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: 1.6558
-- Validation Loss: 1.4251
-- Train Overall Precision: 0.2107
-- Train Overall Recall: 0.3332
-- Train Overall F1: 0.2581
-- Train Overall Accuracy: 0.4092
-- Epoch: 0
+- Train Loss: 1.0421
+- Validation Loss: 1.1025
+- Train Overall Precision: 0.3771
+- Train Overall Recall: 0.5263
+- Train Overall F1: 0.4394
+- Train Overall Accuracy: 0.6005
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.6558     | 1.4251          | 0.2107                  | 0.3332               | 0.2581           | 0.4092                 | 0     |
+| 1.3215     | 1.2372          | 0.3024                  | 0.4696               | 0.3679           | 0.4742                 | 1     |
+| 1.1454     | 1.2395          | 0.3329                  | 0.4782               | 0.3925           | 0.4779                 | 2     |
+| 1.0421     | 1.1025          | 0.3771                  | 0.5263               | 0.4394           | 0.6005                 | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1712066708.isengard.19432.0.v2

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tf_model.h5

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