readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - superb
  model-index:
  - name: Hubert-base-superb
    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-base-superb
  
  This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the superb dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6712
  - Wer: 0.4781
  
  ## 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: 0.001
  - 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: 250
  - num_epochs: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.7884        | 0.8   | 500  | 0.8900          | 0.6940 |
  | 0.6603        | 1.6   | 1000 | 0.7378          | 0.6103 |
  | 0.5401        | 2.4   | 1500 | 0.7107          | 0.5762 |
  | 0.4604        | 3.2   | 2000 | 0.6563          | 0.5320 |
  | 0.3936        | 4.0   | 2500 | 0.6315          | 0.5244 |
  | 0.3186        | 4.8   | 3000 | 0.6525          | 0.5007 |
  | 0.2727        | 5.6   | 3500 | 0.6553          | 0.4855 |
  | 0.2296        | 6.4   | 4000 | 0.6712          | 0.4781 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  