Can I use a Callback tracker to "train until a certain metric's value is reached"?

Part 1 (2019)
1

Hi everyone,

I was looking at Fastai score in Cifar10 on DawnBench (https://dawn.cs.stanford.edu/benchmark/#cifar10) where the condition to win the “Training Time” category is : Time taken to train an image classification model to a test accuracy of 94% or greater on CIFAR10.

I’d like to reproduce the test using different GPUS and ResNet versions, as to benchmark the combos’ minimal time to reach 94%.

Is there a way to use a Callback in learn.fit_one_cycle() so that it keeps training "up to 1000 epochs until it achieves accuracy > 0.94 " ?

I tried EarlyStoppingCallback but this detects when the metric stops improving, not when it reaches a specific value.

Or maybe it doesn’t make sense ?