readme: ---
  language:
  - ja
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: whisper-small-ja
    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. -->
  
  # whisper-small-ja
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3967
  - Wer: 18.3755
  
  ## 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-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 5
  - training_steps: 200
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer      |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 0.3   | 10   | 1.1627          | 26.0985  |
  | No log        | 0.61  | 20   | 0.7416          | 900.3995 |
  | 1.2431        | 0.91  | 30   | 0.6344          | 60.3196  |
  | 1.2431        | 1.21  | 40   | 0.5944          | 20.2397  |
  | 0.5462        | 1.52  | 50   | 0.5341          | 19.3076  |
  | 0.5462        | 1.82  | 60   | 0.4953          | 18.5087  |
  | 0.5462        | 2.12  | 70   | 0.4715          | 19.9734  |
  | 0.3259        | 2.42  | 80   | 0.4469          | 18.2423  |
  | 0.3259        | 2.73  | 90   | 0.4246          | 19.7071  |
  | 0.1986        | 3.03  | 100  | 0.4076          | 19.0413  |
  | 0.1986        | 3.33  | 110  | 0.3949          | 17.7097  |
  | 0.1986        | 3.64  | 120  | 0.4008          | 20.5060  |
  | 0.1101        | 3.94  | 130  | 0.3892          | 18.3755  |
  | 0.1101        | 4.24  | 140  | 0.3873          | 18.3755  |
  | 0.0695        | 4.55  | 150  | 0.3930          | 19.7071  |
  | 0.0695        | 4.85  | 160  | 0.3857          | 18.1092  |
  | 0.0695        | 5.15  | 170  | 0.3861          | 19.0413  |
  | 0.0467        | 5.45  | 180  | 0.3913          | 18.5087  |
  | 0.0467        | 5.76  | 190  | 0.3963          | 18.7750  |
  | 0.0346        | 6.06  | 200  | 0.3967          | 18.3755  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cpu
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  