readme: ---
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  model-index:
  - name: ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2-1
    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_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2-1
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2](https://huggingface.co/gary109/ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING4 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2219
  - Wer: 0.0976
  
  ## 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: 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: 500
  - num_epochs: 100.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.4531        | 1.0   | 72   | 0.2317          | 0.1021 |
  | 0.4479        | 2.0   | 144  | 0.2335          | 0.1014 |
  | 0.4475        | 3.0   | 216  | 0.2340          | 0.1000 |
  | 0.4432        | 4.0   | 288  | 0.2372          | 0.0993 |
  | 0.447         | 5.0   | 360  | 0.2350          | 0.1008 |
  | 0.4318        | 6.0   | 432  | 0.2332          | 0.0989 |
  | 0.4162        | 7.0   | 504  | 0.2338          | 0.1002 |
  | 0.4365        | 8.0   | 576  | 0.2321          | 0.0990 |
  | 0.4318        | 9.0   | 648  | 0.2313          | 0.0992 |
  | 0.4513        | 10.0  | 720  | 0.2336          | 0.0994 |
  | 0.4257        | 11.0  | 792  | 0.2310          | 0.0982 |
  | 0.418         | 12.0  | 864  | 0.2316          | 0.0989 |
  | 0.4122        | 13.0  | 936  | 0.2341          | 0.0971 |
  | 0.4265        | 14.0  | 1008 | 0.2322          | 0.0992 |
  | 0.4477        | 15.0  | 1080 | 0.2334          | 0.0987 |
  | 0.4023        | 16.0  | 1152 | 0.2351          | 0.0971 |
  | 0.4095        | 17.0  | 1224 | 0.2304          | 0.0977 |
  | 0.42          | 18.0  | 1296 | 0.2313          | 0.0976 |
  | 0.3988        | 19.0  | 1368 | 0.2299          | 0.0984 |
  | 0.4078        | 20.0  | 1440 | 0.2310          | 0.0970 |
  | 0.4131        | 21.0  | 1512 | 0.2293          | 0.1007 |
  | 0.4209        | 22.0  | 1584 | 0.2313          | 0.0998 |
  | 0.3931        | 23.0  | 1656 | 0.2351          | 0.1014 |
  | 0.406         | 24.0  | 1728 | 0.2336          | 0.0992 |
  | 0.3998        | 25.0  | 1800 | 0.2355          | 0.1009 |
  | 0.4197        | 26.0  | 1872 | 0.2346          | 0.0996 |
  | 0.4289        | 27.0  | 1944 | 0.2283          | 0.1001 |
  | 0.4197        | 28.0  | 2016 | 0.2281          | 0.1000 |
  | 0.4107        | 29.0  | 2088 | 0.2327          | 0.1007 |
  | 0.442         | 30.0  | 2160 | 0.2279          | 0.0985 |
  | 0.4315        | 31.0  | 2232 | 0.2284          | 0.0993 |
  | 0.4095        | 32.0  | 2304 | 0.2275          | 0.0998 |
  | 0.4277        | 33.0  | 2376 | 0.2281          | 0.0996 |
  | 0.4114        | 34.0  | 2448 | 0.2267          | 0.1008 |
  | 0.4311        | 35.0  | 2520 | 0.2274          | 0.0982 |
  | 0.4193        | 36.0  | 2592 | 0.2259          | 0.0987 |
  | 0.421         | 37.0  | 2664 | 0.2277          | 0.0989 |
  | 0.4084        | 38.0  | 2736 | 0.2268          | 0.0992 |
  | 0.4302        | 39.0  | 2808 | 0.2287          | 0.0996 |
  | 0.4379        | 40.0  | 2880 | 0.2281          | 0.0984 |
  | 0.415         | 41.0  | 2952 | 0.2270          | 0.1006 |
  | 0.4035        | 42.0  | 3024 | 0.2299          | 0.0992 |
  | 0.4103        | 43.0  | 3096 | 0.2257          | 0.0987 |
  | 0.4187        | 44.0  | 3168 | 0.2260          | 0.0975 |
  | 0.4254        | 45.0  | 3240 | 0.2273          | 0.0985 |
  | 0.415         | 46.0  | 3312 | 0.2312          | 0.1000 |
  | 0.4069        | 47.0  | 3384 | 0.2270          | 0.1003 |
  | 0.4085        | 48.0  | 3456 | 0.2230          | 0.0978 |
  | 0.4287        | 49.0  | 3528 | 0.2241          | 0.0989 |
  | 0.4227        | 50.0  | 3600 | 0.2233          | 0.0994 |
  | 0.3998        | 51.0  | 3672 | 0.2268          | 0.0991 |
  | 0.4139        | 52.0  | 3744 | 0.2224          | 0.0987 |
  | 0.409         | 53.0  | 3816 | 0.2256          | 0.1001 |
  | 0.4191        | 54.0  | 3888 | 0.2264          | 0.0991 |
  | 0.4156        | 55.0  | 3960 | 0.2237          | 0.0993 |
  | 0.4252        | 56.0  | 4032 | 0.2250          | 0.0988 |
  | 0.4207        | 57.0  | 4104 | 0.2246          | 0.0989 |
  | 0.4143        | 58.0  | 4176 | 0.2248          | 0.0