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-v4
    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-v4
  
  This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v3](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v3) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0298
  - Wer: 0.6642
  
  ## 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: 16
  - total_train_batch_size: 128
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.9218        | 1.0   | 188  | 1.0718          | 0.6958 |
  | 0.9194        | 2.0   | 376  | 1.0354          | 0.6937 |
  | 0.9077        | 3.0   | 564  | 1.0365          | 0.6730 |
  | 0.8956        | 4.0   | 752  | 1.0497          | 0.6727 |
  | 0.877         | 5.0   | 940  | 1.0299          | 0.6694 |
  | 0.8736        | 6.0   | 1128 | 1.0298          | 0.6642 |
  | 0.8769        | 7.0   | 1316 | 1.0348          | 0.6584 |
  | 0.8571        | 8.0   | 1504 | 1.0689          | 0.6602 |
  | 0.8573        | 9.0   | 1692 | 1.0559          | 0.6549 |
  | 0.8458        | 10.0  | 1880 | 1.0706          | 0.6588 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  