---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/musicgen-melody
tags:
- text-to-audio
- eurovision
- generated_from_trainer
model-index:
- name: musicgen-melody-eurovision
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# musicgen-melody-eurovision

This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the rpechuk/eurovision_audio_small dataset.

## 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: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3