deve

app.py

@@ -217,8 +217,8 @@ 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(4000))
-        dataset['validation'] = dataset['validation'].select(range(200))
+        dataset['train'] = dataset['train'].select(range(1000))
+        dataset['validation'] = dataset['validation'].select(range(100))
         train_set = dataset.map(tokenize_function, batched=True)
         #valid_set = dataset['validation'].map(tokenize_function, batched=True)
         
@@ -235,7 +235,7 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
             eval_dataset=train_set['validation'], 
             compute_metrics=compute_metrics,
             #data_collator=data_collator,
-            processing_class=tokenizer,
+            #processing_class=tokenizer,
         )    
     
         # Fine-tune the model