wav2vec2-base-finetuned-gtzan

BinhMinhs10/wav2vec2-base-finetuned-gtzan

wav2vec2-base-finetuned-gtzan is a audio classification model from BinhMinhs10. 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: wav2vec2
Access: Public
Created: May 6, 2024
Updated: May 6, 2024
SHA: 7cb02cf5

Datasets

gtzan

Model card

From the Hugging Face model README

wav2vec2-base-finetuned-gtzan

This model is a fine-tuned version of facebook/wav2vec2-base on the gtzan dataset. It achieves the following results on the evaluation set:

Loss: 0.8616
Accuracy: 0.8

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: 3e-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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7818	1.0	113	1.8140	0.47
1.4919	2.0	226	1.4524	0.59
1.3185	3.0	339	1.2474	0.71
1.0456	4.0	452	1.0407	0.74
0.9574	5.0	565	1.0102	0.75
0.8578	6.0	678	0.8616	0.8

Framework versions

Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.13.3

Task: Audio Classification
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 6, 2024
Updated: May 6, 2024