readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: torgo-sentences-TestedSpeakerM01
    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. -->
  
  # torgo-sentences-TestedSpeakerM01
  
  This model is a fine-tuned version of [yongjian/wav2vec2-large-a](https://huggingface.co/yongjian/wav2vec2-large-a) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4934
  - Wer: 0.7531
  
  ## 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: 4
  - 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: 1000
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 16.1147       | 3.36  | 500  | 0.7890          | 0.9519 |
  | 0.6317        | 6.71  | 1000 | 0.5087          | 0.8789 |
  | 0.5158        | 10.07 | 1500 | 0.5307          | 0.9519 |
  | 0.4783        | 13.42 | 2000 | 0.4320          | 0.9208 |
  | 0.5256        | 16.78 | 2500 | 0.3832          | 0.8292 |
  | 0.2892        | 20.13 | 3000 | 0.4282          | 0.7531 |
  | 0.2733        | 23.49 | 3500 | 0.4369          | 0.7391 |
  | 0.2289        | 26.85 | 4000 | 0.4782          | 0.7469 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.13.2
  