update model card README.md

README.md

@@ -3,10 +3,23 @@ license: mit
 tags:
 - generated_from_trainer
 datasets:
-- keyword_pubmed_dataset
+- enoriega/keyword_pubmed
+metrics:
+- accuracy
 model-index:
 - name: kw_pubmed_vanilla_sentence_10000_0.0003_2
-  results: []
+  results:
+  - task:
+      name: Masked Language Modeling
+      type: fill-mask
+    dataset:
+      name: enoriega/keyword_pubmed sentence
+      type: enoriega/keyword_pubmed
+      args: sentence
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6767448105720579
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # kw_pubmed_vanilla_sentence_10000_0.0003_2
 
-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 keyword_pubmed_dataset dataset.
+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 enoriega/keyword_pubmed sentence dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5883
+- Accuracy: 0.6767
 
 ## Model description