# Logging

These are the configurations for tracking our fine tuning experiments.

<table data-header-hidden><thead><tr><th width="233"></th><th></th></tr></thead><tbody><tr><td><mark style="color:blue;"><strong>Class</strong></mark></td><td><mark style="color:blue;"><strong>Description</strong></mark> </td></tr><tr><td><strong>wandb_project</strong></td><td>Specifies the name of the project in Weights &#x26; Biases (WandB) for experiment tracking. </td></tr><tr><td><strong>wandb_entity</strong></td><td>Specifies the entity (user or organisation) in WandB under which the project will be created. </td></tr><tr><td><strong>wandb_watch</strong></td><td>A flag indicating whether to watch and log the model's progress in WandB. If set to "true," it means the experiment's progress and model performance will be actively monitored and logged in WandB.</td></tr><tr><td><strong>wandb_run_id</strong></td><td>Specifies a unique ID for the WandB run associated with this experiment. </td></tr><tr><td><strong>wandb_log_model</strong></td><td>A flag indicating whether to log the model to WandB. If set to "true," it suggests that the trained model's weights and configurations will be logged to WandB as part of the experiment's output.</td></tr></tbody></table>


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