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atuaans/
music_genres_classification-finetuned-gtzan

Name: music_genres_classification-finetuned-gtzan
Availability: InStock

generated_from_trainer

marsyas/gtzan

dima806/music_genres_classification

finetune

model-index

endpoints_compatible

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music_genres_classification-finetuned-gtzan

This model is a fine-tuned version of dima806/music_genres_classification on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 0.6057
Accuracy: 0.86

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: 20
eval_batch_size: 20
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: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6174	1.0	45	0.6562	0.82
0.8024	2.0	90	0.5868	0.87
0.2218	3.0	135	0.6144	0.85
0.2787	4.0	180	1.0477	0.81
0.1557	5.0	225	0.6132	0.84
0.4533	6.0	270	0.5716	0.87
0.4026	7.0	315	0.6503	0.86
0.2361	8.0	360	0.6456	0.87
0.2284	9.0	405	0.7267	0.85
0.1117	10.0	450	0.6057	0.86

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

atuaans/music_genres_classification-finetuned-gtzan

music_genres_classification-finetuned-gtzan

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

atuaans/
music_genres_classification-finetuned-gtzan