RuiJu2024/whisper-large-v3-1
17
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Whisper Large V3 Fine Tune 1
This model is a fine-tuned version of openai/whisper-large-v3 on the 20230516 dataset.
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
Framework versions
- Transformers 4.36.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2