readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: pseudolabeling-step2-F04
    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. -->
  
  # pseudolabeling-step2-F04
  
  This model is a fine-tuned version of [yip-i/wav2vec2-pretrain-demo](https://huggingface.co/yip-i/wav2vec2-pretrain-demo) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.2502
  - Wer: 1.0
  
  ## 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: 16
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 74.4163       | 3.36  | 500  | 3.6878          | 1.0    |
  | 3.3612        | 6.71  | 1000 | 3.5619          | 1.0    |
  | 3.3127        | 10.07 | 1500 | 3.5773          | 1.0    |
  | 3.2104        | 13.42 | 2000 | 3.5299          | 1.0    |
  | 3.2067        | 16.78 | 2500 | 3.5704          | 0.9922 |
  | 3.1511        | 20.13 | 3000 | 4.3842          | 1.0    |
  | 3.0825        | 23.49 | 3500 | 4.2644          | 1.0    |
  | 3.0959        | 26.85 | 4000 | 5.2502          | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.13.2
  