deve

app.py

@@ -84,12 +84,12 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
             metric_for_best_model="loss",
             greater_is_better=True,
             logging_dir='/data/logs',
-            logging_steps=210,
+            logging_steps=200,
             #push_to_hub=True,
             hub_model_id=hub_id.strip(),
             fp16=True,
             #lr_scheduler_type='cosine',
-            save_steps=210,  # Save checkpoint every 500 steps
+            save_steps=200,  # Save checkpoint every 500 steps
             save_total_limit=3, 
         )
         # Check if a checkpoint exists and load it