readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: test1000v2
    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. -->
  
  # test1000v2
  
  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: 0.7873
  - Wer: 0.6162
  
  ## 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
  - gradient_accumulation_steps: 2
  - 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: 500
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 7.7913        | 3.22  | 100  | 3.3481          | 1.0    |
  | 3.3831        | 6.44  | 200  | 3.3229          | 1.0    |
  | 3.3778        | 9.67  | 300  | 3.3211          | 1.0    |
  | 3.3671        | 12.89 | 400  | 3.2973          | 1.0    |
  | 3.3528        | 16.13 | 500  | 3.1349          | 1.0    |
  | 1.8611        | 19.35 | 600  | 0.7873          | 0.6162 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.10.0+cu102
  - Datasets 1.4.1
  - Tokenizers 0.12.1
  