Model: aspis/swin-finetuned-food101
Author: aspis
Pipeline: image-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, swin, image-classification, generated_from_trainer, dataset:food101, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: license: apache-2.0
tags: generated_from_trainer
datasets: food101
metrics: accuracy
model-index: name: swin-finetuned-food101
results: task: name: Image Classification
type: image-classification
dataset: name: food101
type: food101
args: default
metrics: name: Accuracy
type: accuracy
value: 0.9210297029702971
verified: no, task: type: image-classification
name: Image Classification
dataset: name: food101
type: food101
config: default
split: validation
metrics: name: Accuracy
type: accuracy
value: 0.9135841584158416
verified: no, name: Precision Macro
type: precision
value: 0.9151645786633058
verified: no, name: Precision Micro
type: precision
value: 0.9135841584158416
verified: no, name: Precision Weighted
type: precision
value: 0.915164578663306
verified: no, name: Recall Macro
type: recall
value: 0.9135841584158414
verified: no, name: Recall Micro
type: recall
value: 0.9135841584158416
verified: no, name: Recall Weighted
type: recall
value: 0.9135841584158416
verified: no, name: F1 Macro
type: f1
value: 0.9138785016966742
verified: no, name: F1 Micro
type: f1
value: 0.9135841584158415
verified: no, name: F1 Weighted
type: f1
value: 0.9138785016966743
verified: no, name: loss
type: loss
value: 0.30761435627937317
verified: no
Likes: 5 | All-time downloads: 5260
Created: 2022-06-09 10:48:09