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whisper-base-gl

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Galician
whisper
whisper-event
Generated from Trainer
Eval Results
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whisper-base-gl / README.md
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metadata
language:
  - gl
license: apache-2.0
base_model: openai/whisper-base
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_13_0
metrics:
  - wer
model-index:
  - name: Whisper Base 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: 17.290976821192054

Whisper Base Galician

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

  • Loss: 0.4360
  • Wer: 17.2910

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: 2.5e-05
  • train_batch_size: 128
  • eval_batch_size: 64
  • 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
0.372 10.0 1000 0.4173 21.0023
0.1352 20.0 2000 0.3982 18.3620
0.0638 30.0 3000 0.4175 17.8842
0.0371 40.0 4000 0.4310 17.4721
0.0279 50.0 5000 0.4360 17.2910

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1