readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec_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. -->
  
  # wav2vec_cv
  
  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.1760
  - 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: 0.003
  - train_batch_size: 6
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 12
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 20
  - num_epochs: 60
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 7.1467        | 4.29  | 30   | 4.2173          | 1.0 |
  | 6.8918        | 8.57  | 60   | 4.2004          | 1.0 |
  | 5.4913        | 12.86 | 90   | 4.2007          | 1.0 |
  | 5.3906        | 17.14 | 120  | 4.1765          | 1.0 |
  | 4.9212        | 21.43 | 150  | 4.1714          | 1.0 |
  | 4.3916        | 25.71 | 180  | 4.1811          | 1.0 |
  | 5.2255        | 30.0  | 210  | 4.1633          | 1.0 |
  | 4.501         | 34.29 | 240  | 4.2050          | 1.0 |
  | 4.4328        | 38.57 | 270  | 4.1572          | 1.0 |
  | 4.2136        | 42.86 | 300  | 4.1698          | 1.0 |
  | 4.3353        | 47.14 | 330  | 4.1721          | 1.0 |
  | 4.1805        | 51.43 | 360  | 4.1804          | 1.0 |
  | 4.1695        | 55.71 | 390  | 4.1801          | 1.0 |
  | 4.2978        | 60.0  | 420  | 4.1760          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  