Training in progress epoch 7

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: 0.0826
-- Validation Loss: 0.8824
-- Train Accuracy: 0.7778
-- Epoch: 6
+- Train Loss: 0.0608
+- Validation Loss: 1.0342
+- Train Accuracy: 0.7827
+- Epoch: 7
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.1581     | 0.7234          | 0.7795         | 4     |
 | 0.1104     | 0.8340          | 0.7832         | 5     |
 | 0.0826     | 0.8824          | 0.7778         | 6     |
+| 0.0608     | 1.0342          | 0.7827         | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a6396184051fc0ac549f7f449019117a59ed1a2797f4f5e8bf8a0e54aa077d0
+oid sha256:e16ea335e41dc5cebab69a109d53fd54218b09137c40350e4b388c712b5f0ea2
 size 438226204