readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: torgo-sentences-unlimited
    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-unlimited
  
  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: 0.4841
  - Wer: 0.2696
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 19.2722       | 3.65  | 500  | 5.3840          | 0.9950 |
  | 3.5604        | 7.3   | 1000 | 3.0665          | 1.0    |
  | 2.9063        | 10.95 | 1500 | 2.2699          | 1.0020 |
  | 1.1228        | 14.6  | 2000 | 0.5434          | 0.3637 |
  | 0.4145        | 18.25 | 2500 | 0.5388          | 0.2934 |
  | 0.2217        | 21.9  | 3000 | 0.4926          | 0.2874 |
  | 0.1832        | 25.55 | 3500 | 0.4761          | 0.2785 |
  | 0.145         | 29.2  | 4000 | 0.4841          | 0.2696 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.13.2
  