| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: Audio-Classification |
| 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. --> |
|
|
| # Audio-Classification |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0157 |
| - Accuracy: 0.9966 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.334 | 1.0 | 83 | 0.2926 | 0.8881 | |
| | 0.1375 | 2.0 | 166 | 0.0696 | 0.9846 | |
| | 0.0575 | 3.0 | 249 | 0.0343 | 0.9917 | |
| | 0.0495 | 4.0 | 332 | 0.0499 | 0.9834 | |
| | 0.0227 | 5.0 | 415 | 0.0221 | 0.9947 | |
| | 0.0295 | 6.0 | 498 | 0.0222 | 0.9951 | |
| | 0.0252 | 7.0 | 581 | 0.0558 | 0.9872 | |
| | 0.0254 | 8.0 | 664 | 0.0244 | 0.9940 | |
| | 0.0174 | 9.0 | 747 | 0.0137 | 0.9974 | |
| | 0.0028 | 10.0 | 830 | 0.0157 | 0.9966 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.50.2 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
|
|
