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Label smoothed Aggregation cross entropy loss for generalisation in sequence to sequence tasks.

License: MIT License

Python 100.00%
aggregation-cross-entropy label-smoothing generalisation pytorch

ls-aceloss's Introduction

Applied Machine Learning Engineer

Love building products that solve problems.

  • 🌱 I’m currently learning Reinforcement Learning

Connect with me:

vigi99 arjun.variar

Languages and Tools:

aws cassandra cplusplus docker grafana hive kibana kubernetes postgresql python pytorch redis rust

 viig99 viig99

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alwc xiaohuihuichao zhaoxueyu

ls-aceloss's Issues

accuracy about LS-ACELoss

I use the original ACELoss to train CRNN based on synth90k dataset, but can not converage. I wonder if LS-ACELoss been used in such training as I mention? And what is the accuracy

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