audio_cls

hbhc2866/audio_cls

audio_cls is a audio classification model from hbhc2866. 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: 74912199

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: 2.6529
Accuracy: 0.0672

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	2.6500	0.0672
No log	2.0	30	2.6574	0.0504
No log	3.0	45	2.6554	0.0588
No log	4.0	60	2.6542	0.0672
No log	5.0	75	2.6529	0.0672

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