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Automatic Speech Recognition
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whisper
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metadata
language:
  - ko
license: apache-2.0
base_model: openai/whisper-base
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - rlaorrn/working
model-index:
  - name: jeju_stt
    results: []

jeju_stt

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

  • Loss: 0.3821
  • Cer: 11.9723

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
0.3689 2.0 1000 0.3850 13.3992
0.1887 4.0 2000 0.3482 11.9225
0.1057 6.0 3000 0.3603 11.8446
0.0637 8.0 4000 0.3821 11.9723

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.19.1