Instructions to use DevPanda004/musicgen-melody-indian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DevPanda004/musicgen-melody-indian with PEFT:
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- Notebooks
- Google Colab
- Kaggle
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musicgen-melody-indian
This model is a fine-tuned version of facebook/musicgen-melody on the DevPanda004/indian-music-and-metadata-3 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.48.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for DevPanda004/musicgen-melody-indian
Base model
facebook/musicgen-melody