Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca

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/openllama3b

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

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}
}

Model Card Authors and Contact

Andron00e