gemma-4-agriculture-qa

Gemma 4 Agriculture Assistant

A domain-specific instruction-tuned version of Google Gemma 4 E4B Instruct, fine-tuned using QLoRA for agriculture, livestock, veterinary, and dairy farming question answering.

Model Details

Model Description

This model is built on google/gemma-4-E4B-it and fine-tuned for agricultural question answering using supervised instruction tuning.

It is designed to assist with:

• 🌾 Crop management
• 🐄 Livestock health
• 💉 Animal vaccination
• 🌱 Soil health
• 💧 Irrigation
• 🐃 Dairy farming
• 🐐 Goat & sheep farming
• 🦆 Poultry management
• 🌿 Pest and disease management

Developed by

Kamal Jaiswal

Model Type

Instruction-tuned Causal Language Model

Base Model

google/gemma-4-E4B-it

Fine-tuned From

google/gemma-4-E4B-it

Languages

• English

License

Gemma License

Training Details

Fine-tuning Method

• QLoRA
• LoRA Adapters
• 4-bit Quantization
• Supervised Fine-Tuning (SFT)

Training Metrics

Evaluation

The model was evaluated on a held-out validation dataset after one epoch of supervised fine-tuning.

Evaluation Metrics

Results

The model successfully learned domain-specific agricultural knowledge while maintaining stable validation performance.

Key observations:

• Validation Loss: 0.9112
• Perplexity: 2.49, indicating the model predicts validation tokens with relatively high confidence.
• Mean Token Accuracy: 79.73%, showing strong token-level prediction performance.
• The model completed one epoch of QLoRA fine-tuning without signs of instability.

Training Summary

Notes

These metrics represent an initial proof-of-concept fine-tuning run. Future versions of the model will be evaluated on domain-specific agriculture and livestock question-answering benchmarks, multilingual datasets (English and Hindi), and expert human evaluations.

Intended Uses

This model is suitable for:

• Agriculture assistants
• Livestock advisory
• Veterinary Q&A
• Dairy farming support
• Educational applications
• AI-powered agricultural chatbots

Future Roadmap

• ✅ Agriculture instruction tuning
• 🔄 Hindi fine-tuning
• 🔄 Hinglish support
• 🔄 Multilingual agriculture assistant
• 🔄 Image-based crop disease diagnosis
• 🔄 Livestock image analysis
• 🔄 RAG with government agriculture and veterinary knowledge