metadata

language:
  - ko
license: apache-2.0
base_model: openai/whisper-base
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - INo0121/low_quality_call_voice
model-index:
  - name: Whisper Small for Korean Low quaiity Call Voices
    results: []

Whisper Small for Korean Low quaiity Call Voices

This model is a fine-tuned version of openai/whisper-small on the Korean Low Quaiity Call Voices dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4011
eval_cer: 18.5520
eval_samples_per_second: 1.119

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: 8000

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0