salmon-whisper-large-smj-lr7e-5-test1

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salmon-whisper-large-smj-lr7e-5-test1

This model is a fine-tuned version of openai/whisper-large-v2 on the NbAiLab/salmon-asr-smj dataset. It achieves the following results on the evaluation set:

• step: 999
• validation_loss: 0.9447
• train_loss: 0.3067
• validation_wer: 21.6755
• validation_cer: 5.6661
• validation_exact_wer: 25.0
• validation_exact_cer: 6.1940

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: 7e-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: 1,000
• starting_optimization_step: None
• finishing_optimization_step: 1,000
• num_train_dataset_workers: 32
• num_hosts: 1
• total_num_training_examples: 48,000
• 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

Framework versions

• Transformers 4.34.1
• Datasets 2.15.0
• Tokenizers 0.14.0