# Creating an experiment

***Step by Step walk through of model playground experiments.***

After creating the splits, the user can now run experiments. By clicking a split, the user is able to create an experiment.

In the experiment, the user is able to specify the name of the experiment and has the option to use the Hasty template for their model.

**On choosing the hasty template, the architectures, its parameter values, loss metrics, and all other features of a model will be automatically set for that specific machine learning task. For example for instance segmentation task, the Basic Instance Segmentor template would be used.**

**If the users want to design their own model with the provided architectures, solvers, optimizers, loss metrics, etc., then that is also possible by not using the template.**

To learn more about the different aspects of the model:

| Model Aspects       | Resource                                                                                             |
| ------------------- | ---------------------------------------------------------------------------------------------------- |
| Architecture        | [architectures](https://hasty.ai/docs/mp-wiki/model-architectures/resnet)                            |
| Augmentations       | [augmentations](https://hasty.ai/docs/mp-wiki/augmentations/horizontal-flip)                         |
| Scheduler           | [schedulers](https://hasty.ai/docs/mp-wiki/scheduler/warm-up)                                        |
| Loss metrics        | [loss](https://hasty.ai/docs/mp-wiki/loss/cross-entropy-loss)                                        |
| Solver              | [solvers](https://hasty.ai/docs/mp-wiki/solvers-optimizers/epsilon-cooefficient)                     |
| Training Parameters | [training-parameters](https://hasty.ai/docs/mp-wiki/scheduler/training-parameters/patience#patience) |
| Other Metrics       | [metrics](https://hasty.ai/docs/mp-wiki/metrics/confusion-matrix)                                    |

Here, the user can find a detailed explanation of all the model parameters provided by hasty.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.cloudfactory.com/model-playground/creating-an-experiment.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.