readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-common-voice-fa-demo-colab
    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-common-voice-fa-demo-colab
  
  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: 3.0558
  - Wer: 1.0
  
  ## 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: 16
  - 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: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 5.1626        | 0.3   | 100  | 4.0692          | 1.0 |
  | 5.1776        | 0.6   | 200  | 3.6640          | 1.0 |
  | 3.6628        | 0.9   | 300  | 3.3832          | 1.0 |
  | 3.2022        | 1.2   | 400  | 3.3492          | 1.0 |
  | 3.1714        | 1.5   | 500  | 3.3215          | 1.0 |
  | 3.0689        | 1.8   | 600  | 3.0806          | 1.0 |
  | 3.1478        | 2.1   | 700  | 3.0624          | 1.0 |
  | 3.1818        | 2.4   | 800  | 3.0777          | 1.0 |
  | 3.159         | 2.7   | 900  | 3.0558          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  