Whisper large-v3 Bisyllabic Jyutping
This model is a fine-tuned version of openai/whisper-large-v3 on the AlienKevin/cantone dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2668
- eval_wer: 31.7361
- eval_runtime: 1403.0426
- eval_samples_per_second: 0.513
- eval_steps_per_second: 0.032
- epoch: 0.04
- step: 400
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 4.38.0.dev0
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.15.1
- Downloads last month
- 0