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metadata
language:
  - ko
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - haseong8012/child-50k
model-index:
  - name: whisper-tiny_child-50k
    results: []
metrics:
  - wer
  - cer

whisper-tiny_child-50k

This model is a fine-tuned version of openai/whisper-tiny on the haseong8012/child-50k dataset.

  • Loss: 0.02219698205590248
  • Wer: 2.756892230576441
  • Cer: 1.3984210978649216

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: 3.75e-05
  • train_batch_size: 32
  • eval_batch_size: 16
  • 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

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.1.0+cu121
  • Datasets 2.14.5
  • Tokenizers 0.14.1