whisper-tiny-gl / README.md
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metadata
language:
  - gl
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_13_0
metrics:
  - wer
model-index:
  - name: Whisper Tiny Galician
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_13_0 gl
          type: mozilla-foundation/common_voice_13_0
          config: gl
          split: test
          args: gl
        metrics:
          - name: Wer
            type: wer
            value: 26.35037251655629

Whisper Tiny Galician

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_13_0 gl dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5832
  • Wer: 26.3504

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: 3.75e-05
  • train_batch_size: 256
  • eval_batch_size: 128
  • 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

Training results

Training Loss Epoch Step Validation Loss Wer
0.0062 19.01 1000 0.5832 26.3504
0.0012 39.01 2000 0.6527 26.7177
0.0006 59.01 3000 0.6950 27.4352
0.0004 79.01 4000 0.7260 28.4044
0.0003 99.01 5000 0.7315 28.1905

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3