kiriku/whisper-tiny-en-homophone
03
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Homophonesfilteddataset Whisper tiny en
This model is a fine-tuned version of openai/whisper-small on the Homophones in Common Voice 15.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5094
- Wer: 41.6857
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 4000
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0