[2023-12-07 03:35:49,908][hydra][INFO] - 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: 123456 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: 1 enable_progress_bar: false limit_train_batches: null limit_validation_batches: null active_fit: max_budget: 5000 query_size: 25 reinit_model: true limit_pool_batches: null limit_test_batches: null test: log_interval: 1 enable_progress_bar: false limit_batches: null 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: /rds/user/pl487/hpc-work/anchoral/data/prepared/agnews-business-.01 processed_path: /rds/user/pl487/hpc-work/anchoral/data/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: agnews-business-.01/deberta_v3-base_anchoral_entropy_2023-12-06T10-52-24 data_path: /rds/user/pl487/hpc-work/anchoral/data ====================================================================== [2023-12-07 03:35:49,931][hydra][INFO] - Running active learning with strategy {'name': 'anchoral_entropy', 'args': {'seed': 42, 'subpool_size': 10000, 'num_neighbours': 50, 'max_search_size': None, 'num_anchors': 10, 'anchor_strategy_minority': 'kmeans_pp_sampling', 'anchor_strategy_majority': 'kmeans_pp_sampling', 'minority_classes_ids': None}} [2023-12-07 03:35:49,949][hydra][INFO] - Seed enabled: 42 [2023-12-07 03:35:50,941][hydra][INFO] - loading index from /rds/user/pl487/hpc-work/anchoral/data/processed/agnews/all-mpnet-base-v2_cosine [2023-12-07 03:35:52,895][hydra][INFO] - Labelled size: 100 Pool size: 90810 Test size: 7600 Label distribution: | | labels | count | perc | |---:|:---------|--------:|-------:| | 0 | Negative | 95 | 0.95 | | 1 | Positive | 5 | 0.05 | [2023-12-07 03:35:52,910][hydra][INFO] - Batch: {: tensor([[ 1, 1864, 294, 41142, 2729, 2152, 19979, 53884, 5147, 1050, 279, 7439, 2298, 927, 7710, 70907, 2]]), : tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]), : tensor([0]), : {: [122709]}} [2023-12-07 03:35:54,719][hydra][INFO] - Loggers: {'tensorboard': } [2023-12-07 03:35:54,719][hydra][INFO] - Callbacks: {'timer': , 'save_outputs': , 'early_stopping': , 'model_checkpoint': } [2023-12-07 03:35:54,773][hydra][INFO] - | Name | Type | Params ---------------------------------------------- 0 | deberta | DebertaV2Model | 183 M 1 | pooler | ContextPooler | 590 K 2 | classifier | Linear | 1.5 K 3 | dropout | StableDropout | 0 ---------------------------------------------- 184 M Trainable params 0 Non-trainable params 184 M Total params 737.695 Total estimated model params size (MB) 0.00 GB CUDA Memory used [2023-12-07 09:33:08,507][submitit][INFO] - Job has timed out. Ran 357 minutes out of requested 360 minutes. [2023-12-07 09:33:08,526][submitit][WARNING] - Caught signal SIGUSR2 on gpu-q-60: this job is timed-out. [2023-12-07 09:33:08,543][submitit][INFO] - Calling checkpoint method. [2023-12-07 09:33:08,568][submitit][INFO] - Job not requeued because: timed-out too many times. [2023-12-07 09:33:08,568][submitit][WARNING] - Bypassing signal SIGCONT [2023-12-07 09:33:08,586][submitit][INFO] - Job completed successfully