Training in progress epoch 3

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: 2.6954
-- Validation Loss: 2.7106
-- Train Accuracy: 0.3766
-- Epoch: 2
+- Train Loss: 2.3815
+- Validation Loss: 2.4910
+- Train Accuracy: 0.4935
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 3.4316     | 3.2876          | 0.2078         | 0     |
 | 3.0452     | 3.0083          | 0.2338         | 1     |
 | 2.6954     | 2.7106          | 0.3766         | 2     |
+| 2.3815     | 2.4910          | 0.4935         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bbc293da7a48d231d0118007be802ece5204dc6c0ab5012ad56fea9f4f6f8e9d
+oid sha256:04a4bf707f4f4f3d7e1de81fd8d0a32063b5f0bc16f1a4fdb38c9da73776957c
 size 409469344