tf.estimator.experimental.stop_if_no_increase_hook
| View source on GitHub |
Creates hook to stop if metric does not increase within given max steps.
tf.estimator.experimental.stop_if_no_increase_hook(
estimator, metric_name, max_steps_without_increase, eval_dir=None, min_steps=0,
run_every_secs=60, run_every_steps=None
)
Usage example:
estimator = ... # Hook to stop training if accuracy does not increase in over 100000 steps. hook = early_stopping.stop_if_no_increase_hook(estimator, "accuracy", 100000) train_spec = tf.estimator.TrainSpec(..., hooks=[hook]) tf.estimator.train_and_evaluate(estimator, train_spec, ...)
Caveat: Current implementation supports early-stopping both training and evaluation in local mode. In distributed mode, training can be stopped but evaluation (where it's a separate job) will indefinitely wait for new model checkpoints to evaluate, so you will need other means to detect and stop it. Early-stopping evaluation in distributed mode requires changes in train_and_evaluate API and will be addressed in a future revision.
| Args | |
|---|---|
estimator | A tf.estimator.Estimator instance. |
metric_name | str, metric to track. "loss", "accuracy", etc. |
max_steps_without_increase | int, maximum number of training steps with no increase in the given metric. |
eval_dir | If set, directory containing summary files with eval metrics. By default, estimator.eval_dir() will be used. |
min_steps | int, stop is never requested if global step is less than this value. Defaults to 0. |
run_every_secs | If specified, calls should_stop_fn at an interval of run_every_secs seconds. Defaults to 60 seconds. Either this or run_every_steps must be set. |
run_every_steps | If specified, calls should_stop_fn every run_every_steps steps. Either this or run_every_secs must be set. |
| Returns | |
|---|---|
An early-stopping hook of type SessionRunHook that periodically checks if the given metric shows no increase over given maximum number of training steps, and initiates early stopping if true. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/estimator/experimental/stop_if_no_increase_hook
