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jeju_stt_v2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
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jeju_stt_v2 / README.md
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metadata
language:
  - ko
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
base_model: openai/whisper-base
datasets:
  - rlaorrn/working
model-index:
  - name: jeju_stt
    results: []

jeju_stt

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

  • Loss: 0.3820
  • Cer: 12.0409

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
0.3689 2.0 1000 0.3853 13.4054
0.1884 4.0 2000 0.3488 11.9817
0.1059 6.0 3000 0.3607 11.9350
0.0634 8.0 4000 0.3820 12.0409

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.19.1