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Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
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Jinho11
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metadata
language:
  - ko
license: apache-2.0
base_model: openai/whisper-base
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - Jinho11/jinho_data_2023-11-19
model-index:
  - name: Kim_Sohn_Whisper
    results: []

Kim_Sohn_Whisper

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

  • Loss: 0.6363
  • Cer: 15.4890

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
0.3344 2.43 1000 0.5535 19.6948
0.1546 4.85 2000 0.5602 16.2194
0.0505 7.28 3000 0.6095 15.7197
0.0266 9.71 4000 0.6363 15.4890

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0