Model: mrisdi/emotion_classification
Author: mrisdi
Pipeline: image-classification
Library: transformers
Tags: transformers, tensorboard, safetensors, vit, image-classification, generated_from_trainer, dataset:imagefolder, base_model:google/vit-base-patch16-224-in21k, base_model:finetune:google/vit-base-patch16-224-in21k, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: google/vit-base-patch16-224-in21k
Card metadata: library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags: generated_from_trainer
datasets: imagefolder
metrics: accuracy
model-index: name: emotion_classification
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: 0.5125
verified: no
Likes: 0 | All-time downloads: 15
Created: 2024-09-06 01:36:11