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finetunning-week1
illeto/finetunning-week1
finetunning-week1 is a machine learning model from illeto. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
The Pythia-160M model is designed for research on language model behavior and interpretability, trained on the Pile dataset. Here we've evaluated it on HELLASWAG and can be fine-tuned for further experimentation.
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Updated Oct 21, 2024
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At a glance
- Access
- Public
- Created
- Oct 20, 2024
- Updated
- Oct 21, 2024
- SHA
- 9e409372
Base models
Model card
From the Hugging Face model README
Model Card
The Pythia-160M model is designed for research on language model behavior and interpretability, trained on the Pile dataset. Here we've evaluated it on HELLASWAG and can be fine-tuned for further experimentation.
Hellaswag Eval
Evaluated on the Eleuther evaluation harness, revision 100,000 steps
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| hellaswag | 1 | none | 0 | acc | ↑ | 0.2872 | ± | 0.0045 |
| none | 0 | acc_norm | ↑ | 0.3082 | ± | 0.0046 |
How to Use
Done just an exercise - not intended for deployment or human-facing interactions.
- Created
- Oct 20, 2024
- Updated
- Oct 21, 2024