readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  - whisper-event
  metrics:
  - wer
  model-index:
  - name: whisper-medium-et-ERR2020
    results:
    - task:
        type: automatic-speech-recognition
        name: Automatic Speech Recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0
        type: mozilla-foundation/common_voice_11_0
        config: et
        split: test
      metrics:
      - type: wer
        value: 20.05
        name: WER
  ---
  
  <!-- 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-et-ERR2020
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the following training sets: Common Voice 11, VoxPopuli, FLEURS and [ERR2020](http://bark.phon.ioc.ee/lw/korpused/ERR2020.html). The checkpoint-7000 was on [Whisper Event leaderboard](https://huggingface.co/spaces/whisper-event/winners?dataset=mozilla-foundation%2Fcommon_voice_11_0). Current score is for the final checkpoint. 
  
  ## 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: 32
  - eval_batch_size: 16
  - 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     |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.1828        | 0.1   | 1000  | 0.3547          | 20.8829 |
  | 0.09          | 0.2   | 2000  | 0.3476          | 19.0096 |
  | 0.083         | 0.3   | 3000  | 0.3386          | 18.1304 |
  | 0.0765        | 0.4   | 4000  | 0.3365          | 17.2591 |
  | 0.0592        | 0.5   | 5000  | 0.3534          | 19.0213 |
  | 0.0672        | 0.6   | 6000  | 0.3622          | 18.4263 |
  | 0.0629        | 0.7   | 7000  | 0.3487          | 15.9839 |
  | 0.0546        | 1.03  | 8000  | 0.3677          | 16.1021 |
  | 0.0459        | 1.13  | 9000  | 0.3704          | 17.9073 |
  | 0.0425        | 1.23  | 10000 | 0.3672          | 15.9119 |
  
  The validation set is combined from the validation sets of Common Voice 11, VoxPopuli, FLEURS and ERR2020.
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.12.1+rocm5.1.1h
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  