Create train_advanced.py

train_advanced.py

@@ -0,0 +1,29 @@
+import logging
+import wandb
+from transformers import TrainerCallback
+
+# Setup logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+    handlers=[
+        logging.FileHandler('training.log'),
+        logging.StreamHandler()
+    ]
+)
+
+class CustomCallback(TrainerCallback):
+    def on_log(self, args, state, control, logs=None, **kwargs):
+        if logs:
+            logging.info(f"Step {state.global_step}: {logs}")
+    
+    def on_epoch_end(self, args, state, control, **kwargs):
+        logging.info(f"Epoch {state.epoch} completed")
+
+def setup_wandb():
+    wandb.init(project="OrcaleSeek", entity="your-username")
+    wandb.config = {
+        "learning_rate": 2e-5,
+        "architecture": "OrcaleSeek",
+        "dataset": "Your-Dataset",
+    }