readme: ---
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - AI_Light_Dance.py
  - generated_from_trainer
  datasets:
  - ai_light_dance
  model-index:
  - name: ai-light-dance_singing_ft_wav2vec2-large-lv60
    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_singing_ft_wav2vec2-large-lv60
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the AI_LIGHT_DANCE.PY - ONSET-SINGING dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4542
  - Wer: 0.2088
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.7432        | 1.0   | 4422  | 0.8939          | 0.6323 |
  | 0.5484        | 2.0   | 8844  | 0.6393          | 0.3557 |
  | 0.3919        | 3.0   | 13266 | 0.5315          | 0.2833 |
  | 0.421         | 4.0   | 17688 | 0.5234          | 0.2522 |
  | 0.3957        | 5.0   | 22110 | 0.5125          | 0.2247 |
  | 0.3228        | 6.0   | 26532 | 0.4542          | 0.2088 |
  | 0.346         | 7.0   | 30954 | 0.4673          | 0.1997 |
  | 0.1637        | 8.0   | 35376 | 0.4583          | 0.1910 |
  | 0.1508        | 9.0   | 39798 | 0.4623          | 0.1837 |
  | 0.1564        | 10.0  | 44220 | 0.4717          | 0.1835 |
  
  
  ### Framework versions
  
  - Transformers 4.20.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2.dev0
  - Tokenizers 0.12.1
  