Model: davanstrien/distilhubert-finetuned-AESDD
Author: davanstrien
Pipeline: audio-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, hubert, audio-classification, generated_from_trainer, dataset:EdwardLin2023/AESDD, base_model:ntu-spml/distilhubert, base_model:finetune:ntu-spml/distilhubert, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: ntu-spml/distilhubert
Card metadata: license: apache-2.0
base_model: ntu-spml/distilhubert
tags: generated_from_trainer
datasets: EdwardLin2023/AESDD
metrics: accuracy
model-index: name: distilhubert-finetuned-AESDD
results: task: name: Audio Classification
type: audio-classification
dataset: name: aesdd
type: aesdd
config: AESDD
split: train
args: AESDD
metrics: name: Accuracy
type: accuracy
value: 0.9016393442622951
verified: no
Likes: 0 | All-time downloads: 391
Created: 2023-08-02 14:54:35