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README.md
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---
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language:
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- vi
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license: apache-2.0
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framework_name: NeMo
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base_model: Conformer-CTC
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Conformer_CTC_vi
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This model is a training version of Conformer-CTC model on the VinBigdata dataset.
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It achieves the following results on the evaluation set:
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## Training and evaluation data
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-Training loss:
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e22d27eb434eea640655d7/6ctQwCWuW5yQ6DGFdGQdR.png)
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- WER = 0.094
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e22d27eb434eea640655d7/VBpAtNZcJDftOPH7o6q-1.png)
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5.0
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- train_batch_size: 32
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- eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: NoamAnnealing
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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 500
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