distilhubert-finetuned-gtzan

catactivationsound/distilhubert-finetuned-gtzan

distilhubert-finetuned-gtzan is a audio classification model from catactivationsound. 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 23, 2023
Updated: Jul 23, 2023
SHA: e418bb67

Base models

ntu-spml/distilhubert

Datasets

marsyas/gtzan

Model card

From the Hugging Face model README

ntu-spml/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: 0.7428
Accuracy: 0.87

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: 3.992986714871485e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9807885777224674,0.996064720140604) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 509
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	57	2.2832	0.3
No log	2.0	114	2.2273	0.28
No log	3.0	171	2.0861	0.46
No log	4.0	228	1.8473	0.5
No log	5.0	285	1.5146	0.6
No log	6.0	342	1.2140	0.69
No log	7.0	399	0.9856	0.74
No log	8.0	456	0.8056	0.79
1.6591	9.0	513	0.7135	0.8
1.6591	10.0	570	0.7642	0.75
1.6591	11.0	627	0.6344	0.79
1.6591	12.0	684	0.5982	0.83
1.6591	13.0	741	0.5369	0.86
1.6591	14.0	798	0.7501	0.79
1.6591	15.0	855	0.7493	0.78
1.6591	16.0	912	0.6891	0.83
1.6591	17.0	969	0.7492	0.8
0.2402	18.0	1026	0.6663	0.88
0.2402	19.0	1083	0.5750	0.89
0.2402	20.0	1140	0.8215	0.81
0.2402	21.0	1197	0.7435	0.79
0.2402	22.0	1254	0.8305	0.86
0.2402	23.0	1311	0.7636	0.83
0.2402	24.0	1368	0.9786	0.77
0.2402	25.0	1425	0.7082	0.88
0.2402	26.0	1482	0.7698	0.85
0.0206	27.0	1539	0.7360	0.87
0.0206	28.0	1596	0.8575	0.84
0.0206	29.0	1653	0.7428	0.87

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1
Datasets 2.13.2.dev1
Tokenizers 0.13.3

Task: Audio Classification
Library: transformers
Type: hubert
License: apache-2.0
Created: Jul 23, 2023
Updated: Jul 23, 2023