関連#418 WandB でログを取得するオプションを追加しました。利用するには事前に pip install wandb で wandb のインストールと wandb login で必要になります。以下の引数を追加しました。 --log_with: 使用するログ取得ツールで、現在は tensorboard、wandb、all が選
I added wandb integration to monitor the training. Loss and sample image logging are supported. Example config: job:extensionconfig:name:"my_first_flux_lora_v1"process: -type:'sd_trainer'training_folder:...#other config#logging configlogging:use_wandb:true#enable wandb by this flagproject_name...
pip install wandb 执行命令,安装weights & biases库: 按下回车键执行上述命令,pip将会从Python包索引(PyPI)下载并安装wandb库。安装过程可能需要一些时间,具体取决于你的网络连接速度。 验证安装是否成功: 安装完成后,你可以通过运行以下命令来验证wandb是否已成功安装: bash wandb --version 如果命令成功执行并返...
wandb.init(sync_tensorboard=True) Now, we can open a browser from any device to have a look at the training process. By adding just two lines in our code we got a powerful tool for experiment management. It’s not required to understand how to perform logging using W&B. If you are ...
[docs]definitialize_wandb(project:str,entity:str,name:str="train",group:str=None,sync_tensorboard:bool=False,save_code:bool=False,resume:str=None,config=None,mode:Literal["offline","online","disabled"]="offline",results_dir:str=None,):"""Function to initialize wandb client with the wei...
Routines and Utilities"""importloggingimportosimportwandbfromtypingimportLiteralfrompathlibimportPathfromdatetimeimportdatetimefromwandbimportAlertLevelfrommodulus.distributedimportDistributedManagerfrom.utilsimportcreate_ddp_group_tagDEFAULT_WANDB_CONFIG="~/.netrc"logger=logging.getLogger(__name__)_WANDB_INITIALIZE...
wandb: project_name: "megaportraits" data: train_width: 512 train_height: 512 @@ -11,6 +15,10 @@ data: cache_audio: true preextract_audio: true training: logging_dir: "logs" batch_size: 1 num_workers: 0 sample_interval: 100 save_frames: True log_dir: './logs' project_name...
[AI4Math @ ICML 2024] Source code for "Learning to Use the Calculator Improves Numerical Abilities of Language Models" - Checkpointing operation head + wandb logging + cuda fix · calc-cmu/pre-calc@78490f4
By only changingWandbLogger()toWandbLogger(project='a'), it changes how the step value is logged. With this change, the step value is logged as the global training step value, and is consistent between the train and validation logging. ...