Jongha611/news-classifier

README.md

@@ -1,8 +1,14 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: monologg/koelectra-base-v3-discriminator
+language:
+- ko
+base_model: model.config._name_or_path
 tags:
+- text-classification
+- KoELECTRA
+- Korean-NLP
+- topic-classification
+- news-classification
 - generated_from_trainer
 model-index:
 - name: ynat_model
@@ -14,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ynat_model
 
-This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on an unknown dataset.
+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.
 It achieves the following results on the evaluation set:
 - eval_loss: 2.0522
 - eval_accuracy: 0.0917