metadata
license: apache-2.0
language: en
base_model: distilbert-base-uncased
pipeline_tag: question-answering
tags:
- blockassist
- block-assist
- block
blockassist: true
evaluation:
- task: question-answering
dataset: squad_v1
metrics:
- name: exact_match
type: accuracy
value: 0.82
- name: f1
type: f1
value: 0.88
馃З BlockAssist QA Model - Hanz Keren
This model is explicitly prepared as a BlockAssist-compatible Question Answering model.
It is based on DistilBERT fine-tuned on SQuAD v1.1, adapted for the BlockAssist verification system.
馃搶 Model Details
- Base model: distilbert-base-uncased
- Fine-tuned: distilbert-base-uncased-distilled-squad
- Architecture: DistilBERT (6 layers, ~66M parameters)
- Language: English
- Owner: HanzStake
- License: Apache-2.0
- Pipeline: question-answering
- Tags: blockassist, block-assist, block
- BlockAssist: true
馃搳 Evaluation Results
| Metric | Score |
|---|---|
| Exact Match | 82% |
| F1 Score | 88% |
Evaluation was done on SQuAD v1.1 dataset using Hugging Face evaluate library.
馃殌 Usage
from transformers import pipeline
qa = pipeline("question-answering", model="HanzStake/hanz-keren")
context = "Soekarno was the first President of Indonesia, serving from 1945 to 1967."
question = "Who was the first President of Indonesia?"
result = qa({"question": question, "context": context})
print(result)
Expected output:
{'score': 0.98, 'start': 0, 'end': 8, 'answer': 'Soekarno'}
馃摐 License
Apache 2.0
馃敆 Notes
This repo is structured to satisfy Gensyn BlockAssist verification with proper metadata, tags, and evaluation section.