Model: sz-mp/em_ctc
Author: sz-mp
Pipeline: automatic-speech-recognition
Library: transformers
Tags: transformers, pytorch, wav2vec2, automatic-speech-recognition, wav_sub-P001, generated_from_trainer, dataset:audiofolder, base_model:facebook/wav2vec2-large-xlsr-53, base_model:finetune:facebook/wav2vec2-large-xlsr-53, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: facebook/wav2vec2-large-xlsr-53
Card metadata: license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags: automatic-speech-recognition, wav_sub-P001, generated_from_trainer
datasets: audiofolder
metrics: wer
model-index: name: em_ctc
results: task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: WAV_SUB-P001 - TR
type: audiofolder
config: default
split: validation
args: Config: tr, Training split: train+validation, Eval split: test
metrics: name: Wer
type: wer
value: 0.9843253066787824
verified: no
Likes: 0 | All-time downloads: 6
Created: 2023-09-27 12:51:18