wav2vec2-base-finetuned-ks
This model is a fine-tuned version of Abdalla312/wav2vec2-base-finetuned-ks on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
- Accuracy: 0.9999
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0069 | 1.0 | 511 | 0.0376 | 0.9914 |
| 0.0 | 2.0 | 1023 | 0.0003 | 0.9999 |
| 0.0 | 3.0 | 1533 | 0.0006 | 0.9999 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Evaluation results
- Accuracy on audiofoldervalidation set self-reported1.000