Training in progress epoch 21

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: 0.0140
-- Train Accuracy: 0.9906
-- Validation Loss: 0.7420
+- Train Loss: 0.0134
+- Train Accuracy: 0.9915
+- Validation Loss: 0.7419
 - Validation Accuracy: 0.8759
-- Epoch: 20
+- Epoch: 21
 
 ## Model description
 
@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
 | 0.0138     | 0.9915         | 0.7297          | 0.8722              | 18    |
 | 0.0143     | 0.9908         | 0.7030          | 0.8759              | 19    |
 | 0.0140     | 0.9906         | 0.7420          | 0.8759              | 20    |
+| 0.0134     | 0.9915         | 0.7419          | 0.8759              | 21    |
 
 
 ### Framework versions

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tf_model.h5

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