Update README.md

README.md

@@ -102,8 +102,9 @@ encoding = tokenizer(text,question,add_special_tokens = True,
                      truncation = 'only_first',
                      max_length = 32)
 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
+#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 min_index_list in generate_indexes() to put force on tokens being chosen to be within the context(start index must be bigger than the 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)])