| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: urban_sounds_classification_Model |
| 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. --> |
|
|
| # urban_sounds_classification_Model |
| |
| 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: 0.7128 |
| - Accuracy: 0.8019 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.4464 | 1.0 | 55 | 1.4501 | 0.5965 | |
| | 1.1235 | 2.0 | 110 | 1.2883 | 0.6285 | |
| | 1.0447 | 3.0 | 165 | 1.1324 | 0.6691 | |
| | 0.768 | 4.0 | 220 | 1.0824 | 0.6651 | |
| | 0.7529 | 5.0 | 275 | 0.9645 | 0.7172 | |
| | 0.6759 | 6.0 | 330 | 0.9236 | 0.7355 | |
| | 0.5837 | 7.0 | 385 | 0.7909 | 0.7653 | |
| | 0.5465 | 8.0 | 440 | 0.7330 | 0.7922 | |
| | 0.5112 | 9.0 | 495 | 0.7152 | 0.7997 | |
| | 0.4747 | 10.0 | 550 | 0.7128 | 0.8019 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.53.0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.2 |
| |
