Model: skit-ai/speechllm-2B
Author: skit-ai
Pipeline: feature-extraction
Library: transformers
Tags: transformers, safetensors, custom_model, feature-extraction, multi-modal, speech-language, custom_code, en, dataset:mozilla-foundation/common_voice_16_1, dataset:openslr/librispeech_asr, dataset:MLCommons/ml_spoken_words, dataset:Ar4ikov/iemocap_audio_text_splitted, doi:10.57967/hf/2625, license:apache-2.0, model-index, region:us
Card metadata: language: en
license: apache-2.0
library_name: transformers
tags: multi-modal, speech-language
datasets: mozilla-foundation/common_voice_16_1, openslr/librispeech_asr, MLCommons/ml_spoken_words, Ar4ikov/iemocap_audio_text_splitted
metrics: wer, accuracy
model-index: name: SpeechLLM
results: task: type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset: name: LibriSpeech (clean)
type: librispeech_asr
config: clean
split: test
args: language: en
metrics: type: wer
value: 6.73
name: Test WER
verified: no, task: type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset: name: LibriSpeech (other)
type: librispeech_asr
config: other
split: test
args: language: en
metrics: type: wer
value: 9.13
name: Test WER
verified: no, task: type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset: name: Common Voice 16.1
type: common_voice_16_1
split: test
args: language: en
metrics: type: wer
value: 25.66
name: Test WER
verified: no, task: type: audio-classification
name: Audio Classification
dataset: name: Common Voice 16.1
type: common_voice_16_1
split: test
args: language: en
metrics: type: accuracy
value: 60.41
name: Test Age Accuracy
verified: no, type: accuracy
value: 69.59
name: Test Accent Accuracy
verified: no
Likes: 18 | All-time downloads: 3089
Created: 2024-06-04 08:03:14