| --- |
| license: apache-2.0 |
| tags: |
| - audio-classification |
| - generated_from_trainer |
| datasets: |
| - superb |
| metrics: |
| - accuracy |
| model-index: |
| - name: speechcommand-demo |
| 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. --> |
|
|
| # speechcommand-demo |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0873 |
| - Accuracy: 0.9809 |
|
|
| ## 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: 0 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 5.0 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6433 | 1.0 | 399 | 0.4979 | 0.9112 | |
| | 0.2406 | 2.0 | 798 | 0.1455 | 0.9750 | |
| | 0.1563 | 3.0 | 1197 | 0.1032 | 0.9785 | |
| | 0.1144 | 4.0 | 1597 | 0.0919 | 0.9806 | |
| | 0.1254 | 5.0 | 1995 | 0.0873 | 0.9809 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.30.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
