Comments (1)
It's up to you really; it depends on what you want to do at the end.
If it is a hierarchy (like, [Books, Author, Title]), then you don't need to replicate the data.
If it is a label for the data but the data has multiple labels (like, Wikipedia Stoicism is ... and Philosophy Stoicism is..), then you probably would benefit from the replication.
Closing for now, reopen as needed.
from ctrl.
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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from ctrl.