--- language: - or license: cc-by-nc-4.0 model-index: - name: odia_llama2_7B_base results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 50.77 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OdiaGenAI/odia_llama2_7B_base name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 75.94 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OdiaGenAI/odia_llama2_7B_base name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 46.1 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OdiaGenAI/odia_llama2_7B_base name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 37.27 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OdiaGenAI/odia_llama2_7B_base name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 70.8 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OdiaGenAI/odia_llama2_7B_base name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 14.94 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OdiaGenAI/odia_llama2_7B_base name: Open LLM Leaderboard --- # Model Card for Model ID [![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC_BY--NC--SA_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/) ## Model description odia_llama2_7B_base is based on Llama2-7b and finetuned with 180k Odia instruction set. The instruction set is translated data from open-source resources and a prepared domain knowledge instruction set, resulting in good Odia instruction understanding and response generation capabilities. The code of Odia data generation and other detailed information can be found in our Github project repository: https://github.com/OdiaGenAI/GenerativeAI_and_LLM_Odia. Instructions for running it can be found at https://github.com/OdiaGenAI/GenerativeAI_and_LLM_Odia. ### Licensing Information This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa]. [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa] [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/ [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png [cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg ### Citation Information If you find this helpful repository, please consider giving 👏 and citing: ``` @misc{OdiaGenAI_Odia_Llama2_7b_base, author = {Shantipriya Parida and Sambit Sekhar and Guneet Singh Kohli}, title = {OdiaGenAI_Odia_Llama2_7b_base}, year = {2023}, publisher = {Hugging Face}, journal = {Hugging Face repository}, howpublished = {\url{https://huggingface.co/OdiaGenAI}}, } ``` Contributors: - Guneet Singh Kohli - Sambit Shekhar - Shantipriya Parida # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_OdiaGenAI__odia_llama2_7B_base) | Metric |Value| |---------------------------------|----:| |Avg. |49.30| |AI2 Reasoning Challenge (25-Shot)|50.77| |HellaSwag (10-Shot) |75.94| |MMLU (5-Shot) |46.10| |TruthfulQA (0-shot) |37.27| |Winogrande (5-shot) |70.80| |GSM8k (5-shot) |14.94|