audio_cls_hhd2

lsh003827/audio_cls_hhd2

audio_cls_hhd2 is a audio classification model from lsh003827. 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: Nov 7, 2025
Updated: Nov 7, 2025
SHA: 4df7bff2

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: 0.2966
Accuracy: 0.9748

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	0.7397	0.9412
No log	2.0	30	0.5443	0.9664
No log	3.0	45	0.4207	0.9580
No log	4.0	60	0.3245	0.9832
No log	5.0	75	0.2966	0.9748

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