Training in progress epoch 3

README.md

@@ -13,13 +13,13 @@ 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: 1.1546
-- Validation Loss: 0.6939
-- Train Overall Precision: 0.6387
-- Train Overall Recall: 0.7381
-- Train Overall F1: 0.6848
-- Train Overall Accuracy: 0.7761
-- Epoch: 0
+- Train Loss: 0.2921
+- Validation Loss: 0.6447
+- Train Overall Precision: 0.7169
+- Train Overall Recall: 0.7852
+- Train Overall F1: 0.7495
+- Train Overall Accuracy: 0.7934
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.1546     | 0.6939          | 0.6387                  | 0.7381               | 0.6848           | 0.7761                 | 0     |
+| 0.6170     | 0.5872          | 0.7099                  | 0.7832               | 0.7448           | 0.7949                 | 1     |
+| 0.4005     | 0.6761          | 0.6766                  | 0.7777               | 0.7236           | 0.7729                 | 2     |
+| 0.2921     | 0.6447          | 0.7169                  | 0.7852               | 0.7495           | 0.7934                 | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1675182416.LSLAPTOP12-LNX.22659.0.v2

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tf_model.h5

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