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metadata
language:
  - ko
license: apache-2.0
base_model: openai/whisper-base
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - https://huggingface.co/datasets/aoome123/myvoice
model-index:
  - name: whisper-base
    results: []

whisper-base

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

  • Loss: 1.7777
  • Cer: 76.7642

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

Training results

Training Loss Epoch Step Validation Loss Cer
0.0213 33.33 1000 1.6048 76.5921
0.0095 66.67 2000 1.6987 78.4854
0.0112 100.0 3000 1.7452 77.2806
0.007 133.33 4000 1.7777 76.7642

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1