audio_cls

seoyunq/audio_cls

audio_cls is a audio classification model from seoyunq. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Audio Classification
Library: transformers
Model type: wav2vec2
Access: Public
Created: Dec 22, 2025
Updated: Dec 22, 2025
SHA: 03b6f009

Model card

From the Hugging Face model README

audio_cls

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6602
Accuracy: 0.8655

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	15	0.9647	0.8319
No log	2.0	30	0.8211	0.8151
No log	3.0	45	0.7380	0.8487
No log	4.0	60	0.6426	0.8992
No log	5.0	75	0.6602	0.8655

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Task: Audio Classification
Library: transformers
Type: wav2vec2
Created: Dec 22, 2025
Updated: Dec 22, 2025