octava/whisper-small-indonesian-disaster-secondary

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Whisper Medium Indonesian for Disaster Response

This model is a fine-tuned version of openai/whisper-small on the Indonesian Speech Dataset (InaVoCript, Fleurs, OpenSLR Javanese) dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1027
• —Wer: 26.5584

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: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 5000

Training results

Framework versions

• —Transformers 4.45.0
• —Pytorch 2.8.0+cu129
• —Datasets 3.0.1
• —Tokenizers 0.20.0