Training in progress epoch 41

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: 0.9913
-- Validation Loss: 0.8806
-- Validation Accuracy: 0.8759
-- Epoch: 40
+- Train Loss: 0.0122
+- Train Accuracy: 0.9918
+- Validation Loss: 0.8279
+- Validation Accuracy: 0.8797
+- Epoch: 41
 
 ## Model description
 
@@ -86,6 +86,7 @@ The following hyperparameters were used during training:
 | 0.0128     | 0.9930         | 0.8656          | 0.8684              | 38    |
 | 0.0126     | 0.9915         | 0.8452          | 0.8684              | 39    |
 | 0.0125     | 0.9913         | 0.8806          | 0.8759              | 40    |
+| 0.0122     | 0.9918         | 0.8279          | 0.8797              | 41    |
 
 
 ### Framework versions

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tf_model.h5

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