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-v6
    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-v6
  
  This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0063
  - Wer: 0.6580
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 8
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.8572        | 1.0   | 376  | 1.0508          | 0.6601 |
  | 0.8671        | 2.0   | 752  | 1.0755          | 0.6581 |
  | 0.8578        | 3.0   | 1128 | 1.0152          | 0.6787 |
  | 0.8552        | 4.0   | 1504 | 1.0537          | 0.6557 |
  | 0.8354        | 5.0   | 1880 | 1.0386          | 0.6606 |
  | 0.8543        | 6.0   | 2256 | 1.0063          | 0.6580 |
  | 0.8556        | 7.0   | 2632 | 1.0487          | 0.6499 |
  | 0.8356        | 8.0   | 3008 | 1.0407          | 0.6549 |
  | 0.8227        | 9.0   | 3384 | 1.0382          | 0.6506 |
  | 0.8148        | 10.0  | 3760 | 1.0440          | 0.6500 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  