Training in progress epoch 7

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: 0.1383
-- Validation Loss: 0.7195
-- Train Overall Precision: 0.7327
-- Train Overall Recall: 0.7938
-- Train Overall F1: 0.7620
-- Train Overall Accuracy: 0.8048
-- Epoch: 5
+- Train Loss: 0.0691
+- Validation Loss: 0.7709
+- Train Overall Precision: 0.7410
+- Train Overall Recall: 0.7953
+- Train Overall F1: 0.7672
+- Train Overall Accuracy: 0.8057
+- Epoch: 7
 
 ## Model description
 
@@ -51,6 +51,8 @@ The following hyperparameters were used during training:
 | 0.2921     | 0.6447          | 0.7169                  | 0.7852               | 0.7495           | 0.7934                 | 3     |
 | 0.2029     | 0.7472          | 0.7019                  | 0.7953               | 0.7457           | 0.7852                 | 4     |
 | 0.1383     | 0.7195          | 0.7327                  | 0.7938               | 0.7620           | 0.8048                 | 5     |
+| 0.0932     | 0.7851          | 0.7272                  | 0.7998               | 0.7618           | 0.8063                 | 6     |
+| 0.0691     | 0.7709          | 0.7410                  | 0.7953               | 0.7672           | 0.8057                 | 7     |
 
 
 ### Framework versions

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

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tf_model.h5

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