Training in progress epoch 1

README.md

@@ -14,11 +14,11 @@ 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: 0.8291
-- Train Accuracy: 0.7386
-- Validation Loss: 0.2926
+- Train Loss: 0.2239
+- Train Accuracy: 0.9804
+- Validation Loss: 0.1478
 - Validation Accuracy: 0.9804
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.8291     | 0.7386         | 0.2926          | 0.9804              | 0     |
+| 0.2239     | 0.9804         | 0.1478          | 0.9804              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68194cebc9f3a467853330999ebe0c6d724cc52193134a9ac0fe88135eaf7372
+oid sha256:af0495721b8c5960b13e50996094c61b23e64dc2503667e2338196e79c433a85
 size 409367836