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: 4.6263
  - Wer: 0.8568
  
  ## 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: 3e-05
  - 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 5.9849        | 1.68  | 1500  | 5.9623          | 1.1028 |
  | 5.1696        | 3.36  | 3000  | 5.5504          | 1.6345 |
  | 4.1412        | 5.04  | 4500  | 5.3853          | 1.3565 |
  | 2.7226        | 6.73  | 6000  | 5.3072          | 0.9908 |
  | 3.2607        | 8.41  | 7500  | 5.4121          | 1.2854 |
  | 2.4017        | 10.09 | 9000  | 5.1094          | 1.0303 |
  | 1.7361        | 11.77 | 10500 | 4.8928          | 0.9506 |
  | 2.0638        | 13.45 | 12000 | 4.8352          | 0.9127 |
  | 1.2832        | 15.13 | 13500 | 4.7271          | 0.9103 |
  | 1.0439        | 16.82 | 15000 | 4.5980          | 0.8720 |
  | 0.4112        | 18.5  | 16500 | 4.6263          | 0.8568 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0.dev0
  - Pytorch 1.10.2+cu113
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  