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: 0.6131
-- Validation Loss: 1.1061
-- Train Accuracy: 0.7673
-- Epoch: 10
+- Train Loss: 0.5441
+- Validation Loss: 1.0817
+- Train Accuracy: 0.7799
+- Epoch: 11
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.7790     | 1.1804          | 0.7484         | 8     |
 | 0.6699     | 1.1553          | 0.7673         | 9     |
 | 0.6131     | 1.1061          | 0.7673         | 10    |
+| 0.5441     | 1.0817          | 0.7799         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c1640155cd13fa111b2739eeb0046e537f4254f89318a5c06d0dd33e82e312e8
 size 409469344