---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/musicgen-small
tags:
- generated_from_trainer
model-index:
- name: salami_truncsplit_legit1_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_legit1_model

This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.5205
- Clap: 0.1081

## 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: 2e-05
- 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: constant
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Clap   |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 8.305         | 0.4813 | 25   | 3.7163          | 0.2508 |
| 6.9842        | 0.9627 | 50   | 4.6081          | 0.0551 |
| 6.9013        | 1.4428 | 75   | 5.6498          | 0.0582 |
| 6.0195        | 1.9242 | 100  | 5.7631          | 0.1450 |
| 6.447         | 2.4043 | 125  | 5.7947          | 0.1187 |
| 6.215         | 2.8857 | 150  | 5.8396          | 0.1164 |
| 6.4075        | 3.3658 | 175  | 5.8361          | 0.1174 |
| 5.797         | 3.8472 | 200  | 5.8150          | 0.1093 |
| 6.347         | 4.3273 | 225  | 5.7935          | 0.1029 |
| 5.3935        | 4.8087 | 250  | 5.7605          | 0.1040 |
| 6.0328        | 5.2888 | 275  | 5.7012          | 0.1006 |
| 6.1476        | 5.7702 | 300  | 5.6703          | 0.0880 |
| 5.9049        | 6.2503 | 325  | 5.8333          | 0.1260 |
| 5.8547        | 6.7316 | 350  | 5.9171          | 0.1415 |
| 5.5151        | 7.2118 | 375  | 6.0307          | 0.1488 |
| 6.0651        | 7.6931 | 400  | 6.0683          | 0.1520 |
| 6.0339        | 8.1733 | 425  | 6.1653          | 0.1496 |
| 5.5607        | 8.6546 | 450  | 6.3588          | 0.1344 |
| 6.0312        | 9.1348 | 475  | 6.4503          | 0.1358 |
| 5.9084        | 9.6161 | 500  | 6.5205          | 0.1081 |


### Framework versions

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