Training in progress epoch 11

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: 0.0950
+- Train Loss: 0.0759
 - Train Accuracy: 0.9993
-- Validation Loss: 2.5858
+- Validation Loss: 2.5024
 - Validation Accuracy: 0.5128
-- Epoch: 10
+- Epoch: 11
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.1528     | 0.9933         | 2.4081          | 0.5385              | 8     |
 | 0.1211     | 0.9960         | 2.5929          | 0.5128              | 9     |
 | 0.0950     | 0.9993         | 2.5858          | 0.5128              | 10    |
+| 0.0759     | 0.9993         | 2.5024          | 0.5128              | 11    |
 
 
 ### Framework versions

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tf_model.h5

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