readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: torgo-sentences
    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
  
  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: 0.4597
  - Wer: 0.2763
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 7.9559        | 3.68  | 500  | 7.9711          | 1.0    |
  | 3.7513        | 7.35  | 1000 | 2.9848          | 1.0    |
  | 2.3575        | 11.03 | 1500 | 0.7358          | 0.4943 |
  | 0.565         | 14.71 | 2000 | 0.4717          | 0.3160 |
  | 0.3093        | 18.38 | 2500 | 0.4621          | 0.3076 |
  | 0.2096        | 22.06 | 3000 | 0.4586          | 0.2857 |
  | 0.1716        | 25.74 | 3500 | 0.5179          | 0.2805 |
  | 0.2116        | 29.41 | 4000 | 0.4597          | 0.2763 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.13.2
  