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-v2
    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-v2
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v2](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v2) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4660
  - Wer: 0.2274
  
  ## 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-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: 1000
  - num_epochs: 500.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.4528        | 1.0   | 72    | 0.4860          | 0.2236 |
  | 0.4403        | 2.0   | 144   | 0.4814          | 0.2222 |
  | 0.4309        | 3.0   | 216   | 0.4952          | 0.2238 |
  | 0.4193        | 4.0   | 288   | 0.4864          | 0.2190 |
  | 0.427         | 5.0   | 360   | 0.5071          | 0.2261 |
  | 0.4342        | 6.0   | 432   | 0.4932          | 0.2218 |
  | 0.4205        | 7.0   | 504   | 0.4869          | 0.2222 |
  | 0.437         | 8.0   | 576   | 0.5125          | 0.2224 |
  | 0.4316        | 9.0   | 648   | 0.5095          | 0.2285 |
  | 0.4383        | 10.0  | 720   | 0.5398          | 0.2346 |
  | 0.4431        | 11.0  | 792   | 0.5177          | 0.2259 |
  | 0.4555        | 12.0  | 864   | 0.5246          | 0.2335 |
  | 0.4488        | 13.0  | 936   | 0.5248          | 0.2277 |
  | 0.4449        | 14.0  | 1008  | 0.5196          | 0.2254 |
  | 0.4629        | 15.0  | 1080  | 0.4933          | 0.2297 |
  | 0.4565        | 16.0  | 1152  | 0.5469          | 0.2297 |
  | 0.4396        | 17.0  | 1224  | 0.5356          | 0.2439 |
  | 0.4452        | 18.0  | 1296  | 0.5298          | 0.2510 |
  | 0.4449        | 19.0  | 1368  | 0.5024          | 0.2291 |
  | 0.4437        | 20.0  | 1440  | 0.5288          | 0.2374 |
  | 0.4572        | 21.0  | 1512  | 0.4954          | 0.2344 |
  | 0.4633        | 22.0  | 1584  | 0.5043          | 0.2361 |
  | 0.4486        | 23.0  | 1656  | 0.5076          | 0.2250 |
  | 0.4386        | 24.0  | 1728  | 0.5564          | 0.2492 |
  | 0.4478        | 25.0  | 1800  | 0.5299          | 0.2236 |
  | 0.4654        | 26.0  | 1872  | 0.5076          | 0.2276 |
  | 0.453         | 27.0  | 1944  | 0.5666          | 0.2395 |
  | 0.4474        | 28.0  | 2016  | 0.5026          | 0.2254 |
  | 0.4465        | 29.0  | 2088  | 0.5216          | 0.2352 |
  | 0.4689        | 30.0  | 2160  | 0.5293          | 0.2370 |
  | 0.4467        | 31.0  | 2232  | 0.4856          | 0.2303 |
  | 0.4379        | 32.0  | 2304  | 0.5089          | 0.2240 |
  | 0.4302        | 33.0  | 2376  | 0.4958          | 0.2173 |
  | 0.4417        | 34.0  | 2448  | 0.5392          | 0.2337 |
  | 0.4458        | 35.0  | 2520  | 0.5229          | 0.2416 |
  | 0.4415        | 36.0  | 2592  | 0.5280          | 0.2344 |
  | 0.4621        | 37.0  | 2664  | 0.5362          | 0.2459 |
  | 0.44          | 38.0  | 2736  | 0.5071          | 0.2285 |
  | 0.4288        | 39.0  | 2808  | 0.5264          | 0.2313 |
  | 0.4594        | 40.0  | 2880  | 0.5238          | 0.2306 |
  | 0.4428        | 41.0  | 2952  | 0.5375          | 0.2286 |
  | 0.4233        | 42.0  | 3024  | 0.5214          | 0.2254 |
  | 0.4462        | 43.0  | 3096  | 0.5145          | 0.2450 |
  | 0.4282        | 44.0  | 3168  | 0.5519          | 0.2254 |
  | 0.454         | 45.0  | 3240  | 0.5401          | 0.2382 |
  | 0.4494        | 46.0  | 3312  | 0.5117          | 0.2229 |
  | 0.4292        | 47.0  | 3384  | 0.5295          | 0.2352 |
  | 0.4321        | 48.0  | 3456  | 0.4953          | 0.2299 |
  | 0.4145        | 49.0  | 3528  | 0.5233          | 0.2297 |
  | 0.4278        | 50.0  | 3600  | 0.5151          | 0.2258 |
  | 0.4395        | 51.0  | 3672  | 0.4660          | 0.2274 |
  | 0.4298        | 52.0  | 3744  | 0.5083          | 0.2409 |
  | 0.4279        | 53.0  | 3816  | 0.4855          | 0.2219 |
  | 0.4164        | 54.0  | 3888  | 0.5074          | 0.2267 |
  | 0.4386        | 55.0  | 3960  | 0.5016          | 0.2241 |
  | 0.4497        | 56.0  | 4032  | 0.5378          | 0.2305 |
  | 0.4267        | 57.0  | 4104  | 0.5199          | 0.2344 |
  | 0.4083  