Training in progress epoch 29

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: 0.0396
-- Validation Loss: 0.9753
-- Train Overall Precision: 0.75
-- Train Overall Recall: 0.8023
-- Train Overall F1: 0.7753
-- Train Overall Accuracy: 0.7968
-- Epoch: 28
+- Train Loss: 0.0327
+- Validation Loss: 0.9237
+- Train Overall Precision: 0.7462
+- Train Overall Recall: 0.8038
+- Train Overall F1: 0.7739
+- Train Overall Accuracy: 0.8076
+- Epoch: 29
 
 ## Model description
 
@@ -76,6 +76,7 @@ The following hyperparameters were used during training:
 | 0.0387     | 0.9253          | 0.7537                  | 0.7968               | 0.7746           | 0.8033                 | 26    |
 | 0.0399     | 0.9226          | 0.7422                  | 0.8018               | 0.7709           | 0.8026                 | 27    |
 | 0.0396     | 0.9753          | 0.75                    | 0.8023               | 0.7753           | 0.7968                 | 28    |
+| 0.0327     | 0.9237          | 0.7462                  | 0.8038               | 0.7739           | 0.8076                 | 29    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1707203949.73191d6d4cc9.315.2.v2

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