Training in progress epoch 4

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: 0.7071
-- Train Accuracy: 0.6625
-- Validation Loss: 1.1796
-- Validation Accuracy: 0.6625
-- Epoch: 3
+- Train Loss: 0.5354
+- Train Accuracy: 0.6525
+- Validation Loss: 1.2179
+- Validation Accuracy: 0.6525
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 1.3021     | 0.6125         | 1.2977          | 0.6125              | 1     |
 | 0.9285     | 0.6625         | 1.2059          | 0.6625              | 2     |
 | 0.7071     | 0.6625         | 1.1796          | 0.6625              | 3     |
+| 0.5354     | 0.6525         | 1.2179          | 0.6525              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:718a6f239c7f1a3bebad064cbc8ce04ad33bbd01d3bfdead7c7431c5601fcaed
+oid sha256:4b1470ab0d6b474f2aa39c6306799d14e432611410a5caa00a0f169ddef7c742
 size 409429356