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--- |
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license: apache-2.0 |
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datasets: |
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- Open-Orca/OpenOrca |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: question-answering |
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metrics: |
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- accuracy |
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--- |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** Andron00e |
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- **Language(s) (NLP):** Python (PyTorch, transformers, peft) |
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- **License:** apache-2.0 |
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- **Finetuned from model:** openlm-research/open_llama_3b |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/Andron00e/Fine-Tuning-project |
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### Training Data |
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<!-- 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. --> |
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https://huggingface.co/datasets/Open-Orca/OpenOrca |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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Evaluation of the model was carried out using EulerAI library, more [precisely](https://github.com/EleutherAI/lm-evaluation-harness/tree/e47e01beea79cfe87421e2dac49e64d499c240b4#task-versioning) |
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#### Testing Data |
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<!-- This should link to a Data Card if possible. --> |
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hellaswag testing dataset |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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Accuracy |
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### Results and Model Examination |
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| Task |Version| Metric |Value | |Stderr| |
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|---------|------:|--------|-----:|---|-----:| |
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|hellaswag| 0|acc |0.4899|卤 |0.0050| |
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| | |acc_norm|0.6506|卤 |0.0048| |
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## Citations |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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``` |
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@software{openlm2023openllama, |
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author = {Geng, Xinyang and Liu, Hao}, |
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title = {OpenLLaMA: An Open Reproduction of LLaMA}, |
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month = May, |
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year = 2023, |
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url = {https://github.com/openlm-research/open_llama} |
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} |
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``` |
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``` |
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@software{eval-harness, |
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author = {Gao, Leo and |
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Tow, Jonathan and |
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Biderman, Stella and |
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Black, Sid and |
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DiPofi, Anthony and |
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Foster, Charles and |
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Golding, Laurence and |
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Hsu, Jeffrey and |
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McDonell, Kyle and |
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Muennighoff, Niklas and |
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Phang, Jason and |
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Reynolds, Laria and |
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Tang, Eric and |
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Thite, Anish and |
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Wang, Ben and |
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Wang, Kevin and |
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Zou, Andy}, |
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title = {A framework for few-shot language model evaluation}, |
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month = sep, |
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year = 2021, |
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publisher = {Zenodo}, |
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version = {v0.0.1}, |
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doi = {10.5281/zenodo.5371628}, |
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url = {https://doi.org/10.5281/zenodo.5371628} |
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} |
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``` |
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## Model Card Authors and Contact |
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[Andron00e](https://github.com/Andron00e) |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Andron00e__YetAnother_Open-Llama-3B-LoRA-OpenOrca) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 18.18 | |
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| ARC (25-shot) | 25.94 | |
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| HellaSwag (10-shot) | 25.76 | |
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| MMLU (5-shot) | 24.65 | |
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| TruthfulQA (0-shot) | 0.0 | |
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| Winogrande (5-shot) | 50.83 | |
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| GSM8K (5-shot) | 0.0 | |
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| DROP (3-shot) | 0.04 | |
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