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-v7
    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-v7
  
  This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0424
  - Wer: 0.6512
  
  ## 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-06
  - 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: 30.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Wer    |
  |:-------------:|:-----:|:------:|:---------------:|:------:|
  | 0.9303        | 1.0   | 12031  | 1.1160          | 0.6712 |
  | 0.8181        | 2.0   | 24062  | 1.0601          | 0.6608 |
  | 0.7861        | 3.0   | 36093  | 1.0478          | 0.6520 |
  | 0.767         | 4.0   | 48124  | 1.0617          | 0.6526 |
  | 0.797         | 5.0   | 60155  | 1.0424          | 0.6512 |
  | 0.834         | 6.0   | 72186  | 1.0519          | 0.6542 |
  | 0.7915        | 7.0   | 84217  | 1.0508          | 0.6494 |
  | 0.8106        | 8.0   | 96248  | 1.0753          | 0.6449 |
  | 0.7512        | 9.0   | 108279 | 1.1223          | 0.6592 |
  | 0.777         | 10.0  | 120310 | 1.1201          | 0.6535 |
  | 0.7631        | 11.0  | 132341 | 1.0780          | 0.6512 |
  | 0.7465        | 12.0  | 144372 | 1.0822          | 0.6499 |
  | 0.826         | 13.0  | 156403 | 1.0706          | 0.6445 |
  | 0.7552        | 14.0  | 168434 | 1.0862          | 0.6449 |
  | 0.8279        | 15.0  | 180465 | 1.1162          | 0.6461 |
  | 0.7769        | 16.0  | 192496 | 1.1023          | 0.6420 |
  | 0.7918        | 17.0  | 204527 | 1.1085          | 0.6456 |
  | 0.6941        | 18.0  | 216558 | 1.1139          | 0.6417 |
  | 0.7379        | 19.0  | 228589 | 1.1126          | 0.6410 |
  | 0.7467        | 20.0  | 240620 | 1.1102          | 0.6369 |
  | 0.8045        | 21.0  | 252651 | 1.1191          | 0.6376 |
  | 0.7059        | 22.0  | 264682 | 1.1285          | 0.6381 |
  | 0.7008        | 23.0  | 276713 | 1.1328          | 0.6377 |
  | 0.7816        | 24.0  | 288744 | 1.1326          | 0.6366 |
  | 0.7426        | 25.0  | 300775 | 1.1420          | 0.6362 |
  | 0.7226        | 26.0  | 312806 | 1.1326          | 0.6350 |
  | 0.665         | 27.0  | 324837 | 1.1419          | 0.6346 |
  | 0.7184        | 28.0  | 336868 | 1.1480          | 0.6346 |
  | 0.77          | 29.0  | 348899 | 1.1476          | 0.6343 |
  | 0.727         | 30.0  | 360930 | 1.1494          | 0.6348 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  