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-v3
    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-v3
  
  This model is a fine-tuned version of [gary109/ai-light-dance_drums_ft_pretrain_wav2vec2-base-new-v3](https://huggingface.co/gary109/ai-light-dance_drums_ft_pretrain_wav2vec2-base-new-v3) on the GARY109/AI_LIGHT_DANCE - ONSET-IDMT-SMT-DRUMS-V2+MDBDRUMS dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5550
  - Wer: 0.3147
  
  ## 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: 0.0001
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 4
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.1747        | 1.0   | 45   | 0.5638          | 0.3337 |
  | 0.2339        | 2.0   | 90   | 0.5785          | 0.3254 |
  | 0.2849        | 3.0   | 135  | 0.5586          | 0.3397 |
  | 0.2396        | 4.0   | 180  | 0.5868          | 0.3266 |
  | 0.2272        | 5.0   | 225  | 0.6052          | 0.3230 |
  | 0.2497        | 6.0   | 270  | 0.5913          | 0.3278 |
  | 0.2218        | 7.0   | 315  | 0.5926          | 0.3349 |
  | 0.2584        | 8.0   | 360  | 0.5617          | 0.3218 |
  | 0.2741        | 9.0   | 405  | 0.5901          | 0.3230 |
  | 0.2481        | 10.0  | 450  | 0.5860          | 0.3278 |
  | 0.2504        | 11.0  | 495  | 0.5991          | 0.3123 |
  | 0.2125        | 12.0  | 540  | 0.5992          | 0.3218 |
  | 0.2482        | 13.0  | 585  | 0.5756          | 0.3194 |
  | 0.2135        | 14.0  | 630  | 0.5836          | 0.3302 |
  | 0.2345        | 15.0  | 675  | 0.6347          | 0.3254 |
  | 0.1912        | 16.0  | 720  | 0.6160          | 0.3206 |
  | 0.2117        | 17.0  | 765  | 0.6268          | 0.3099 |
  | 0.2217        | 18.0  | 810  | 0.6873          | 0.3182 |
  | 0.2165        | 19.0  | 855  | 0.6721          | 0.3159 |
  | 0.207         | 20.0  | 900  | 0.6312          | 0.3206 |
  | 0.2263        | 21.0  | 945  | 0.6223          | 0.3290 |
  | 0.2015        | 22.0  | 990  | 0.6319          | 0.3182 |
  | 0.1997        | 23.0  | 1035 | 0.6527          | 0.3135 |
  | 0.2318        | 24.0  | 1080 | 0.5987          | 0.3278 |
  | 0.2196        | 25.0  | 1125 | 0.6269          | 0.3242 |
  | 0.2298        | 26.0  | 1170 | 0.5774          | 0.3254 |
  | 0.2117        | 27.0  | 1215 | 0.5938          | 0.3027 |
  | 0.2553        | 28.0  | 1260 | 0.5831          | 0.3123 |
  | 0.226         | 29.0  | 1305 | 0.6151          | 0.3099 |
  | 0.1635        | 30.0  | 1350 | 0.5622          | 0.3230 |
  | 0.5734        | 31.0  | 1395 | 0.6198          | 0.2920 |
  | 0.2196        | 32.0  | 1440 | 0.5779          | 0.3039 |
  | 0.2019        | 33.0  | 1485 | 0.5866          | 0.3111 |
  | 0.2222        | 34.0  | 1530 | 0.5557          | 0.3063 |
  | 0.2167        | 35.0  | 1575 | 0.5740          | 0.3206 |
  | 0.2011        | 36.0  | 1620 | 0.5598          | 0.3004 |
  | 0.2032        | 37.0  | 1665 | 0.5550          | 0.3147 |
  | 0.225         | 38.0  | 1710 | 0.5794          | 0.3099 |
  | 0.2068        | 39.0  | 1755 | 0.6223          | 0.3063 |
  | 0.2105        | 40.0  | 1800 | 0.5797          | 0.3039 |
  | 0.1968        | 41.0  | 1845 | 0.5681          | 0.2968 |
  | 0.224         | 42.0  | 1890 | 0.5742          | 0.3170 |
  | 0.2351        | 43.0  | 1935 | 0.5567          | 0.3111 |
  | 0.2121        | 44.0  | 1980 | 0.5893          | 0.3039 |
  | 0.1913        | 45.0  | 2025 | 0.6030          | 0.3027 |
  | 0.1636        | 46.0  | 2070 | 0.5812          | 0.3004 |
  | 0.2062        | 47.0  | 2115 | 0.6081          | 0.3004 |
  | 0.2031        | 48.0  | 2160 | 0.5610          | 0.3159 |
  | 0.1892        | 49.0  | 2205 | 0.5863          | 0.3147 |
  | 0.1712        | 50.0  | 2250 | 0.5943          | 0.3159 |
  | 0.1886        | 51.0  | 2295 | 0.5953          | 0.3051 |
  | 0.1748        | 52.0  | 2340 | 0.5761          | 0.3087 |
  | 0.1705        | 53.0  | 2385 | 0.6045          | 0.2872 |
  | 0.1794        | 54.0  | 2430 | 0.5731          | 0.3075 |
  | 0.1815        | 55.0  | 2475 | 0.5949          | 0.2849 |
  | 0.1571        | 56.0  | 2520 | 0.5663          | 0.2884 |
  | 0.1902        | 57.0  | 2565 | 0.5903          | 0.2956 |
  | 0.2057        | 58.0  | 