distilhubert-finetuned-gtzan

kfahn/distilhubert-finetuned-gtzan

distilhubert-finetuned-gtzan is a audio classification model from kfahn. 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 2, 2023
Updated: Jul 4, 2023
SHA: 00cceda7

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: 0.5486
Accuracy: 0.85

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9391	1.0	113	1.7463	0.42
1.3438	2.0	226	1.1953	0.64
1.04	3.0	339	0.9436	0.72
0.8608	4.0	452	0.8464	0.74
0.5644	5.0	565	0.6846	0.8
0.4311	6.0	678	0.7118	0.77
0.509	7.0	791	0.5660	0.83
0.2548	8.0	904	0.5486	0.85

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Audio Classification
Library: transformers
Type: hubert
License: apache-2.0
Created: Jul 2, 2023
Updated: Jul 4, 2023