Configuration Parsing
Warning:
In adapter_config.json: "peft.task_type" must be a string
musicgen-electronic
This model is a fine-tuned version of facebook/musicgen-small on the TruongScotl/electronic_music_generating dataset. For code (create data and training) you can check here: https://www.kaggle.com/code/truongscotl/fine-tuning-musicgen-with-lora
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
- Downloads last month
- 8
Inference API (serverless) does not yet support peft models for this pipeline type.
Model tree for TruongScotl/musicgen-electronic
Base model
facebook/musicgen-small