Training in progress epoch 15

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: 0.8675
-- Validation Loss: 1.5423
-- Train Accuracy: 0.6623
-- Epoch: 14
+- Train Loss: 0.8434
+- Validation Loss: 1.5208
+- Train Accuracy: 0.6753
+- Epoch: 15
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.9600     | 1.6252          | 0.6494         | 12    |
 | 0.9058     | 1.5662          | 0.6623         | 13    |
 | 0.8675     | 1.5423          | 0.6623         | 14    |
+| 0.8434     | 1.5208          | 0.6753         | 15    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c125c5970386b00b9ef0e4aa7749531609a3a5bb78cc97a28c3eba4e383bb27a
 size 409469344