Model: oschamp/vit-artworkclassifier
Author: oschamp
Pipeline: image-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, safetensors, vit, image-classification, generated_from_trainer, dataset:imagefolder, base_model:google/vit-base-patch16-224-in21k, base_model:finetune:google/vit-base-patch16-224-in21k, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: google/vit-base-patch16-224-in21k
Card metadata: license: apache-2.0
tags: generated_from_trainer
datasets: imagefolder
metrics: accuracy
base_model: google/vit-base-patch16-224-in21k
model-index: name: vit-artworkclassifier
results: task: type: image-classification
name: Image Classification
dataset: name: imagefolder
type: imagefolder
config: artbench10-vit
split: test
args: artbench10-vit
metrics: type: accuracy
value: 0.5947786606129398
name: Accuracy
verified: no
Likes: 2 | All-time downloads: 65298
Created: 2023-02-21 20:36:25