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
- 16
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for AlienKevin/whisper-large-v3-bisyllabic-jyutping
Base model
openai/whisper-large-v3