Training in progress epoch 6

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: 0.4165
-- Train Accuracy: 0.6825
-- Validation Loss: 1.1801
-- Validation Accuracy: 0.6825
-- Epoch: 5
+- Train Loss: 0.3302
+- Train Accuracy: 0.6675
+- Validation Loss: 1.3224
+- Validation Accuracy: 0.6675
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.7071     | 0.6625         | 1.1796          | 0.6625              | 3     |
 | 0.5354     | 0.6525         | 1.2179          | 0.6525              | 4     |
 | 0.4165     | 0.6825         | 1.1801          | 0.6825              | 5     |
+| 0.3302     | 0.6675         | 1.3224          | 0.6675              | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9961ac4d3d999e3e65a312055e3174010f9de9a09e70690eb2d45b69a76a16c
+oid sha256:a2555510f71d4ddbacc702b867c2797a6442dd46caa74cdf157196698dfd720d
 size 409429356