readme: ---
  tags:
  - audio-classification
  - generated_from_trainer
  datasets:
  - superb
  metrics:
  - accuracy
  model-index:
  - name: trillsson3-ft-keyword-spotting-13
    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. -->
  
  # trillsson3-ft-keyword-spotting-13
  
  This model is a fine-tuned version of [vumichien/nonsemantic-speech-trillsson3](https://huggingface.co/vumichien/nonsemantic-speech-trillsson3) on the superb dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3093
  - Accuracy: 0.9153
  
  ## 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: 0.0003
  - train_batch_size: 16
  - eval_batch_size: 32
  - seed: 0
  - 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: 20.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 1.7756        | 1.0   | 798   | 0.9283          | 0.6396   |
  | 0.8631        | 2.0   | 1596  | 0.4884          | 0.8573   |
  | 0.7551        | 3.0   | 2394  | 0.3967          | 0.8832   |
  | 0.6968        | 4.0   | 3192  | 0.3644          | 0.8989   |
  | 0.67          | 5.0   | 3990  | 0.3428          | 0.9057   |
  | 0.6854        | 6.0   | 4788  | 0.3408          | 0.9026   |
  | 0.6701        | 7.0   | 5586  | 0.3359          | 0.9013   |
  | 0.6734        | 8.0   | 6384  | 0.3285          | 0.9059   |
  | 0.6581        | 9.0   | 7182  | 0.3199          | 0.9095   |
  | 0.6557        | 10.0  | 7980  | 0.3301          | 0.8986   |
  | 0.6768        | 11.0  | 8778  | 0.3174          | 0.9047   |
  | 0.6459        | 12.0  | 9576  | 0.3192          | 0.9031   |
  | 0.6607        | 13.0  | 10374 | 0.3173          | 0.9066   |
  | 0.656         | 14.0  | 11172 | 0.3142          | 0.9094   |
  | 0.6302        | 15.0  | 11970 | 0.3093          | 0.9153   |
  | 0.636         | 16.0  | 12768 | 0.3184          | 0.9044   |
  | 0.6327        | 17.0  | 13566 | 0.3104          | 0.9117   |
  | 0.6428        | 18.0  | 14364 | 0.3158          | 0.9084   |
  | 0.6515        | 19.0  | 15162 | 0.3129          | 0.9097   |
  | 0.6441        | 20.0  | 15960 | 0.3115          | 0.9100   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  