alex-miller/whisper-small-np

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Whisper Small Nepali Finetune - Devinit

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7953
• —Wer Ortho: 67.0236
• —Wer: 34.2593

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constantwithwarmup
• —lrschedulerwarmup_steps: 50
• —training_steps: 500

Training results

Framework versions

• —Transformers 4.34.0
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.5
• —Tokenizers 0.14.1