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latest imagenet speedrun #84

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Description

Addition of LAMB optimizer, CutMix & Mixup, BCE loss, and label smoothing.

Model details

ResNet50 x ImageNet

Steps to reproduce any training

Global batch size of 2,160. Trained on 12 nodes. Learning rate 0.008. Trained for 300 epochs.

Training results

A gist of logs, a link to tensorboard etc if relevant.

Things done

General:

  • Linting: black

If adding a demo model training script:

  • Atomic saving - saving is done atomically to avoid corruption
  • Checkpointing - model can successfully save a checkpoint and resume.
  • Completed a full run

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