Update README.md

add an extended description

README.md

@@ -9,6 +9,9 @@ metrics:
 model-index:
 - name: mT5-base-turkish-qa
   results: []
+language:
+- tr
+pipeline_tag: text2text-generation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,11 +29,22 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+mT5-base model is trained with manually curated Turkish dataset consisting of 65K training samples with ("question", "answer", "context") triplets.  
 
 ## Intended uses & limitations
 
-More information needed
+The intended use of the model is extractive question answering.
+
+In order to use the inference widget, enter your input in the format:
+"""
+Soru: question_text
+Metin: context_text
+"""
+
+Generated response by the model:
+"""
+Cevap: answer_text
+"""
 
 ## Training and evaluation data
 
@@ -67,4 +81,4 @@ The following hyperparameters were used during training:
 - Transformers 4.36.2
 - Pytorch 2.1.0+cu118
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0