Training in progress epoch 44

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: 0.0120
-- Train Accuracy: 0.9923
-- Validation Loss: 0.8507
+- Train Loss: 0.0122
+- Train Accuracy: 0.9927
+- Validation Loss: 0.8715
 - Validation Accuracy: 0.8722
-- Epoch: 43
+- Epoch: 44
 
 ## Model description
 
@@ -89,6 +89,7 @@ The following hyperparameters were used during training:
 | 0.0122     | 0.9918         | 0.8279          | 0.8797              | 41    |
 | 0.0123     | 0.9915         | 0.8332          | 0.8722              | 42    |
 | 0.0120     | 0.9923         | 0.8507          | 0.8722              | 43    |
+| 0.0122     | 0.9927         | 0.8715          | 0.8722              | 44    |
 
 
 ### Framework versions

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tf_model.h5

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