Training in progress epoch 30

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: 0.0127
+- Train Loss: 0.0126
 - Train Accuracy: 0.9915
-- Validation Loss: 0.8057
-- Validation Accuracy: 0.8722
-- Epoch: 29
+- Validation Loss: 0.8030
+- Validation Accuracy: 0.8797
+- Epoch: 30
 
 ## Model description
 
@@ -75,6 +75,7 @@ The following hyperparameters were used during training:
 | 0.0126     | 0.9923         | 0.7943          | 0.8759              | 27    |
 | 0.0126     | 0.9915         | 0.8071          | 0.8797              | 28    |
 | 0.0127     | 0.9915         | 0.8057          | 0.8722              | 29    |
+| 0.0126     | 0.9915         | 0.8030          | 0.8797              | 30    |
 
 
 ### Framework versions

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tf_model.h5

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