Model: dini-r-a/emotion_classification
Author: dini-r-a
Pipeline: image-classification
Library: transformers
Tags: transformers, pytorch, 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: 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: FastJobs--Visual_Emotional_Analysis
split: train[:-1]
args: FastJobs--Visual_Emotional_Analysis
metrics: name: Accuracy
type: accuracy
value: 0.5625
verified: no
Likes: 0 | All-time downloads: 624
Created: 2023-09-14 05:43:05