wav2vec2-base-finetuned-gtzan – AI Model by EbisuRyu | AlphaNeural AI

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EbisuRyu/
wav2vec2-base-finetuned-gtzan

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audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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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: 0.3612
Accuracy: 0.9179

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7792	1.0	125	1.7555	0.5125
1.694	2.0	250	1.4309	0.5275
1.2489	3.0	375	1.4102	0.4915
1.143	4.0	500	0.8560	0.7508
1.0382	5.0	625	0.7584	0.7768
0.4631	6.0	750	0.6003	0.7988
0.8061	7.0	875	0.4438	0.8709
0.6985	8.0	1000	0.4876	0.8679
0.4943	9.0	1125	0.5800	0.8268
0.4353	10.0	1250	0.3612	0.9179

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1