Training in progress epoch 9

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2195
-- Train Accuracy: 0.6675
-- Validation Loss: 1.3366
-- Validation Accuracy: 0.6675
-- Epoch: 8
+- Train Loss: 0.1928
+- Train Accuracy: 0.6725
+- Validation Loss: 1.3273
+- Validation Accuracy: 0.6725
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.3302     | 0.6675         | 1.3224          | 0.6675              | 6     |
 | 0.2655     | 0.6725         | 1.3056          | 0.6725              | 7     |
 | 0.2195     | 0.6675         | 1.3366          | 0.6675              | 8     |
+| 0.1928     | 0.6725         | 1.3273          | 0.6725              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5c404c341a4acab15e5c35086909c67a98840983eb8fe99291fb872c67de5ef4
+oid sha256:68c9c6383ed0cb3fb0cab672185139aef2aebbc9ed0637751c60d07ea680d94a
 size 409429356