Comet integration (#1939)
* Add first version of a Comet integration * Remove debug prints * Add test for Comet Configuration transformation to env variables * Fix last lint warning * Update Readme for Comet logging documentation * Update Comet integration to be optional, update code and tests * Add documentation for Comet configuration * Add missing check
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@@ -267,6 +267,18 @@ mlflow_tracking_uri: # URI to mlflow
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mlflow_experiment_name: # Your experiment name
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hf_mlflow_log_artifacts: # set to true to copy each saved checkpoint on each save to mlflow artifact registry
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# Comet configuration if you're using it
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# Make sure your `COMET_API_KEY` environment variable is set (recommended) or you login to Comet with `comet login`.
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# Check out our documentation for more details https://www.comet.com/docs/v2/api-and-sdk/python-sdk/reference/Experiment-Creation/#comet_ml.start
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use_comet: # Enable or disable Comet integration.
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comet_api_key: # API key for Comet. Recommended to set via `comet login`.
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comet_workspace: # Workspace name in Comet. Defaults to the user's default workspace.
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comet_project_name: # Project name in Comet. Defaults to Uncategorized.
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comet_experiment_key: # Identifier for the experiment. Used to append data to an existing experiment or control the key of new experiments. Default to a random key.
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comet_mode: # Create a new experiment ("create") or log to an existing one ("get"). Default ("get_or_create") auto-selects based on configuration.
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comet_online: # Set to True to log data to Comet server, or False for offline storage. Default is True.
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comet_experiment_config: # Dictionary for additional configuration settings, see the doc for more details.
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# Where to save the full-finetuned model to
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output_dir: ./completed-model
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