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fleurstest

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

test

This model is a fine-tuned version of openai/whisper-base on the whisper_fleurs_ver1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5203
  • Cer: 10.9470

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
0.0347 6.29 1000 0.4469 10.9426
0.0046 12.58 2000 0.4908 10.8907
0.0025 18.87 3000 0.5122 10.9946
0.0019 25.16 4000 0.5203 10.9470

Framework versions

  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0