Whisper_Old_People_Talk_check

This model is a fine-tuned version of openai/whisper-large-v3 on the Old_People_Talk_Dataset_Ko_Train dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1054
  • Cer: 7.3499

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: 100
  • training_steps: 600
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.3369 0.0221 100 0.2803 7.3760
0.1671 0.0443 200 0.1688 5.1938
0.1268 0.0664 300 0.1358 5.9881
0.1288 0.0885 400 0.1224 6.1016
0.0951 0.1107 500 0.1106 6.3809
0.1026 0.1328 600 0.1054 7.3499

Framework versions

  • Transformers 4.46.0.dev0
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.0
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