readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: run1
    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. -->
  
  # run1
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6666
  - Wer: 0.6375
  - Cer: 0.3170
  
  ## 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
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 2000
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
  | 1.0564        | 2.36  | 2000  | 2.3456          | 0.9628 | 0.5549 |
  | 0.5071        | 4.73  | 4000  | 2.0652          | 0.9071 | 0.5115 |
  | 0.3952        | 7.09  | 6000  | 2.3649          | 0.9108 | 0.4628 |
  | 0.3367        | 9.46  | 8000  | 1.7615          | 0.8253 | 0.4348 |
  | 0.2765        | 11.82 | 10000 | 1.6151          | 0.7937 | 0.4087 |
  | 0.2493        | 14.18 | 12000 | 1.4976          | 0.7881 | 0.3905 |
  | 0.2318        | 16.55 | 14000 | 1.6731          | 0.8160 | 0.3925 |
  | 0.2074        | 18.91 | 16000 | 1.5822          | 0.7658 | 0.3913 |
  | 0.1825        | 21.28 | 18000 | 1.5442          | 0.7361 | 0.3704 |
  | 0.1824        | 23.64 | 20000 | 1.5988          | 0.7621 | 0.3711 |
  | 0.1699        | 26.0  | 22000 | 1.4261          | 0.7119 | 0.3490 |
  | 0.158         | 28.37 | 24000 | 1.7482          | 0.7658 | 0.3648 |
  | 0.1385        | 30.73 | 26000 | 1.4103          | 0.6784 | 0.3348 |
  | 0.1199        | 33.1  | 28000 | 1.5214          | 0.6636 | 0.3273 |
  | 0.116         | 35.46 | 30000 | 1.4288          | 0.7212 | 0.3486 |
  | 0.1071        | 37.83 | 32000 | 1.5344          | 0.7138 | 0.3411 |
  | 0.1007        | 40.19 | 34000 | 1.4501          | 0.6691 | 0.3237 |
  | 0.0943        | 42.55 | 36000 | 1.5367          | 0.6859 | 0.3265 |
  | 0.0844        | 44.92 | 38000 | 1.5321          | 0.6599 | 0.3273 |
  | 0.0762        | 47.28 | 40000 | 1.6721          | 0.6264 | 0.3142 |
  | 0.0778        | 49.65 | 42000 | 1.6666          | 0.6375 | 0.3170 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.0.0
  - Tokenizers 0.12.1
  