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musicgen-electronic

This model is a fine-tuned version of facebook/musicgen-small on the TruongScotl/electronic_music_generating dataset.

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: 0.0001
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.98,0.99) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

  • epoch = 9.9487
  • total_flos = 1509258GF
  • train_loss = 6.414
  • train_runtime = 3:20:31.12
  • train_samples = 1559
  • train_samples_per_second = 1.296
  • train_steps_per_second = 0.081

Framework versions

  • PEFT 0.12.0
  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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