Has anyone had a good trained model
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 1.5k
- Forks
- 125
- Avg merge
- 22d 8m
- Merged PRs (30d)
- 1
Description
Has anyone had got a good trained model and can share what dataset, model and training parameters/flags they used for training and eval?
I cant get good scores with kblam using Llama-3-8B-Instruct, text-embedding-3-large and the synthetic dataset.
Maybe also share what the final train loss and step count was.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Gather and document the dataset, model, training and evaluation parameters, final training loss, and step count for a reproducible configuration; done means the setup and resulting scores are clearly recorded.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100