readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: whisper-medium-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-medium-toi
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.8215
  - Wer: 59.6163
  
  ## 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: 4000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.4727        | 1.47  | 500  | 2.0656          | 70.8002 |
  | 0.2033        | 2.95  | 1000 | 2.0971          | 67.6416 |
  | 0.0658        | 4.42  | 1500 | 2.3894          | 62.0262 |
  | 0.0281        | 5.9   | 2000 | 2.5443          | 62.2134 |
  | 0.0104        | 7.37  | 2500 | 2.6873          | 61.8390 |
  | 0.0046        | 8.85  | 3000 | 2.7252          | 60.6458 |
  | 0.0004        | 10.32 | 3500 | 2.7891          | 60.8563 |
  | 0.0003        | 11.8  | 4000 | 2.8215          | 59.6163 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  