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
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.
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
Detailed results can be found here
| 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 |