Training in progress epoch 12

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: 0.0164
-- Train Accuracy: 0.9913
-- Validation Loss: 0.6501
-- Validation Accuracy: 0.8797
-- Epoch: 11
+- Train Loss: 0.0165
+- Train Accuracy: 0.9911
+- Validation Loss: 0.6452
+- Validation Accuracy: 0.8835
+- Epoch: 12
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 0.0170     | 0.9904         | 0.6235          | 0.8797              | 9     |
 | 0.0159     | 0.9913         | 0.6619          | 0.8797              | 10    |
 | 0.0164     | 0.9913         | 0.6501          | 0.8797              | 11    |
+| 0.0165     | 0.9911         | 0.6452          | 0.8835              | 12    |
 
 
 ### Framework versions

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tf_model.h5

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