readme: ---
  license: cc-by-nc-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: test_bug3
    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. -->
  
  # test_bug3
  
  This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9438
  - Wer: 0.4538
  
  ## 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: 0.0003
  - train_batch_size: 4
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - 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: 500
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.0443        | 0.15  | 10   | 1.0029          | 0.4537 |
  | 1.1815        | 0.3   | 20   | 0.9818          | 0.4538 |
  | 1.0803        | 0.45  | 30   | 0.9835          | 0.4473 |
  | 1.1333        | 0.6   | 40   | 0.9826          | 0.4517 |
  | 1.1544        | 0.75  | 50   | 0.9580          | 0.4504 |
  | 0.9911        | 0.91  | 60   | 1.0062          | 0.4416 |
  | 1.2515        | 1.06  | 70   | 0.9912          | 0.4328 |
  | 1.0998        | 1.21  | 80   | 0.9526          | 0.4500 |
  | 1.0671        | 1.36  | 90   | 0.9825          | 0.4298 |
  | 1.1107        | 1.51  | 100  | 0.9602          | 0.4473 |
  | 0.9271        | 1.66  | 110  | 0.9749          | 0.4331 |
  | 1.0792        | 1.82  | 120  | 0.9684          | 0.4273 |
  | 1.1438        | 1.97  | 130  | 0.9438          | 0.4538 |
  
  
  ### Framework versions
  
  - Transformers 4.16.0
  - Pytorch 1.13.1+cu116
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  