hydra: run: dir: ./outputs/${experiment_group}/${run_name} sweep: dir: ./outputs/multirun/${experiment_group} subdir: ${run_name}_${hydra.job.id} launcher: _target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher n_jobs: 3 backend: null prefer: processes require: null verbose: 0 timeout: null pre_dispatch: 2*n_jobs batch_size: auto temp_folder: null max_nbytes: null mmap_mode: r sweeper: _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper max_batch_size: null params: null help: app_name: ${hydra.job.name} header: '${hydra.help.app_name} is powered by Hydra. ' footer: 'Powered by Hydra (https://hydra.cc) Use --hydra-help to view Hydra specific help ' template: '${hydra.help.header} == Configuration groups == Compose your configuration from those groups (group=option) $APP_CONFIG_GROUPS == Config == Override anything in the config (foo.bar=value) $CONFIG ${hydra.help.footer} ' hydra_help: template: 'Hydra (${hydra.runtime.version}) See https://hydra.cc for more info. == Flags == $FLAGS_HELP == Configuration groups == Compose your configuration from those groups (For example, append hydra/job_logging=disabled to command line) $HYDRA_CONFIG_GROUPS Use ''--cfg hydra'' to Show the Hydra config. ' hydra_help: ??? hydra_logging: version: 1 formatters: colorlog: (): colorlog.ColoredFormatter format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' handlers: console: class: logging.StreamHandler formatter: colorlog stream: ext://sys.stdout root: level: INFO handlers: - console disable_existing_loggers: false job_logging: version: 1 formatters: simple: format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' colorlog: (): colorlog.ColoredFormatter format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] - %(message)s' log_colors: DEBUG: purple INFO: green WARNING: yellow ERROR: red CRITICAL: bold_red handlers: console: class: logging.StreamHandler formatter: colorlog stream: ext://sys.stdout file: class: logging.FileHandler formatter: simple filename: ${hydra.job.name}.log root: level: INFO handlers: - console - file disable_existing_loggers: false env: {} mode: MULTIRUN searchpath: [] callbacks: {} output_subdir: .hydra overrides: hydra: - hydra.mode=MULTIRUN task: - experiment_group=binary_classification_superextended - dataset=amazon_agri - strategy=seals_badge,anchoral_badge - data.seed=654321 - model.seed=654321 - active_data.seed=654321 - +launcher=joblib - active_fit.max_budget=20000 - active_fit.query_size=100 job: name: active_train chdir: true override_dirname: +launcher=joblib,active_data.seed=654321,active_fit.max_budget=20000,active_fit.query_size=100,data.seed=654321,dataset=amazon_agri,experiment_group=binary_classification_superextended,model.seed=654321,strategy=seals_badge,anchoral_badge id: ??? num: ??? config_name: conf env_set: {} env_copy: [] config: override_dirname: kv_sep: '=' item_sep: ',' exclude_keys: [] runtime: version: 1.3.2 version_base: '1.3' cwd: /home/pl487/anchoral config_sources: - path: hydra.conf schema: pkg provider: hydra - path: /home/pl487/anchoral/conf schema: file provider: main - path: hydra_plugins.hydra_colorlog.conf schema: pkg provider: hydra-colorlog - path: '' schema: structured provider: schema output_dir: ??? choices: launcher: joblib dataset: amazon_agri strategy: null hydra/env: default hydra/callbacks: null hydra/job_logging: colorlog hydra/hydra_logging: colorlog hydra/hydra_help: default hydra/help: default hydra/sweeper: basic hydra/launcher: joblib hydra/output: default verbose: false estimator: accelerator: gpu precision: 32 deterministic: true tf32_mode: high callbacks: timer: _target_: energizer.active_learning.callbacks.Timer save_outputs: _target_: src.callbacks.SaveOutputs dirpath: ./logs/ instance_level: false batch_level: false epoch_level: false early_stopping: _target_: energizer.callbacks.early_stopping.EarlyStopping monitor: train/avg_f1_minclass stage: train interval: epoch mode: max min_delta: 1.0e-05 patience: 10 stopping_threshold: null divergence_threshold: null verbose: true model_checkpoint: _target_: energizer.callbacks.model_checkpoint.ModelCheckpoint dirpath: .checkpoints monitor: train/avg_f1_minclass stage: train mode: max save_last: false save_top_k: 1 verbose: true loggers: wandb: _target_: energizer.loggers.wandb.WandbLogger project: anchoral entity: pietro_lesci group: ${strategy.name}_${dataset.name}_${model.name} name: ${run_name} tags: - ${experiment_group} tensorboard: _target_: energizer.loggers.TensorBoardLogger root_dir: ./ name: tb_logs version: null data: batch_size: 32 eval_batch_size: 256 num_workers: 32 pin_memory: true drop_last: false persistent_workers: true shuffle: true seed: 654321 replacement: false max_length: 512 active_data: budget: 100 positive_budget: 5 seed: 654321 fit: min_steps: 100 max_epochs: 10 learning_rate: 4.0e-05 optimizer: adamw log_interval: ${log_interval} enable_progress_bar: ${enable_progress_bar} limit_train_batches: ${limit_batches} limit_validation_batches: ${limit_batches} active_fit: max_budget: 20000 query_size: 100 reinit_model: true limit_pool_batches: ${limit_batches} limit_test_batches: ${limit_batches} test: log_interval: ${log_interval} enable_progress_bar: ${enable_progress_bar} limit_batches: ${limit_batches} strategy: ??? model: name: bert-base seed: 654321 dataset: name: amazon-agri text_column: text label_column: labels uid_column: uid prepared_path: ${data_path}/prepared/amazoncat-agri processed_path: ${data_path}/processed/amazoncat-13k minority_classes: - 1 index_metric: all-mpnet-base-v2_cosine log_interval: 1 enable_progress_bar: false limit_batches: null seed: 42 experiment_group: binary_classification_superextended run_name: ${dataset.name}/${model.name}_${strategy.name}_${now:%Y-%m-%d}T${now:%H-%M-%S} data_path: /home/pl487/anchoral/data