readme: ---
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-2
    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_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-2
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-1](https://huggingface.co/gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-1) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2691
  - Wer: 0.0910
  
  ## 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
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.2664        | 1.0   | 8969  | 0.3347          | 0.1645 |
  | 0.2032        | 2.0   | 17938 | 0.3170          | 0.1662 |
  | 0.1888        | 3.0   | 26907 | 0.3188          | 0.1317 |
  | 0.1774        | 4.0   | 35876 | 0.2885          | 0.1195 |
  | 0.0696        | 5.0   | 44845 | 0.2703          | 0.1105 |
  | 0.254         | 6.0   | 53814 | 0.2817          | 0.0972 |
  | 0.0464        | 7.0   | 62783 | 0.2691          | 0.0910 |
  | 0.0426        | 8.0   | 71752 | 0.3033          | 0.0875 |
  | 0.035         | 9.0   | 80721 | 0.3150          | 0.0841 |
  | 0.0274        | 10.0  | 89690 | 0.3073          | 0.0816 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  