Instructions to use Namkoy/Conformer_CTC_Vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Namkoy/Conformer_CTC_Vi with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Conformer_CTC_vi
This model is a training version of Conformer-CTC model on the VinBigdata dataset. It achieves the following results on the evaluation set:
Training and evaluation data
-Training loss:
- WER = 0.094
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.0
- train_batch_size: 32
- eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: NoamAnnealing
- lr_scheduler_warmup_steps: 10000
- num_epochs: 500
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