Whisper Tiny Jyutping without Tones Full Version
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1820
- eval_wer: 19.9145
- eval_runtime: 400.8299
- eval_samples_per_second: 6.387
- eval_steps_per_second: 0.399
- epoch: 0.18
- step: 800
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
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- training_steps: 2400
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
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