Model: skit-ai/speechllm-1.5B
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, 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: 11.51
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: 16.68
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: 26.02
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: 64.98
name: Test Age Accuracy
verified: no, type: accuracy
value: 81.21
name: Test Accent Accuracy
verified: no
Likes: 7 | All-time downloads: 1717
Created: 2024-06-20 00:35:17