readme: ---
  tags:
  - audio-classification
  - generated_from_trainer
  datasets:
  - superb
  metrics:
  - accuracy
  model-index:
  - name: trillsson3-ft-keyword-spotting-15
    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-15
  
  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: 0.3563
  - Accuracy: 0.9041
  
  ## 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: 32
  - eval_batch_size: 64
  - seed: 0
  - gradient_accumulation_steps: 2
  - 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: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.1824        | 1.0   | 798  | 0.6478          | 0.7489   |
  | 0.7448        | 2.0   | 1596 | 0.4274          | 0.8728   |
  | 0.7089        | 3.0   | 2394 | 0.3723          | 0.8950   |
  | 0.6781        | 4.0   | 3192 | 0.3563          | 0.9041   |
  | 0.6386        | 5.0   | 3990 | 0.3441          | 0.8986   |
  | 0.6342        | 6.0   | 4788 | 0.3380          | 0.8994   |
  | 0.6275        | 7.0   | 5586 | 0.3376          | 0.8982   |
  | 0.6349        | 8.0   | 6384 | 0.3333          | 0.9014   |
  | 0.6261        | 9.0   | 7182 | 0.3295          | 0.9025   |
  | 0.6188        | 10.0  | 7980 | 0.3322          | 0.9025   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  