Training in progress epoch 23

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0134
-- Train Accuracy: 0.9913
-- Validation Loss: 0.7448
-- Validation Accuracy: 0.8835
-- Epoch: 22
+- Train Loss: 0.0132
+- Train Accuracy: 0.9915
+- Validation Loss: 0.7791
+- Validation Accuracy: 0.8722
+- Epoch: 23
 
 ## Model description
 
@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
 | 0.0140     | 0.9906         | 0.7420          | 0.8759              | 20    |
 | 0.0134     | 0.9915         | 0.7419          | 0.8759              | 21    |
 | 0.0134     | 0.9913         | 0.7448          | 0.8835              | 22    |
+| 0.0132     | 0.9915         | 0.7791          | 0.8722              | 23    |
 
 
 ### Framework versions

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tf_model.h5

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