readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: w2v2
    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. -->
  
  # w2v2
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8860
  - Wer: 0.2817
  
  ## 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: 1000
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 5.5664        | 3.07  | 500  | 3.0411          | 0.9997 |
  | 2.5607        | 6.13  | 1000 | 1.0770          | 0.3660 |
  | 0.9959        | 9.2   | 1500 | 0.8815          | 0.3017 |
  | 0.8129        | 12.27 | 2000 | 0.8676          | 0.2915 |
  | 0.7334        | 15.34 | 2500 | 0.8381          | 0.2931 |
  | 0.669         | 18.4  | 3000 | 0.8802          | 0.2864 |
  | 0.6312        | 21.47 | 3500 | 0.8679          | 0.2864 |
  | 0.6094        | 24.54 | 4000 | 0.8811          | 0.2802 |
  | 0.5987        | 27.61 | 4500 | 0.8860          | 0.2817 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  