---
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: []
---

<!-- 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. -->

# punk-music-test

This model is a fine-tuned version of [facebook/musicgen-large](https://huggingface.co/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