octava/whisper-small-indonesian-disaster
054
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Whisper Small 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: 0.2947
- Wer: 11.3990
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: 32
- evalbatchsize: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 10000
Training results
Framework versions
- Transformers 4.45.0
- Pytorch 2.8.0+cu129
- Datasets 3.0.1
- Tokenizers 0.20.0
