Update app.py

app.py

@@ -30,7 +30,7 @@ def compute_metrics(eval_pred):
 def compute_model_card_evaluation_results(tokenizer, model_checkpoint, raw_datasets, metric):
     tokenized_datasets = raw_datasets.map(preprocess_function, batched=True)
     model = AutoModelForSequenceClassification.from_pretrained(model_checkpoint, num_labels=2)
-    """
+    
     batch_size = 16
     args = TrainingArguments(
         "test-glue",
@@ -62,6 +62,7 @@ def compute_model_card_evaluation_results(tokenizer, model_checkpoint, raw_datas
         metric_for_best_model="accuracy",
         report_to="none"
         )
+    """
     trainer = Trainer(
         model,
         args,