dev

app.py

@@ -124,7 +124,7 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
             saved_dataset = load_from_disk(f'/data/{hub_id.strip()}_train_dataset')
             if os.access(f'/data/{hub_id.strip()}_test_dataset', os.R_OK):
                 train_dataset = load_from_disk(f'/data/{hub_id.strip()}_train_dataset3')
-                saved_test_dataset = load_from_disk(f'/data/{hub_id.strip()}_test_dataset')
+                saved_test_dataset = load_from_disk(f'/data/{hub_id.strip()}_validation_dataset')
                 print("FOUND TEST")                    
                 # Create Trainer
                 data_collator = DataCollatorForSeq2Seq(tokenizer, model=model)