metadata
datasets:
- FreedomIntelligence/alpaca-gpt4-indonesian
- FreedomIntelligence/evol-instruct-indonesian
- FreedomIntelligence/sharegpt-indonesian
- jakartaresearch/indoqa
language:
- id
library_name: transformers
pipeline_tag: text-generation
Notebook Info
Reference:
- https://huggingface.co/docs/transformers/chat_templating
- https://github.com/MicrosoftDocs/azure-docs/blob/main/articles/ai-services/openai/includes/chat-markup-language.md
- https://huggingface.co/datasets/FreedomIntelligence/alpaca-gpt4-indonesian
- https://huggingface.co/datasets/FreedomIntelligence/sharegpt-indonesian
- https://huggingface.co/datasets/FreedomIntelligence/evol-instruct-indonesian
- https://huggingface.co/datasets/jakartaresearch/indoqa
Task: Chat or Conversational
Input: User's prompt containing chat templated text in string format
Output: Model's generated text in string format
Experiment:
- Use bos_token and eos_token to replace <|im_start|> and <|im_end|> in ChatML. (Inspired by: https://asmirnov.xyz/doppelganger)
- Use left padding and left truncation to conform to max_length.
- Set max_length = 256 in the training process, which consumes 33.7 GB of memory.
Notebook: