---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: tiny-audio-next-thurs
  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. -->

# tiny-audio-next-thurs

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3428

## 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: 0.001
- train_batch_size: 100
- eval_batch_size: 100
- seed: 43
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_min_lr
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.2913        | 0.0450 | 2000  | 0.4665          |
| 0.2560        | 0.0900 | 4000  | 0.4262          |
| 0.2500        | 0.1350 | 6000  | 0.4156          |
| 0.2387        | 0.1800 | 8000  | 0.4142          |
| 0.2258        | 0.2250 | 10000 | 0.3964          |
| 0.2220        | 0.2700 | 12000 | 0.3896          |
| 0.2183        | 0.3150 | 14000 | 0.3913          |
| 0.2112        | 0.3600 | 16000 | 0.3841          |
| 0.2086        | 0.4050 | 18000 | 0.3763          |
| 0.2042        | 0.4501 | 20000 | 0.3732          |
| 0.1944        | 0.4951 | 22000 | 0.3659          |
| 0.1893        | 0.5401 | 24000 | 0.3631          |
| 0.1942        | 0.5851 | 26000 | 0.3589          |
| 0.1861        | 0.6301 | 28000 | 0.3567          |
| 0.1894        | 0.6751 | 30000 | 0.3515          |
| 0.1807        | 0.7201 | 32000 | 0.3497          |
| 0.1794        | 0.7651 | 34000 | 0.3456          |
| 0.1745        | 0.8101 | 36000 | 0.3453          |
| 0.1704        | 0.8551 | 38000 | 0.3459          |
| 0.1754        | 0.9001 | 40000 | 0.3446          |
| 0.1735        | 0.9451 | 42000 | 0.3440          |
| 0.1737        | 0.9901 | 44000 | 0.3415          |
| 0.1755        | 1.0    | 44439 | 0.3428          |


### Framework versions

- Transformers 5.7.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2