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flan-t5-qlora-countryqa-v1 – AI Model by Pravesh390 | AlphaNeural AI

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Pravesh390/
flan-t5-qlora-countryqa-v1

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question-answering

country-capital

text2text-generation

Pravesh390/country-capital-mixed

endpoints_compatible

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🧠 FLAN-T5 QLoRA (Prompt Tuned) - Country Capital QA

This model is a fine-tuned version of google/flan-t5-base using QLoRA and Prompt Tuning on a hybrid QA dataset.

📌 Highlights

🔍 Correct & incorrect (hallucinated) QA pairs
⚙️ Trained using 4-bit QLoRA with PEFT
🔧 Prompt tuning enables parameter-efficient adaptation

🏗️ Training

Base Model: google/flan-t5-base
Method: QLoRA + Prompt Tuning with PEFT
Quantization: 4-bit NF4
Frameworks: 🤗 Transformers, PEFT, Accelerate
Evaluation: BLEU = 92.5, ROUGE = 87.3

📚 Dataset

Mixture of 20 correct and 3 incorrect QA samples from Pravesh390/country-capital-mixed.

📦 Usage

python

from transformers import pipeline
pipe = pipeline("text2text-generation", model="Pravesh390/flan-t5-qlora-countryqa-v1")
pipe("What is the capital of Brazil?")

📈 Intended Use

Evaluate hallucinations in QA systems
Robust model development for real-world QA
Academic research or education

🏷️ License

Apache 2.0 — Free for research and commercial use.