Dhyey3559/gujarati-finetune-llama3b

Overview

This model, developed by Dhyey3559, is an experimental Gujarati language model with 1 billion parameters, fine-tuned from the unsloth/Llama-3.2-1B architecture. It represents a prototype effort to create a language model specifically for Gujarati.

Key Characteristics

• Base Model: Fine-tuned from unsloth/Llama-3.2-1B.
• Language Focus: Specifically designed for the Gujarati language.
• Training Data: Trained on a relatively small dataset of approximately 10,000 samples.
• Current Performance: Evaluated using BLEU score, indicating that accuracy is not optimal at this prototype stage.
• Development Status: This is a prototype intended solely for research and testing; it is not recommended for production environments due to potential inconsistencies or incorrect outputs.

Future Development

Future work for this model is planned to focus on:

• Expanding the training dataset significantly.
• Optimizing hyperparameters to improve model performance.
• General enhancements to overall accuracy and output quality.

Use Cases

• Research and Development: Ideal for researchers exploring fine-tuning techniques for low-resource languages like Gujarati.
• Experimental Prototyping: Suitable for testing initial concepts related to Gujarati NLP applications.
• Language Study: Can be used to analyze the behavior of fine-tuned models on specific linguistic datasets.