Model: manueljohnson063/canary-qwen-2.5b
Author: manueljohnson063
Pipeline: automatic-speech-recognition
Library: nemo
Tags: nemo, safetensors, automatic-speech-recognition, speech, audio, Transformer, FastConformer, Conformer, pytorch, NeMo, Qwen, hf-asr-leaderboard, en, dataset:Granary, dataset:YTC, dataset:Yodas2, dataset:LibriLight, dataset:librispeech_asr, dataset:fisher_corpus, dataset:Switchboard-1, dataset:WSJ-0, dataset:WSJ-1, dataset:National-Singapore-Corpus-Part-1, dataset:National-Singapore-Corpus-Part-6, dataset:vctk, dataset:voxpopuli, dataset:europarl, dataset:multilingual_librispeech, dataset:fleurs, dataset:mozilla-foundation/common_voice_8_0, dataset:MLCommons/peoples_speech, arxiv:1706.03762, arxiv:2503.05931, arxiv:2505.13404, arxiv:2310.09424, arxiv:2104.02821, base_model:Qwen/Qwen3-1.7B, base_model:finetune:Qwen/Qwen3-1.7B, license:cc-by-4.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: Qwen/Qwen3-1.7B
Card metadata: license: cc-by-4.0
language: en
library_name: nemo
datasets: Granary, YTC, Yodas2, LibriLight, librispeech_asr, fisher_corpus, Switchboard-1, WSJ-0, WSJ-1, National-Singapore-Corpus-Part-1, National-Singapore-Corpus-Part-6, vctk, voxpopuli, europarl, multilingual_librispeech, fleurs, mozilla-foundation/common_voice_8_0, MLCommons/peoples_speech
tags: automatic-speech-recognition, speech, audio, Transformer, FastConformer, Conformer, pytorch, NeMo, Qwen, hf-asr-leaderboard
widget: example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac, example_title: Librispeech sample 2
src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
model-index: name: canary-qwen-2.5b
results: task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: AMI (Meetings test)
type: edinburghcstr/ami
config: ihm
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 10.19
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: Earnings-22
type: revdotcom/earnings22
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 10.45
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: GigaSpeech
type: speechcolab/gigaspeech
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 9.43
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: LibriSpeech (clean)
type: librispeech_asr
config: other
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 1.61
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: LibriSpeech (other)
type: librispeech_asr
config: other
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 3.1
verified: no, task: type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset: name: SPGI Speech
type: kensho/spgispeech
config: test
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 1.9
verified: no, task: type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset: name: tedlium-v3
type: LIUM/tedlium
config: release1
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 2.71
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: Vox Populi
type: facebook/voxpopuli
config: en
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 5.66
verified: no
metrics: wer
base_model: nvidia/canary-1b-flash, Qwen/Qwen3-1.7B
Likes: 0 | All-time downloads: 74
Created: 2025-07-22 07:46:09