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tags: |
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- text-generation |
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- llama-2 |
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- llama-2-7B |
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- llama2-vietnamese |
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- vietnamese |
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--- |
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# Model Card for Llama 2 Fine-Tuned on Vietnamese Instructions |
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## Model Details |
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- Model Name: Llama-2-7b-vietnamese-20k |
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- Architecture: Llama 2 7B |
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- Fine-tuning Data Size: 20,000 instruction samples |
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- Purpose: To demonstrate the performance of the Llama 2 model on Vietnamese and gather initial insights. A more comprehensive model and evaluation will be released soon. |
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- Availability: The model checkpoint can be accessed on Hugging Face: ngoantech/Llama-2-7b-vietnamese-20k |
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## Intended Use |
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This model is intended for researchers, developers, and enthusiasts who are interested in understanding the performance of the Llama 2 model on Vietnamese. It can be used for generating Vietnamese text based on given instructions or for any other task that requires a Vietnamese language model. |
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## Example Output |
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## Limitations |
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- Data Size: The model was fine-tuned on a relatively small dataset of 20,000 instruction samples, which might not capture the full complexity and nuances of the Vietnamese language. |
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- Preliminary Model: This is an initial experiment with the Llama 2 architecture on Vietnamese. More refined versions and evaluations will be available soon. |
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- Performance: |
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Specific performance metrics on this fine-tuned model will be provided in the upcoming comprehensive evaluation. |
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## Ethical Considerations |
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- Bias and Fairness: Like any other machine learning model, there is a possibility that this model might reproduce or amplify biases present in the training data. |
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- Use in Critical Systems: As this is a preliminary model, it is recommended not to use it for mission-critical applications without proper validation. |
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- Fine-tuning Data: |
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The model was fine-tuned on a custom dataset of 20,000 instruction samples in Vietnamese. More details about the composition and source of this dataset will be provided in the detailed evaluation report. |
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## Credits |
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I would like to express our gratitude to the creators of the Llama 2 architecture and the Hugging Face community for their tools and resources. |
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## Contact |
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ngoantech@gmail.com |
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https://github.com/ngoanpv |
