Training in progress epoch 36

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: 0.0130
-- Train Accuracy: 0.9918
-- Validation Loss: 0.8177
+- Train Loss: 0.0127
+- Train Accuracy: 0.9923
+- Validation Loss: 0.8544
 - Validation Accuracy: 0.8759
-- Epoch: 35
+- Epoch: 36
 
 ## Model description
 
@@ -81,6 +81,7 @@ The following hyperparameters were used during training:
 | 0.0125     | 0.9913         | 0.8298          | 0.8797              | 33    |
 | 0.0126     | 0.9918         | 0.8337          | 0.8797              | 34    |
 | 0.0130     | 0.9918         | 0.8177          | 0.8759              | 35    |
+| 0.0127     | 0.9923         | 0.8544          | 0.8759              | 36    |
 
 
 ### Framework versions

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tf_model.h5

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