Jongha611/news-classifier

README.md

@@ -2,7 +2,8 @@
 library_name: transformers
 language:
 - ko
-base_model: model.config._name_or_path
+license: apache-2.0
+base_model: monologg/koelectra-base-v3-discriminator
 tags:
 - text-classification
 - KoELECTRA
@@ -20,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ynat_model
 
-This model is a fine-tuned version of [model.config._name_or_path](https://huggingface.co/model.config._name_or_path) on the klue-ynat dataset.
+This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the klue-ynat dataset.
 It achieves the following results on the evaluation set:
 - eval_loss: 2.0522
 - eval_accuracy: 0.0917