hipstor/whisper-tiny-dv
06
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Whisper tuny Dv - hipstor
This model is a fine-tuned version of openai/whisper-tiny on the alakxender/dhivehi-audio-kn dataset. It achieves the following results on the evaluation set:
- Loss: 0.9464
- Wer Ortho: 125.5444
- Wer: 79.5839
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: 4
- evalbatchsize: 16
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: constantwithwarmup
- lrschedulerwarmup_steps: 50
- training_steps: 500
Training results
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2