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
    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
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-2](https://huggingface.co/gary109/ai-light-dance_singing2_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: 0.2311
  - Wer: 0.1042
  
  ## 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: 500
  - num_epochs: 100.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.9329        | 1.0   | 72   | 0.4334          | 0.1349 |
  | 0.7631        | 2.0   | 144  | 0.3390          | 0.1318 |
  | 0.7575        | 3.0   | 216  | 0.3182          | 0.1441 |
  | 0.667         | 4.0   | 288  | 0.2995          | 0.1288 |
  | 0.6474        | 5.0   | 360  | 0.3211          | 0.1574 |
  | 0.6094        | 6.0   | 432  | 0.2944          | 0.1530 |
  | 0.5586        | 7.0   | 504  | 0.3446          | 0.1809 |
  | 0.5728        | 8.0   | 576  | 0.2682          | 0.1246 |
  | 0.575         | 9.0   | 648  | 0.2610          | 0.1244 |
  | 0.5882        | 10.0  | 720  | 0.2463          | 0.1199 |
  | 0.5367        | 11.0  | 792  | 0.2542          | 0.1093 |
  | 0.5261        | 12.0  | 864  | 0.2523          | 0.1131 |
  | 0.5091        | 13.0  | 936  | 0.2491          | 0.1175 |
  | 0.5323        | 14.0  | 1008 | 0.2535          | 0.1208 |
  | 0.5478        | 15.0  | 1080 | 0.2542          | 0.1204 |
  | 0.4775        | 16.0  | 1152 | 0.2476          | 0.1138 |
  | 0.4922        | 17.0  | 1224 | 0.2535          | 0.1162 |
  | 0.4893        | 18.0  | 1296 | 0.2501          | 0.1143 |
  | 0.4672        | 19.0  | 1368 | 0.2703          | 0.1162 |
  | 0.4764        | 20.0  | 1440 | 0.2632          | 0.1253 |
  | 0.4716        | 21.0  | 1512 | 0.2534          | 0.1097 |
  | 0.4733        | 22.0  | 1584 | 0.2496          | 0.1086 |
  | 0.4577        | 23.0  | 1656 | 0.2637          | 0.1225 |
  | 0.4714        | 24.0  | 1728 | 0.2489          | 0.1102 |
  | 0.4615        | 25.0  | 1800 | 0.2399          | 0.1020 |
  | 0.4636        | 26.0  | 1872 | 0.2311          | 0.1042 |
  | 0.4564        | 27.0  | 1944 | 0.2413          | 0.1042 |
  | 0.4452        | 28.0  | 2016 | 0.2436          | 0.1037 |
  | 0.4336        | 29.0  | 2088 | 0.2484          | 0.1070 |
  | 0.4628        | 30.0  | 2160 | 0.2385          | 0.1005 |
  | 0.4475        | 31.0  | 2232 | 0.2446          | 0.1075 |
  | 0.4264        | 32.0  | 2304 | 0.2548          | 0.1068 |
  | 0.4417        | 33.0  | 2376 | 0.2442          | 0.1046 |
  | 0.4165        | 34.0  | 2448 | 0.2458          | 0.1045 |
  | 0.4398        | 35.0  | 2520 | 0.2475          | 0.0979 |
  | 0.4334        | 36.0  | 2592 | 0.2375          | 0.1027 |
  | 0.4279        | 37.0  | 2664 | 0.2462          | 0.1053 |
  | 0.4213        | 38.0  | 2736 | 0.2402          | 0.1028 |
  | 0.4394        | 39.0  | 2808 | 0.2385          | 0.1020 |
  | 0.4415        | 40.0  | 2880 | 0.2428          | 0.1021 |
  | 0.4173        | 41.0  | 2952 | 0.2356          | 0.1016 |
  | 0.4006        | 42.0  | 3024 | 0.2461          | 0.1007 |
  | 0.4055        | 43.0  | 3096 | 0.2412          | 0.0998 |
  | 0.4163        | 44.0  | 3168 | 0.2378          | 0.0976 |
  | 0.4143        | 45.0  | 3240 | 0.2471          | 0.0996 |
  | 0.4132        | 46.0  | 3312 | 0.2457          | 0.1004 |
  | 0.3991        | 47.0  | 3384 | 0.2350          | 0.1019 |
  | 0.4014        | 48.0  | 3456 | 0.2400          | 0.1025 |
  | 0.416         | 49.0  | 3528 | 0.2370          | 0.1010 |
  | 0.4067        | 50.0  | 3600 | 0.2444          | 0.1010 |
  | 0.3876        | 51.0  | 3672 | 0.2491          | 0.1057 |
  | 0.3964        | 52.0  | 3744 | 0.2451          | 0.1075 |
  | 0.3903        | 53.0  | 3816 | 0.2395          | 0.1003 |
  | 0.4036        | 54.0  | 3888 | 0.2446          | 0.1016 |
  | 0.3936        | 55.0  | 3960 | 0.2520          | 0.0997 |
  | 0.4094        | 56.0  | 4032 | 0.2401          | 0.0992 |
  | 0.3977        | 57.0  | 4104 | 0.2498          | 0.1019 |
  | 0.3942        | 58.0  | 4176 | 0.2496          | 0.0989 