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dataset-genome-agriculture-benchmark-model
surabhi08/dataset-genome-agriculture-benchmark-model
dataset-genome-agriculture-benchmark-model is a machine learning model from surabhi08. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
This repository contains a PEFT (LoRA) fine-tuned adapter for GPT-OSS-20B trained using the AutoScientist pipeline from Adaption Labs.
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At a glance
- Library
- peft
- License
- mit
- Model type
- gpt_oss
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- f06dc5f0
Base models
Model card
From the Hugging Face model README
Dataset Genome Agriculture Benchmark Model
Model Overview
This repository contains a PEFT (LoRA) fine-tuned adapter for GPT-OSS-20B trained using the AutoScientist pipeline from Adaption Labs.
The model is designed for scientific reasoning tasks in agriculture, including:
- Observation analysis
- Research gap identification
- Hypothesis generation
- Experimental design
- Scientific conclusion generation
Base Model
- Base Model: togethercomputer/gpt-oss-20b-bf16
- Fine-tuning Method: PEFT (LoRA)
- Training Framework: AutoScientist (Adaption Labs)
Training Dataset
The model was trained using the Dataset Genome – Agriculture Benchmark dataset.
Dataset Repository:
https://huggingface.co/datasets/surabhi08/dataset-genome-agriculture-benchmark
Dataset Characteristics:
- Domain: Agriculture
- Records: 20
- Language: English
- Format: JSONL
- License: MIT
Intended Use
This model is intended for research and educational purposes involving:
- Scientific reasoning
- Agricultural AI
- Dataset benchmarking
- Hypothesis generation
- Experimental planning
Repository
GitHub:
Author
Surabhi M. S.
Created as part of the HackIndia 2026 AutoScientist Challenge.
License
MIT License
- Library
- peft
- Type
- gpt_oss
- License
- mit
- Languages
- en
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026