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musicgen-melody-ravi
This model is a fine-tuned version of facebook/musicgen-melody on the MCLEMCREW/MCLEMCREW_MUSIC_RAVI_V2 - DEFAULT dataset. It achieves the following results on the evaluation set:
- Loss: 5.9626
- Clap: 0.0693
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
| Training Loss | Epoch | Step | Validation Loss | Clap |
|---|---|---|---|---|
| 6.8838 | 3.0534 | 50 | 5.9572 | 0.0696 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for mclemcrew/musicgen-melody-ravi
Base model
facebook/musicgen-melody