salmon-whisper-large-smj-lr5e-5

This model is a fine-tuned version of openai/whisper-large-v2 on the NbAiLab/salmon-asr-smj dataset.

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: 5e-05
  • lr_scheduler_type: linear
  • per_device_train_batch_size: 6
  • total_train_batch_size_per_node: 48
  • total_train_batch_size: 48
  • total_optimization_steps: 100,000
  • starting_optimization_step: None
  • finishing_optimization_step: 100,000
  • num_train_dataset_workers: 32
  • num_hosts: 1
  • total_num_training_examples: 4,800,000
  • steps_per_epoch: 385
  • num_beams: None
  • weight_decay: 0.01
  • adam_beta1: 0.9
  • adam_beta2: 0.98
  • adam_epsilon: 1e-06
  • dropout: True
  • bpe_dropout_probability: 0.2
  • activation_dropout_probability: 0.1

Training results

step validation_loss train_loss validation_wer validation_cer validation_exact_wer validation_exact_cer
0 4.2254 4.6413 112.7660 59.8700 108.1117 62.0594
10000 0.8720 0.3747 18.2181 5.2803 21.4096 5.6762
20000 1.1365 0.2741 15.2926 4.6304 18.0851 5.0588
30000 1.2561 0.2111 14.6277 4.0617 17.9521 4.5011

Framework versions

  • Transformers 4.35.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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