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-v1-5gram
    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-v1-5gram
  
  This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4505
  - Wer: 0.2119
  
  ## 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-07
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 32
  - 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.3355        | 1.0   | 144   | 0.4505          | 0.2119 |
  | 0.3069        | 2.0   | 288   | 0.4509          | 0.2124 |
  | 0.3049        | 3.0   | 432   | 0.4511          | 0.2119 |
  | 0.3028        | 4.0   | 576   | 0.4521          | 0.2114 |
  | 0.3092        | 5.0   | 720   | 0.4532          | 0.2112 |
  | 0.3043        | 6.0   | 864   | 0.4536          | 0.2117 |
  | 0.2903        | 7.0   | 1008  | 0.4543          | 0.2114 |
  | 0.3124        | 8.0   | 1152  | 0.4538          | 0.2118 |
  | 0.3079        | 9.0   | 1296  | 0.4541          | 0.2121 |
  | 0.3093        | 10.0  | 1440  | 0.4537          | 0.2117 |
  | 0.3093        | 11.0  | 1584  | 0.4544          | 0.2111 |
  | 0.3202        | 12.0  | 1728  | 0.4549          | 0.2110 |
  | 0.3086        | 13.0  | 1872  | 0.4546          | 0.2104 |
  | 0.2947        | 14.0  | 2016  | 0.4542          | 0.2119 |
  | 0.3145        | 15.0  | 2160  | 0.4539          | 0.2115 |
  | 0.3292        | 16.0  | 2304  | 0.4532          | 0.2115 |
  | 0.3049        | 17.0  | 2448  | 0.4547          | 0.2117 |
  | 0.3177        | 18.0  | 2592  | 0.4544          | 0.2111 |
  | 0.3108        | 19.0  | 2736  | 0.4547          | 0.2114 |
  | 0.2944        | 20.0  | 2880  | 0.4560          | 0.2105 |
  | 0.3232        | 21.0  | 3024  | 0.4560          | 0.2113 |
  | 0.3196        | 22.0  | 3168  | 0.4559          | 0.2107 |
  | 0.3207        | 23.0  | 3312  | 0.4563          | 0.2106 |
  | 0.3039        | 24.0  | 3456  | 0.4555          | 0.2110 |
  | 0.3157        | 25.0  | 3600  | 0.4560          | 0.2117 |
  | 0.3285        | 26.0  | 3744  | 0.4561          | 0.2102 |
  | 0.3125        | 27.0  | 3888  | 0.4553          | 0.2107 |
  | 0.3051        | 28.0  | 4032  | 0.4560          | 0.2103 |
  | 0.3166        | 29.0  | 4176  | 0.4560          | 0.2103 |
  | 0.321         | 30.0  | 4320  | 0.4551          | 0.2101 |
  | 0.3146        | 31.0  | 4464  | 0.4552          | 0.2100 |
  | 0.323         | 32.0  | 4608  | 0.4551          | 0.2105 |
  | 0.3223        | 33.0  | 4752  | 0.4554          | 0.2101 |
  | 0.3105        | 34.0  | 4896  | 0.4549          | 0.2102 |
  | 0.3134        | 35.0  | 5040  | 0.4552          | 0.2101 |
  | 0.3054        | 36.0  | 5184  | 0.4550          | 0.2103 |
  | 0.3162        | 37.0  | 5328  | 0.4554          | 0.2106 |
  | 0.3094        | 38.0  | 5472  | 0.4551          | 0.2099 |
  | 0.3174        | 39.0  | 5616  | 0.4553          | 0.2105 |
  | 0.3218        | 40.0  | 5760  | 0.4553          | 0.2106 |
  | 0.3134        | 41.0  | 5904  | 0.4552          | 0.2101 |
  | 0.3019        | 42.0  | 6048  | 0.4552          | 0.2101 |
  | 0.3169        | 43.0  | 6192  | 0.4552          | 0.2095 |
  | 0.3209        | 44.0  | 6336  | 0.4550          | 0.2090 |
  | 0.3035        | 45.0  | 6480  | 0.4550          | 0.2100 |
  | 0.3181        | 46.0  | 6624  | 0.4550          | 0.2104 |
  | 0.3133        | 47.0  | 6768  | 0.4546          | 0.2096 |
  | 0.3173        | 48.0  | 6912  | 0.4556          | 0.2099 |
  | 0.3174        | 49.0  | 7056  | 0.4552          | 0.2101 |
  | 0.313         | 50.0  | 7200  | 0.4553          | 0.2100 |
  | 0.3139        | 51.0  | 7344  | 0.4555          | 0.2101 |
  | 0.3054        | 52.0  | 7488  | 0.4555          | 0.2100 |
  | 0.3212        | 53.0  | 7632  | 0.4554          | 0.2097 |
  | 0.3252        | 54.0  | 7776  | 0.4553          | 0.2097 |
  | 0.3063        | 55.0  | 7920  | 0.4554          | 0.2106 |
  | 0.3206        | 56.0  | 8064  | 0.4551          | 0.2097 |
  | 0.3176        | 57.0  | 8208  | 0.4552        