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whisper-ko-model

Automatic Speech Recognition
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whisper
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metadata
base_model: openai/whisper-base
datasets:
  - bn126/whisper_ko
language:
  - ko
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
model-index:
  - name: whisper-ko-model
    results: []

whisper-ko-model

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

  • Loss: 0.8175
  • Cer: 17.5834

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: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.0006 10.0 1000 0.8175 17.5834

Framework versions

  • Transformers 4.43.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1