wav2vec2-base-finetuned-gtzan

kenzic/wav2vec2-base-finetuned-gtzan

wav2vec2-base-finetuned-gtzan is a machine learning model from kenzic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Aug 15, 2024
Updated: Aug 15, 2024
SHA: 237151d6

Base models

facebook/wav2vec2-base

Datasets

marsyas/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: 0.6713
Accuracy: 0.83

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: 10
eval_batch_size: 10
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9059	1.0	90	1.7870	0.48
1.4224	2.0	180	1.3290	0.67
1.2667	3.0	270	1.2726	0.57
0.791	4.0	360	1.0556	0.7
0.6727	5.0	450	0.7369	0.8
0.4685	6.0	540	0.6371	0.86
0.5113	7.0	630	0.8083	0.79
0.2758	8.0	720	0.5974	0.87
0.1834	9.0	810	0.5047	0.88
0.1746	10.0	900	0.6713	0.83

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: wav2vec2
License: apache-2.0
Created: Aug 15, 2024
Updated: Aug 15, 2024