lewtun / distilhubert-finetuned-gtzan

huggingface.co
Total runs: 30
24-hour runs: 1
7-day runs: -1
30-day runs: -7
Model's Last Updated: November 07 2022
audio-classification

Introduction of distilhubert-finetuned-gtzan

Model Details of distilhubert-finetuned-gtzan

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:

  • Loss: 0.6694
  • Accuracy: 0.82
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
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 0.99 56 1.9426 0.5
No log 1.99 112 1.4157 0.63
No log 2.99 168 1.1351 0.69
No log 3.99 224 1.0285 0.72
No log 4.99 280 0.8538 0.79
No log 5.99 336 0.8015 0.74
No log 6.99 392 0.6694 0.82
No log 7.99 448 0.6779 0.79
1.0811 8.99 504 0.6414 0.81
1.0811 9.99 560 0.6443 0.82
Framework versions
  • Transformers 4.24.0
  • Pytorch 1.11.0
  • Datasets 2.6.1
  • Tokenizers 0.11.6

Runs of lewtun distilhubert-finetuned-gtzan on huggingface.co

30
Total runs
1
24-hour runs
0
3-day runs
-1
7-day runs
-7
30-day runs

More Information About distilhubert-finetuned-gtzan huggingface.co Model

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distilhubert-finetuned-gtzan install

distilhubert-finetuned-gtzan is an open source model from GitHub that offers a free installation service, and any user can find distilhubert-finetuned-gtzan on GitHub to install. At the same time, huggingface.co provides the effect of distilhubert-finetuned-gtzan install, users can directly use distilhubert-finetuned-gtzan installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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