Create train_model.py

train_model.py

@@ -0,0 +1,23 @@
+import torch
+from transformers import Trainer, TrainingArguments
+from datasets import load_dataset
+
+def train_model():
+    training_args = TrainingArguments(
+        output_dir="./checkpoints",
+        num_train_epochs=100,
+        per_device_train_batch_size=4,
+        gradient_accumulation_steps=4,
+        learning_rate=1e-4,
+        fp16=True,
+        save_steps=500,
+    )
+    
+    dataset = load_dataset("dance_videos_dataset")
+    trainer = Trainer(
+        model=model,
+        args=training_args,
+        train_dataset=dataset,
+    )
+    
+    trainer.train()