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-v4-1
    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-v4-1
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v4](https://huggingface.co/gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v4) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2143
  - Wer: 0.1211
  
  ## 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: 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.2609        | 1.0   | 280  | 0.2313          | 0.1376 |
  | 0.2297        | 2.0   | 560  | 0.2240          | 0.1397 |
  | 0.1951        | 3.0   | 840  | 0.2280          | 0.1361 |
  | 0.1816        | 4.0   | 1120 | 0.2215          | 0.1282 |
  | 0.1634        | 5.0   | 1400 | 0.2180          | 0.1240 |
  | 0.1338        | 6.0   | 1680 | 0.2226          | 0.1241 |
  | 0.1411        | 7.0   | 1960 | 0.2143          | 0.1211 |
  | 0.1143        | 8.0   | 2240 | 0.2181          | 0.1174 |
  | 0.1127        | 9.0   | 2520 | 0.2215          | 0.1167 |
  | 0.105         | 10.0  | 2800 | 0.2196          | 0.1160 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  