wav2vec2-base-finetuned-gtzan-2 – AI Model by ld76 | AlphaNeural AI

You can deploy this model and start earning money today!

ld76/
wav2vec2-base-finetuned-gtzan-2

like

0

audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

Views

No views yet

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: 0.7770
Accuracy: 0.88

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 11

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0152	1.0	112	1.9017	0.52
1.6232	2.0	225	1.5400	0.53
1.2989	3.0	337	1.1494	0.65
1.2035	4.0	450	1.1189	0.69
0.6804	5.0	562	0.8873	0.69
0.7305	6.0	675	0.7527	0.81
0.4738	7.0	787	0.6880	0.78
0.2824	8.0	900	0.7893	0.73
0.3863	9.0	1012	0.5786	0.85
0.4061	10.0	1125	0.7070	0.81
0.1302	11.0	1237	0.5829	0.88

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3