readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-base-cv
    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-base-cv
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1562
  - Wer: 0.3804
  
  ## 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: 0.0001
  - train_batch_size: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.563         | 3.18  | 500  | 2.9826          | 1.0    |
  | 2.0012        | 6.37  | 1000 | 0.9528          | 0.5354 |
  | 0.4841        | 9.55  | 1500 | 0.8838          | 0.4325 |
  | 0.2748        | 12.74 | 2000 | 0.9437          | 0.4130 |
  | 0.1881        | 15.92 | 2500 | 0.9603          | 0.4005 |
  | 0.1426        | 19.11 | 3000 | 1.0605          | 0.3955 |
  | 0.1134        | 22.29 | 3500 | 1.0733          | 0.3897 |
  | 0.0963        | 25.48 | 4000 | 1.1387          | 0.3835 |
  | 0.0829        | 28.66 | 4500 | 1.1562          | 0.3804 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  