Training in progress epoch 9

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: 0.7790
-- Validation Loss: 1.1804
-- Train Accuracy: 0.7484
-- Epoch: 8
+- Train Loss: 0.6699
+- Validation Loss: 1.1553
+- Train Accuracy: 0.7673
+- Epoch: 9
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 1.0105     | 1.3038          | 0.7484         | 6     |
 | 0.8728     | 1.2295          | 0.7484         | 7     |
 | 0.7790     | 1.1804          | 0.7484         | 8     |
+| 0.6699     | 1.1553          | 0.7673         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0a544f3f60bb32bd2f55d4471076ac0553122b71ee2dbeb533f3f38d4c4b78a0
 size 409469344