Update README.md

README.md

@@ -2,12 +2,19 @@
 license: mit
 tags:
 - generated_from_trainer
+- biology
+- medical
 metrics:
 - bleu
 - rouge
+- meteor
 model-index:
 - name: mbart-large-50-Biomedical_Dataset
   results: []
+language:
+- en
+- it
+pipeline_tag: translation
 ---
 
 # mbart-large-50-Biomedical_Dataset
@@ -30,15 +37,15 @@ It achieves the following results on the evaluation set:
  
 ## Model description
 
-More information needed
+For more information on how it was created, check out the following link: {I will update this once I post the code on github.}
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended to demonstrate my ability to solve a complex problem using technology.
 
 ## Training and evaluation data
 
-More information needed
+Dataset Source: https://huggingface.co/datasets/paolo-ruggirello/biomedical-dataset
 
 ## Training procedure
 
@@ -69,11 +76,4 @@ Footnotes:
 - Transformers 4.26.1
 - Pytorch 2.0.1
 - Datasets 2.13.1
-- Tokenizers 0.13.3
-
-
-- Loss: 0.9425
-- Bleu: 38.9893
-- Rouge: {'rouge1': 0.6826259612196924, 'rouge2': 0.473675987811788, 'rougeL': 0.6586445010303293, 'rougeLsum': 0.6585487473231793}
-- Meteor: {'meteor': 0.6299677745833094}
-- Prediction Lengths: 24.362727392855568
+- Tokenizers 0.13.3