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Whisper Tiny Hakka Webcam

This model is a fine-tuned version of openai/whisper-tiny on the HAT ASR Aligned dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0706
  • Cer: 3.8803

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: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1521
  • training_steps: 15210
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.3507 0.9993 1521 0.3448 18.5531
0.1263 1.9987 3042 0.1418 7.4508
0.0781 2.9980 4563 0.1043 5.2685
0.0547 3.9974 6084 0.0880 5.2373
0.0369 4.9967 7605 0.0800 4.4617
0.0247 5.9961 9126 0.0752 4.1670
0.0196 6.9954 10647 0.0721 4.0884
0.014 7.9947 12168 0.0707 3.6676
0.0103 8.9941 13689 0.0706 3.6757
0.0086 9.9934 15210 0.0706 3.8803

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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