flair.trainers.plugins.MetricHistoryPlugin

class flair.trainers.plugins.MetricHistoryPlugin(metrics_to_collect={('dev', 'loss'): 'dev_loss_history', ('dev', 'score'): 'dev_score_history', ('train', 'loss'): 'train_loss_history'})View on GitHub

Bases: TrainerPlugin

__init__(metrics_to_collect={('dev', 'loss'): 'dev_loss_history', ('dev', 'score'): 'dev_score_history', ('train', 'loss'): 'train_loss_history'})View on GitHub

Initialize the base plugin.

Methods

__init__([metrics_to_collect])	Initialize the base plugin.
after_training(**kw)	Returns metric history.
attach_to(pluggable)	Attach this plugin to a Pluggable.
detach()	Detach a plugin from the Pluggable it is attached to.
get_state()
hook([first_arg])	Convience function for BasePlugin.mark_func_as_hook).
mark_func_as_hook(func, *events)	Mark method as a hook triggered by the Pluggable.
metric_recorded(record)

Attributes

attach_to_all_processes	If set, the plugin will be attached to all processes when distributed, not just the main process.
corpus
model
pluggable
trainer

metric_recorded(record)View on GitHub

after_training(**kw)View on GitHub

Returns metric history.

property attach_to_all_processes: bool

If set, the plugin will be attached to all processes when distributed, not just the main process.

get_state()View on GitHub

Return type:

dict[str, Any]