Training in progress epoch 39

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: 0.0128
-- Train Accuracy: 0.9930
-- Validation Loss: 0.8656
+- Train Loss: 0.0126
+- Train Accuracy: 0.9915
+- Validation Loss: 0.8452
 - Validation Accuracy: 0.8684
-- Epoch: 38
+- Epoch: 39
 
 ## Model description
 
@@ -84,6 +84,7 @@ The following hyperparameters were used during training:
 | 0.0127     | 0.9923         | 0.8544          | 0.8759              | 36    |
 | 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    |
 
 
 ### Framework versions

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tf_model.h5

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