Training in progress epoch 8

README.md

@@ -15,13 +15,13 @@ 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: 0.0059
-- Validation Loss: 0.1568
-- Train Precision: 0.8450
-- Train Recall: 0.8808
-- Train F1: 0.8625
-- Train Accuracy: 0.9709
-- Epoch: 7
+- Train Loss: 0.0045
+- Validation Loss: 0.1540
+- Train Precision: 0.8519
+- Train Recall: 0.8760
+- Train F1: 0.8638
+- Train Accuracy: 0.9714
+- Epoch: 8
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.0133     | 0.1281          | 0.8514          | 0.8701       | 0.8606   | 0.9712         | 5     |
 | 0.0083     | 0.1469          | 0.8293          | 0.8889       | 0.8581   | 0.9691         | 6     |
 | 0.0059     | 0.1568          | 0.8450          | 0.8808       | 0.8625   | 0.9709         | 7     |
+| 0.0045     | 0.1540          | 0.8519          | 0.8760       | 0.8638   | 0.9714         | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 435849172