punk-music-test / README.md
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metadata
base_model: facebook/musicgen-large
library_name: peft
license: cc-by-nc-4.0
tags:
  - text-to-audio
  - ylacombe/tiny-punk
  - generated_from_trainer
model-index:
  - name: punk-music-test
    results: []

punk-music-test

This model is a fine-tuned version of facebook/musicgen-large on the YLACOMBE/TINY-PUNK - DEFAULT dataset. It achieves the following results on the evaluation set:

  • Loss: 4.6589
  • Clap: 0.0487

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: 4
  • eval_batch_size: 1
  • seed: 123
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Clap
8.875 0.8571 3 4.4074 0.0678
8.7074 2.0 7 4.4241 0.0586
8.6372 2.8571 10 4.4617 0.0704
8.5145 4.0 14 4.5377 0.0566
8.4215 4.8571 17 4.5900 0.0567
8.4121 6.0 21 4.6385 0.0320
8.377 6.8571 24 4.6589 0.0539

Framework versions

  • PEFT 0.11.1
  • Transformers 4.42.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.20.0
  • Tokenizers 0.19.1