Model: ampclass/AST_EGTZAN_PLUS
Author: ampclass
Pipeline: audio-classification
Library: transformers
Tags: transformers, pytorch, audio-spectrogram-transformer, audio-classification, generated_from_trainer, dataset:audiofolder, base_model:MIT/ast-finetuned-audioset-10-10-0.4593, base_model:finetune:MIT/ast-finetuned-audioset-10-10-0.4593, license:bsd-3-clause, model-index, endpoints_compatible, region:us
Base models (finetune): id: MIT/ast-finetuned-audioset-10-10-0.4593
Card metadata: license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags: generated_from_trainer
datasets: audiofolder
metrics: accuracy
model-index: name: test_ast
results: task: name: Audio Classification
type: audio-classification
dataset: name: audiofolder
type: audiofolder
config: default
split: train
args: default
metrics: name: Accuracy
type: accuracy
value: 0.7758620689655172
verified: no
Likes: 0 | All-time downloads: 1518
Created: 2023-11-17 13:30:38