src/model/train.py

@@ -76,6 +76,8 @@ class FakeNewsModelTrainer:
         total_steps = len(train_dataloader) * epochs
         scheduler = get_linear_schedule_with_warmup(optimizer, num_warmup_steps=0, num_training_steps=total_steps)
 
+        self.model.to(self.device)  # Ensure model is on the correct device
+
         for epoch in range(epochs):
             self.model.train()
             total_loss = 0
@@ -128,6 +130,7 @@ class FakeNewsModelTrainer:
         self.model.save_pretrained(path)
         self.tokenizer.save_pretrained(path)
 
+
 class FakeNewsInference:
     def __init__(self, model_path):
         self.tokenizer = BertTokenizer.from_pretrained(model_path)