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

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

This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7369
- Clap: 0.2173

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 456
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Clap   |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 9.345         | 0.2407 | 25   | 3.6808          | 0.2178 |
| 8.5598        | 0.4813 | 50   | 3.6995          | 0.2060 |
| 8.3691        | 0.7220 | 75   | 3.7276          | 0.2188 |
| 8.1954        | 0.9627 | 100  | 3.7369          | 0.2073 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3