Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

wav2vec2-base-finetuned-gtzan-refinement – AI Model by JacobThadeus | AlphaNeural AI

You can deploy this model and start earning money today!

JacobThadeus/
wav2vec2-base-finetuned-gtzan-refinement

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:

eval_loss: 0.8518
eval_accuracy: 0.8733
eval_runtime: 75.6114
eval_samples_per_second: 3.968
eval_steps_per_second: 0.172
epoch: 16.2566
step: 1837

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: 2e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 25
mixed_precision_training: Native AMP

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2