Training in progress epoch 10

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: 1.2088
-- Validation Loss: 1.7273
-- Train Accuracy: 0.6364
-- Epoch: 9
+- Train Loss: 1.1053
+- Validation Loss: 1.6728
+- Train Accuracy: 0.6623
+- Epoch: 10
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 1.4675     | 1.8933          | 0.6234         | 7     |
 | 1.3115     | 1.8016          | 0.5974         | 8     |
 | 1.2088     | 1.7273          | 0.6364         | 9     |
+| 1.1053     | 1.6728          | 0.6623         | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7d9854f468557deaa0ebd086d325de1676bc9311dfdfa266f723f90f1ce15211
+oid sha256:e6860569a6c8e9361ff900eae3f330b86ea79fd1c5e597b9297f5e99d2185c83
 size 409469344