DanhTran2Mind's Text2Audio
Collection
This collection includes text to audio and text to music • 3 items • Updated
GenCaps-finetune-Musicgen-small
This model is a fine-tuned version of facebook/musicgen-smalll on the CLAPV2/MUSICCAPS - DEFAULT dataset. It achieves the following results on the evaluation set:
- Loss: 2.2189
- Clap: 0.3387
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 456
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.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: 700.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.54.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Downloads last month
- -
Model tree for danhtran2mind/MusicGen-Small-MusicCaps-finetuning
Base model
facebook/musicgen-small