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salami-data-clean-model
This model is a fine-tuned version of facebook/musicgen-melody on the TAUFIQSYED/SALAMI_DATA_CLEANED - DEFAULT dataset. It achieves the following results on the evaluation set:
- Loss: 6.0759
- Clap: 0.1725
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: 1
- eval_batch_size: 1
- seed: 456
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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: 4.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Clap |
|---|---|---|---|---|
| 6.334 | 2.0874 | 25 | 6.1052 | 0.1877 |
Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for taufiqsyed/salami-data-clean-model
Base model
facebook/musicgen-melody