---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/musicgen-melody
tags:
- text-to-audio
- taufiqsyed/salami_cleaned_sampled
- generated_from_trainer
model-index:
- name: salami_truncsplit_model
  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. -->

# salami_truncsplit_model

This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1330
- Clap: 0.1080

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 456
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Clap   |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 6.4684        | 0.4813 | 25   | 6.0063          | 0.0988 |
| 6.4209        | 0.9627 | 50   | 6.0700          | 0.1396 |
| 6.7252        | 1.4428 | 75   | 6.0365          | 0.1031 |
| 6.1879        | 1.9242 | 100  | 5.8966          | 0.1233 |
| 6.3642        | 2.4043 | 125  | 6.8064          | 0.1065 |
| 6.2382        | 2.8857 | 150  | 6.1185          | 0.0766 |
| 6.3169        | 3.3658 | 175  | 6.1162          | 0.0969 |
| 5.7667        | 3.8472 | 200  | 6.1305          | 0.1143 |


### Framework versions

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