Update process results (#15)

- Update process results (233ccb64b97238b17e2e7e9e5be38519b1078099)

process_result.py

@@ -25,13 +25,18 @@ def process_result(entry, name, task):
         Tasks.NATURAL_LANGUAGE_INFERENCE,
         Tasks.TEXT_CLASSIFICATION,
     ):
-        processed['acc'] = entry['acc,none']
-        processed['acc_norm'] = entry.get('acc_norm,none', processed['acc'])
+
+        if 'acc,none' in entry:
+            processed['acc'] = entry['acc,none']
+            processed['acc_norm'] = entry.get('acc_norm,none', processed['acc'])
+        else:
+            processed['acc'] = entry['exact_match,get_result']
+            processed['acc_norm'] = processed['acc']
     elif task == Tasks.MACHINE_TRANSLATION:
         processed['wer'] = entry['wer,none']
         processed['bleu'] = entry['bleu,none']
     elif task == Tasks.GRAMMATICAL_ERROR_CORRECTION:
-        processed['exact_match'] = entry['exact_match,none']
+        processed['exact_match'] = entry['exact_match,regex_filter_applies_strip_internally']
     
     return processed
 
@@ -49,7 +54,7 @@ def main():
     model_args = raw_data['config']['model_args'].split(',')
     model_args = dict([tuple(pair.split('=')) for pair in model_args])
     processed = dict()
-    model_args['model'] = model_args.pop('pretrained')
+    model_args['model'] = model_args.get('pretrained', '')
     processed['model'] = model_args
     processed['model']['api'] = raw_data['config']['model']