readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2_test
    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_test
  
  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: 91.1661
  - Wer: 0.5714
  
  ## 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: 8
  - 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: 100
  - num_epochs: 1000
  
  ### Training results
  
  | Training Loss | Epoch  | Step | Validation Loss | Wer    |
  |:-------------:|:------:|:----:|:---------------:|:------:|
  | 11.9459       | 100.0  | 100  | 46.9901         | 1.0    |
  | 3.2175        | 200.0  | 200  | 73.0950         | 1.0    |
  | 1.8117        | 300.0  | 300  | 78.4884         | 0.6735 |
  | 1.3694        | 400.0  | 400  | 84.0168         | 0.6327 |
  | 1.1392        | 500.0  | 500  | 85.2083         | 0.5918 |
  | 0.979         | 600.0  | 600  | 88.9109         | 0.5918 |
  | 0.8917        | 700.0  | 700  | 89.0310         | 0.5918 |
  | 0.8265        | 800.0  | 800  | 90.0659         | 0.6122 |
  | 0.769         | 900.0  | 900  | 91.8476         | 0.5714 |
  | 0.7389        | 1000.0 | 1000 | 91.1661         | 0.5714 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.2
  - Datasets 1.18.3
  - Tokenizers 0.11.6
  