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metadata
license: apache-2.0
base_model: pedromatias97/genre-recognizer-finetuned-gtzan_dset
tags:
  - generated_from_trainer
datasets:
  - marsyas/gtzan
model-index:
  - name: genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan
    results: []

genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan

This model is a fine-tuned version of pedromatias97/genre-recognizer-finetuned-gtzan_dset on the GTZAN dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2709
  • eval_accuracy: 0.88
  • eval_runtime: 67.912
  • eval_samples_per_second: 1.472
  • eval_steps_per_second: 0.191
  • 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: 3e-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: 15
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1