readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: timit-5percent-supervised
    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. -->
  
  # timit-5percent-supervised
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6615
  - Wer: 0.2788
  
  ## 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: 200
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch  | Step | Validation Loss | Wer    |
  |:-------------:|:------:|:----:|:---------------:|:------:|
  | 5.3773        | 33.33  | 500  | 2.9693          | 1.0    |
  | 1.4746        | 66.67  | 1000 | 0.5050          | 0.3359 |
  | 0.1067        | 100.0  | 1500 | 0.5981          | 0.3054 |
  | 0.0388        | 133.33 | 2000 | 0.6192          | 0.2712 |
  | 0.0244        | 166.67 | 2500 | 0.6392          | 0.2776 |
  | 0.018         | 200.0  | 3000 | 0.6615          | 0.2788 |
  
  
  ### Framework versions
  
  - Transformers 4.14.1
  - Pytorch 1.10.2
  - Datasets 1.18.2
  - Tokenizers 0.10.3
  