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README.md
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library_name: transformers
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pipeline_tag: question-answering
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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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- **Shared by [optional]:** Andron00e
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- **Model type:**
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- **Language(s) (NLP):** Python (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:
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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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## Citation
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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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## Model Card Authors and Contact
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[Andron00e](https://github.com/Andron00e)
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