readme: ---
  tags:
  - audio-classification
  - generated_from_trainer
  datasets:
  - superb
  metrics:
  - accuracy
  model-index:
  - name: trillsson3-ft-keyword-spotting-14
    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-14
  
  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: 0.3015
  - Accuracy: 0.9150
  
  ## 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: 64
  - seed: 0
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 32
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 1.2824        | 1.0   | 1597  | 0.7818          | 0.6892   |
  | 0.8003        | 2.0   | 3194  | 0.4443          | 0.8735   |
  | 0.7232        | 3.0   | 4791  | 0.3728          | 0.8833   |
  | 0.73          | 4.0   | 6388  | 0.3465          | 0.8973   |
  | 0.7015        | 5.0   | 7985  | 0.3211          | 0.9109   |
  | 0.6981        | 6.0   | 9582  | 0.3200          | 0.9081   |
  | 0.6807        | 7.0   | 11179 | 0.3209          | 0.9059   |
  | 0.6873        | 8.0   | 12776 | 0.3206          | 0.9022   |
  | 0.6416        | 9.0   | 14373 | 0.3124          | 0.9057   |
  | 0.6698        | 10.0  | 15970 | 0.3288          | 0.8950   |
  | 0.716         | 11.0  | 17567 | 0.3147          | 0.8998   |
  | 0.6514        | 12.0  | 19164 | 0.3034          | 0.9112   |
  | 0.6513        | 13.0  | 20761 | 0.3091          | 0.9092   |
  | 0.652         | 14.0  | 22358 | 0.3056          | 0.9100   |
  | 0.7105        | 15.0  | 23955 | 0.3015          | 0.9150   |
  | 0.6337        | 16.0  | 25552 | 0.3070          | 0.9091   |
  | 0.63          | 17.0  | 27149 | 0.3018          | 0.9135   |
  | 0.6672        | 18.0  | 28746 | 0.3084          | 0.9088   |
  | 0.6479        | 19.0  | 30343 | 0.3060          | 0.9101   |
  | 0.6658        | 20.0  | 31940 | 0.3072          | 0.9089   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  