| --- |
| 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 |
| |
