readme: ---
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: whisper-small-et-ERR2020
    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-et-ERR2020
  
  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: 0.5321
  - Wer: 22.8462
  
  ## 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: 64
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - training_steps: 10000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer     |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.3387        | 0.1   | 1000  | 0.5383          | 33.8216 |
  | 0.1393        | 0.2   | 2000  | 0.4897          | 27.7546 |
  | 0.0982        | 0.3   | 3000  | 0.5477          | 26.7815 |
  | 0.0912        | 1.02  | 4000  | 0.5195          | 24.8816 |
  | 0.0811        | 1.12  | 5000  | 0.5373          | 25.9282 |
  | 0.0649        | 1.22  | 6000  | 0.5422          | 23.7285 |
  | 0.0618        | 1.32  | 7000  | 0.5504          | 23.5179 |
  | 0.0558        | 2.03  | 8000  | 0.5321          | 22.8462 |
  | 0.0452        | 2.13  | 9000  | 0.5543          | 23.5813 |
  | 0.0462        | 2.23  | 10000 | 0.5424          | 22.8830 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.12.1+rocm5.1.1
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  