readme: ---
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing3_ft_pretrain2_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_pretrain2_wav2vec2-large-xlsr-53
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_pretrain2_wav2vec2-large-xlsr-53](https://huggingface.co/gary109/ai-light-dance_singing3_ft_pretrain2_wav2vec2-large-xlsr-53) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4279
  - Wer: 1.0087
  
  ## 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: 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: 100.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.209         | 1.0   | 72   | 2.5599          | 0.9889 |
  | 1.3395        | 2.0   | 144  | 2.7188          | 0.9877 |
  | 1.2695        | 3.0   | 216  | 2.9989          | 0.9709 |
  | 1.2818        | 4.0   | 288  | 3.2352          | 0.9757 |
  | 1.2389        | 5.0   | 360  | 3.6867          | 0.9783 |
  | 1.2368        | 6.0   | 432  | 3.3189          | 0.9811 |
  | 1.2307        | 7.0   | 504  | 3.0786          | 0.9657 |
  | 1.2607        | 8.0   | 576  | 2.9720          | 0.9677 |
  | 1.2584        | 9.0   | 648  | 2.5613          | 0.9702 |
  | 1.2266        | 10.0  | 720  | 2.6937          | 0.9610 |
  | 1.262         | 11.0  | 792  | 3.9060          | 0.9745 |
  | 1.2361        | 12.0  | 864  | 3.6138          | 0.9718 |
  | 1.2348        | 13.0  | 936  | 3.4838          | 0.9745 |
  | 1.2715        | 14.0  | 1008 | 3.3128          | 0.9751 |
  | 1.2505        | 15.0  | 1080 | 3.2015          | 0.9710 |
  | 1.211         | 16.0  | 1152 | 3.4709          | 0.9709 |
  | 1.2067        | 17.0  | 1224 | 3.0566          | 0.9673 |
  | 1.2536        | 18.0  | 1296 | 2.5479          | 0.9789 |
  | 1.2297        | 19.0  | 1368 | 2.8307          | 0.9710 |
  | 1.1949        | 20.0  | 1440 | 3.4112          | 0.9777 |
  | 1.2181        | 21.0  | 1512 | 2.6784          | 0.9682 |
  | 1.195         | 22.0  | 1584 | 3.0395          | 0.9639 |
  | 1.2047        | 23.0  | 1656 | 3.1935          | 0.9726 |
  | 1.2306        | 24.0  | 1728 | 3.2649          | 0.9723 |
  | 1.199         | 25.0  | 1800 | 3.1378          | 0.9645 |
  | 1.1945        | 26.0  | 1872 | 2.8143          | 0.9596 |
  | 1.19          | 27.0  | 1944 | 3.5174          | 0.9787 |
  | 1.1976        | 28.0  | 2016 | 2.9666          | 0.9594 |
  | 1.2229        | 29.0  | 2088 | 2.8672          | 0.9589 |
  | 1.1548        | 30.0  | 2160 | 2.6568          | 0.9627 |
  | 1.169         | 31.0  | 2232 | 2.8799          | 0.9654 |
  | 1.1857        | 32.0  | 2304 | 2.8691          | 0.9625 |
  | 1.1862        | 33.0  | 2376 | 2.8251          | 0.9555 |
  | 1.1721        | 34.0  | 2448 | 3.5968          | 0.9726 |
  | 1.1293        | 35.0  | 2520 | 3.4130          | 0.9651 |
  | 1.1513        | 36.0  | 2592 | 2.8804          | 0.9630 |
  | 1.1537        | 37.0  | 2664 | 2.5824          | 0.9575 |
  | 1.1818        | 38.0  | 2736 | 2.8443          | 0.9613 |
  | 1.1835        | 39.0  | 2808 | 2.6431          | 0.9619 |
  | 1.1457        | 40.0  | 2880 | 2.9254          | 0.9639 |
  | 1.1591        | 41.0  | 2952 | 2.8194          | 0.9561 |
  | 1.1284        | 42.0  | 3024 | 2.6432          | 0.9806 |
  | 1.1602        | 43.0  | 3096 | 2.4279          | 1.0087 |
  | 1.1556        | 44.0  | 3168 | 2.5040          | 1.0030 |
  | 1.1256        | 45.0  | 3240 | 3.1641          | 0.9608 |
  | 1.1256        | 46.0  | 3312 | 2.9522          | 0.9677 |
  | 1.1211        | 47.0  | 3384 | 2.6318          | 0.9580 |
  | 1.1142        | 48.0  | 3456 | 2.7298          | 0.9533 |
  | 1.1237        | 49.0  | 3528 | 2.5442          | 0.9673 |
  | 1.0976        | 50.0  | 3600 | 2.7767          | 0.9610 |
  | 1.1154        | 51.0  | 3672 | 2.6849          | 0.9646 |
  | 1.1012        | 52.0  | 3744 | 2.5384          | 0.9621 |
  | 1.1077        | 53.0  | 3816 | 2.4505          | 1.0067 |
  | 1.0936        | 54.0  | 3888 | 2.5847          | 0.9687 |
  | 1.0772        | 55.0  | 3960 | 2.4575          | 0.9761 |
  | 1.092         | 56.0  | 4032 | 2.4889          | 0.9802 |
  | 1.0868        | 57.0  | 4104 | 2.5885          | 0.9664 |
  | 1.0979        | 58.0  | 4176 | 2.6370          | 0.9607 |
  | 