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lab9_whisper-tiny-zh-tw

This model is a fine-tuned version of Wellyowo/whisper-tiny-zh-tw on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6336
  • Wer Ortho: 64.0
  • Wer: 62.1359

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.0088 0.6882 500 0.5502 60.0 61.1650
0.0051 1.3765 1000 0.5735 65.0 64.0777
0.0068 2.0647 1500 0.5820 63.0 63.1068
0.0021 2.7529 2000 0.5955 62.0 61.1650
0.0039 3.4412 2500 0.5858 62.0 61.1650
0.0018 4.1294 3000 0.5981 63.0 61.1650
0.0019 4.8176 3500 0.6322 63.0 61.1650
0.0102 5.5058 4000 0.6336 64.0 62.1359

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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Evaluation results