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: 0.2239
-- Train Accuracy: 0.9804
-- Validation Loss: 0.1478
+- Train Loss: 0.1064
+- Train Accuracy: 1.0
+- Validation Loss: 0.1251
 - Validation Accuracy: 0.9804
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.8291     | 0.7386         | 0.2926          | 0.9804              | 0     |
 | 0.2239     | 0.9804         | 0.1478          | 0.9804              | 1     |
+| 0.1064     | 1.0            | 0.1251          | 0.9804              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:af0495721b8c5960b13e50996094c61b23e64dc2503667e2338196e79c433a85
+oid sha256:55331867dad513b3c38ab0edcb6248728bd45ae0226b7f4aee0322eceaa2d600
 size 409367836