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: 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: 123456 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: 5000 query_size: 25 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: name: anchoral_entropy args: seed: 42 subpool_size: 10000 num_neighbours: 50 max_search_size: null num_anchors: 10 anchor_strategy_minority: kmeans_pp_sampling anchor_strategy_majority: kmeans_pp_sampling minority_classes_ids: null model: name: deberta_v3-base seed: 654321 dataset: name: agnews-business-.01 text_column: text label_column: labels uid_column: uid prepared_path: ${data_path}/prepared/agnews-business-.01 processed_path: ${data_path}/processed/agnews minority_classes: - 1 index_metric: all-mpnet-base-v2_cosine log_interval: 1 enable_progress_bar: false limit_batches: null seed: 42 experiment_group: deberta_v3-base/new run_name: ${dataset.name}/${model.name}_${strategy.name}_${now:%Y-%m-%d}T${now:%H-%M-%S} data_path: /rds/user/pl487/hpc-work/anchoral/data