metadata
language: en
license: mit
tags:
- stylometry
- authorship-attribution
- bitcoin
- satoshi-nakamoto
- text-classification
pipeline_tag: text-classification
datasets:
- custom
metrics:
- accuracy
- f1
model-index:
- name: satoshi-stylometry
results:
- task:
type: text-classification
name: Authorship Attribution
metrics:
- name: Accuracy
type: accuracy
value: 0.991
- name: F1
type: f1
value: 0.983
Satoshi Stylometry
A ModernBERT-base model fine-tuned to detect Satoshi Nakamoto's writing style.
Usage
from transformers import pipeline
classifier = pipeline("text-classification", model="thestalwart/satoshi-stylometry")
result = classifier("The proof-of-work chain is the solution to the synchronization problem.")
print(result)
# [{'label': 'satoshi', 'score': 0.99}]
Training Data
- 572 Satoshi writings: BitcoinTalk posts, cryptography mailing list emails, P2P Foundation posts
- 1,546 non-Satoshi writings: Same era cryptography mailing list and BitcoinTalk forum posts
Results
99.1% accuracy on 350 held-out texts (97.8% Satoshi recall, 99.6% non-Satoshi recall).