Model Card for Model ID
Model description
odiagenAI-bengali-base-model-v1 is based on Llama-7b and finetuned with 252k Bengali instruction set. The instruction set is translated data from open-source resources, resulting in good Bengali instruction understanding and response generation capabilities.
The code of Bengali data generation and other detailed information can be found in our Github project repository: https://github.com/OdiaGenAI/GenerativeAI_and_LLM_Odia.
Training hyper-parameters
Parameter | Value |
---|---|
Batch size | 128 |
Learning rate | 3e-4 |
Epochs | 5 |
Cutoff length | 256 |
Weight_decay | 0.001 |
Warmup_rate | 0.1 |
LR_scheduler | linear |
Lora r | 16 |
Lora target modules | (q_proj, k_proj, v_proj, o_proj) |
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-Bengali-LLM,
author = {Shantipriya Parida and Sambit Sekhar and Guneet Singh Kohli and Arghyadeep Sen and Shashikanta Sahoo},
title = {Bengali Instruction-Tuning Model},
year = {2023},
publisher = {Hugging Face},
journal = {Hugging Face repository},
howpublished = {\url{https://huggingface.co/OdiaGenAI}},
}
Contributions
- Shantipriya Parida
- Sambit Sekhar
- Guneet Singh Kohli
- Arghyadeep Sen
- Shashikanta Sahoo
- Downloads last month
- 506
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.