Overall Accuracy: 0.6101
+- Epoch: 28
 
 ## Model description
 
@@ -75,6 +75,7 @@ The following hyperparameters were used during training:
 | 0.1538     | 1.4257          | 0.5310                  | 0.6061               | 0.5661           | 0.6484                 | 25    |
 | 0.1403     | 1.5233          | 0.5232                  | 0.6061               | 0.5616           | 0.6428                 | 26    |
 | 0.1229     | 1.4796          | 0.5547                  | 0.6131               | 0.5825           | 0.6471                 | 27    |
+| 0.1225     | 1.5841          | 0.5239                  | 0.5946               | 0.5570           | 0.6101                 | 28    |
 
 
 ### Framework versions

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