Model: Mitchins/tinybytecnn-fiction-classifier
Author: Mitchins
Pipeline: text-classification
Library: pytorch
Tags: pytorch, safetensors, byte_cnn, text-classification, fiction-detection, byte-level, cnn, en, dataset:HuggingFaceTB/cosmopedia, dataset:BEE-spoke-data/gutenberg-en-v1-clean, dataset:common-pile/arxiv_abstracts, dataset:ccdv/cnn_dailymail, license:apache-2.0, model-index, region:us
Card metadata: language: en
license: apache-2.0
library_name: pytorch
tags: text-classification, fiction-detection, byte-level, cnn
datasets: HuggingFaceTB/cosmopedia, BEE-spoke-data/gutenberg-en-v1-clean, common-pile/arxiv_abstracts, ccdv/cnn_dailymail
metrics: accuracy, f1, roc_auc
model-index: name: TinyByteCNN-Fiction-Classifier
results: task: type: text-classification
name: Fiction vs Non-Fiction Classification
dataset: name: Custom Fiction/Non-Fiction Dataset (85k samples)
type: custom
split: validation
metrics: type: accuracy
value: 99.91
name: Validation Accuracy
verified: no, type: f1
value: 99.91
name: F1 Score
verified: no, type: roc_auc
value: 99.99
name: ROC AUC
verified: no, task: type: text-classification
name: Curated Test Samples
dataset: name: 18 Diverse Fiction/Non-Fiction Samples
type: curated
split: test
metrics: type: accuracy
value: 100
name: Test Accuracy
verified: no, type: confidence_avg
value: 96.3
name: Average Confidence
verified: no
Likes: 0 | All-time downloads: 44
Created: 2025-09-02 08:31:16