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: 1.1053
-- Validation Loss: 1.6728
-- Train Accuracy: 0.6623
-- Epoch: 10
+- Train Loss: 1.0254
+- Validation Loss: 1.6284
+- Train Accuracy: 0.6364
+- Epoch: 11
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 1.3115     | 1.8016          | 0.5974         | 8     |
 | 1.2088     | 1.7273          | 0.6364         | 9     |
 | 1.1053     | 1.6728          | 0.6623         | 10    |
+| 1.0254     | 1.6284          | 0.6364         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5e38c92fc0dc9d59ded80b0ddd1b49547bd93dfff2bcccdd9f4bfbc27ed4c829
 size 409469344