readme: ---
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5
    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_stepmania_ft_wav2vec2-large-xlsr-53-v5
  
  This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v4](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v4) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0163
  - Wer: 0.6622
  
  ## 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: 4e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.8867        | 1.0   | 376  | 1.0382          | 0.6821 |
  | 0.8861        | 2.0   | 752  | 1.0260          | 0.6686 |
  | 0.8682        | 3.0   | 1128 | 1.0358          | 0.6604 |
  | 0.8662        | 4.0   | 1504 | 1.0234          | 0.6665 |
  | 0.8463        | 5.0   | 1880 | 1.0333          | 0.6666 |
  | 0.8573        | 6.0   | 2256 | 1.0163          | 0.6622 |
  | 0.8628        | 7.0   | 2632 | 1.0209          | 0.6551 |
  | 0.8493        | 8.0   | 3008 | 1.0525          | 0.6582 |
  | 0.8371        | 9.0   | 3384 | 1.0409          | 0.6515 |
  | 0.8229        | 10.0  | 3760 | 1.0597          | 0.6523 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  