---
base_model: facebook/musicgen-small
library_name: peft
license: cc-by-nc-4.0
tags:
- text-to-audio
- tiny-electronic
- generated_from_trainer
model-index:
- name: musicgen-electronic
  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-electronic

This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on the TruongScotl/electronic_music_generating dataset.
For code (create data and training) you can check here: https://www.kaggle.com/code/truongscotl/fine-tuning-musicgen-with-lora

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.98,0.99) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results
- epoch                    =     9.9487
- total_flos               =  1509258GF
- train_loss               =      6.414
- train_runtime            = 3:20:31.12
- train_samples            =       1559
- train_samples_per_second =      1.296
- train_steps_per_second   =      0.081


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1