whisper-base-finetuned-gtzan – AI Model by ChengzhiMu | AlphaNeural AI

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ChengzhiMu/
whisper-base-finetuned-gtzan

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audio-classification

generated_from_trainer

openai/whisper-base

endpoints_compatible

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whisper-base-finetuned-gtzan

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

Loss: 0.7776
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: 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: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2317	1.0	113	1.0484	0.66
0.7659	2.0	226	0.8380	0.72
0.4747	3.0	339	0.5964	0.8
0.4096	4.0	452	0.5658	0.84
0.1263	5.0	565	0.5136	0.88
0.1462	6.0	678	0.6282	0.87
0.0026	7.0	791	0.7784	0.86
0.0019	8.0	904	0.7433	0.86
0.0016	9.0	1017	0.7740	0.86
0.0015	10.0	1130	0.7776	0.86

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1