readme: ---
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing3_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_singing3_ft_wav2vec2-large-xlsr-53
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8797
  - Wer: 0.5513
  
  ## 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-06
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.9613        | 1.0   | 2309  | 1.0171          | 0.7271 |
  | 0.8254        | 2.0   | 4618  | 0.9771          | 0.6650 |
  | 0.7406        | 3.0   | 6927  | 0.9174          | 0.6420 |
  | 0.74          | 4.0   | 9236  | 0.9551          | 0.6371 |
  | 0.5855        | 5.0   | 11545 | 0.9262          | 0.6453 |
  | 0.5536        | 6.0   | 13854 | 0.9056          | 0.5894 |
  | 0.505         | 7.0   | 16163 | 0.9166          | 0.6029 |
  | 0.449         | 8.0   | 18472 | 0.8816          | 0.5873 |
  | 0.4219        | 9.0   | 20781 | 0.8970          | 0.5589 |
  | 0.5764        | 10.0  | 23090 | 0.9189          | 0.5649 |
  | 0.5075        | 11.0  | 25399 | 0.8797          | 0.5513 |
  | 0.4366        | 12.0  | 27708 | 0.9011          | 0.5567 |
  | 0.4915        | 13.0  | 30017 | 0.9248          | 0.5455 |
  | 0.3554        | 14.0  | 32326 | 0.9309          | 0.5374 |
  | 0.3975        | 15.0  | 34635 | 0.9103          | 0.5259 |
  | 0.4119        | 16.0  | 36944 | 0.9402          | 0.5290 |
  | 0.267         | 17.0  | 39253 | 0.9479          | 0.5115 |
  | 0.3107        | 18.0  | 41562 | 0.9428          | 0.5099 |
  | 0.2684        | 19.0  | 43871 | 0.9508          | 0.5133 |
  | 0.2125        | 20.0  | 46180 | 0.9737          | 0.5097 |
  | 0.3149        | 21.0  | 48489 | 0.9992          | 0.5095 |
  | 0.2313        | 22.0  | 50798 | 1.0037          | 0.5059 |
  | 0.2674        | 23.0  | 53107 | 1.0091          | 0.5040 |
  | 0.2056        | 24.0  | 55416 | 1.0082          | 0.5076 |
  | 0.2781        | 25.0  | 57725 | 1.0160          | 0.5015 |
  | 0.2005        | 26.0  | 60034 | 1.0390          | 0.5131 |
  | 0.2221        | 27.0  | 62343 | 1.0401          | 0.5074 |
  | 0.1857        | 28.0  | 64652 | 1.0484          | 0.5096 |
  | 0.1562        | 29.0  | 66961 | 1.0516          | 0.5064 |
  | 0.3027        | 30.0  | 69270 | 1.0543          | 0.5049 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  