Training in progress epoch 13

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: 0.0165
-- Train Accuracy: 0.9911
-- Validation Loss: 0.6452
-- Validation Accuracy: 0.8835
-- Epoch: 12
+- Train Loss: 0.0155
+- Train Accuracy: 0.9908
+- Validation Loss: 0.6727
+- Validation Accuracy: 0.8872
+- Epoch: 13
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0155     | 0.9908         | 0.6727          | 0.8872              | 13    |
 
 
 ### Framework versions

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tf_model.h5

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