---
language:
- vi
license: apache-2.0
framework_name: NeMo
base_model: Conformer-CTC

---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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:

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e22d27eb434eea640655d7/6ctQwCWuW5yQ6DGFdGQdR.png)

- WER = 0.094

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e22d27eb434eea640655d7/VBpAtNZcJDftOPH7o6q-1.png)


### 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