Initialize logging in training script for both main and non-main processes

- Added `init_logging` calls to ensure proper logging setup when using the accelerator and in standard training mode.
- This change enhances the clarity and consistency of logging during training sessions.

src/lerobot/scripts/lerobot_train.py

@@ -439,6 +439,9 @@ if __name__ == "__main__":
         # We set step_scheduler_with_optimizer False to prevent accelerate from
         # adjusting the lr_scheduler steps based on the num_processes
         accelerator = accelerate.Accelerator(step_scheduler_with_optimizer=False)
+
+        init_logging(accelerator=accelerator)
         train(accelerator=accelerator)
     else:
+        init_logging()
         train()