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@@ -24,7 +24,7 @@ And that's it! This creates a [ClearML Task](../fundamentals/task.md) which capt
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* Scalars (loss, learning rates)
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* Console output
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* General details such as machine details, runtime, creation date etc.
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* Hyperparameters created with standard python packages (such as argparse, click, Python Fire, etc.)
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* Hyperparameters created with standard Python packages (such as argparse, click, Python Fire, etc.)
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* And more
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You can view all the task details in the [WebApp](../webapp/webapp_exp_track_visual.md).
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@@ -70,7 +70,7 @@ To augment its automatic logging, ClearML also provides an explicit logging inte
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See more information about explicitly logging information to a ClearML Task:
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* [Models](../clearml_sdk/model_sdk.md#manually-logging-models)
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* [Configuration](../clearml_sdk/task_sdk.md#configuration) (e.g. parameters, configuration files)
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* [Artifacts](../clearml_sdk/task_sdk.md#artifacts) (e.g. output files or python objects created by a task)
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* [Artifacts](../clearml_sdk/task_sdk.md#artifacts) (e.g. output files or Python objects created by a task)
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* [Scalars](../clearml_sdk/task_sdk.md#scalars)
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* [Text/Plots/Debug Samples](../fundamentals/logger.md#manual-reporting)
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