Training in progress epoch 2

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: 1.3021
-- Train Accuracy: 0.6125
-- Validation Loss: 1.2977
-- Validation Accuracy: 0.6125
-- Epoch: 1
+- Train Loss: 0.9285
+- Train Accuracy: 0.6625
+- Validation Loss: 1.2059
+- Validation Accuracy: 0.6625
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 2.0541     | 0.595          | 1.5183          | 0.5950              | 0     |
 | 1.3021     | 0.6125         | 1.2977          | 0.6125              | 1     |
+| 0.9285     | 0.6625         | 1.2059          | 0.6625              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e5f5d74f9880f225baa071fab091a5a75cfdb1710724f2b30b3f69b10a279354
+oid sha256:9cfe7f691df2e69db8a36f5f73c3f74a6e69417e9f586f799be4b617cc7ca85b
 size 409429356