ntnu-smil/whisper-large-v3-turbo-augmented-merged

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whisper-large-v3-turbo-augmented

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the ntnu-smil/lttc-augmented-ft-1 dataset. It achieves the following results on the evaluation set:

• —Loss: 1.3566
• —Wer: 32.3600
• —Cer: 18.4747

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: 0.0005
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.47.0
• —Pytorch 2.2.0+cu121
• —Datasets 3.1.0
• —Tokenizers 0.21.0