Model: hyeongjin99/vit-base-aihub_model
Author: hyeongjin99
Pipeline: image-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, vit, image-classification, generated_from_trainer, dataset:imagefolder, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: license: apache-2.0
tags: generated_from_trainer
datasets: imagefolder
metrics: accuracy, precision, recall, f1
model-index: name: vit-base-aihub_model
results: task: name: Image Classification
type: image-classification
dataset: name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics: name: Accuracy
type: accuracy
value: 0.9979173897952099
verified: no, name: Precision
type: precision
value: 0.9981546674586633
verified: no, name: Recall
type: recall
value: 0.9976078463525905
verified: no, name: F1
type: f1
value: 0.9978801278905362
verified: no
Likes: 0 | All-time downloads: 433
Created: 2023-06-29 07:38:02