update model card README.md

README.md

@@ -1,12 +1,27 @@
 ---
-license: mit
+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: []
+  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
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +29,7 @@ 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 [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the None 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 ade_corpus_v2 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1982
 - Accuracy: 0.9611