alefiury / audio-classification updated 2 years ago

wav2vec2-large-xlsr-53-gender-recognition-librispeech

Name: wav2vec2-large-xlsr-53-gender-recognition-librispeech
Author: alefiury

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on Librispeech-clean-100 for gender recognition. It achieves the following results on the evaluation set: - Loss: 0.0061 - F1: 0.9993

Params

320 M

Context

—

Downloads 30d

626 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

911 K626 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	1.3 GB	1.9 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: Wav2Vec2ForSequenceClassification
Parameters: 320 M
Tensor type: F32
Vocabulary: 32
Layers / heads: 24 / 16
Licence: apache-2.0
First seen on the Hub: 2023-04-24
Training datasets: librispeech_asr
Added to our catalog: 2026-07-28

Compare with

clap-htsat-fused 6.9 M ast-finetuned-audioset-10-10-0.4593 1.2 M wav2vec2-large-robust-12-ft-emotion-msp-dim 751 K MERT-v1-330M 560 K MuQ-large-msd-iter 292 K wav2vec2-large-robust-24-ft-age-gender 255 K

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB