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-v1
    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-v1
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5459
  - Wer: 0.2463
  
  ## 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: 1e-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: 1000
  - num_epochs: 50.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Wer    |
  |:-------------:|:-----:|:------:|:---------------:|:------:|
  | 0.3909        | 1.0   | 2309   | 0.5615          | 0.2459 |
  | 0.4094        | 2.0   | 4618   | 0.5654          | 0.2439 |
  | 0.326         | 3.0   | 6927   | 0.5568          | 0.2470 |
  | 0.4577        | 4.0   | 9236   | 0.5795          | 0.2474 |
  | 0.3628        | 5.0   | 11545  | 0.5459          | 0.2463 |
  | 0.3135        | 6.0   | 13854  | 0.5582          | 0.2473 |
  | 0.5058        | 7.0   | 16163  | 0.5677          | 0.2439 |
  | 0.3188        | 8.0   | 18472  | 0.5646          | 0.2445 |
  | 0.3589        | 9.0   | 20781  | 0.5626          | 0.2479 |
  | 0.4021        | 10.0  | 23090  | 0.5722          | 0.2452 |
  | 0.4362        | 11.0  | 25399  | 0.5659          | 0.2431 |
  | 0.3215        | 12.0  | 27708  | 0.5658          | 0.2445 |
  | 0.3646        | 13.0  | 30017  | 0.5785          | 0.2459 |
  | 0.3757        | 14.0  | 32326  | 0.5757          | 0.2418 |
  | 0.3311        | 15.0  | 34635  | 0.5672          | 0.2455 |
  | 0.3709        | 16.0  | 36944  | 0.5669          | 0.2434 |
  | 0.3342        | 17.0  | 39253  | 0.5610          | 0.2455 |
  | 0.3236        | 18.0  | 41562  | 0.5652          | 0.2436 |
  | 0.3566        | 19.0  | 43871  | 0.5773          | 0.2407 |
  | 0.2912        | 20.0  | 46180  | 0.5764          | 0.2453 |
  | 0.3652        | 21.0  | 48489  | 0.5732          | 0.2423 |
  | 0.3785        | 22.0  | 50798  | 0.5696          | 0.2423 |
  | 0.3968        | 23.0  | 53107  | 0.5690          | 0.2429 |
  | 0.2968        | 24.0  | 55416  | 0.5800          | 0.2427 |
  | 0.428         | 25.0  | 57725  | 0.5704          | 0.2441 |
  | 0.383         | 26.0  | 60034  | 0.5739          | 0.2450 |
  | 0.3694        | 27.0  | 62343  | 0.5791          | 0.2437 |
  | 0.3449        | 28.0  | 64652  | 0.5780          | 0.2451 |
  | 0.3008        | 29.0  | 66961  | 0.5749          | 0.2418 |
  | 0.3939        | 30.0  | 69270  | 0.5737          | 0.2424 |
  | 0.3451        | 31.0  | 71579  | 0.5805          | 0.2402 |
  | 0.3513        | 32.0  | 73888  | 0.5670          | 0.2379 |
  | 0.3866        | 33.0  | 76197  | 0.5706          | 0.2389 |
  | 0.3831        | 34.0  | 78506  | 0.5635          | 0.2401 |
  | 0.3641        | 35.0  | 80815  | 0.5708          | 0.2405 |
  | 0.3345        | 36.0  | 83124  | 0.5699          | 0.2405 |
  | 0.2902        | 37.0  | 85433  | 0.5711          | 0.2373 |
  | 0.2868        | 38.0  | 87742  | 0.5713          | 0.2389 |
  | 0.3232        | 39.0  | 90051  | 0.5702          | 0.2392 |
  | 0.3277        | 40.0  | 92360  | 0.5658          | 0.2393 |
  | 0.3234        | 41.0  | 94669  | 0.5732          | 0.2412 |
  | 0.3625        | 42.0  | 96978  | 0.5740          | 0.2396 |
  | 0.4075        | 43.0  | 99287  | 0.5733          | 0.2389 |
  | 0.3473        | 44.0  | 101596 | 0.5735          | 0.2394 |
  | 0.3157        | 45.0  | 103905 | 0.5721          | 0.2391 |
  | 0.3866        | 46.0  | 106214 | 0.5715          | 0.2381 |
  | 0.4062        | 47.0  | 108523 | 0.5711          | 0.2380 |
  | 0.3871        | 48.0  | 110832 | 0.5716          | 0.2380 |
  | 0.2924        | 49.0  | 113141 | 0.5723          | 0.2374 |
  | 0.3655        | 50.0  | 115450 | 0.5709          | 0.2379 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.3.dev0
  - Tokenizers 0.12.1
  