readme: ---
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v3
    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_singing2_ft_wav2vec2-large-xlsr-53-5gram-v3
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-v2](https://huggingface.co/gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-v2) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5265
  - Wer: 0.2256
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.2546        | 1.0   | 280  | 0.6004          | 0.2796 |
  | 0.2325        | 2.0   | 560  | 0.6337          | 0.2729 |
  | 0.2185        | 3.0   | 840  | 0.5546          | 0.2299 |
  | 0.1988        | 4.0   | 1120 | 0.5265          | 0.2256 |
  | 0.1755        | 5.0   | 1400 | 0.5577          | 0.2212 |
  | 0.1474        | 6.0   | 1680 | 0.6353          | 0.2241 |
  | 0.1498        | 7.0   | 1960 | 0.5758          | 0.2086 |
  | 0.1252        | 8.0   | 2240 | 0.5738          | 0.2052 |
  | 0.1174        | 9.0   | 2520 | 0.5994          | 0.2048 |
  | 0.1035        | 10.0  | 2800 | 0.5988          | 0.2038 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  