| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - speech_commands |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: wav2vec |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: speech_commands |
| type: speech_commands |
| config: v0.01 |
| split: test |
| args: v0.01 |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8938656280428432 |
| - name: F1 |
| type: f1 |
| value: 0.8871854520046679 |
| --- |
| |
| <!-- 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. --> |
|
|
| # wav2vec |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the speech_commands dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4992 |
| - Accuracy: 0.8939 |
| - F1: 0.8872 |
| |
| ## 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: 80 |
| - eval_batch_size: 80 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.6895 | 1.0 | 639 | 0.7875 | 0.8773 | 0.7995 | |
| | 0.4171 | 2.0 | 1278 | 0.5445 | 0.8932 | 0.8675 | |
| | 0.2706 | 3.0 | 1917 | 0.4992 | 0.8939 | 0.8872 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.45.1 |
| - Pytorch 2.4.0 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.0 |
| |
