readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-base-checkpoint-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. -->
  
  # wav2vec2-base-checkpoint-13
  
  This model is a fine-tuned version of [jiobiala24/wav2vec2-base-checkpoint-12](https://huggingface.co/jiobiala24/wav2vec2-base-checkpoint-12) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1804
  - Wer: 0.3809
  
  ## 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.2688        | 1.92  | 1000  | 0.6518          | 0.3692 |
  | 0.1944        | 3.85  | 2000  | 0.7188          | 0.3808 |
  | 0.1503        | 5.77  | 3000  | 0.7552          | 0.3853 |
  | 0.1218        | 7.69  | 4000  | 0.8155          | 0.3834 |
  | 0.1024        | 9.62  | 5000  | 0.8867          | 0.3779 |
  | 0.0874        | 11.54 | 6000  | 0.8917          | 0.3866 |
  | 0.0775        | 13.46 | 7000  | 1.0320          | 0.4019 |
  | 0.0712        | 15.38 | 8000  | 1.0110          | 0.3922 |
  | 0.0656        | 17.31 | 9000  | 1.0494          | 0.3885 |
  | 0.0578        | 19.23 | 10000 | 1.1054          | 0.3883 |
  | 0.053         | 21.15 | 11000 | 1.1285          | 0.3938 |
  | 0.0496        | 23.08 | 12000 | 1.1358          | 0.3884 |
  | 0.0459        | 25.0  | 13000 | 1.2062          | 0.3904 |
  | 0.0445        | 26.92 | 14000 | 1.1811          | 0.3830 |
  | 0.0414        | 28.85 | 15000 | 1.1804          | 0.3809 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  