readme: ---
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - /workspace/asante/ai-light-dance_datasets/AI_Light_Dance.py
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing2_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_singing2_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 /WORKSPACE/ASANTE/AI-LIGHT-DANCE_DATASETS/AI_LIGHT_DANCE.PY - ONSET-SINGING2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7583
  - Wer: 0.9386
  
  ## 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: 10
  - eval_batch_size: 10
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 160
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 27.4755       | 1.0   | 112  | 23.2618         | 1.0    |
  | 5.5145        | 2.0   | 224  | 5.2213          | 1.0    |
  | 4.2211        | 3.0   | 336  | 4.1673          | 1.0    |
  | 3.8386        | 4.0   | 448  | 3.8253          | 1.0    |
  | 3.5531        | 5.0   | 560  | 3.6286          | 1.0    |
  | 3.5215        | 6.0   | 672  | 3.4762          | 0.9864 |
  | 3.3493        | 7.0   | 784  | 3.3549          | 0.9847 |
  | 3.1264        | 8.0   | 896  | 3.1797          | 0.9759 |
  | 2.7557        | 9.0   | 1008 | 2.8703          | 0.9865 |
  | 2.6345        | 10.0  | 1120 | 2.6736          | 0.9970 |
  | 2.4297        | 11.0  | 1232 | 2.5638          | 1.0337 |
  | 2.3057        | 12.0  | 1344 | 2.3680          | 0.9839 |
  | 2.1436        | 13.0  | 1456 | 2.2367          | 0.9648 |
  | 2.0856        | 14.0  | 1568 | 2.1635          | 0.9586 |
  | 2.0035        | 15.0  | 1680 | 2.0945          | 0.9645 |
  | 1.9134        | 16.0  | 1792 | 2.0395          | 0.9630 |
  | 1.9443        | 17.0  | 1904 | 2.0017          | 0.9401 |
  | 1.8988        | 18.0  | 2016 | 1.9514          | 0.9493 |
  | 1.8141        | 19.0  | 2128 | 1.9111          | 0.9475 |
  | 1.8344        | 20.0  | 2240 | 1.8790          | 0.9395 |
  | 1.7775        | 21.0  | 2352 | 1.8616          | 0.9503 |
  | 1.7517        | 22.0  | 2464 | 1.8333          | 0.9433 |
  | 1.7037        | 23.0  | 2576 | 1.8156          | 0.9372 |
  | 1.7158        | 24.0  | 2688 | 1.7961          | 0.9482 |
  | 1.7111        | 25.0  | 2800 | 1.7817          | 0.9422 |
  | 1.69          | 26.0  | 2912 | 1.7819          | 0.9430 |
  | 1.6889        | 27.0  | 3024 | 1.7721          | 0.9386 |
  | 1.6546        | 28.0  | 3136 | 1.7647          | 0.9453 |
  | 1.6542        | 29.0  | 3248 | 1.7653          | 0.9375 |
  | 1.647         | 30.0  | 3360 | 1.7583          | 0.9386 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  