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--- |
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license: llama2 |
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language: |
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- en |
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- bo |
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base_model: |
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- meta-llama/Llama-2-7b-hf |
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--- |
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A supervised fine-tuned model based on Llama-2-7b-hf. |
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We use the FLAN datasets for training. |
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#### Hyper-parameters: |
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* lr: 3e-5 |
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* batch size: 0.25M (2K*128) |
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* lr scheduler: cosine |
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* min lr: 1e-5 |
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* lr decay iters: 2048 |
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## Citation |
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If you find this model is useful in your work, please cite it with: |
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``` |
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@inproceedings{tao-etal-2024-unlocking, |
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title = "Unlocking the Potential of Model Merging for Low-Resource Languages", |
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author = "Tao, Mingxu and |
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Zhang, Chen and |
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Huang, Quzhe and |
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Ma, Tianyao and |
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Huang, Songfang and |
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Zhao, Dongyan and |
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Feng, Yansong", |
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editor = "Al-Onaizan, Yaser and |
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Bansal, Mohit and |
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Chen, Yun-Nung", |
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booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024", |
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month = nov, |
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year = "2024", |
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address = "Miami, Florida, USA", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2024.findings-emnlp.508", |
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doi = "10.18653/v1/2024.findings-emnlp.508", |
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pages = "8705--8720" |
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} |
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``` |
