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Training Description

Our platform allows you to customize and describe your experiment by setting various parameters. All of the parameters below are supported for both TensorFlow and PyTorch. Here's a breakdown of these parameters and how to set them:

1. Experiment Name​

The experiment name is a mandatory parameter that sets the name of the experiment.

  • To set the name, use the following command in Python:
trainingObject.experimentName('ResNet - Tracebloc')

The experiment name is displayed in the highlighted section in the experiment view.

Name

2. Experiment Objective​

The experiment objective is an optional field that can be used to describe the purpose of the experiment.

  • You can set the objective either through the training plan:
trainingObject.objective("Test Resnet model on dataset")
  • Or you can set it directly in the experiment view, in the "Objective / Hypothesis" field, which is editable.

Objective

3. Model Name​

The model name is set automatically when the user uploads the model.

The model name is displayed in the highlighted section in the experiment view.

modelName

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