Model: KiViDrag/ViT_bloodmnist_std_30
Author: KiViDrag
Pipeline: image-classification
Library: transformers
Tags: transformers, tensorboard, safetensors, vit, image-classification, generated_from_trainer, dataset:medmnist-v2, base_model:google/vit-base-patch16-224, base_model:finetune:google/vit-base-patch16-224, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: google/vit-base-patch16-224
Card metadata: library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags: generated_from_trainer
datasets: medmnist-v2
metrics: accuracy, f1
model-index: name: ViT_bloodmnist_std_30
results: task: name: Image Classification
type: image-classification
dataset: name: medmnist-v2
type: medmnist-v2
config: bloodmnist
split: validation
args: bloodmnist
metrics: name: Accuracy
type: accuracy
value: 0.9429991230634317
verified: no, name: F1
type: f1
value: 0.9339022055894328
verified: no
Likes: 0 | All-time downloads: 14
Created: 2024-11-09 12:56:54