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JacobLinCool/whisper-large-v3-tw-lora

🤗 Hugging Face sourceapache-2.0441 MBsafetensors✓ 4 checksumsupdated today
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Whisper Large v3 zh-TW - Chinese

This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1537

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: 0.001
  • train_batch_size: 8
  • 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: 50
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.198 1.0 1507 0.1869
0.0817 2.0 3014 0.1605
0.021 3.0 4521 0.1537

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.1.0.post301
  • Datasets 2.16.1
  • Tokenizers 0.15.0