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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
|