deve

app.py

@@ -208,17 +208,6 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
             #print('DONE')
             #return 'RUN AGAIN TO LOAD REST OF DATA'
         dataset = load_dataset(dataset_name.strip())
-        for o, d in enumerate(dataset['validation']['text']):
-            if not isinstance(d, str):
-                print('hit')
-                print(type(d))
-                print(o)
-        for o, d in enumerate(dataset['validation']['target']):
-            if not isinstance(d, str):
-                print('hit')
-                print(type(d))
-                print(o)
-        return 'done'
                 
         #dataset['train'] = dataset['train'].select(range(8000))
         dataset['train'] = dataset['train'].select(range(4000))