dev

app.py

@@ -206,7 +206,7 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
         dataset = load_dataset(dataset_name.strip())
         #dataset['train'] = dataset['train'].select(range(8000))
         dataset['train'] = dataset['train'].select(range(1000))
-        dataset['validation'] = dataset['validatin'].select(range(100))
+        dataset['validation'] = dataset['validation'].select(range(100))
         tokenized_first_third = dataset.map(tokenize_function, batched=True, batch_size=50, remove_columns=column_names,)