Training in progress epoch 9

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: 0.0456
-- Validation Loss: 1.0815
-- Train Accuracy: 0.7818
-- Epoch: 8
+- Train Loss: 0.0396
+- Validation Loss: 1.0829
+- Train Accuracy: 0.7852
+- Epoch: 9
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.0826     | 0.8824          | 0.7778         | 6     |
 | 0.0608     | 1.0342          | 0.7827         | 7     |
 | 0.0456     | 1.0815          | 0.7818         | 8     |
+| 0.0396     | 1.0829          | 0.7852         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:230428fcecc9bb616d7f28d190d18cff25398a5eb36f5fd25d61f881e3a42674
 size 438226204