readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-xlsr-53_toy_train_data_masked_audio_10ms
    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. -->
  
  # wav2vec2-large-xlsr-53_toy_train_data_masked_audio_10ms
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5945
  - Wer: 0.4929
  
  ## 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: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.4049        | 1.05  | 250  | 3.3497          | 1.0    |
  | 3.0851        | 2.1   | 500  | 3.4440          | 1.0    |
  | 2.3512        | 3.15  | 750  | 1.5938          | 0.9317 |
  | 1.1762        | 4.2   | 1000 | 0.8481          | 0.7333 |
  | 0.903         | 5.25  | 1250 | 0.7180          | 0.6484 |
  | 0.6754        | 6.3   | 1500 | 0.6603          | 0.6044 |
  | 0.5961        | 7.35  | 1750 | 0.6410          | 0.5778 |
  | 0.5325        | 8.4   | 2000 | 0.6245          | 0.5545 |
  | 0.4685        | 9.45  | 2250 | 0.5925          | 0.5359 |
  | 0.4526        | 10.5  | 2500 | 0.5991          | 0.5345 |
  | 0.3975        | 11.55 | 2750 | 0.5916          | 0.5228 |
  | 0.3672        | 12.6  | 3000 | 0.5882          | 0.5037 |
  | 0.3774        | 13.65 | 3250 | 0.5693          | 0.5028 |
  | 0.3489        | 14.7  | 3500 | 0.5645          | 0.5018 |
  | 0.3593        | 15.75 | 3750 | 0.5977          | 0.5043 |
  | 0.3167        | 16.81 | 4000 | 0.6049          | 0.5018 |
  | 0.3225        | 17.86 | 4250 | 0.6172          | 0.4921 |
  | 0.2807        | 18.91 | 4500 | 0.5937          | 0.4923 |
  | 0.2889        | 19.96 | 4750 | 0.5945          | 0.4929 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  