Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->
- Developed by: Andron00e
- Language(s) (NLP): Python (PyTorch, transformers, peft)
- License: apache-2.0
- Finetuned from model: openlm-research/open_llama_3b
Model Sources [optional]
<!-- Provide the basic links for the model. -->
- Repository: https://github.com/Andron00e/Fine-Tuning-project
Training Data
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> https://huggingface.co/datasets/Open-Orca/OpenOrca
Evaluation
<!-- This section describes the evaluation protocols and provides the results. --> Evaluation of the model was carried out using EulerAI library, more precisely
Testing Data
<!-- This should link to a Data Card if possible. --> hellaswag testing dataset
Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
Accuracy
Results and Model Examination
Task | Version | Metric | Value | Stderr | |
---|---|---|---|---|---|
hellaswag | 0 | acc | 0.4899 | ± | 0.0050 |
acc_norm | 0.6506 | ± | 0.0048 |
Citations
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
@software{openlm2023openllama,
author = {Geng, Xinyang and Liu, Hao},
title = {OpenLLaMA: An Open Reproduction of LLaMA},
month = May,
year = 2023,
url = {https://github.com/openlm-research/open_llama}
}
@software{eval-harness,
author = {Gao, Leo and
Tow, Jonathan and
Biderman, Stella and
Black, Sid and
DiPofi, Anthony and
Foster, Charles and
Golding, Laurence and
Hsu, Jeffrey and
McDonell, Kyle and
Muennighoff, Niklas and
Phang, Jason and
Reynolds, Laria and
Tang, Eric and
Thite, Anish and
Wang, Ben and
Wang, Kevin and
Zou, Andy},
title = {A framework for few-shot language model evaluation},
month = sep,
year = 2021,
publisher = {Zenodo},
version = {v0.0.1},
doi = {10.5281/zenodo.5371628},
url = {https://doi.org/10.5281/zenodo.5371628}
}