Training in progress epoch 40

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: 0.0126
-- Train Accuracy: 0.9915
-- Validation Loss: 0.8452
-- Validation Accuracy: 0.8684
-- Epoch: 39
+- Train Loss: 0.0125
+- Train Accuracy: 0.9913
+- Validation Loss: 0.8806
+- Validation Accuracy: 0.8759
+- Epoch: 40
 
 ## Model description
 
@@ -85,6 +85,7 @@ The following hyperparameters were used during training:
 | 0.0120     | 0.9927         | 0.8342          | 0.8684              | 37    |
 | 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    |
 
 
 ### Framework versions

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tf_model.h5

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