[D] Unimpressive improvement in training speed after upgrading from GTX 980 Ti to RTX 4090

• table-transformer

  9 1,810 6.1 Python

  Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

  

Hey, I upgraded my GPU from a GTX 980 Ti from 2015 to the RTX 4090 and tested some training to see what gains I got. I am training microsoft/table-transformer for structure recognition on a dataset of around 1M images/annotations with the training configuration used by the authors. Notably the batch_size is only 2. I tested out a few configurations with different batch sizes and got these results:

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