Update README.md

README.md

@@ -32,13 +32,13 @@ The encoder concatenates the question and text, and the decoder generates the an
 | Model   | ROUGEL-F1   |
 | ---------------- | ----------    | 
 | t5 (for original english dataset, baseline)    | 0.551         | 
-| ptt5-ptpt-qg (for the portuguese machine-translated dataset)    | 0.436         | 
+| ptt5-ptpt-qa (for the portuguese machine-translated dataset)    | 0.436         | 
 
 ## Load Model and Tokenizer
 
 ```py
 >>> from transformers import T5ForConditionalGeneration, T5Tokenizer
->>> model = T5ForConditionalGeneration.from_pretrained("benjleite/ptt5-ptpt-qg")
+>>> model = T5ForConditionalGeneration.from_pretrained("benjleite/ptt5-ptpt-qa")
 >>> tokenizer = T5Tokenizer.from_pretrained("unicamp-dl/ptt5-base-portuguese-vocab", model_max_length=512)
 ```
 **Important Note**: Special tokens need to be added and model tokens must be resized: