readme: ---
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing_ft_wav2vec2-large-xlsr-53
    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-xlsr-53
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4327
  - Wer: 0.2043
  
  ## 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: 5e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.4089        | 1.0   | 552  | 1.4750          | 0.9054 |
  | 0.7995        | 2.0   | 1104 | 0.9044          | 0.6163 |
  | 0.6232        | 3.0   | 1656 | 0.6645          | 0.3980 |
  | 0.5351        | 4.0   | 2208 | 0.5674          | 0.3120 |
  | 0.472         | 5.0   | 2760 | 0.5167          | 0.2579 |
  | 0.3913        | 6.0   | 3312 | 0.4553          | 0.2335 |
  | 0.3306        | 7.0   | 3864 | 0.4476          | 0.2114 |
  | 0.3028        | 8.0   | 4416 | 0.4327          | 0.2043 |
  | 0.317         | 9.0   | 4968 | 0.4355          | 0.2033 |
  | 0.2494        | 10.0  | 5520 | 0.4405          | 0.2022 |
  
  
  ### Framework versions
  
  - Transformers 4.20.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.1.dev0
  - Tokenizers 0.12.1
  