runtime error

Exit code: 1. Reason: | Status | -------------------------------------------+------------+- cls.predictions.bias | UNEXPECTED | cls.seq_relationship.weight | UNEXPECTED | cls.predictions.transform.LayerNorm.bias | UNEXPECTED | cls.seq_relationship.bias | UNEXPECTED | cls.predictions.transform.dense.weight | UNEXPECTED | cls.predictions.transform.LayerNorm.weight | UNEXPECTED | cls.predictions.transform.dense.bias | UNEXPECTED | classifier.bias | MISSING | classifier.weight | MISSING | Notes: - UNEXPECTED: can be ignored when loading from different task/architecture; not ok if you expect identical arch. - MISSING: those params were newly initialized because missing from the checkpoint. Consider training on your downstream task. 앱 초기화 중... 모델 훈련 시작... Traceback (most recent call last): File "/app/app.py", line 134, in <module> train_model() ~~~~~~~~~~~^^ File "/app/app.py", line 84, in train_model for batch in train_loader: ^^^^^^^^^^^^ File "/usr/local/lib/python3.13/site-packages/torch/utils/data/dataloader.py", line 741, in __next__ data = self._next_data() File "/usr/local/lib/python3.13/site-packages/torch/utils/data/dataloader.py", line 801, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "/usr/local/lib/python3.13/site-packages/torch/utils/data/_utils/fetch.py", line 54, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] ~~~~~~~~~~~~^^^^^ File "/app/app.py", line 30, in __getitem__ encoding = self.tokenizer.encode_plus( ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 1315, in __getattr__ raise AttributeError(f"{self.__class__.__name__} has no attribute {key}") AttributeError: BertTokenizer has no attribute encode_plus. Did you mean: '_encode_plus'?

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