上面的代码报错了：Traceback (most recent call last): File "C:\Users\star\PycharmProjects\numbers\testcnn.py", line 15, in <module> train_encodings = tokenizer(train_texts, truncation=True, padding=True) File "C:\Users\star\PycharmProjects\numbers\venv\lib\site-packages\transformers\tokenization_utils_base.py", line 2561, in call encodings = self._call_one(text=text, text_pair=text_pair, **all_kwargs) File "C:\Users\star\PycharmProjects\numbers\venv\lib\site-packages\transformers\tokenization_utils_base.py", line 2647, in _call_one return self.batch_encode_plus( File "C:\Users\star\PycharmProjects\numbers\venv\lib\site-packages\transformers\tokenization_utils_base.py", line 2838, in batch_encode_plus return self._batch_encode_plus( File "C:\Users\star\PycharmProjects\numbers\venv\lib\site-packages\transformers\tokenization_utils.py", line 733, in _batch_encode_plus first_ids = get_input_ids(ids) File "C:\Users\star\PycharmProjects\numbers\venv\lib\site-packages\transformers\tokenization_utils.py", line 713, in get_input_ids raise ValueError( ValueError: Input is not valid. Should be a string, a list/tuple of strings or a list/tuple of integers. 进程已结束,退出代码1

根据错误信息，问题出在将train_texts作为参数传递给tokenizer时。根据错误提示，输入应该是一个字符串、字符串列表/元组，或者整数列表/元组。请确保train_texts符合这些要求。

你可以尝试将train_texts转换为字符串列表，确保每个文本都是字符串类型。可以使用以下代码来实现：

train_texts = df['x'].astype(str).tolist()

然后再次运行tokenizer方法进行编码。

如果问题仍然存在，请确保train_texts中的数据类型符合要求，并检查数据是否正确加载。