Training in progress epoch 19

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: 0.7749
-- Validation Loss: 1.4941
+- Train Loss: 0.7805
+- Validation Loss: 1.4913
 - Train Accuracy: 0.6753
-- Epoch: 18
+- Epoch: 19
 
 ## Model description
 
@@ -62,6 +62,7 @@ The following hyperparameters were used during training:
 | 0.8356     | 1.5140          | 0.6753         | 16    |
 | 0.8070     | 1.5024          | 0.6753         | 17    |
 | 0.7749     | 1.4941          | 0.6753         | 18    |
+| 0.7805     | 1.4913          | 0.6753         | 19    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:121787cb4a0d74f2bbcf06ca5e6aef360a5034366630a9f6a3032b80679ea35a
+oid sha256:171d193a74bcaf4d07c3795dc94f54265f331bff461fdc19e9ddbb1cc9b64436
 size 409469344