readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: whisper-small-toi
    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-toi
  
  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: 3.1668
  - Wer: 63.5938
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - training_steps: 10000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer     |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.568         | 1.47  | 500   | 2.1883          | 72.0402 |
  | 0.2614        | 2.95  | 1000  | 2.1071          | 67.1034 |
  | 0.0811        | 4.42  | 1500  | 2.3456          | 67.5012 |
  | 0.0383        | 5.9   | 2000  | 2.4961          | 67.9691 |
  | 0.021         | 7.37  | 2500  | 2.6259          | 68.8348 |
  | 0.0077        | 8.85  | 3000  | 2.6423          | 66.6823 |
  | 0.0046        | 10.32 | 3500  | 2.8497          | 65.9336 |
  | 0.0005        | 11.8  | 4000  | 2.8305          | 64.6467 |
  | 0.0014        | 13.27 | 4500  | 2.9174          | 66.0739 |
  | 0.0003        | 14.75 | 5000  | 2.9358          | 63.2663 |
  | 0.0002        | 16.22 | 5500  | 2.9820          | 63.8278 |
  | 0.0002        | 17.7  | 6000  | 3.0369          | 64.7403 |
  | 0.0001        | 19.17 | 6500  | 3.0641          | 63.3832 |
  | 0.0005        | 20.65 | 7000  | 3.0512          | 63.1493 |
  | 0.0001        | 22.12 | 7500  | 3.0924          | 63.5002 |
  | 0.0001        | 23.6  | 8000  | 3.1215          | 65.0679 |
  | 0.0001        | 25.07 | 8500  | 3.1336          | 64.6233 |
  | 0.0001        | 26.55 | 9000  | 3.1513          | 63.7108 |
  | 0.0001        | 28.02 | 9500  | 3.1620          | 63.5938 |
  | 0.0001        | 29.5  | 10000 | 3.1668          | 63.5938 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  