readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: hubert-large-ls960-ft-timit
    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. -->
  
  # hubert-large-ls960-ft-timit
  
  This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1074
  - Wer: 0.1708
  
  ## 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: 32
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 6.2278        | 4.0   | 500  | 2.6282          | 0.9999 |
  | 0.9389        | 8.0   | 1000 | 0.1154          | 0.2096 |
  | 0.2005        | 12.0  | 1500 | 0.0951          | 0.1732 |
  | 0.1985        | 16.0  | 2000 | 0.0974          | 0.1759 |
  | 0.124         | 20.0  | 2500 | 0.0951          | 0.1728 |
  | 0.0797        | 24.0  | 3000 | 0.1064          | 0.1713 |
  | 0.1047        | 28.0  | 3500 | 0.1074          | 0.1708 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  