readme: ---
  tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
  datasets:
  - ai_light_dance
  metrics:
  - wer
  model-index:
  - name: ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-2_8k
    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_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-2_8k
  
  This model is a fine-tuned version of [gary109/ai-light-dance_drums_pretrain_wav2vec2-base-new](https://huggingface.co/gary109/ai-light-dance_drums_pretrain_wav2vec2-base-new) on the GARY109/AI_LIGHT_DANCE - ONSET-IDMT-2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5029
  - Wer: 0.3178
  
  ## 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: 0.0003
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 30
  - num_epochs: 100.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 9    | 101.8046        | 0.98   |
  | 17.4958       | 2.0   | 18   | 82.4920         | 1.0    |
  | 16.2087       | 3.0   | 27   | 36.1388         | 1.0    |
  | 6.2942        | 4.0   | 36   | 8.3267          | 1.0    |
  | 2.0411        | 5.0   | 45   | 6.8215          | 1.0    |
  | 1.554         | 6.0   | 54   | 5.3847          | 1.0    |
  | 1.6215        | 7.0   | 63   | 4.4645          | 1.0    |
  | 1.4962        | 8.0   | 72   | 3.2211          | 1.0    |
  | 1.3825        | 9.0   | 81   | 2.5513          | 1.0    |
  | 1.3443        | 10.0  | 90   | 2.8582          | 1.0    |
  | 1.3443        | 11.0  | 99   | 2.5446          | 1.0    |
  | 1.3096        | 12.0  | 108  | 2.0211          | 0.9956 |
  | 1.3361        | 13.0  | 117  | 1.8110          | 0.9944 |
  | 1.2862        | 14.0  | 126  | 1.7796          | 0.9933 |
  | 1.2556        | 15.0  | 135  | 1.7301          | 0.9922 |
  | 1.1959        | 16.0  | 144  | 1.4245          | 0.9989 |
  | 1.1161        | 17.0  | 153  | 1.1932          | 0.5678 |
  | 0.8853        | 18.0  | 162  | 1.2726          | 0.4922 |
  | 0.7996        | 19.0  | 171  | 1.0841          | 0.5511 |
  | 0.8165        | 20.0  | 180  | 1.4062          | 0.4411 |
  | 0.8165        | 21.0  | 189  | 1.4219          | 0.3367 |
  | 0.6807        | 22.0  | 198  | 1.2107          | 0.3344 |
  | 0.7315        | 23.0  | 207  | 1.1420          | 0.3189 |
  | 0.6203        | 24.0  | 216  | 1.0770          | 0.3778 |
  | 0.6552        | 25.0  | 225  | 1.1095          | 0.3789 |
  | 0.5618        | 26.0  | 234  | 1.0004          | 0.3478 |
  | 0.5311        | 27.0  | 243  | 0.8811          | 0.3311 |
  | 0.5391        | 28.0  | 252  | 0.8163          | 0.3678 |
  | 0.5275        | 29.0  | 261  | 1.0000          | 0.3311 |
  | 0.4965        | 30.0  | 270  | 0.7320          | 0.37   |
  | 0.4965        | 31.0  | 279  | 0.9643          | 0.3389 |
  | 0.4909        | 32.0  | 288  | 0.7663          | 0.3589 |
  | 0.5218        | 33.0  | 297  | 0.9004          | 0.3489 |
  | 0.4991        | 34.0  | 306  | 0.7342          | 0.38   |
  | 0.4883        | 35.0  | 315  | 0.7959          | 0.3389 |
  | 0.4902        | 36.0  | 324  | 0.6892          | 0.3378 |
  | 0.4447        | 37.0  | 333  | 0.6480          | 0.3333 |
  | 0.4458        | 38.0  | 342  | 0.6198          | 0.3333 |
  | 0.4607        | 39.0  | 351  | 0.6081          | 0.3111 |
  | 0.4352        | 40.0  | 360  | 0.6748          | 0.3156 |
  | 0.4352        | 41.0  | 369  | 0.6885          | 0.3256 |
  | 0.4286        | 42.0  | 378  | 0.6806          | 0.3333 |
  | 0.4314        | 43.0  | 387  | 0.7855          | 0.3222 |
  | 0.4476        | 44.0  | 396  | 0.6569          | 0.3144 |
  | 0.4815        | 45.0  | 405  | 0.5389          | 0.3033 |
  | 0.36          | 46.0  | 414  | 0.5550          | 0.3011 |
  | 0.4516        | 47.0  | 423  | 0.5924          | 0.3144 |
  | 0.3682        | 48.0  | 432  | 0.7275          | 0.3056 |
  | 0.4371        | 49.0  | 441  | 0.7051          | 0.3089 |
  | 0.4004        | 50.0  | 450  | 0.5669          | 0.3078 |
  | 0.4004        | 51.0  | 459  | 0.5029          | 0.3178 |
  | 0.3298        | 52.0  | 468  | 0.6150          | 0.32   |
  | 0.4083        | 53.0  | 477  | 0.5882          | 0.33   |
  | 0.4022        | 54.0  | 486  | 0.7253          | 0.3144 |
  | 0.4465        | 55.0  | 495  | 0.6808          | 0.3111 |
  | 0.3955        | 56.0  | 504  | 0.6002          | 0.3133 |
  | 0.3877        | 57.0  | 513  | 0.7593          | 0.3056 |
  | 0.3486        | 58.0  | 522  |