Training in progress epoch 46

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: 0.0120
-- Train Accuracy: 0.9930
-- Validation Loss: 0.8384
-- Validation Accuracy: 0.8759
-- Epoch: 45
+- Train Loss: 0.0116
+- Train Accuracy: 0.9927
+- Validation Loss: 0.8862
+- Validation Accuracy: 0.8684
+- Epoch: 46
 
 ## Model description
 
@@ -91,6 +91,7 @@ The following hyperparameters were used during training:
 | 0.0120     | 0.9923         | 0.8507          | 0.8722              | 43    |
 | 0.0122     | 0.9927         | 0.8715          | 0.8722              | 44    |
 | 0.0120     | 0.9930         | 0.8384          | 0.8759              | 45    |
+| 0.0116     | 0.9927         | 0.8862          | 0.8684              | 46    |
 
 
 ### Framework versions

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tf_model.h5

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