readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - librispeech_asr
  model-index:
  - name: ''
    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. -->
  
  # 
  
  This model was trained from scratch on the librispeech_asr dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8529
  - Wer: 0.9977
  
  ## 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
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 20.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 3.5506        | 2.8   | 2500  | 4.4928          | 1.8772 |
  | 0.5145        | 5.61  | 5000  | 1.8942          | 1.1063 |
  | 0.2736        | 8.41  | 7500  | 1.6550          | 1.0372 |
  | 0.0807        | 11.21 | 10000 | 1.7601          | 1.0004 |
  | 0.0439        | 14.01 | 12500 | 1.8014          | 1.0022 |
  | 0.043         | 16.82 | 15000 | 1.8534          | 1.0097 |
  | 0.0434        | 19.62 | 17500 | 1.8529          | 0.9977 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0.dev0
  - Pytorch 1.10.2+cu113
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  