test

This model is a fine-tuned version of openai/whisper-base on the Voice data of foreigners speaking Korean for AI learning dataset. It achieves the following results on the evaluation set:

  • Loss: 4.5779
  • Cer: 109.5803

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: 16
  • eval_batch_size: 8
  • 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: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.6116 18.87 1000 3.5567 125.3727
0.014 37.74 2000 4.2442 100.9801
0.0027 56.6 3000 4.5135 104.3898
0.0019 75.47 4000 4.5779 109.5803

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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