distilhubert-finetuned-gtzan

jason1i/distilhubert-finetuned-gtzan

distilhubert-finetuned-gtzan is a audio classification model from jason1i. 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 apache-2.0.

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

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At a glance

Task: Audio Classification
Library: transformers
License: apache-2.0
Model type: hubert
Access: Public
Created: Jul 1, 2023
Updated: Jul 1, 2023
SHA: c2aae920

Datasets

marsyas/gtzan

Model card

From the Hugging Face model README

distilhubert-finetuned-gtzan

This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 1.0908
Accuracy: 0.84

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1531	1.0	113	2.1667	0.41
1.6622	2.0	226	1.6138	0.63
1.3112	3.0	339	1.2047	0.7
0.9374	4.0	452	0.9595	0.73
0.5475	5.0	565	0.7239	0.82
0.4845	6.0	678	0.7406	0.75
0.2489	7.0	791	0.6838	0.78
0.3272	8.0	904	0.8447	0.79
0.2244	9.0	1017	0.7184	0.81
0.0353	10.0	1130	0.8800	0.79
0.0201	11.0	1243	0.8800	0.83
0.0079	12.0	1356	0.8207	0.83
0.004	13.0	1469	0.9218	0.82
0.003	14.0	1582	1.0004	0.83
0.0024	15.0	1695	0.9446	0.84
0.0021	16.0	1808	0.9802	0.85
0.0018	17.0	1921	0.9766	0.84
0.0017	18.0	2034	1.0597	0.84
0.0014	19.0	2147	0.9541	0.84
0.0012	20.0	2260	1.0408	0.84
0.0011	21.0	2373	1.0364	0.84
0.001	22.0	2486	1.0993	0.84
0.001	23.0	2599	1.0620	0.84
0.0009	24.0	2712	1.0193	0.83
0.0009	25.0	2825	1.0164	0.83
0.0009	26.0	2938	1.0293	0.84
0.0008	27.0	3051	1.0478	0.84
0.0008	28.0	3164	1.0727	0.84
0.0008	29.0	3277	1.0773	0.84
0.0008	30.0	3390	1.0908	0.84

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Audio Classification
Library: transformers
Type: hubert
License: apache-2.0
Created: Jul 1, 2023
Updated: Jul 1, 2023