ylacombe/musicgen-melody-lora-punk

Model

1

stars

7

commits

1

linked in READMEs

Apr 25, 2024

updated

generated_from_trainer
musicgen_melody
peft
safetensors
text-to-audio
ylacombe/tiny-punk

README

Visualize in Weights & Biases Visualize in Weights & Biases

musicgen-melody-lora-punk

This model is a fine-tuned version of facebook/musicgen-melody on the YLACOMBE/TINY-PUNK - DEFAULT dataset. It achieves the following results on the evaluation set:

  • Loss: 4.7297
  • Clap: 0.2559

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: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.41.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Contributors

ylacombe

7 commits

ylacombe/musicgen-melody-lora-punk

Model

1

stars

7

commits

1

linked in READMEs

Apr 25, 2024

updated

generated_from_trainer
musicgen_melody
peft
safetensors
text-to-audio
ylacombe/tiny-punk

README

Visualize in Weights & Biases Visualize in Weights & Biases

musicgen-melody-lora-punk

This model is a fine-tuned version of facebook/musicgen-melody on the YLACOMBE/TINY-PUNK - DEFAULT dataset. It achieves the following results on the evaluation set:

  • Loss: 4.7297
  • Clap: 0.2559

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: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.41.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Contributors

ylacombe

7 commits