readme: ---
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v1
    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. -->
  
  # ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v1
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram](https://huggingface.co/gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4123
  - Wer: 0.1668
  
  ## 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: 3e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.2696        | 1.0   | 552  | 0.4421          | 0.2013 |
  | 0.2498        | 2.0   | 1104 | 0.4389          | 0.1887 |
  | 0.2387        | 3.0   | 1656 | 0.4154          | 0.1788 |
  | 0.1902        | 4.0   | 2208 | 0.4143          | 0.1753 |
  | 0.1896        | 5.0   | 2760 | 0.4123          | 0.1668 |
  | 0.1658        | 6.0   | 3312 | 0.4366          | 0.1651 |
  | 0.1312        | 7.0   | 3864 | 0.4309          | 0.1594 |
  | 0.1186        | 8.0   | 4416 | 0.4432          | 0.1561 |
  | 0.1476        | 9.0   | 4968 | 0.4400          | 0.1569 |
  | 0.1027        | 10.0  | 5520 | 0.4389          | 0.1554 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  