Update README.md

README.md

@@ -110,7 +110,7 @@ encoding = tokenizer(text,question,add_special_tokens = True,
 out = model(encoding['input_ids'].to(device),encoding['attention_mask'].to(device), encoding['token_type_ids'].to(device))
 #we had to change some pieces of code to make it compatible with one answer generation at a time
 #If you have unanswerable questions, use out['start_logits'][0][0:] and out['end_logits'][0][0:] because <s> (the 1st token) is for this situation and must be compared with other tokens.
-#you can initialize max_index in generate_indexes() to put force on tokens being chosen to be within the context(startindex must be less than seperator token).
+#you can initialize max_index in generate_indexes() to put force on tokens being chosen to be within the context(end index must be less than seperator token).
 answer_start_index, answer_end_index = generate_indexes(out['start_logits'][0][1:], out['end_logits'][0][1:], 5, 0)
 print(tokenizer.tokenize(text + question))
 print(tokenizer.tokenize(text + question)[answer_start_index : (answer_end_index + 1)])