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The affected code line extracts the classifier token's ([CLS]) embedding. The [CLS] token is added during dataset loading (see input_reader.py file). I'm not sure why the error occurs with your dataset. Maybe you already include the [CLS] token in your dataset JSON file? And are you sure no other character (or subword) is mapped to the same ID as [CLS] (in your vocabulary)?
Thanks for your reply very much!
Following your guide, I checked _parse_tokens function in input_reader.py with doc_encoding.count(101), and there is only 1 [CLS] token. Since I have 35 kinds of relations and 25 kinds of entities, the actual affected code line is self.size_embeddings = nn.Embedding(100, size_embedding), and I changed 100 to my max_sent_len of 200, then it has solved.
During the training with my Chinese dataset, it always occurred the following error, could you please help me to solve it?
![image](https://user-images.githubusercontent.com/22999703/147940970-0b22e0ed-c91b-48e3-b5f8-7f623ec917b0.png)
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