example.py

@@ -8,19 +8,15 @@ model = AIIAmoe(config)
 model.save_pretrained("test")
 model = AIIAmoe.from_pretrained("test")
 
-# Initialize pretrainer with the model
 pretrainer = Pretrainer(model, learning_rate=1e-4, config=config)
 
-# List of dataset paths
+# Set checkpoint directory
-dataset_paths = [
+checkpoint_dir = "checkpoints/my_model"
-    "/path/to/dataset1.parquet",
-    "/path/to/dataset2.parquet"
-]
 
-# Start training with multiple datasets
+# Start training (will automatically load checkpoint if available)
 pretrainer.train(
-    dataset_paths=dataset_paths,
+    dataset_paths=["path/to/dataset1.parquet", "path/to/dataset2.parquet"],
-    num_epochs=10,
+    output_path="trained_models/my_model",
-    batch_size=2,
+    checkpoint_dir=checkpoint_dir,
-    sample_size=10000
+    num_epochs=10
 )