Training in progress epoch 28

README.md

@@ -16,10 +16,10 @@ 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: 0.0126
-- Train Accuracy: 0.9923
-- Validation Loss: 0.7943
-- Validation Accuracy: 0.8759
-- Epoch: 27
+- Train Accuracy: 0.9915
+- Validation Loss: 0.8071
+- Validation Accuracy: 0.8797
+- Epoch: 28
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 0.0134     | 0.9915         | 0.7809          | 0.8797              | 25    |
 | 0.0125     | 0.9925         | 0.7941          | 0.8797              | 26    |
 | 0.0126     | 0.9923         | 0.7943          | 0.8759              | 27    |
+| 0.0126     | 0.9915         | 0.8071          | 0.8797              | 28    |
 
 
 ### Framework versions

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tf_model.h5

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