openai/large_v2_nan_tw_so_short_30s

This model is a fine-tuned version of openai/whisper-large-v2 on the thomas0104/nan_tw_soap_opera nan-tw dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3322
  • Wer: 343.5629
  • Cer: 63.42

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
1.1133 1.0 1000 1.3322 343.5629 416.4573

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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Dataset used to train thomas0104/large_v2_nan_tw_so_short_30s

Evaluation results