Update README.md

README.md

@@ -8,6 +8,10 @@ metrics:
 model-index:
 - name: T5-medi
   results: []
+datasets:
+- wesley7137/qa_dataset
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 # T5-medi
 
-This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on Medical QA dataset (wesley7137/qa_dataset).
+It is just for educational purpose and does not provide accurate results.
 It achieves the following results on the evaluation set:
 - Loss: 0.7130
 - Rouge1: 0.3189
@@ -24,12 +29,11 @@ It achieves the following results on the evaluation set:
 - Rougelsum: 0.3149
 
 ## Model description
-
-More information needed
+                  This is a fine-tuned T5 model for Question-Answering tasks in Medical Field
 
 ## Intended uses & limitations
 
-More information needed
+May struggle with creative or subjective content. Requires fine-tuning for different tasks
 
 ## Training and evaluation data
 
@@ -64,4 +68,4 @@ The following hyperparameters were used during training:
 - Transformers 4.39.3
 - Pytorch 2.1.2
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2