Update tasks/text.py

tasks/text.py

@@ -71,9 +71,13 @@ async def evaluate_text(request: TextEvaluationRequest):
     def preprocess_function(df):
         return tokenizer(df["quote"], truncation=True)
     tokenized_test = test_dataset.map(preprocess_function, batched=True)
-
-    training_args = torch.load("./tasks/utils/training_args.bin")
-    training_args.eval_strategy='no'
+    
+    training_args = TrainingArguments(
+        output_dir="./results", 
+        per_device_eval_batch_size=16,
+        logging_dir="./logs",
+        logging_steps=10,
+    )
 
     trainer = Trainer(
         model=model,