salmon-whisper-medium-smj

• step: 9999
• validation_loss: 1.4491
• train_loss: 0.2105
• validation_wer: 15.6915
• validation_cer: 4.6710
• validation_exact_wer: 18.0851
• validation_exact_cer: 4.9990

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2.5e-05
• lr_scheduler_type: linear
• per_device_train_batch_size: 8
• total_train_batch_size_per_node: 64
• total_train_batch_size: 64
• total_optimization_steps: 10,000
• starting_optimization_step: None
• finishing_optimization_step: 10,000
• num_train_dataset_workers: 32
• num_hosts: 1
• total_num_training_examples: 640,000
• steps_per_epoch: 287
• 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

Framework versions

• Transformers 4.35.0.dev0
• Datasets 2.14.6
• Tokenizers 0.14.1