W&B Support for the HF Flax Community Week
Hey all!I’m super stoked be be taking part in another community week (project “BART pre-training” woop woop!).I work at Weights & Biases and to help out, we are delighted to support the community here in 3 ways:Free W&B Team account for all projectsW&B setup/Q&A sessions with all HF Projects for the duration of the eventCode to log to W&BFull information is here:W&B HF Community Week SuppportW&B Team sign-upAdd your HF Discord username and Project Name tothis Google Sheetand I’ll ping you when its set up!Logging with W&BBelow is all you need to get rich logging to your W&B workspace.W&B can pick up Tensorboard log filesso there is no need to add additional logging calls, unless you’d like to log additional metrics not logged to Tensorboard. See our docs for the W&BTensorboard integrationFirst, install wandbpip install wandb --upgradeThen use the code below to log to weights and biasesdef main﻿(﻿)﻿:
﻿
  import wandb
  if jax.process_index() == 0
    wandb.init(
      entity=﻿'my_team_name_or_username'﻿, 
      project=﻿'norwegian-t5-demo'﻿,
      sync_tensorboard=﻿True﻿
  )  
﻿
  # log your configs with wandb.config, accepts a dict
  if jax.process_index() == 0
    wandb.config.update(training_args)  # optional, log your configs
    wandb.config.update(model_args)  # optional, log your configs
    wandb.config.update(data_args)   # optional, log your configs
﻿
    wandb.config[﻿'my_other_thing'﻿] = 12345  # log additional things
﻿
  .﻿.﻿.
﻿
  # Log additional metrics not logged to Tensorboard
  for b in batches
    .﻿.﻿.
    metric = get_metric(﻿)
    if jax.process_index() == 0
      wandb.log(﻿{﻿'my_metric' : metric}﻿)Let me know if there are any W&B questions I can help with, and I hope you all enjoy a fantastic week!Morgan