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JacobLinCool/whisper-large-v3-common_voice_19_0-zh-TW-full-1

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.05.6 GBsafetensors✓ 8 checksumsupdated today
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whisper-large-v3-common_voice_19_0-zh-TW-full-1

It seems that this training has failed. Please use whisper-large-v3-turbo-common_voice_19_0-zh-TW instead.

This model is a fine-tuned version of openai/whisper-large-v3 on the JacobLinCool/common_voice_19_0_zh-TW dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1502
  • eval_wer: 253.4012
  • eval_cer: 234.4286
  • eval_decode_runtime: 107.4219
  • eval_wer_runtime: 0.1395
  • eval_cer_runtime: 0.2215
  • eval_runtime: 352.6335
  • eval_samples_per_second: 14.216
  • eval_steps_per_second: 0.445
  • epoch: 2.1825
  • step: 4000

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 5000

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.1
  • Pytorch 2.4.0
  • Datasets 3.0.2
  • Tokenizers 0.20.1