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Whisper Large Khmer - Kak Soky

This model is a fine-tuned version of openai/whisper-large on the SLR42 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2375
  • Wer: 29.5183

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • 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 Wer
0.0102 12.34 1000 0.2228 38.2659
0.0003 24.69 2000 0.2260 30.7900
0.0001 37.04 3000 0.2310 30.0578
0.0 49.38 4000 0.2375 29.5183

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.9.1+cu111
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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Dataset used to train ksoky/whisper-large-khmer-asr

Evaluation results