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whisper-tiny-khmer

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2487
  • Wer: 1.3242

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: 6.25e-06
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 80
  • training_steps: 800

Training results

Training Loss Epoch Step Validation Loss Wer
1.4242 0.51 200 1.4528 1.1595
1.2641 1.01 400 1.3215 1.3512
1.1987 1.52 600 1.2649 1.2247
1.1687 2.03 800 1.2487 1.3242

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6.dev0
  • Tokenizers 0.14.1
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