Model: kingabzpro/wav2vec2-large-xls-r-300m-Swedish
Author: kingabzpro
Pipeline: automatic-speech-recognition
Library: transformers
Tags: transformers, pytorch, wav2vec2, automatic-speech-recognition, robust-speech-event, hf-asr-leaderboard, sv, dataset:mozilla-foundation/common_voice_8_0, base_model:facebook/wav2vec2-xls-r-300m, base_model:finetune:facebook/wav2vec2-xls-r-300m, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: facebook/wav2vec2-xls-r-300m
Card metadata: language: sv
license: apache-2.0
tags: automatic-speech-recognition, robust-speech-event, hf-asr-leaderboard
datasets: mozilla-foundation/common_voice_8_0
metrics: wer, cer
base_model: facebook/wav2vec2-xls-r-300m
model-index: name: wav2vec2-xls-r-300m-swedish
results: task: type: automatic-speech-recognition
name: Speech Recognition
dataset: name: Common Voice sv-SE
type: mozilla-foundation/common_voice_8_0
args: sv-SE
metrics: type: wer
value: 24.73
name: Test WER
args: learning_rate: 7.5e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 50
mixed_precision_training: Native AMP
verified: no, type: cer
value: 7.58
name: Test CER
args: learning_rate: 7.5e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 50
mixed_precision_training: Native AMP
verified: no
Likes: 1 | All-time downloads: 509
Created: 2022-03-02 23:29:05