Upload TFBertForSequenceClassification

README.md

@@ -3,20 +3,18 @@ base_model: bert-base-chinese
 tags:
 - generated_from_keras_callback
 model-index:
-- name: marsyao/chinese-sentiment-model
+- name: chinese-sentiment-model
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# marsyao/chinese-sentiment-model
+# chinese-sentiment-model
 
 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: 0.6619
-- Train Accuracy: 0.6000
-- Epoch: 0
+
 
 ## Model description
 
@@ -40,9 +38,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Train Accuracy | Epoch |
-|:----------:|:--------------:|:-----:|
-| 0.6619     | 0.6000         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:779a724a4ecd4509b4bbd069ed2ea75d22904949ba048075aaabefbf8ccba078
+oid sha256:46a6c74a68285efee9c79bff9bc0cb025caf86948a6edea5f3acffcb3c038c27
 size 409364760