Comments (4)
leejason
commented on August 22, 2024
2
Interesting ideas & thanks. Let me try later.
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keskarnitish
commented on August 22, 2024
You can't add a control code that isn't in the vocabulary. Typically, exact specification of the token is not needed, a synonym (or really, any unused code) should work. What did you have in mind?
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leejason
commented on August 22, 2024
Patent classification codes which may have 600+ codes. Assuming that such codes are not in vocabulary, would CTRL model work?
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keskarnitish
commented on August 22, 2024
No, they certainly need to be in the vocabulary at the moment. But, maybe what can work is that you can just start using word2idx[0], word2idx[1], ..., word2idx[600] as the control codes? It's convenient for the word used for the control code to have some relevance to the domain but that's not important to the model.
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Related Issues (20)
- Using ctrl for summarization HOT 2
- TPU configuration - fine tuning
- Is that a way to do "general" generation? HOT 1
- Source attribution - Cannot replicate results
- why set "seq_length = min(args.generate_num, 256)" HOT 1
- training curriculum used
- repeats the last word on AWS HOT 1
- License for pre-trained model
- Sampling method used for translation
- tips and scripts related to data collection HOT 1
- Are control codes required for finetuning?
- Altering the tone of the output
- Will BERT+transformer-decoder better than tensor2tensor for text-generation?
- control code not recognised HOT 2
- Issues with pytorch_generation.py when running the Colab exercise
- CTRL model can not work in huggingface transformers HOT 2
- 12 layer (huggingface gpt-2 equivalent) ctrl model?
- Cuda out of memory issue.
- A transformer decoer-based model or seq2seq model?
- control code
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