--- title: Reproducing Experiments --- Reproduce experiments on local or remote machines in one of the following ways: * Cloning any experiment - Make an exact copy, while maintaining the original experiment * Resetting an experiment whose status is not *Published* - Delete the previous run's logs and output After cloning or resetting, enqueue the reset or newly cloned experiment for execution by a worker. Experiments can also be modified and then executed remotely, see [Tuning Experiments](webapp_exp_tuning.md). ## Cloning To clone an experiment: 1. In the experiments table, right-click the experiment to reproduce and click **Clone**. 1. In the `Clone Experiment` modal, set the following: * Project - The project where the experiment will be saved * Description (optional) * Set `` as parent - Select to set this experiment as the new experiments' parent task 1. Click **Clone** :::note By default, the new experiment's parent task is set to the original task's parent, unless the original task does not have a parent, in which case the original task is set as the parent. Select `Set as parent` to force the original experiment to become the clone's parent. ::: ![Clone modal](../img/webapp_clone.png) ## Resetting To reset an experiment: 1. In the experiments table, right-click the relevant experiment and click **Reset**. 1. In the `Reset Experiment` modal, if you want the experiment's artifacts and debug samples to be deleted from the ClearML file server, click the checkbox 1. Click **Reset** ![Reset modal](../img/webapp_reset.png) ## Final Steps At the end of the process you are left with an experiment with draft status, meaning that it is editable. Re-execute the new experiment: 1. If desired, modify the experiment's configuration (see [Tuning Experiments](webapp_exp_tuning.md)). 1. Enqueue the experiment for execution. Right-click the experiment > Enqueue > Select a queue > **ENQUEUE**. :::note Make sure that a [ClearML Agent](../clearml_agent.md) has been assigned to the selected queue ::: A ClearML Agent will fetch the experiment from the queue and execute it. The experiment can now be tracked and its results visualized.