Model: douwekiela/resnet-18-finetuned-dogfood
Author: douwekiela
Pipeline: image-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, resnet, image-classification, generated_from_trainer, dataset:imagefolder, dataset:lewtun/dog_food, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: license: apache-2.0
tags: generated_from_trainer
datasets: imagefolder, lewtun/dog_food
metrics: accuracy
model-index: name: resnet-18-finetuned-dogfood
results: task: name: Image Classification
type: image-classification
dataset: name: lewtun/dog_food
type: lewtun/dog_food
args: lewtun--dog_food
metrics: name: Accuracy
type: accuracy
value: 0.896
verified: no, task: type: image-classification
name: Image Classification
dataset: name: lewtun/dog_food
type: lewtun/dog_food
config: lewtun--dog_food
split: test
metrics: name: Accuracy
type: accuracy
value: 0.8466666666666667
verified: no, name: Precision Macro
type: precision
value: 0.8850127293141284
verified: no, name: Precision Micro
type: precision
value: 0.8466666666666667
verified: no, name: Precision Weighted
type: precision
value: 0.8939157698241645
verified: no, name: Recall Macro
type: recall
value: 0.8555113273379528
verified: no, name: Recall Micro
type: recall
value: 0.8466666666666667
verified: no, name: Recall Weighted
type: recall
value: 0.8466666666666667
verified: no, name: F1 Macro
type: f1
value: 0.8431399312051647
verified: no, name: F1 Micro
type: f1
value: 0.8466666666666667
verified: no, name: F1 Weighted
type: f1
value: 0.8430272582865614
verified: no, name: loss
type: loss
value: 0.3633290231227875
verified: no, name: matthews_correlation
type: matthews_correlation
value: 0.7973101366252381
verified: no
Likes: 0 | All-time downloads: 8554
Created: 2022-06-26 09:42:17