> ## Documentation Index > Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt > Use this file to discover all available pages before exploring further. # Experiments Yes. To overwrite the run name with the run ID, use the following code snippet: For example, I want to log training accuracy per batch and validation accuracy per epoch. Yes, log indices like batch an ... If training occurs on an offline machine, use the following steps to upload results to the servers: 1. Set the environme ... Yes, W\&B uses the multiprocessing library. An error message like the following indicates a possible issue: To resolve th ... "Is the logging function lazy? I don't want to depend on the network to send results to your servers while executing loc ... Pass a SHA or unique identifier to wandb.Run.config.update(...) to associate a dataset with a training run. W\&B stores n ... The history object tracks metrics logged with wandb.log. Access the history object using the API: Expand the image panel and use the step slider to navigate through images from different steps. This process facilitates ... At the beginning of the training script, call wandb.init with an experiment name. For example: wandb.init(name="my\_aweso ... WANDB\_DIR= or wandb.init(dir= ): Controls the location of the wandb folder created for your training script. Defaults to ... The / character separates logged panels in the W\&B UI. By default, the segment of the logged item's name before the / de ... When wandb.init is invoked, the system automatically collects git information, including the remote repository link and ... The Files tab shows a maximum of 10,000 files. To download all files, use the public API: If a training program uses multiple processes, structure the program to avoid making wandb method calls from processes w ... Direct integration of Plotly or Bokeh figures into tables is not supported. Instead, export the figures to HTML and incl ... If you receive an HTTP 429 Rate limit exceeded error when calling wandb.log(), you are exceeding the rate limit quota fo ... Call a run object's .save() method to save the current run. Retrieve the name using the run object's name attribute. Finish previous runs before starting new runs to log multiple runs within a single script. The recommended way to do thi ... These examples show logging losses a couple of different ways using wandb.Run.log(). For more, see the documentation on ... Create a multi-line custom chart with wandb.plot.line\_series(). Navigate to the project page to view the line chart. To ... The .name attribute of a wandb.Run is accessible as follows: If a run is not explicitly named, W\&B assigns a random name to identify it in your project. Examples of random names are ... This error indicates that the library encounters an issue launching the process that synchronizes data to the server. Th ... By default, wandb.init starts a process that syncs metrics in real time to the cloud. For offline use, set two environme ... You likely lost connection to your machine during training. Recover data by running wandb sync PATH\_TO\_RUN (/models/ref/ ... When wandb.init() runs in a training script, an API call creates a run object on the servers. A new process starts to st ... Avoid passing class attributes into wandb.Run.log(). Attributes may change before the network call executes. When storin ... The number of points sent affects the loading time of graphs in the UI. For lines exceeding 1,000 points, the backend sa ... W\&B supports projects that log only scalars by allowing explicit specification of files or data for upload. Refer to thi ... To log specific metrics in each batch and standardize plots, log the desired x-axis values alongside the metrics. In the ... These modes are available: online (default): The client sends data to the wandb server. offline: The client stores data ... When visualizing metrics against an X-axis other than Step, expect to see fewer data points. Metrics must log at the sam ... Export limits can prevent the entire run history from being exported as a CSV or using the run.history API. To access th ... Metric names in W\&B must follow GraphQL naming conventions to ensure they can be properly sorted and filtered in the UI. ... If your process hangs when started with Hydra, this is likely caused by a multiprocessing conflict between Hydra and W\&B ... There are two common reasons training hangs when using W\&B with distributed training: 1. Hanging at the beginning of tra ... If the message "No visualization data logged yet" appears, the script has not executed the first wandb.log call. This si ... When logging various data types under the same key, split them in the database. This results in multiple entries of the ... W\&B has a minimal impact on training performance under normal usage conditions. Normal use includes logging at a rate of ...