Training in progress epoch 32

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: 0.0125
-- Train Accuracy: 0.9915
-- Validation Loss: 0.8364
+- Train Loss: 0.0123
+- Train Accuracy: 0.9920
+- Validation Loss: 0.8350
 - Validation Accuracy: 0.8797
-- Epoch: 31
+- Epoch: 32
 
 ## Model description
 
@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
 | 0.0127     | 0.9915         | 0.8057          | 0.8722              | 29    |
 | 0.0126     | 0.9915         | 0.8030          | 0.8797              | 30    |
 | 0.0125     | 0.9915         | 0.8364          | 0.8797              | 31    |
+| 0.0123     | 0.9920         | 0.8350          | 0.8797              | 32    |
 
 
 ### Framework versions

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tf_model.h5

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