---
license: cc-by-nc-4.0
library_name: peft
tags:
- text-to-audio
- sweet-dreambooths/combined-artists-v1
- generated_from_trainer
base_model: facebook/musicgen-melody-large
model-index:
- name: combined-artists-text-only-1-epochs
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sanchit-gandhi/black-eyed-peas/runs/aot7xf5c)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sanchit-gandhi/black-eyed-peas/runs/aot7xf5c)
# combined-artists-text-only-1-epochs

This model is a fine-tuned version of [facebook/musicgen-melody-large](https://huggingface.co/facebook/musicgen-melody-large) on the SWEET-DREAMBOOTHS/COMBINED-ARTISTS-V1 - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9133
- Text Cosine Sim: 0.2331
- Audio Cosine Sim: 0.4680

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 456
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Text Cosine Sim | Audio Cosine Sim |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------------:|
| 7.3112        | 1.0   | 99   | 3.9133          | 0.2471          | 0.4541           |


### Framework versions

- PEFT 0.10.0
- Transformers 4.41.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.19.2.dev0
- Tokenizers 0.19.1