audio_cls_hhd2

RYUGWANGJIN/audio_cls_hhd2

audio_cls_hhd2 is a audio classification model from RYUGWANGJIN. 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. --

Downloads · 30 days

5% of all-time downloads

All-time downloads

Public

Parameters

94.6M

378 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors378 MB · 100%

At a glance

Task: Audio Classification
Library: transformers
Model type: wav2vec2
Access: Public
Created: Nov 7, 2025
Updated: Nov 7, 2025
SHA: 3d4ea218

Model card

From the Hugging Face model README

audio_cls_hhd2

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

Loss: 0.5644
Accuracy: 0.8739

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	0.7943	0.8403
No log	2.0	30	0.7931	0.8151
No log	3.0	45	0.6954	0.8319
No log	4.0	60	0.5807	0.8655
No log	5.0	75	0.5644	0.8739

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1

Task: Audio Classification
Library: transformers
Type: wav2vec2
Created: Nov 7, 2025
Updated: Nov 7, 2025