Training in progress epoch 4

README.md

@@ -14,10 +14,10 @@ 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: 0.2327
-- Validation Loss: 0.6227
-- Train Accuracy: 0.7878
-- Epoch: 3
+- Train Loss: 0.1581
+- Validation Loss: 0.7234
+- Train Accuracy: 0.7795
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.4380     | 0.5118          | 0.7844         | 1     |
 | 0.3382     | 0.5437          | 0.7960         | 2     |
 | 0.2327     | 0.6227          | 0.7878         | 3     |
+| 0.1581     | 0.7234          | 0.7795         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 438226204