Training in progress epoch 18

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: 0.8070
-- Validation Loss: 1.5024
+- Train Loss: 0.7749
+- Validation Loss: 1.4941
 - Train Accuracy: 0.6753
-- Epoch: 17
+- Epoch: 18
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.8434     | 1.5208          | 0.6753         | 15    |
 | 0.8356     | 1.5140          | 0.6753         | 16    |
 | 0.8070     | 1.5024          | 0.6753         | 17    |
+| 0.7749     | 1.4941          | 0.6753         | 18    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:82deb269a9fb9fdb0d454e6c92e26c7b7e3a8f908d7d07e54ddee4c5b42f6db7
+oid sha256:121787cb4a0d74f2bbcf06ca5e6aef360a5034366630a9f6a3032b80679ea35a
 size 409469344