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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# musicgen-large

This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the YLACOMBE/TINY-PUNK - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5011
- Clap: -0.0131

## 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    |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 9.4039        | 0.8571 | 3    | 4.4428          | -0.0070 |
| 8.8992        | 2.0    | 7    | 4.4435          | 0.0117  |
| 8.5373        | 2.8571 | 10   | 4.4463          | -0.0288 |
| 8.0105        | 4.0    | 14   | 4.4552          | -0.0111 |
| 7.8068        | 4.8571 | 17   | 4.4682          | -0.0194 |
| 7.6881        | 6.0    | 21   | 4.4913          | 0.0071  |
| 7.6672        | 6.8571 | 24   | 4.5011          | -0.0222 |


### Framework versions

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