| [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: | |
| {<InputKeys.INPUT_IDS: 'input_ids'>: tensor([[ 1, 1864, 294, 41142, 2729, 2152, 19979, 53884, 5147, 1050, | |
| 279, 7439, 2298, 927, 7710, 70907, 2]]), <InputKeys.ATT_MASK: 'attention_mask'>: tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]), <InputKeys.LABELS: 'labels'>: tensor([0]), <InputKeys.ON_CPU: 'on_cpu'>: {<SpecialKeys.ID: 'uid'>: [122709]}} | |
| [2023-12-07 03:35:54,719][hydra][INFO] - Loggers: {'tensorboard': <energizer.loggers.tensorboard.TensorBoardLogger object at 0x14699566a700>} | |
| [2023-12-07 03:35:54,719][hydra][INFO] - Callbacks: {'timer': <energizer.active_learning.callbacks.Timer object at 0x1469954dbf40>, 'save_outputs': <src.callbacks.SaveOutputs object at 0x1469954db430>, 'early_stopping': <energizer.callbacks.early_stopping.EarlyStopping object at 0x146995583130>, 'model_checkpoint': <energizer.callbacks.model_checkpoint.ModelCheckpoint object at 0x146995583af0>} | |
| [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 | |