kulkarni-atharva / kulkarni-atharva/TextToTale
train llm on larger dataset
Open
good first issue
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
Currently it is trained on 3k stories. Train it on a larger dataset. Dataset already exists in this repo.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the training notebook or entry point and the existing dataset in the repository. Confirm the dataset size, choose a larger target with the maintainer, and identify how training results are evaluated. Done means the model has been trained on the agreed larger dataset with reproducible evidence of the result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100