facebookresearch / facebookresearch/CodeGen
Ablation on data size
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Hi, appreciate the amazing work in unsupervised code translation!
I wonder if you have done ablation study on the training data size of TransCoder? Since the unsupervised model needs way much more training data (over 500M functions for 3 languages ) than the existing code PLMs, like CodeT5 (8.35M for 7 languages).
How's the performance of Transcoder if less data provided?
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