Training in progress epoch 1

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: 0.3969
-- Train Accuracy: 0.9339
-- Validation Loss: 0.2428
-- Validation Accuracy: 0.9512
-- Epoch: 0
+- Train Loss: 0.1840
+- Train Accuracy: 0.9835
+- Validation Loss: 0.1561
+- Validation Accuracy: 1.0
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.3969     | 0.9339         | 0.2428          | 0.9512              | 0     |
+| 0.1840     | 0.9835         | 0.1561          | 1.0                 | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:14fa9b6fe9b6fe56aee55b521bcdad9cd8e8f5c1c9bc7b938fb9bc24afbca525
+oid sha256:03afaf97837fbc9ecd68c8783ec66cbdaa1db996e838d11ec5ba31fd3074ac3c
 size 409367836