readme: ---
  language:
    - it
  license: apache-2.0
  tags:
  - generated_from_trainer
  - whisper-event
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: luigisaetta/whisper-tiny2-it
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0 it
        type: mozilla-foundation/common_voice_11_0
        config: it
        split: test
        args: it
      metrics:
      - name: Wer
        type: wer
        value: 25.91098766744631
  ---
  
  
  # luigisaetta/whisper-tiny2-it
  
  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_11_0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4686
  - Wer: 25.9110
  
  ## 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: 500
  - training_steps: 5000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.5765        | 2.01  | 1000 | 0.5728          | 32.2181 |
  | 0.3726        | 4.02  | 2000 | 0.5035          | 28.4606 |
  | 0.2789        | 6.04  | 3000 | 0.4861          | 26.7894 |
  | 0.2996        | 8.05  | 4000 | 0.4694          | 26.0279 |
  | 0.2925        | 10.06 | 5000 | 0.4686          | 25.9110 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  