Training in progress epoch 48

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: 0.0118
-- Train Accuracy: 0.9927
-- Validation Loss: 0.9055
-- Validation Accuracy: 0.8722
-- Epoch: 47
+- Train Loss: 0.0123
+- Train Accuracy: 0.9906
+- Validation Loss: 0.8885
+- Validation Accuracy: 0.8759
+- Epoch: 48
 
 ## Model description
 
@@ -93,6 +93,7 @@ The following hyperparameters were used during training:
 | 0.0120     | 0.9930         | 0.8384          | 0.8759              | 45    |
 | 0.0116     | 0.9927         | 0.8862          | 0.8684              | 46    |
 | 0.0118     | 0.9927         | 0.9055          | 0.8722              | 47    |
+| 0.0123     | 0.9906         | 0.8885          | 0.8759              | 48    |
 
 
 ### Framework versions

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tf_model.h5

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