whisper-tiny-it / README.md
mattiasu96's picture
update model card README.md
7fa131d
metadata
language:
  - it
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper tiny italian - Mattia Surricchio
    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: 26.495056347012547

Whisper tiny italian - Mattia Surricchio

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 it dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4736
  • Wer: 26.4951

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: 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
0.3889 0.2 1000 0.6844 39.1000
0.5832 0.4 2000 0.5691 31.9995
0.524 0.6 3000 0.4993 28.2672
0.4663 0.8 4000 0.4799 26.7230
0.3107 1.05 5000 0.4736 26.4951

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2