| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - danavery/urbansound8K |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: wav2vec2-finetuned-urbansound8k |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: URBAN-SOUND8K |
| type: danavery/urbansound8K |
| args: audio-classification |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9650829994275901 |
| - name: F1 |
| type: f1 |
| value: 0.965058831730144 |
| --- |
| |
| <!-- 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. --> |
|
|
| # wav2vec2-finetuned-urbansound8k |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the URBAN-SOUND8K dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2672 |
| - Accuracy: 0.9651 |
| - F1: 0.9651 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - 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: 8 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
| | 0.6296 | 1.0 | 1747 | 0.9168 | 0.7098 | 0.6543 | |
| | 0.3658 | 2.0 | 3494 | 0.4589 | 0.8798 | 0.8788 | |
| | 0.108 | 3.0 | 5241 | 0.4362 | 0.9107 | 0.9102 | |
| | 0.3019 | 4.0 | 6988 | 0.4455 | 0.9216 | 0.9215 | |
| | 0.0019 | 5.0 | 8735 | 0.3645 | 0.9433 | 0.9433 | |
| | 0.0014 | 6.0 | 10482 | 0.3780 | 0.9416 | 0.9417 | |
| | 0.1803 | 7.0 | 12229 | 0.3196 | 0.9519 | 0.9519 | |
| | 0.0004 | 8.0 | 13976 | 0.2672 | 0.9651 | 0.9651 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.52.4 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
| |
