Training in progress epoch 11

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: 1.3661
-- Validation Loss: 1.7225
-- Train Accuracy: 0.6757
-- Epoch: 10
+- Train Loss: 1.2486
+- Validation Loss: 1.5964
+- Train Accuracy: 0.7027
+- Epoch: 11
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 1.6223     | 1.8444          | 0.6486         | 8     |
 | 1.4909     | 1.7753          | 0.6757         | 9     |
 | 1.3661     | 1.7225          | 0.6757         | 10    |
+| 1.2486     | 1.5964          | 0.7027         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:910aa08d45ecefbef38af497fb34486dfcd6191d4c992e189db3895170d3893d
 size 409469344