Model: erikejw/swinv2-small-patch4-window16-256-finetuned-eurosat
Author: erikejw
Pipeline: image-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, swinv2, image-classification, generated_from_trainer, dataset:imagefolder, model-index, endpoints_compatible, region:us
Card metadata: tags: generated_from_trainer
datasets: imagefolder
metrics: accuracy, f1, precision, recall
model-index: name: swinv2-small-patch4-window16-256-finetuned-eurosat
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: 0.9892592592592593
verified: no, name: F1
type: f1
value: 0.9892542163878574
verified: no, name: Precision
type: precision
value: 0.9892896521886161
verified: no, name: Recall
type: recall
value: 0.9892592592592593
verified: no
Likes: 0 | All-time downloads: 610
Created: 2022-09-26 01:44:49