Update README.md

README.md

@@ -4,7 +4,7 @@ datasets:
 metrics:
 - rouge
 model-index:
-- name: bart-base-turkish-sum
+- name: mukayese/transformer-turkish-summarization
   results:
   - task:
       name: Summarization
@@ -17,11 +17,15 @@ model-index:
     - name: Rouge1
       type: rouge
       value: 43.2049
+license: mit
+language:
+- tr
+pipeline_tag: summarization
 ---
 
 # [Mukayese: Turkish NLP Strikes Back](https://arxiv.org/abs/2203.01215)
 
-## Summarization: mukayese/bart-base-turkish-sum
+## Summarization: mukayese/transformer-turkish-summarization
 
 _This model is uncased_, it was initialized from scratch and trained only the mlsum/tu dataset with no pre-training.
 
@@ -72,4 +76,4 @@ The following hyperparameters were used during training:
     archivePrefix={arXiv},
     primaryClass={cs.CL}
 }
-```
+```