readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: wav2vec2-adult-child-cls
    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. -->
  
  # wav2vec2-adult-child-cls
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1713
  - Accuracy: 0.9460
  - F1: 0.9509
  
  ## 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: 42
  - 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
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.323         | 1.0   | 96   | 0.2699          | 0.9026   | 0.9085 |
  | 0.2003        | 2.0   | 192  | 0.2005          | 0.9234   | 0.9300 |
  | 0.1808        | 3.0   | 288  | 0.1780          | 0.9377   | 0.9438 |
  | 0.1537        | 4.0   | 384  | 0.1673          | 0.9441   | 0.9488 |
  | 0.1135        | 5.0   | 480  | 0.1713          | 0.9460   | 0.9509 |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  