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distilhubert-finetuned-gtzan – AI Model by duwuonline | AlphaNeural AI

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duwuonline/
distilhubert-finetuned-gtzan

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audio-classification

generated_from_trainer

endpoints_compatible

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distilhubert-finetuned-gtzan

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

eval_loss: 1.2696
eval_accuracy: 0.67
eval_runtime: 36.9977
eval_samples_per_second: 2.703
eval_steps_per_second: 0.351
epoch: 2.0
step: 226

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3