Training in progress epoch 1

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-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1651
-- Validation Loss: 0.0975
-- Train Accuracy: 0.9668
-- Epoch: 0
+- Train Loss: 0.0697
+- Validation Loss: 0.0947
+- Train Accuracy: 0.9696
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.1651     | 0.0975          | 0.9668         | 0     |
+| 0.0697     | 0.0947          | 0.9696         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e97ebc8209d0de41c440c532ed454bf209dfae98a6810b1f83dbba1104cb0d00
+oid sha256:5c5ba29b247b5146c1112e6fb936f0c84b938c4f65c606bc5d0756ecfea1b23a
 size 409367836