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salami_truncsplit_model_smol

This model is a fine-tuned version of facebook/musicgen-small on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset. It achieves the following results on the evaluation set:

  • Loss: 5.7054
  • Clap: 0.1373

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: constant
  • num_epochs: 4.0

Training results

Training Loss Epoch Step Validation Loss Clap
6.4484 1.96 25 5.7909 0.1398

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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