---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: tiny-audio
  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

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2566

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 936
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.2888        | 0.0149 | 1000  | 0.2819          |
| 0.3565        | 0.0298 | 2000  | 0.2919          |
| 0.3189        | 0.0447 | 3000  | 0.2879          |
| 0.3274        | 0.0596 | 4000  | 0.2929          |
| 0.3231        | 0.0745 | 5000  | 0.2870          |
| 0.3270        | 0.0894 | 6000  | 0.2853          |
| 0.3486        | 0.1043 | 7000  | 0.2860          |
| 0.3066        | 0.1192 | 8000  | 0.2865          |
| 0.3487        | 0.1341 | 9000  | 0.2866          |
| 0.3307        | 0.1490 | 10000 | 0.2871          |
| 0.3419        | 0.1639 | 11000 | 0.2852          |
| 0.3601        | 0.1788 | 12000 | 0.2848          |
| 0.3156        | 0.1936 | 13000 | 0.2860          |
| 0.3098        | 0.2085 | 14000 | 0.2830          |
| 0.3133        | 0.2234 | 15000 | 0.2851          |
| 0.3269        | 0.2383 | 16000 | 0.2826          |
| 0.3257        | 0.2532 | 17000 | 0.2822          |
| 0.3281        | 0.2681 | 18000 | 0.2822          |
| 0.3941        | 0.2830 | 19000 | 0.2813          |
| 0.3875        | 0.2979 | 20000 | 0.2854          |
| 0.3214        | 0.3128 | 21000 | 0.2795          |
| 0.2914        | 0.3277 | 22000 | 0.2792          |
| 0.2951        | 0.3426 | 23000 | 0.2805          |
| 0.3343        | 0.3575 | 24000 | 0.2779          |
| 0.3252        | 0.3724 | 25000 | 0.2771          |
| 0.3027        | 0.3873 | 26000 | 0.2768          |
| 0.3287        | 0.4022 | 27000 | 0.2759          |
| 0.3208        | 0.4171 | 28000 | 0.2749          |
| 0.3402        | 0.4320 | 29000 | 0.2730          |
| 0.2928        | 0.4469 | 30000 | 0.2726          |
| 0.3085        | 0.4618 | 31000 | 0.2737          |
| 0.3073        | 0.4767 | 32000 | 0.2705          |
| 0.3471        | 0.4916 | 33000 | 0.2708          |
| 0.2945        | 0.5065 | 34000 | 0.2690          |
| 0.3294        | 0.5214 | 35000 | 0.2696          |
| 0.3095        | 0.5363 | 36000 | 0.2679          |
| 0.3152        | 0.5512 | 37000 | 0.2659          |
| 0.3035        | 0.5660 | 38000 | 0.2674          |
| 0.3342        | 0.5809 | 39000 | 0.2656          |
| 0.3242        | 0.5958 | 40000 | 0.2653          |
| 0.2789        | 0.6107 | 41000 | 0.2643          |
| 0.3082        | 0.6256 | 42000 | 0.2643          |
| 0.3174        | 0.6405 | 43000 | 0.2633          |
| 0.2730        | 0.6554 | 44000 | 0.2628          |
| 0.2934        | 0.6703 | 45000 | 0.2609          |
| 0.2944        | 0.6852 | 46000 | 0.2606          |
| 0.3111        | 0.7001 | 47000 | 0.2614          |
| 0.3431        | 0.7150 | 48000 | 0.2605          |
| 0.3226        | 0.7299 | 49000 | 0.2601          |
| 0.2735        | 0.7448 | 50000 | 0.2591          |
| 0.3208        | 0.7597 | 51000 | 0.2590          |
| 0.3208        | 0.7746 | 52000 | 0.2584          |
| 0.3021        | 0.7895 | 53000 | 0.2578          |
| 0.2730        | 0.8044 | 54000 | 0.2583          |
| 0.2938        | 0.8193 | 55000 | 0.2581          |
| 0.2894        | 0.8342 | 56000 | 0.2574          |
| 0.2781        | 0.8491 | 57000 | 0.2572          |
| 0.3003        | 0.8640 | 58000 | 0.2568          |
| 0.2719        | 0.8789 | 59000 | 0.2568          |
| 0.2878        | 0.8938 | 60000 | 0.2567          |
| 0.3058        | 0.9087 | 61000 | 0.2568          |
| 0.3036        | 0.9236 | 62000 | 0.2568          |
| 0.3050        | 0.9384 | 63000 | 0.2568          |
| 0.3244        | 0.9533 | 64000 | 0.2567          |
| 0.3187        | 0.9682 | 65000 | 0.2566          |
| 0.3016        | 0.9831 | 66000 | 0.2566          |
| 0.2697        | 0.9980 | 67000 | 0.2566          |


### Framework versions

- Transformers 5.0.0.dev0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1