ast-tennis

ahmedmohamed55/ast-tennis

ast-tennis is a audio classification model from ahmedmohamed55. 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. The card lists the license as bsd-3-clause.

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

Downloads · 30 days

12% of all-time downloads

All-time downloads

410

Public

Parameters

86.2M

345 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors345 MB · 100%

At a glance

Task: Audio Classification
Library: transformers
License: bsd-3-clause
Model type: audio-spectrogram-transformer
Access: Public
Created: Jul 22, 2026
Updated: Jul 22, 2026
SHA: 77f53c84

Base models

MIT/ast-finetuned-audioset-10-10-0.4593

Model card

From the Hugging Face model README

ast-tennis

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1345
Accuracy: 0.9828
F1: 0.9815

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	15	0.5728	0.8103	0.8084
0.8515	2.0	30	0.2800	0.9138	0.9143
0.3041	3.0	45	0.1779	0.9310	0.9262
0.0946	4.0	60	0.1539	0.9310	0.9262
0.0946	5.0	75	0.0899	0.9483	0.9426
0.0256	6.0	90	0.0683	0.9828	0.9815
0.0062	7.0	105	0.0793	0.9655	0.9623
0.0017	8.0	120	0.1586	0.9310	0.9274
0.0017	9.0	135	0.1103	0.9828	0.9815
0.0008	10.0	150	0.1142	0.9828	0.9815
0.0006	11.0	165	0.1460	0.9655	0.9633
0.0005	12.0	180	0.1489	0.9655	0.9633
0.0005	13.0	195	0.1356	0.9828	0.9815
0.0005	14.0	210	0.1343	0.9828	0.9815
0.0005	15.0	225	0.1345	0.9828	0.9815

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

Task: Audio Classification
Library: transformers
Type: audio-spectrogram-transformer
License: bsd-3-clause
Created: Jul 22, 2026
Updated: Jul 22, 2026