Training in progress epoch 12

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: 1.0254
-- Validation Loss: 1.6284
-- Train Accuracy: 0.6364
-- Epoch: 11
+- Train Loss: 0.9600
+- Validation Loss: 1.6252
+- Train Accuracy: 0.6494
+- Epoch: 12
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 1.2088     | 1.7273          | 0.6364         | 9     |
 | 1.1053     | 1.6728          | 0.6623         | 10    |
 | 1.0254     | 1.6284          | 0.6364         | 11    |
+| 0.9600     | 1.6252          | 0.6494         | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e34a9c5ed6c11dca3bcc1d913c2a8b5e26a532405ed9bfe5a51a10071538660b
 size 409469344