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: 1.2258
-- Validation Loss: 1.2182
+- Train Loss: 1.2182
+- Validation Loss: 1.1752
 - Train Accuracy: 0.8158
-- Epoch: 10
+- Epoch: 11
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 1.4472     | 1.3072          | 0.8421         | 8     |
 | 1.3197     | 1.2605          | 0.8158         | 9     |
 | 1.2258     | 1.2182          | 0.8158         | 10    |
+| 1.2182     | 1.1752          | 0.8158         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:49cb2883267f57e079e1916696b917e95289b3688c4c1d9aaf2a232c148917f6
 size 409423204