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I have a dataset with special tokens, and when fine tuning with the HF trainer I explicitly add those special tokens to the tokenizer. I looked through the documentation but I didn't see anywhere I could add those in the process. I think it would be a pretty useful feature, but I know it can definitely be very complicated to implement. It seems like every single model has decided to have different BOS and EOS tokens and then there's the whole PAD = EOS debacle.
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I have a dataset with special tokens, and when fine tuning with the HF trainer I explicitly add those special tokens to the tokenizer. I looked through the documentation but I didn't see anywhere I could add those in the process. I think it would be a pretty useful feature, but I know it can definitely be very complicated to implement. It seems like every single model has decided to have different BOS and EOS tokens and then there's the whole PAD = EOS debacle.
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