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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - marsyas/gtzan
model-index:
  - name: distilhubert-finetuned-gtzan
    results: []

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: 1.9915
  • eval_accuracy: 0.31
  • eval_runtime: 8.0771
  • eval_samples_per_second: 12.381
  • eval_steps_per_second: 0.867
  • epoch: 1.0
  • step: 57

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: 16
  • eval_batch_size: 16
  • 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 4.31.0.dev0
  • Pytorch 1.13.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3