update model card README.md

README.md

@@ -3,25 +3,11 @@ language:
 - en
 tags:
 - generated_from_trainer
-datasets:
-- ade_corpus_v2
 metrics:
 - accuracy
 model-index:
 - name: BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-ade-v2-classification
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: ade_corpus_v2
-      type: ade_corpus_v2
-      config: null
-      split: None
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9610969387755102
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-ade-v2-classification
 
-This model is a fine-tuned version of [BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the ade_corpus_v2 dataset.
+This model is a fine-tuned version of [BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1982
 - Accuracy: 0.9611