readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-base-checkpoint-12
    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-12
  
  This model is a fine-tuned version of [jiobiala24/wav2vec2-base-checkpoint-11.1](https://huggingface.co/jiobiala24/wav2vec2-base-checkpoint-11.1) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0795
  - Wer: 0.3452
  
  ## 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.2793        | 1.64  | 1000  | 0.5692          | 0.3518 |
  | 0.2206        | 3.28  | 2000  | 0.6127          | 0.3460 |
  | 0.1733        | 4.93  | 3000  | 0.6622          | 0.3580 |
  | 0.1391        | 6.57  | 4000  | 0.6768          | 0.3519 |
  | 0.1193        | 8.21  | 5000  | 0.7559          | 0.3540 |
  | 0.1053        | 9.85  | 6000  | 0.7873          | 0.3562 |
  | 0.093         | 11.49 | 7000  | 0.8170          | 0.3612 |
  | 0.0833        | 13.14 | 8000  | 0.8682          | 0.3579 |
  | 0.0753        | 14.78 | 9000  | 0.8317          | 0.3573 |
  | 0.0698        | 16.42 | 10000 | 0.9213          | 0.3525 |
  | 0.0623        | 18.06 | 11000 | 0.9746          | 0.3531 |
  | 0.0594        | 19.7  | 12000 | 1.0027          | 0.3502 |
  | 0.0538        | 21.35 | 13000 | 1.0045          | 0.3545 |
  | 0.0504        | 22.99 | 14000 | 0.9821          | 0.3523 |
  | 0.0461        | 24.63 | 15000 | 1.0818          | 0.3462 |
  | 0.0439        | 26.27 | 16000 | 1.0995          | 0.3495 |
  | 0.0421        | 27.91 | 17000 | 1.0533          | 0.3430 |
  | 0.0415        | 29.56 | 18000 | 1.0795          | 0.3452 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  