Instructions to use midi3008/musicgen-small-lora-punk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use midi3008/musicgen-small-lora-punk with PEFT:
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- Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
musicgen-small-lora-punk
This model is a fine-tuned version of facebook/musicgen-small on the YLACOMBE/TINY-PUNK - DEFAULT 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: 2
- eval_batch_size: 1
- seed: 456
- 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 0.11.1
- Transformers 4.44.2
- Pytorch 2.12.1+cu130
- Datasets 5.0.0
- Tokenizers 0.19.1
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Model tree for midi3008/musicgen-small-lora-punk
Base model
facebook/musicgen-small