Hello,
I am trying to run this notebook in Google Colab, when I get to trainer_stats = trainer.train() the following error is generated:

==((====))== Unsloth - 2x faster free finetuning | Num GPUs used = 1 \\ /| Num examples = 3,000 | Num Epochs = 1 | Total steps = 60 O^O/ \_/ \ Batch size per device = 2 | Gradient accumulation steps = 1 \ / Data Parallel GPUs = 1 | Total batch size (2 x 1 x 1) = 2 "-____-" Trainable parameters = 1,099,295,744 of 8,949,273,936 (12.28% trained) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) /tmp/ipython-input-773422404.py in <cell line: 0>() ----> 1 trainer_stats = trainer.train() 23 frames /usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py in _call_impl(self, *args, **kwargs) 1782 or _global_backward_pre_hooks or _global_backward_hooks 1783 or _global_forward_hooks or _global_forward_pre_hooks): -> 1784 return forward_call(*args, **kwargs) 1785 1786 result = None TypeError: AuxiliaryTrainingWrapper.forward() missing 1 required positional argument: 'x'