Hannes Kuchelmeister
commited on
Commit
·
6a97ce7
1
Parent(s):
8edb126
remove old runs to rerun all experiments
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- logs/.gitignore +0 -1
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/.hydra/config.yaml +0 -75
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/.hydra/hydra.yaml +0 -241
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/.hydra/overrides.yaml +0 -10
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/csv/version_0/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/csv/version_0/metrics.csv +0 -202
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647014645.8aeae21f0ff6.1.0 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647015157.8aeae21f0ff6.1.1 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/tensorboard/focusConvMSE_150_hyperparameter_search/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/.hydra/config.yaml +0 -75
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/.hydra/hydra.yaml +0 -241
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/.hydra/overrides.yaml +0 -10
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/csv/version_0/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/csv/version_0/metrics.csv +0 -202
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647015157.8aeae21f0ff6.1.2 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647015803.8aeae21f0ff6.1.3 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/tensorboard/focusConvMSE_150_hyperparameter_search/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/.hydra/config.yaml +0 -75
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/.hydra/hydra.yaml +0 -241
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/.hydra/overrides.yaml +0 -10
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/csv/version_0/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/csv/version_0/metrics.csv +0 -202
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647024588.8aeae21f0ff6.1.20 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647025802.8aeae21f0ff6.1.21 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/tensorboard/focusConvMSE_150_hyperparameter_search/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/.hydra/config.yaml +0 -75
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/.hydra/hydra.yaml +0 -241
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/.hydra/overrides.yaml +0 -10
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/csv/version_0/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/csv/version_0/metrics.csv +0 -202
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647025803.8aeae21f0ff6.1.22 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647026046.8aeae21f0ff6.1.23 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/tensorboard/focusConvMSE_150_hyperparameter_search/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/.hydra/config.yaml +0 -75
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/.hydra/hydra.yaml +0 -241
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/.hydra/overrides.yaml +0 -10
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/csv/version_0/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/csv/version_0/metrics.csv +0 -202
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647026046.8aeae21f0ff6.1.24 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647026300.8aeae21f0ff6.1.25 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/tensorboard/focusConvMSE_150_hyperparameter_search/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/.hydra/config.yaml +0 -75
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/.hydra/hydra.yaml +0 -241
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/.hydra/overrides.yaml +0 -10
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/csv/version_0/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/csv/version_0/metrics.csv +0 -202
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647026300.8aeae21f0ff6.1.26 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647026563.8aeae21f0ff6.1.27 +0 -3
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/tensorboard/focusConvMSE_150_hyperparameter_search/hparams.yaml +0 -56
- logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/14/.hydra/config.yaml +0 -75
logs/.gitignore
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original_work_dir: ${hydra:runtime.cwd}
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data_dir: ${original_work_dir}/data
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name: focusConvMSE_150_hyperparameter_search
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datamodule:
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data_dir: ${data_dir}/focus150
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csv_file: ${data_dir}/focus150/metadata.csv
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batch_size: 64
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train_val_test_split_percentage:
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model:
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image_size: 150
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pool_size: 2
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conv1_size: 7
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conv1_channels: 3
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output_size: 1
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lr: 0.0019207962356032353
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weight_decay: 0.0005
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callbacks:
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monitor: val/mae
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save_top_k: 1
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save_last: true
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verbose: false
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dirpath: checkpoints/
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filename: epoch_{epoch:03d}
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auto_insert_metric_name: false
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early_stopping:
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monitor: val/mae
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mode: min
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patience: 100
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min_delta: 0
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model_summary:
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max_depth: -1
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rich_progress_bar:
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logger:
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csv:
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save_dir: .
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name: csv/
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tensorboard:
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default_hp_metric: true
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prefix: ''
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trainer:
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_target_: pytorch_lightning.Trainer
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gpus: 0
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min_epochs: 1
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max_epochs: 100
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optimized_metric: val/mae_best
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hydra:
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run:
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dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
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sweep:
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dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
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subdir: ${hydra.job.num}
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launcher:
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_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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sweeper:
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sampler:
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_target_: optuna.samplers.TPESampler
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seed: 12345
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consider_prior: true
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prior_weight: 1.0
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consider_magic_clip: true
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consider_endpoints: false
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n_startup_trials: 10
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n_ei_candidates: 24
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multivariate: false
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warn_independent_sampling: true
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_target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
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direction: minimize
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storage: null
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study_name: focusConvMSE_150_hyperparameter_search
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n_trials: 20
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n_jobs: 1
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search_space:
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datamodule.batch_size:
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type: categorical
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choices:
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choices:
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choices:
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choices:
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choices:
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choices:
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choices:
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help:
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app_name: ${hydra.job.name}
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header: '${hydra.help.app_name} is powered by Hydra.
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'
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footer: 'Powered by Hydra (https://hydra.cc)
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Use --hydra-help to view Hydra specific help
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'
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template: '${hydra.help.header}
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hydra_help:
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template: 'Hydra (${hydra.runtime.version})
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See https://hydra.cc for more info.
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== Flags ==
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$FLAGS_HELP
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== Configuration groups ==
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Compose your configuration from those groups (For example, append hydra/job_logging=disabled
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to command line)
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$HYDRA_CONFIG_GROUPS
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hydra_help: ???
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hydra_logging:
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version: 1
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formatters:
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colorlog:
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(): colorlog.ColoredFormatter
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format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
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handlers:
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console:
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class: logging.StreamHandler
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formatter: colorlog
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stream: ext://sys.stdout
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root:
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level: INFO
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handlers:
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- console
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disable_existing_loggers: false
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job_logging:
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version: 1
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formatters:
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simple:
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format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
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colorlog:
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(): colorlog.ColoredFormatter
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format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
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- %(message)s'
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log_colors:
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DEBUG: purple
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INFO: green
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WARNING: yellow
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ERROR: red
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CRITICAL: red
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handlers:
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console:
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class: logging.StreamHandler
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formatter: colorlog
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stream: ext://sys.stdout
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file:
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class: logging.FileHandler
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formatter: simple
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filename: ${hydra.job.name}.log
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root:
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level: INFO
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handlers:
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- console
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- file
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disable_existing_loggers: false
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env: {}
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searchpath: []
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callbacks: {}
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output_subdir: .hydra
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overrides:
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hydra: []
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task:
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- datamodule.batch_size=64
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-
- model.lr=0.0019207962356032353
|
183 |
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- model.conv1_size=7
|
184 |
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- model.conv1_channels=3
|
185 |
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- model.conv2_size=7
|
186 |
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- model.conv2_channels=16
|
187 |
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- model.lin1_size=128
|
188 |
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- model.lin2_size=32
|
189 |
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- hparams_search=focusConvMSE_150
|
190 |
-
- trainer.gpus=0
|
191 |
-
job:
|
192 |
-
name: train
|
193 |
-
override_dirname: datamodule.batch_size=64,hparams_search=focusConvMSE_150,model.conv1_channels=3,model.conv1_size=7,model.conv2_channels=16,model.conv2_size=7,model.lin1_size=128,model.lin2_size=32,model.lr=0.0019207962356032353,trainer.gpus=0
|
194 |
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id: '0'
|
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num: 0
|
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config_name: train.yaml
|
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env_set: {}
|
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env_copy: []
|
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config:
|
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override_dirname:
|
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kv_sep: '='
|
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item_sep: ','
|
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exclude_keys: []
|
204 |
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runtime:
|
205 |
-
version: 1.1.1
|
206 |
-
cwd: /usr/src/app
|
207 |
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config_sources:
|
208 |
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- path: hydra.conf
|
209 |
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schema: pkg
|
210 |
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provider: hydra
|
211 |
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- path: /usr/src/app/configs
|
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schema: file
|
213 |
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provider: main
|
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- path: hydra_plugins.hydra_colorlog.conf
|
215 |
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schema: pkg
|
216 |
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provider: hydra-colorlog
|
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- path: ''
|
218 |
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schema: structured
|
219 |
-
provider: schema
|
220 |
-
choices:
|
221 |
-
local: default.yaml
|
222 |
-
hparams_search: focusConvMSE_150
|
223 |
-
debug: null
|
224 |
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experiment: null
|
225 |
-
log_dir: default.yaml
|
226 |
-
trainer: long.yaml
|
227 |
-
logger: many_loggers
|
228 |
-
callbacks: default.yaml
|
229 |
-
model: focusConv_150.yaml
|
230 |
-
datamodule: focus150.yaml
|
231 |
-
hydra/env: default
|
232 |
-
hydra/callbacks: null
|
233 |
-
hydra/job_logging: colorlog
|
234 |
-
hydra/hydra_logging: colorlog
|
235 |
-
hydra/hydra_help: default
|
236 |
-
hydra/help: default
|
237 |
-
hydra/sweeper: optuna
|
238 |
-
hydra/sweeper/sampler: tpe
|
239 |
-
hydra/launcher: basic
|
240 |
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hydra/output: default
|
241 |
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verbose: false
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/.hydra/overrides.yaml
DELETED
@@ -1,10 +0,0 @@
|
|
1 |
-
- datamodule.batch_size=64
|
2 |
-
- model.lr=0.0019207962356032353
|
3 |
-
- model.conv1_size=7
|
4 |
-
- model.conv1_channels=3
|
5 |
-
- model.conv2_size=7
|
6 |
-
- model.conv2_channels=16
|
7 |
-
- model.lin1_size=128
|
8 |
-
- model.lin2_size=32
|
9 |
-
- hparams_search=focusConvMSE_150
|
10 |
-
- trainer.gpus=0
|
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|
logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/csv/version_0/hparams.yaml
DELETED
@@ -1,56 +0,0 @@
|
|
1 |
-
trainer:
|
2 |
-
_target_: pytorch_lightning.Trainer
|
3 |
-
gpus: 0
|
4 |
-
min_epochs: 1
|
5 |
-
max_epochs: 100
|
6 |
-
resume_from_checkpoint: null
|
7 |
-
model:
|
8 |
-
_target_: src.models.focus_conv_module.FocusConvLitModule
|
9 |
-
image_size: 150
|
10 |
-
pool_size: 2
|
11 |
-
conv1_size: 7
|
12 |
-
conv1_channels: 3
|
13 |
-
conv2_size: 7
|
14 |
-
conv2_channels: 16
|
15 |
-
lin1_size: 128
|
16 |
-
lin2_size: 32
|
17 |
-
output_size: 1
|
18 |
-
lr: 0.0019207962356032353
|
19 |
-
weight_decay: 0.0005
|
20 |
-
datamodule:
|
21 |
-
_target_: src.datamodules.focus_datamodule.FocusDataModule
|
22 |
-
data_dir: /usr/src/app/data/focus150
|
23 |
-
csv_file: /usr/src/app/data/focus150/metadata.csv
|
24 |
-
batch_size: 64
|
25 |
-
train_val_test_split_percentage:
|
26 |
-
- 0.7
|
27 |
-
- 0.15
|
28 |
-
- 0.15
|
29 |
-
num_workers: 0
|
30 |
-
pin_memory: false
|
31 |
-
seed: null
|
32 |
-
callbacks:
|
33 |
-
model_checkpoint:
|
34 |
-
_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
35 |
-
monitor: val/mae
|
36 |
-
mode: min
|
37 |
-
save_top_k: 1
|
38 |
-
save_last: true
|
39 |
-
verbose: false
|
40 |
-
dirpath: checkpoints/
|
41 |
-
filename: epoch_{epoch:03d}
|
42 |
-
auto_insert_metric_name: false
|
43 |
-
early_stopping:
|
44 |
-
_target_: pytorch_lightning.callbacks.EarlyStopping
|
45 |
-
monitor: val/mae
|
46 |
-
mode: min
|
47 |
-
patience: 100
|
48 |
-
min_delta: 0
|
49 |
-
model_summary:
|
50 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
51 |
-
max_depth: -1
|
52 |
-
rich_progress_bar:
|
53 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
54 |
-
model/params/total: 2513981
|
55 |
-
model/params/trainable: 2513981
|
56 |
-
model/params/non_trainable: 0
|
|
|
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|
logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/0/csv/version_0/metrics.csv
DELETED
@@ -1,202 +0,0 @@
|
|
1 |
-
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/.hydra/config.yaml
DELETED
@@ -1,75 +0,0 @@
|
|
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-
original_work_dir: ${hydra:runtime.cwd}
|
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data_dir: ${original_work_dir}/data
|
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print_config: true
|
4 |
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ignore_warnings: true
|
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train: true
|
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test: true
|
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seed: null
|
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name: focusConvMSE_150_hyperparameter_search
|
9 |
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datamodule:
|
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_target_: src.datamodules.focus_datamodule.FocusDataModule
|
11 |
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data_dir: ${data_dir}/focus150
|
12 |
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csv_file: ${data_dir}/focus150/metadata.csv
|
13 |
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batch_size: 64
|
14 |
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train_val_test_split_percentage:
|
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- 0.7
|
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- 0.15
|
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- 0.15
|
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num_workers: 0
|
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pin_memory: false
|
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model:
|
21 |
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_target_: src.models.focus_conv_module.FocusConvLitModule
|
22 |
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image_size: 150
|
23 |
-
pool_size: 2
|
24 |
-
conv1_size: 7
|
25 |
-
conv1_channels: 6
|
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conv2_size: 7
|
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-
conv2_channels: 16
|
28 |
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lin1_size: 128
|
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lin2_size: 72
|
30 |
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output_size: 1
|
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lr: 0.0033232883076398404
|
32 |
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weight_decay: 0.0005
|
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callbacks:
|
34 |
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model_checkpoint:
|
35 |
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_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
36 |
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monitor: val/mae
|
37 |
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mode: min
|
38 |
-
save_top_k: 1
|
39 |
-
save_last: true
|
40 |
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verbose: false
|
41 |
-
dirpath: checkpoints/
|
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-
filename: epoch_{epoch:03d}
|
43 |
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auto_insert_metric_name: false
|
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early_stopping:
|
45 |
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_target_: pytorch_lightning.callbacks.EarlyStopping
|
46 |
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monitor: val/mae
|
47 |
-
mode: min
|
48 |
-
patience: 100
|
49 |
-
min_delta: 0
|
50 |
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model_summary:
|
51 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
52 |
-
max_depth: -1
|
53 |
-
rich_progress_bar:
|
54 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
55 |
-
logger:
|
56 |
-
csv:
|
57 |
-
_target_: pytorch_lightning.loggers.csv_logs.CSVLogger
|
58 |
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save_dir: .
|
59 |
-
name: csv/
|
60 |
-
prefix: ''
|
61 |
-
tensorboard:
|
62 |
-
_target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
|
63 |
-
save_dir: tensorboard/
|
64 |
-
name: null
|
65 |
-
version: ${name}
|
66 |
-
log_graph: false
|
67 |
-
default_hp_metric: true
|
68 |
-
prefix: ''
|
69 |
-
trainer:
|
70 |
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_target_: pytorch_lightning.Trainer
|
71 |
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gpus: 0
|
72 |
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min_epochs: 1
|
73 |
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max_epochs: 100
|
74 |
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resume_from_checkpoint: null
|
75 |
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optimized_metric: val/mae_best
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/.hydra/hydra.yaml
DELETED
@@ -1,241 +0,0 @@
|
|
1 |
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hydra:
|
2 |
-
run:
|
3 |
-
dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
4 |
-
sweep:
|
5 |
-
dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
6 |
-
subdir: ${hydra.job.num}
|
7 |
-
launcher:
|
8 |
-
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
-
sweeper:
|
10 |
-
sampler:
|
11 |
-
_target_: optuna.samplers.TPESampler
|
12 |
-
seed: 12345
|
13 |
-
consider_prior: true
|
14 |
-
prior_weight: 1.0
|
15 |
-
consider_magic_clip: true
|
16 |
-
consider_endpoints: false
|
17 |
-
n_startup_trials: 10
|
18 |
-
n_ei_candidates: 24
|
19 |
-
multivariate: false
|
20 |
-
warn_independent_sampling: true
|
21 |
-
_target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
|
22 |
-
direction: minimize
|
23 |
-
storage: null
|
24 |
-
study_name: focusConvMSE_150_hyperparameter_search
|
25 |
-
n_trials: 20
|
26 |
-
n_jobs: 1
|
27 |
-
search_space:
|
28 |
-
datamodule.batch_size:
|
29 |
-
type: categorical
|
30 |
-
choices:
|
31 |
-
- 64
|
32 |
-
- 128
|
33 |
-
model.lr:
|
34 |
-
type: float
|
35 |
-
low: 0.0001
|
36 |
-
high: 0.01
|
37 |
-
model.conv1_size:
|
38 |
-
type: categorical
|
39 |
-
choices:
|
40 |
-
- 3
|
41 |
-
- 5
|
42 |
-
- 7
|
43 |
-
model.conv1_channels:
|
44 |
-
type: categorical
|
45 |
-
choices:
|
46 |
-
- 3
|
47 |
-
- 6
|
48 |
-
- 9
|
49 |
-
model.conv2_size:
|
50 |
-
type: categorical
|
51 |
-
choices:
|
52 |
-
- 3
|
53 |
-
- 5
|
54 |
-
- 7
|
55 |
-
model.conv2_channels:
|
56 |
-
type: categorical
|
57 |
-
choices:
|
58 |
-
- 6
|
59 |
-
- 11
|
60 |
-
- 16
|
61 |
-
model.lin1_size:
|
62 |
-
type: categorical
|
63 |
-
choices:
|
64 |
-
- 32
|
65 |
-
- 72
|
66 |
-
- 128
|
67 |
-
model.lin2_size:
|
68 |
-
type: categorical
|
69 |
-
choices:
|
70 |
-
- 32
|
71 |
-
- 72
|
72 |
-
- 128
|
73 |
-
help:
|
74 |
-
app_name: ${hydra.job.name}
|
75 |
-
header: '${hydra.help.app_name} is powered by Hydra.
|
76 |
-
|
77 |
-
'
|
78 |
-
footer: 'Powered by Hydra (https://hydra.cc)
|
79 |
-
|
80 |
-
Use --hydra-help to view Hydra specific help
|
81 |
-
|
82 |
-
'
|
83 |
-
template: '${hydra.help.header}
|
84 |
-
|
85 |
-
== Configuration groups ==
|
86 |
-
|
87 |
-
Compose your configuration from those groups (group=option)
|
88 |
-
|
89 |
-
|
90 |
-
$APP_CONFIG_GROUPS
|
91 |
-
|
92 |
-
|
93 |
-
== Config ==
|
94 |
-
|
95 |
-
Override anything in the config (foo.bar=value)
|
96 |
-
|
97 |
-
|
98 |
-
$CONFIG
|
99 |
-
|
100 |
-
|
101 |
-
${hydra.help.footer}
|
102 |
-
|
103 |
-
'
|
104 |
-
hydra_help:
|
105 |
-
template: 'Hydra (${hydra.runtime.version})
|
106 |
-
|
107 |
-
See https://hydra.cc for more info.
|
108 |
-
|
109 |
-
|
110 |
-
== Flags ==
|
111 |
-
|
112 |
-
$FLAGS_HELP
|
113 |
-
|
114 |
-
|
115 |
-
== Configuration groups ==
|
116 |
-
|
117 |
-
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
118 |
-
to command line)
|
119 |
-
|
120 |
-
|
121 |
-
$HYDRA_CONFIG_GROUPS
|
122 |
-
|
123 |
-
|
124 |
-
Use ''--cfg hydra'' to Show the Hydra config.
|
125 |
-
|
126 |
-
'
|
127 |
-
hydra_help: ???
|
128 |
-
hydra_logging:
|
129 |
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version: 1
|
130 |
-
formatters:
|
131 |
-
colorlog:
|
132 |
-
(): colorlog.ColoredFormatter
|
133 |
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format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
134 |
-
handlers:
|
135 |
-
console:
|
136 |
-
class: logging.StreamHandler
|
137 |
-
formatter: colorlog
|
138 |
-
stream: ext://sys.stdout
|
139 |
-
root:
|
140 |
-
level: INFO
|
141 |
-
handlers:
|
142 |
-
- console
|
143 |
-
disable_existing_loggers: false
|
144 |
-
job_logging:
|
145 |
-
version: 1
|
146 |
-
formatters:
|
147 |
-
simple:
|
148 |
-
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
149 |
-
colorlog:
|
150 |
-
(): colorlog.ColoredFormatter
|
151 |
-
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
152 |
-
- %(message)s'
|
153 |
-
log_colors:
|
154 |
-
DEBUG: purple
|
155 |
-
INFO: green
|
156 |
-
WARNING: yellow
|
157 |
-
ERROR: red
|
158 |
-
CRITICAL: red
|
159 |
-
handlers:
|
160 |
-
console:
|
161 |
-
class: logging.StreamHandler
|
162 |
-
formatter: colorlog
|
163 |
-
stream: ext://sys.stdout
|
164 |
-
file:
|
165 |
-
class: logging.FileHandler
|
166 |
-
formatter: simple
|
167 |
-
filename: ${hydra.job.name}.log
|
168 |
-
root:
|
169 |
-
level: INFO
|
170 |
-
handlers:
|
171 |
-
- console
|
172 |
-
- file
|
173 |
-
disable_existing_loggers: false
|
174 |
-
env: {}
|
175 |
-
searchpath: []
|
176 |
-
callbacks: {}
|
177 |
-
output_subdir: .hydra
|
178 |
-
overrides:
|
179 |
-
hydra: []
|
180 |
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task:
|
181 |
-
- datamodule.batch_size=64
|
182 |
-
- model.lr=0.0033232883076398404
|
183 |
-
- model.conv1_size=7
|
184 |
-
- model.conv1_channels=6
|
185 |
-
- model.conv2_size=7
|
186 |
-
- model.conv2_channels=16
|
187 |
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- model.lin1_size=128
|
188 |
-
- model.lin2_size=72
|
189 |
-
- hparams_search=focusConvMSE_150
|
190 |
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- trainer.gpus=0
|
191 |
-
job:
|
192 |
-
name: train
|
193 |
-
override_dirname: datamodule.batch_size=64,hparams_search=focusConvMSE_150,model.conv1_channels=6,model.conv1_size=7,model.conv2_channels=16,model.conv2_size=7,model.lin1_size=128,model.lin2_size=72,model.lr=0.0033232883076398404,trainer.gpus=0
|
194 |
-
id: '1'
|
195 |
-
num: 1
|
196 |
-
config_name: train.yaml
|
197 |
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env_set: {}
|
198 |
-
env_copy: []
|
199 |
-
config:
|
200 |
-
override_dirname:
|
201 |
-
kv_sep: '='
|
202 |
-
item_sep: ','
|
203 |
-
exclude_keys: []
|
204 |
-
runtime:
|
205 |
-
version: 1.1.1
|
206 |
-
cwd: /usr/src/app
|
207 |
-
config_sources:
|
208 |
-
- path: hydra.conf
|
209 |
-
schema: pkg
|
210 |
-
provider: hydra
|
211 |
-
- path: /usr/src/app/configs
|
212 |
-
schema: file
|
213 |
-
provider: main
|
214 |
-
- path: hydra_plugins.hydra_colorlog.conf
|
215 |
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schema: pkg
|
216 |
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provider: hydra-colorlog
|
217 |
-
- path: ''
|
218 |
-
schema: structured
|
219 |
-
provider: schema
|
220 |
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choices:
|
221 |
-
local: default.yaml
|
222 |
-
hparams_search: focusConvMSE_150
|
223 |
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debug: null
|
224 |
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experiment: null
|
225 |
-
log_dir: default.yaml
|
226 |
-
trainer: long.yaml
|
227 |
-
logger: many_loggers
|
228 |
-
callbacks: default.yaml
|
229 |
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model: focusConv_150.yaml
|
230 |
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datamodule: focus150.yaml
|
231 |
-
hydra/env: default
|
232 |
-
hydra/callbacks: null
|
233 |
-
hydra/job_logging: colorlog
|
234 |
-
hydra/hydra_logging: colorlog
|
235 |
-
hydra/hydra_help: default
|
236 |
-
hydra/help: default
|
237 |
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hydra/sweeper: optuna
|
238 |
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hydra/sweeper/sampler: tpe
|
239 |
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hydra/launcher: basic
|
240 |
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hydra/output: default
|
241 |
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verbose: false
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/.hydra/overrides.yaml
DELETED
@@ -1,10 +0,0 @@
|
|
1 |
-
- datamodule.batch_size=64
|
2 |
-
- model.lr=0.0033232883076398404
|
3 |
-
- model.conv1_size=7
|
4 |
-
- model.conv1_channels=6
|
5 |
-
- model.conv2_size=7
|
6 |
-
- model.conv2_channels=16
|
7 |
-
- model.lin1_size=128
|
8 |
-
- model.lin2_size=72
|
9 |
-
- hparams_search=focusConvMSE_150
|
10 |
-
- trainer.gpus=0
|
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/csv/version_0/hparams.yaml
DELETED
@@ -1,56 +0,0 @@
|
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1 |
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model:
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image_size: 150
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pool_size: 2
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lin1_size: 128
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output_size: 1
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datamodule:
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data_dir: /usr/src/app/data/focus150
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csv_file: /usr/src/app/data/focus150/metadata.csv
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batch_size: 64
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monitor: val/mae
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mode: min
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dirpath: checkpoints/
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filename: epoch_{epoch:03d}
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early_stopping:
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monitor: val/mae
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mode: min
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patience: 100
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model_summary:
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max_depth: -1
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rich_progress_bar:
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model/params/total: 2244121
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model/params/trainable: 2244121
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model/params/non_trainable: 0
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/1/csv/version_0/metrics.csv
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-
type: categorical
|
57 |
-
choices:
|
58 |
-
- 6
|
59 |
-
- 11
|
60 |
-
- 16
|
61 |
-
model.lin1_size:
|
62 |
-
type: categorical
|
63 |
-
choices:
|
64 |
-
- 32
|
65 |
-
- 72
|
66 |
-
- 128
|
67 |
-
model.lin2_size:
|
68 |
-
type: categorical
|
69 |
-
choices:
|
70 |
-
- 32
|
71 |
-
- 72
|
72 |
-
- 128
|
73 |
-
help:
|
74 |
-
app_name: ${hydra.job.name}
|
75 |
-
header: '${hydra.help.app_name} is powered by Hydra.
|
76 |
-
|
77 |
-
'
|
78 |
-
footer: 'Powered by Hydra (https://hydra.cc)
|
79 |
-
|
80 |
-
Use --hydra-help to view Hydra specific help
|
81 |
-
|
82 |
-
'
|
83 |
-
template: '${hydra.help.header}
|
84 |
-
|
85 |
-
== Configuration groups ==
|
86 |
-
|
87 |
-
Compose your configuration from those groups (group=option)
|
88 |
-
|
89 |
-
|
90 |
-
$APP_CONFIG_GROUPS
|
91 |
-
|
92 |
-
|
93 |
-
== Config ==
|
94 |
-
|
95 |
-
Override anything in the config (foo.bar=value)
|
96 |
-
|
97 |
-
|
98 |
-
$CONFIG
|
99 |
-
|
100 |
-
|
101 |
-
${hydra.help.footer}
|
102 |
-
|
103 |
-
'
|
104 |
-
hydra_help:
|
105 |
-
template: 'Hydra (${hydra.runtime.version})
|
106 |
-
|
107 |
-
See https://hydra.cc for more info.
|
108 |
-
|
109 |
-
|
110 |
-
== Flags ==
|
111 |
-
|
112 |
-
$FLAGS_HELP
|
113 |
-
|
114 |
-
|
115 |
-
== Configuration groups ==
|
116 |
-
|
117 |
-
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
118 |
-
to command line)
|
119 |
-
|
120 |
-
|
121 |
-
$HYDRA_CONFIG_GROUPS
|
122 |
-
|
123 |
-
|
124 |
-
Use ''--cfg hydra'' to Show the Hydra config.
|
125 |
-
|
126 |
-
'
|
127 |
-
hydra_help: ???
|
128 |
-
hydra_logging:
|
129 |
-
version: 1
|
130 |
-
formatters:
|
131 |
-
colorlog:
|
132 |
-
(): colorlog.ColoredFormatter
|
133 |
-
format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
134 |
-
handlers:
|
135 |
-
console:
|
136 |
-
class: logging.StreamHandler
|
137 |
-
formatter: colorlog
|
138 |
-
stream: ext://sys.stdout
|
139 |
-
root:
|
140 |
-
level: INFO
|
141 |
-
handlers:
|
142 |
-
- console
|
143 |
-
disable_existing_loggers: false
|
144 |
-
job_logging:
|
145 |
-
version: 1
|
146 |
-
formatters:
|
147 |
-
simple:
|
148 |
-
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
149 |
-
colorlog:
|
150 |
-
(): colorlog.ColoredFormatter
|
151 |
-
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
152 |
-
- %(message)s'
|
153 |
-
log_colors:
|
154 |
-
DEBUG: purple
|
155 |
-
INFO: green
|
156 |
-
WARNING: yellow
|
157 |
-
ERROR: red
|
158 |
-
CRITICAL: red
|
159 |
-
handlers:
|
160 |
-
console:
|
161 |
-
class: logging.StreamHandler
|
162 |
-
formatter: colorlog
|
163 |
-
stream: ext://sys.stdout
|
164 |
-
file:
|
165 |
-
class: logging.FileHandler
|
166 |
-
formatter: simple
|
167 |
-
filename: ${hydra.job.name}.log
|
168 |
-
root:
|
169 |
-
level: INFO
|
170 |
-
handlers:
|
171 |
-
- console
|
172 |
-
- file
|
173 |
-
disable_existing_loggers: false
|
174 |
-
env: {}
|
175 |
-
searchpath: []
|
176 |
-
callbacks: {}
|
177 |
-
output_subdir: .hydra
|
178 |
-
overrides:
|
179 |
-
hydra: []
|
180 |
-
task:
|
181 |
-
- datamodule.batch_size=64
|
182 |
-
- model.lr=0.005087336593525169
|
183 |
-
- model.conv1_size=3
|
184 |
-
- model.conv1_channels=9
|
185 |
-
- model.conv2_size=3
|
186 |
-
- model.conv2_channels=6
|
187 |
-
- model.lin1_size=72
|
188 |
-
- model.lin2_size=72
|
189 |
-
- hparams_search=focusConvMSE_150
|
190 |
-
- trainer.gpus=0
|
191 |
-
job:
|
192 |
-
name: train
|
193 |
-
override_dirname: datamodule.batch_size=64,hparams_search=focusConvMSE_150,model.conv1_channels=9,model.conv1_size=3,model.conv2_channels=6,model.conv2_size=3,model.lin1_size=72,model.lin2_size=72,model.lr=0.005087336593525169,trainer.gpus=0
|
194 |
-
id: '10'
|
195 |
-
num: 10
|
196 |
-
config_name: train.yaml
|
197 |
-
env_set: {}
|
198 |
-
env_copy: []
|
199 |
-
config:
|
200 |
-
override_dirname:
|
201 |
-
kv_sep: '='
|
202 |
-
item_sep: ','
|
203 |
-
exclude_keys: []
|
204 |
-
runtime:
|
205 |
-
version: 1.1.1
|
206 |
-
cwd: /usr/src/app
|
207 |
-
config_sources:
|
208 |
-
- path: hydra.conf
|
209 |
-
schema: pkg
|
210 |
-
provider: hydra
|
211 |
-
- path: /usr/src/app/configs
|
212 |
-
schema: file
|
213 |
-
provider: main
|
214 |
-
- path: hydra_plugins.hydra_colorlog.conf
|
215 |
-
schema: pkg
|
216 |
-
provider: hydra-colorlog
|
217 |
-
- path: ''
|
218 |
-
schema: structured
|
219 |
-
provider: schema
|
220 |
-
choices:
|
221 |
-
local: default.yaml
|
222 |
-
hparams_search: focusConvMSE_150
|
223 |
-
debug: null
|
224 |
-
experiment: null
|
225 |
-
log_dir: default.yaml
|
226 |
-
trainer: long.yaml
|
227 |
-
logger: many_loggers
|
228 |
-
callbacks: default.yaml
|
229 |
-
model: focusConv_150.yaml
|
230 |
-
datamodule: focus150.yaml
|
231 |
-
hydra/env: default
|
232 |
-
hydra/callbacks: null
|
233 |
-
hydra/job_logging: colorlog
|
234 |
-
hydra/hydra_logging: colorlog
|
235 |
-
hydra/hydra_help: default
|
236 |
-
hydra/help: default
|
237 |
-
hydra/sweeper: optuna
|
238 |
-
hydra/sweeper/sampler: tpe
|
239 |
-
hydra/launcher: basic
|
240 |
-
hydra/output: default
|
241 |
-
verbose: false
|
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/.hydra/overrides.yaml
DELETED
@@ -1,10 +0,0 @@
|
|
1 |
-
- datamodule.batch_size=64
|
2 |
-
- model.lr=0.005087336593525169
|
3 |
-
- model.conv1_size=3
|
4 |
-
- model.conv1_channels=9
|
5 |
-
- model.conv2_size=3
|
6 |
-
- model.conv2_channels=6
|
7 |
-
- model.lin1_size=72
|
8 |
-
- model.lin2_size=72
|
9 |
-
- hparams_search=focusConvMSE_150
|
10 |
-
- trainer.gpus=0
|
|
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/csv/version_0/hparams.yaml
DELETED
@@ -1,56 +0,0 @@
|
|
1 |
-
trainer:
|
2 |
-
_target_: pytorch_lightning.Trainer
|
3 |
-
gpus: 0
|
4 |
-
min_epochs: 1
|
5 |
-
max_epochs: 100
|
6 |
-
resume_from_checkpoint: null
|
7 |
-
model:
|
8 |
-
_target_: src.models.focus_conv_module.FocusConvLitModule
|
9 |
-
image_size: 150
|
10 |
-
pool_size: 2
|
11 |
-
conv1_size: 3
|
12 |
-
conv1_channels: 9
|
13 |
-
conv2_size: 3
|
14 |
-
conv2_channels: 6
|
15 |
-
lin1_size: 72
|
16 |
-
lin2_size: 72
|
17 |
-
output_size: 1
|
18 |
-
lr: 0.005087336593525169
|
19 |
-
weight_decay: 0.0005
|
20 |
-
datamodule:
|
21 |
-
_target_: src.datamodules.focus_datamodule.FocusDataModule
|
22 |
-
data_dir: /usr/src/app/data/focus150
|
23 |
-
csv_file: /usr/src/app/data/focus150/metadata.csv
|
24 |
-
batch_size: 64
|
25 |
-
train_val_test_split_percentage:
|
26 |
-
- 0.7
|
27 |
-
- 0.15
|
28 |
-
- 0.15
|
29 |
-
num_workers: 0
|
30 |
-
pin_memory: false
|
31 |
-
seed: null
|
32 |
-
callbacks:
|
33 |
-
model_checkpoint:
|
34 |
-
_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
35 |
-
monitor: val/mae
|
36 |
-
mode: min
|
37 |
-
save_top_k: 1
|
38 |
-
save_last: true
|
39 |
-
verbose: false
|
40 |
-
dirpath: checkpoints/
|
41 |
-
filename: epoch_{epoch:03d}
|
42 |
-
auto_insert_metric_name: false
|
43 |
-
early_stopping:
|
44 |
-
_target_: pytorch_lightning.callbacks.EarlyStopping
|
45 |
-
monitor: val/mae
|
46 |
-
mode: min
|
47 |
-
patience: 100
|
48 |
-
min_delta: 0
|
49 |
-
model_summary:
|
50 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
51 |
-
max_depth: -1
|
52 |
-
rich_progress_bar:
|
53 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
54 |
-
model/params/total: 480481
|
55 |
-
model/params/trainable: 480481
|
56 |
-
model/params/non_trainable: 0
|
|
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/csv/version_0/metrics.csv
DELETED
@@ -1,202 +0,0 @@
|
|
1 |
-
val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae
|
2 |
-
12.736230850219727,3.0627121925354004,1.9613807201385498,0,26,,,,
|
3 |
-
,,,0,26,119.02458953857422,7.125149726867676,,
|
4 |
-
3.4666383266448975,1.4761468172073364,1.4761468172073364,1,53,,,,
|
5 |
-
,,,1,53,4.624202728271484,1.7357127666473389,,
|
6 |
-
3.3763175010681152,1.479070782661438,1.4761468172073364,2,80,,,,
|
7 |
-
,,,2,80,3.558579206466675,1.5639320611953735,,
|
8 |
-
3.3409066200256348,1.481927752494812,1.4761468172073364,3,107,,,,
|
9 |
-
,,,3,107,3.440540075302124,1.537705659866333,,
|
10 |
-
3.3133559226989746,1.4751793146133423,1.4751793146133423,4,134,,,,
|
11 |
-
,,,4,134,3.4508135318756104,1.5388256311416626,,
|
12 |
-
3.30066180229187,1.4675567150115967,1.4675567150115967,5,161,,,,
|
13 |
-
,,,5,161,3.3500447273254395,1.5214476585388184,,
|
14 |
-
3.529127597808838,1.551867127418518,1.4675567150115967,6,188,,,,
|
15 |
-
,,,6,188,3.423269271850586,1.5341967344284058,,
|
16 |
-
3.528038740158081,1.5032001733779907,1.4675567150115967,7,215,,,,
|
17 |
-
,,,7,215,3.5018625259399414,1.5367275476455688,,
|
18 |
-
3.592750310897827,1.563216209411621,1.4675567150115967,8,242,,,,
|
19 |
-
,,,8,242,3.434145450592041,1.5281121730804443,,
|
20 |
-
3.2272307872772217,1.4819709062576294,1.4675567150115967,9,269,,,,
|
21 |
-
,,,9,269,3.262140989303589,1.5061864852905273,,
|
22 |
-
4.333592414855957,1.7591803073883057,1.4675567150115967,10,296,,,,
|
23 |
-
,,,10,296,3.166750431060791,1.4798287153244019,,
|
24 |
-
4.064110279083252,1.669933795928955,1.4675567150115967,11,323,,,,
|
25 |
-
,,,11,323,3.182469129562378,1.4741348028182983,,
|
26 |
-
3.4511260986328125,1.5266629457473755,1.4675567150115967,12,350,,,,
|
27 |
-
,,,12,350,3.279780149459839,1.492153286933899,,
|
28 |
-
2.9645376205444336,1.4038399457931519,1.4038399457931519,13,377,,,,
|
29 |
-
,,,13,377,3.0585579872131348,1.447741985321045,,
|
30 |
-
3.640942096710205,1.6052353382110596,1.4038399457931519,14,404,,,,
|
31 |
-
,,,14,404,2.9734647274017334,1.4196332693099976,,
|
32 |
-
2.880598545074463,1.3755484819412231,1.3755484819412231,15,431,,,,
|
33 |
-
,,,15,431,3.0526387691497803,1.4363526105880737,,
|
34 |
-
2.8992574214935303,1.3860998153686523,1.3755484819412231,16,458,,,,
|
35 |
-
,,,16,458,3.031226634979248,1.4286892414093018,,
|
36 |
-
3.2962114810943604,1.5224428176879883,1.3755484819412231,17,485,,,,
|
37 |
-
,,,17,485,3.043605327606201,1.4266647100448608,,
|
38 |
-
2.7778286933898926,1.3458278179168701,1.3458278179168701,18,512,,,,
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39 |
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,,,18,512,2.762964963912964,1.3781142234802246,,
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40 |
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2.821173906326294,1.3945719003677368,1.3458278179168701,19,539,,,,
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41 |
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42 |
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2.7713518142700195,1.3408068418502808,1.3408068418502808,20,566,,,,
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43 |
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,,,20,566,2.624542713165283,1.3239202499389648,,
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44 |
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2.652765989303589,1.3471473455429077,1.3408068418502808,21,593,,,,
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45 |
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,,,21,593,2.466233253479004,1.2910434007644653,,
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46 |
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2.670645236968994,1.3495670557022095,1.3408068418502808,22,620,,,,
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47 |
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48 |
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2.4547457695007324,1.2558050155639648,1.2558050155639648,23,647,,,,
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49 |
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50 |
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2.7624542713165283,1.3294166326522827,1.2558050155639648,24,674,,,,
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51 |
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,,,24,674,2.4438765048980713,1.2706435918807983,,
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52 |
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3.296875,1.5177466869354248,1.2558050155639648,25,701,,,,
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53 |
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54 |
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2.4238882064819336,1.2740871906280518,1.2558050155639648,26,728,,,,
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55 |
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56 |
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2.4990406036376953,1.2919948101043701,1.2558050155639648,27,755,,,,
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57 |
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2.8004868030548096,1.3831201791763306,1.2558050155639648,28,782,,,,
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60 |
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2.684579372406006,1.2835659980773926,1.2558050155639648,29,809,,,,
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61 |
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62 |
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2.423322916030884,1.2872686386108398,1.2558050155639648,30,836,,,,
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63 |
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64 |
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3.104836940765381,1.463994026184082,1.2558050155639648,31,863,,,,
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65 |
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66 |
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2.700385570526123,1.3484141826629639,1.2558050155639648,32,890,,,,
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67 |
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68 |
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2.8444695472717285,1.3888739347457886,1.2558050155639648,33,917,,,,
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69 |
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,,,33,917,2.2989161014556885,1.2174170017242432,,
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70 |
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3.1763312816619873,1.4558905363082886,1.2558050155639648,34,944,,,,
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71 |
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72 |
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2.4129514694213867,1.2591248750686646,1.2558050155639648,35,971,,,,
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73 |
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74 |
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2.4099016189575195,1.261743426322937,1.2558050155639648,36,998,,,,
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75 |
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76 |
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2.6089417934417725,1.2819699048995972,1.2558050155639648,37,1025,,,,
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77 |
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78 |
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2.4389007091522217,1.3008140325546265,1.2558050155639648,38,1052,,,,
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79 |
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80 |
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2.1319162845611572,1.1705321073532104,1.1705321073532104,39,1079,,,,
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81 |
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82 |
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2.103173017501831,1.174432396888733,1.1705321073532104,40,1106,,,,
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83 |
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84 |
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2.437521457672119,1.230089545249939,1.1705321073532104,41,1133,,,,
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86 |
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2.5086207389831543,1.2744226455688477,1.1705321073532104,42,1160,,,,
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87 |
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88 |
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2.0755198001861572,1.123045802116394,1.123045802116394,43,1187,,,,
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89 |
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90 |
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2.5773019790649414,1.2397279739379883,1.123045802116394,44,1214,,,,
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91 |
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92 |
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2.5100831985473633,1.203391194343567,1.123045802116394,45,1241,,,,
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93 |
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94 |
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2.9497296810150146,1.2948306798934937,1.123045802116394,46,1268,,,,
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95 |
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96 |
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2.008544683456421,1.143496036529541,1.123045802116394,47,1295,,,,
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98 |
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1.8210136890411377,1.0754221677780151,1.0754221677780151,48,1322,,,,
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100 |
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2.244786500930786,1.1933457851409912,1.0754221677780151,49,1349,,,,
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101 |
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102 |
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2.6419997215270996,1.363948941230774,1.0754221677780151,50,1376,,,,
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103 |
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104 |
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1.813366413116455,1.1010410785675049,1.0754221677780151,51,1403,,,,
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105 |
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106 |
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2.4841835498809814,1.2617207765579224,1.0754221677780151,52,1430,,,,
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107 |
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108 |
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3.5291748046875,1.5849723815917969,1.0754221677780151,53,1457,,,,
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109 |
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110 |
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2.2521286010742188,1.2530356645584106,1.0754221677780151,54,1484,,,,
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111 |
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112 |
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1.654593586921692,1.0317585468292236,1.0317585468292236,55,1511,,,,
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113 |
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114 |
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2.4261832237243652,1.2962456941604614,1.0317585468292236,56,1538,,,,
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115 |
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116 |
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118 |
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1.6512583494186401,1.0153743028640747,1.0153743028640747,58,1592,,,,
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119 |
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120 |
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2.2485530376434326,1.2116978168487549,1.0153743028640747,59,1619,,,,
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121 |
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122 |
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2.00325870513916,1.1536929607391357,1.0153743028640747,60,1646,,,,
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123 |
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124 |
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1.4592324495315552,0.9606676697731018,0.9606676697731018,61,1673,,,,
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125 |
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126 |
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1.5106136798858643,0.9599400162696838,0.9599400162696838,62,1700,,,,
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127 |
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128 |
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2.7430057525634766,1.3931177854537964,0.9599400162696838,63,1727,,,,
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129 |
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130 |
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1.8129407167434692,1.0923904180526733,0.9599400162696838,64,1754,,,,
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131 |
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132 |
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1.2161264419555664,0.8794509172439575,0.8794509172439575,65,1781,,,,
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133 |
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134 |
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1.5015313625335693,1.0039480924606323,0.8794509172439575,66,1808,,,,
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135 |
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136 |
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1.271767020225525,0.9052459597587585,0.8794509172439575,67,1835,,,,
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138 |
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1.5711746215820312,0.9787068367004395,0.8794509172439575,68,1862,,,,
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140 |
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1.554753065109253,0.9530460238456726,0.8794509172439575,69,1889,,,,
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141 |
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142 |
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1.1791294813156128,0.8504910469055176,0.8504910469055176,70,1916,,,,
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143 |
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144 |
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1.5602390766143799,1.0235986709594727,0.8504910469055176,71,1943,,,,
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146 |
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1.3722602128982544,0.9186359643936157,0.8504910469055176,72,1970,,,,
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147 |
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148 |
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1.6792851686477661,1.007786750793457,0.8504910469055176,73,1997,,,,
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150 |
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81.21110534667969,7.4440107345581055,0.8504910469055176,74,2024,,,,
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152 |
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87826.671875,290.5313720703125,0.8504910469055176,75,2051,,,,
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153 |
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154 |
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1659.8319091796875,38.22870635986328,0.8504910469055176,76,2078,,,,
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156 |
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23.89470863342285,3.9276840686798096,0.8504910469055176,77,2105,,,,
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158 |
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14.27490234375,2.931810140609741,0.8504910469055176,78,2132,,,,
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159 |
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160 |
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8.58122730255127,2.2642269134521484,0.8504910469055176,79,2159,,,,
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161 |
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162 |
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7.910995006561279,2.1973960399627686,0.8504910469055176,80,2186,,,,
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163 |
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164 |
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7.507176399230957,2.1430883407592773,0.8504910469055176,81,2213,,,,
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165 |
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166 |
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7.057767868041992,2.0781190395355225,0.8504910469055176,82,2240,,,,
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167 |
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168 |
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6.791723728179932,2.042043685913086,0.8504910469055176,83,2267,,,,
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169 |
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170 |
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6.563074588775635,2.010803461074829,0.8504910469055176,84,2294,,,,
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171 |
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172 |
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6.444921970367432,1.9891552925109863,0.8504910469055176,85,2321,,,,
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173 |
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,,,85,2321,6.4219560623168945,2.04923152923584,,
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174 |
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6.237645149230957,1.9582209587097168,0.8504910469055176,86,2348,,,,
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175 |
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176 |
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5.936404228210449,1.915074348449707,0.8504910469055176,87,2375,,,,
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177 |
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178 |
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6.014270305633545,1.9203360080718994,0.8504910469055176,88,2402,,,,
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179 |
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,,,88,2402,5.8275146484375,1.9515233039855957,,
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180 |
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5.894160270690918,1.9019027948379517,0.8504910469055176,89,2429,,,,
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181 |
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,,,89,2429,5.7906413078308105,1.9309396743774414,,
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182 |
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5.525482177734375,1.8537933826446533,0.8504910469055176,90,2456,,,,
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183 |
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,,,90,2456,5.5485029220581055,1.9071108102798462,,
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184 |
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5.35874080657959,1.826189398765564,0.8504910469055176,91,2483,,,,
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185 |
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,,,91,2483,5.420368194580078,1.8836085796356201,,
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186 |
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5.338334560394287,1.8104075193405151,0.8504910469055176,92,2510,,,,
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187 |
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,,,92,2510,5.25501012802124,1.8515214920043945,,
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188 |
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5.095033168792725,1.7792311906814575,0.8504910469055176,93,2537,,,,
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189 |
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,,,93,2537,5.219729900360107,1.8515092134475708,,
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190 |
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4.981170177459717,1.7619882822036743,0.8504910469055176,94,2564,,,,
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191 |
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,,,94,2564,5.032438278198242,1.812652349472046,,
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192 |
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4.898501396179199,1.7455686330795288,0.8504910469055176,95,2591,,,,
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193 |
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,,,95,2591,4.887789249420166,1.7887929677963257,,
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194 |
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4.908392429351807,1.7383315563201904,0.8504910469055176,96,2618,,,,
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195 |
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,,,96,2618,4.846866607666016,1.7811063528060913,,
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196 |
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4.7204108238220215,1.718104600906372,0.8504910469055176,97,2645,,,,
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197 |
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,,,97,2645,4.704916954040527,1.75871741771698,,
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198 |
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4.796905994415283,1.7376221418380737,0.8504910469055176,98,2672,,,,
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199 |
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,,,98,2672,4.651177406311035,1.7479031085968018,,
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200 |
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4.607937335968018,1.70328950881958,0.8504910469055176,99,2699,,,,
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201 |
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,,,99,2699,4.595804691314697,1.7361292839050293,,
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202 |
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,,,71,1917,,,1.2794049978256226,0.8783541917800903
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/10/tensorboard/focusConvMSE_150_hyperparameter_search/hparams.yaml
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trainer:
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_target_: pytorch_lightning.Trainer
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gpus: 0
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min_epochs: 1
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max_epochs: 100
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model:
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_target_: src.models.focus_conv_module.FocusConvLitModule
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image_size: 150
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pool_size: 2
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conv1_size: 3
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conv1_channels: 9
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lin2_size: 72
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output_size: 1
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lr: 0.005087336593525169
|
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weight_decay: 0.0005
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datamodule:
|
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_target_: src.datamodules.focus_datamodule.FocusDataModule
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data_dir: /usr/src/app/data/focus150
|
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csv_file: /usr/src/app/data/focus150/metadata.csv
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batch_size: 64
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train_val_test_split_percentage:
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num_workers: 0
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pin_memory: false
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seed: null
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callbacks:
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model_checkpoint:
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_target_: pytorch_lightning.callbacks.ModelCheckpoint
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monitor: val/mae
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mode: min
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save_top_k: 1
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save_last: true
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verbose: false
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dirpath: checkpoints/
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filename: epoch_{epoch:03d}
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auto_insert_metric_name: false
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early_stopping:
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_target_: pytorch_lightning.callbacks.EarlyStopping
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monitor: val/mae
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mode: min
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patience: 100
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min_delta: 0
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model_summary:
|
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_target_: pytorch_lightning.callbacks.RichModelSummary
|
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max_depth: -1
|
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rich_progress_bar:
|
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_target_: pytorch_lightning.callbacks.RichProgressBar
|
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model/params/total: 480481
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model/params/trainable: 480481
|
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model/params/non_trainable: 0
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/.hydra/config.yaml
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original_work_dir: ${hydra:runtime.cwd}
|
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data_dir: ${original_work_dir}/data
|
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print_config: true
|
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ignore_warnings: true
|
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train: true
|
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test: true
|
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seed: null
|
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name: focusConvMSE_150_hyperparameter_search
|
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datamodule:
|
10 |
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_target_: src.datamodules.focus_datamodule.FocusDataModule
|
11 |
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data_dir: ${data_dir}/focus150
|
12 |
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csv_file: ${data_dir}/focus150/metadata.csv
|
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batch_size: 64
|
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train_val_test_split_percentage:
|
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- 0.7
|
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- 0.15
|
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- 0.15
|
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num_workers: 0
|
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pin_memory: false
|
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model:
|
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_target_: src.models.focus_conv_module.FocusConvLitModule
|
22 |
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image_size: 150
|
23 |
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pool_size: 2
|
24 |
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conv1_size: 3
|
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conv1_channels: 3
|
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conv2_size: 7
|
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conv2_channels: 6
|
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lin1_size: 32
|
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lin2_size: 128
|
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output_size: 1
|
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lr: 0.00010816648299355816
|
32 |
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weight_decay: 0.0005
|
33 |
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callbacks:
|
34 |
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model_checkpoint:
|
35 |
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_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
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monitor: val/mae
|
37 |
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mode: min
|
38 |
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save_top_k: 1
|
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save_last: true
|
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verbose: false
|
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dirpath: checkpoints/
|
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filename: epoch_{epoch:03d}
|
43 |
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auto_insert_metric_name: false
|
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early_stopping:
|
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_target_: pytorch_lightning.callbacks.EarlyStopping
|
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monitor: val/mae
|
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mode: min
|
48 |
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patience: 100
|
49 |
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min_delta: 0
|
50 |
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model_summary:
|
51 |
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_target_: pytorch_lightning.callbacks.RichModelSummary
|
52 |
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max_depth: -1
|
53 |
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rich_progress_bar:
|
54 |
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_target_: pytorch_lightning.callbacks.RichProgressBar
|
55 |
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logger:
|
56 |
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csv:
|
57 |
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_target_: pytorch_lightning.loggers.csv_logs.CSVLogger
|
58 |
-
save_dir: .
|
59 |
-
name: csv/
|
60 |
-
prefix: ''
|
61 |
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tensorboard:
|
62 |
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_target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
|
63 |
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save_dir: tensorboard/
|
64 |
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name: null
|
65 |
-
version: ${name}
|
66 |
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log_graph: false
|
67 |
-
default_hp_metric: true
|
68 |
-
prefix: ''
|
69 |
-
trainer:
|
70 |
-
_target_: pytorch_lightning.Trainer
|
71 |
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gpus: 0
|
72 |
-
min_epochs: 1
|
73 |
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max_epochs: 100
|
74 |
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resume_from_checkpoint: null
|
75 |
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optimized_metric: val/mae_best
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/.hydra/hydra.yaml
DELETED
@@ -1,241 +0,0 @@
|
|
1 |
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hydra:
|
2 |
-
run:
|
3 |
-
dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
4 |
-
sweep:
|
5 |
-
dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
6 |
-
subdir: ${hydra.job.num}
|
7 |
-
launcher:
|
8 |
-
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
-
sweeper:
|
10 |
-
sampler:
|
11 |
-
_target_: optuna.samplers.TPESampler
|
12 |
-
seed: 12345
|
13 |
-
consider_prior: true
|
14 |
-
prior_weight: 1.0
|
15 |
-
consider_magic_clip: true
|
16 |
-
consider_endpoints: false
|
17 |
-
n_startup_trials: 10
|
18 |
-
n_ei_candidates: 24
|
19 |
-
multivariate: false
|
20 |
-
warn_independent_sampling: true
|
21 |
-
_target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
|
22 |
-
direction: minimize
|
23 |
-
storage: null
|
24 |
-
study_name: focusConvMSE_150_hyperparameter_search
|
25 |
-
n_trials: 20
|
26 |
-
n_jobs: 1
|
27 |
-
search_space:
|
28 |
-
datamodule.batch_size:
|
29 |
-
type: categorical
|
30 |
-
choices:
|
31 |
-
- 64
|
32 |
-
- 128
|
33 |
-
model.lr:
|
34 |
-
type: float
|
35 |
-
low: 0.0001
|
36 |
-
high: 0.01
|
37 |
-
model.conv1_size:
|
38 |
-
type: categorical
|
39 |
-
choices:
|
40 |
-
- 3
|
41 |
-
- 5
|
42 |
-
- 7
|
43 |
-
model.conv1_channels:
|
44 |
-
type: categorical
|
45 |
-
choices:
|
46 |
-
- 3
|
47 |
-
- 6
|
48 |
-
- 9
|
49 |
-
model.conv2_size:
|
50 |
-
type: categorical
|
51 |
-
choices:
|
52 |
-
- 3
|
53 |
-
- 5
|
54 |
-
- 7
|
55 |
-
model.conv2_channels:
|
56 |
-
type: categorical
|
57 |
-
choices:
|
58 |
-
- 6
|
59 |
-
- 11
|
60 |
-
- 16
|
61 |
-
model.lin1_size:
|
62 |
-
type: categorical
|
63 |
-
choices:
|
64 |
-
- 32
|
65 |
-
- 72
|
66 |
-
- 128
|
67 |
-
model.lin2_size:
|
68 |
-
type: categorical
|
69 |
-
choices:
|
70 |
-
- 32
|
71 |
-
- 72
|
72 |
-
- 128
|
73 |
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help:
|
74 |
-
app_name: ${hydra.job.name}
|
75 |
-
header: '${hydra.help.app_name} is powered by Hydra.
|
76 |
-
|
77 |
-
'
|
78 |
-
footer: 'Powered by Hydra (https://hydra.cc)
|
79 |
-
|
80 |
-
Use --hydra-help to view Hydra specific help
|
81 |
-
|
82 |
-
'
|
83 |
-
template: '${hydra.help.header}
|
84 |
-
|
85 |
-
== Configuration groups ==
|
86 |
-
|
87 |
-
Compose your configuration from those groups (group=option)
|
88 |
-
|
89 |
-
|
90 |
-
$APP_CONFIG_GROUPS
|
91 |
-
|
92 |
-
|
93 |
-
== Config ==
|
94 |
-
|
95 |
-
Override anything in the config (foo.bar=value)
|
96 |
-
|
97 |
-
|
98 |
-
$CONFIG
|
99 |
-
|
100 |
-
|
101 |
-
${hydra.help.footer}
|
102 |
-
|
103 |
-
'
|
104 |
-
hydra_help:
|
105 |
-
template: 'Hydra (${hydra.runtime.version})
|
106 |
-
|
107 |
-
See https://hydra.cc for more info.
|
108 |
-
|
109 |
-
|
110 |
-
== Flags ==
|
111 |
-
|
112 |
-
$FLAGS_HELP
|
113 |
-
|
114 |
-
|
115 |
-
== Configuration groups ==
|
116 |
-
|
117 |
-
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
118 |
-
to command line)
|
119 |
-
|
120 |
-
|
121 |
-
$HYDRA_CONFIG_GROUPS
|
122 |
-
|
123 |
-
|
124 |
-
Use ''--cfg hydra'' to Show the Hydra config.
|
125 |
-
|
126 |
-
'
|
127 |
-
hydra_help: ???
|
128 |
-
hydra_logging:
|
129 |
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version: 1
|
130 |
-
formatters:
|
131 |
-
colorlog:
|
132 |
-
(): colorlog.ColoredFormatter
|
133 |
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format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
134 |
-
handlers:
|
135 |
-
console:
|
136 |
-
class: logging.StreamHandler
|
137 |
-
formatter: colorlog
|
138 |
-
stream: ext://sys.stdout
|
139 |
-
root:
|
140 |
-
level: INFO
|
141 |
-
handlers:
|
142 |
-
- console
|
143 |
-
disable_existing_loggers: false
|
144 |
-
job_logging:
|
145 |
-
version: 1
|
146 |
-
formatters:
|
147 |
-
simple:
|
148 |
-
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
149 |
-
colorlog:
|
150 |
-
(): colorlog.ColoredFormatter
|
151 |
-
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
152 |
-
- %(message)s'
|
153 |
-
log_colors:
|
154 |
-
DEBUG: purple
|
155 |
-
INFO: green
|
156 |
-
WARNING: yellow
|
157 |
-
ERROR: red
|
158 |
-
CRITICAL: red
|
159 |
-
handlers:
|
160 |
-
console:
|
161 |
-
class: logging.StreamHandler
|
162 |
-
formatter: colorlog
|
163 |
-
stream: ext://sys.stdout
|
164 |
-
file:
|
165 |
-
class: logging.FileHandler
|
166 |
-
formatter: simple
|
167 |
-
filename: ${hydra.job.name}.log
|
168 |
-
root:
|
169 |
-
level: INFO
|
170 |
-
handlers:
|
171 |
-
- console
|
172 |
-
- file
|
173 |
-
disable_existing_loggers: false
|
174 |
-
env: {}
|
175 |
-
searchpath: []
|
176 |
-
callbacks: {}
|
177 |
-
output_subdir: .hydra
|
178 |
-
overrides:
|
179 |
-
hydra: []
|
180 |
-
task:
|
181 |
-
- datamodule.batch_size=64
|
182 |
-
- model.lr=0.00010816648299355816
|
183 |
-
- model.conv1_size=3
|
184 |
-
- model.conv1_channels=3
|
185 |
-
- model.conv2_size=7
|
186 |
-
- model.conv2_channels=6
|
187 |
-
- model.lin1_size=32
|
188 |
-
- model.lin2_size=128
|
189 |
-
- hparams_search=focusConvMSE_150
|
190 |
-
- trainer.gpus=0
|
191 |
-
job:
|
192 |
-
name: train
|
193 |
-
override_dirname: datamodule.batch_size=64,hparams_search=focusConvMSE_150,model.conv1_channels=3,model.conv1_size=3,model.conv2_channels=6,model.conv2_size=7,model.lin1_size=32,model.lin2_size=128,model.lr=0.00010816648299355816,trainer.gpus=0
|
194 |
-
id: '11'
|
195 |
-
num: 11
|
196 |
-
config_name: train.yaml
|
197 |
-
env_set: {}
|
198 |
-
env_copy: []
|
199 |
-
config:
|
200 |
-
override_dirname:
|
201 |
-
kv_sep: '='
|
202 |
-
item_sep: ','
|
203 |
-
exclude_keys: []
|
204 |
-
runtime:
|
205 |
-
version: 1.1.1
|
206 |
-
cwd: /usr/src/app
|
207 |
-
config_sources:
|
208 |
-
- path: hydra.conf
|
209 |
-
schema: pkg
|
210 |
-
provider: hydra
|
211 |
-
- path: /usr/src/app/configs
|
212 |
-
schema: file
|
213 |
-
provider: main
|
214 |
-
- path: hydra_plugins.hydra_colorlog.conf
|
215 |
-
schema: pkg
|
216 |
-
provider: hydra-colorlog
|
217 |
-
- path: ''
|
218 |
-
schema: structured
|
219 |
-
provider: schema
|
220 |
-
choices:
|
221 |
-
local: default.yaml
|
222 |
-
hparams_search: focusConvMSE_150
|
223 |
-
debug: null
|
224 |
-
experiment: null
|
225 |
-
log_dir: default.yaml
|
226 |
-
trainer: long.yaml
|
227 |
-
logger: many_loggers
|
228 |
-
callbacks: default.yaml
|
229 |
-
model: focusConv_150.yaml
|
230 |
-
datamodule: focus150.yaml
|
231 |
-
hydra/env: default
|
232 |
-
hydra/callbacks: null
|
233 |
-
hydra/job_logging: colorlog
|
234 |
-
hydra/hydra_logging: colorlog
|
235 |
-
hydra/hydra_help: default
|
236 |
-
hydra/help: default
|
237 |
-
hydra/sweeper: optuna
|
238 |
-
hydra/sweeper/sampler: tpe
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hydra/launcher: basic
|
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hydra/output: default
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verbose: false
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/.hydra/overrides.yaml
DELETED
@@ -1,10 +0,0 @@
|
|
1 |
-
- datamodule.batch_size=64
|
2 |
-
- model.lr=0.00010816648299355816
|
3 |
-
- model.conv1_size=3
|
4 |
-
- model.conv1_channels=3
|
5 |
-
- model.conv2_size=7
|
6 |
-
- model.conv2_channels=6
|
7 |
-
- model.lin1_size=32
|
8 |
-
- model.lin2_size=128
|
9 |
-
- hparams_search=focusConvMSE_150
|
10 |
-
- trainer.gpus=0
|
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/csv/version_0/hparams.yaml
DELETED
@@ -1,56 +0,0 @@
|
|
1 |
-
trainer:
|
2 |
-
_target_: pytorch_lightning.Trainer
|
3 |
-
gpus: 0
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4 |
-
min_epochs: 1
|
5 |
-
max_epochs: 100
|
6 |
-
resume_from_checkpoint: null
|
7 |
-
model:
|
8 |
-
_target_: src.models.focus_conv_module.FocusConvLitModule
|
9 |
-
image_size: 150
|
10 |
-
pool_size: 2
|
11 |
-
conv1_size: 3
|
12 |
-
conv1_channels: 3
|
13 |
-
conv2_size: 7
|
14 |
-
conv2_channels: 6
|
15 |
-
lin1_size: 32
|
16 |
-
lin2_size: 128
|
17 |
-
output_size: 1
|
18 |
-
lr: 0.00010816648299355816
|
19 |
-
weight_decay: 0.0005
|
20 |
-
datamodule:
|
21 |
-
_target_: src.datamodules.focus_datamodule.FocusDataModule
|
22 |
-
data_dir: /usr/src/app/data/focus150
|
23 |
-
csv_file: /usr/src/app/data/focus150/metadata.csv
|
24 |
-
batch_size: 64
|
25 |
-
train_val_test_split_percentage:
|
26 |
-
- 0.7
|
27 |
-
- 0.15
|
28 |
-
- 0.15
|
29 |
-
num_workers: 0
|
30 |
-
pin_memory: false
|
31 |
-
seed: null
|
32 |
-
callbacks:
|
33 |
-
model_checkpoint:
|
34 |
-
_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
35 |
-
monitor: val/mae
|
36 |
-
mode: min
|
37 |
-
save_top_k: 1
|
38 |
-
save_last: true
|
39 |
-
verbose: false
|
40 |
-
dirpath: checkpoints/
|
41 |
-
filename: epoch_{epoch:03d}
|
42 |
-
auto_insert_metric_name: false
|
43 |
-
early_stopping:
|
44 |
-
_target_: pytorch_lightning.callbacks.EarlyStopping
|
45 |
-
monitor: val/mae
|
46 |
-
mode: min
|
47 |
-
patience: 100
|
48 |
-
min_delta: 0
|
49 |
-
model_summary:
|
50 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
51 |
-
max_depth: -1
|
52 |
-
rich_progress_bar:
|
53 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
54 |
-
model/params/total: 253469
|
55 |
-
model/params/trainable: 253469
|
56 |
-
model/params/non_trainable: 0
|
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/11/csv/version_0/metrics.csv
DELETED
@@ -1,202 +0,0 @@
|
|
1 |
-
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logger:
|
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csv:
|
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_target_: pytorch_lightning.loggers.csv_logs.CSVLogger
|
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save_dir: .
|
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name: csv/
|
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prefix: ''
|
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tensorboard:
|
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_target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
|
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save_dir: tensorboard/
|
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name: null
|
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version: ${name}
|
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log_graph: false
|
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default_hp_metric: true
|
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prefix: ''
|
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trainer:
|
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_target_: pytorch_lightning.Trainer
|
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gpus: 0
|
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min_epochs: 1
|
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max_epochs: 100
|
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resume_from_checkpoint: null
|
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optimized_metric: val/mae_best
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/.hydra/hydra.yaml
DELETED
@@ -1,241 +0,0 @@
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|
1 |
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hydra:
|
2 |
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run:
|
3 |
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dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
4 |
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sweep:
|
5 |
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dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
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subdir: ${hydra.job.num}
|
7 |
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launcher:
|
8 |
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_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
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sweeper:
|
10 |
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sampler:
|
11 |
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_target_: optuna.samplers.TPESampler
|
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seed: 12345
|
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consider_prior: true
|
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prior_weight: 1.0
|
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consider_magic_clip: true
|
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consider_endpoints: false
|
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n_startup_trials: 10
|
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n_ei_candidates: 24
|
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multivariate: false
|
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warn_independent_sampling: true
|
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_target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
|
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direction: minimize
|
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storage: null
|
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study_name: focusConvMSE_150_hyperparameter_search
|
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n_trials: 20
|
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n_jobs: 1
|
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search_space:
|
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datamodule.batch_size:
|
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type: categorical
|
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choices:
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- 64
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|
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model.lr:
|
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type: float
|
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low: 0.0001
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high: 0.01
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model.conv1_size:
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type: categorical
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choices:
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choices:
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type: categorical
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choices:
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choices:
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model.lin1_size:
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type: categorical
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choices:
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type: categorical
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choices:
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app_name: ${hydra.job.name}
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|
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'
|
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footer: 'Powered by Hydra (https://hydra.cc)
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Use --hydra-help to view Hydra specific help
|
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|
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'
|
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template: '${hydra.help.header}
|
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|
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== Configuration groups ==
|
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Compose your configuration from those groups (group=option)
|
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$APP_CONFIG_GROUPS
|
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== Config ==
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Override anything in the config (foo.bar=value)
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$CONFIG
|
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${hydra.help.footer}
|
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|
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'
|
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hydra_help:
|
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template: 'Hydra (${hydra.runtime.version})
|
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|
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See https://hydra.cc for more info.
|
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|
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|
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== Flags ==
|
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|
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$FLAGS_HELP
|
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|
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== Configuration groups ==
|
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|
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Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
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to command line)
|
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$HYDRA_CONFIG_GROUPS
|
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Use ''--cfg hydra'' to Show the Hydra config.
|
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|
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'
|
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hydra_help: ???
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hydra_logging:
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version: 1
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formatters:
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colorlog:
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(): colorlog.ColoredFormatter
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format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
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handlers:
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console:
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class: logging.StreamHandler
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formatter: colorlog
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stream: ext://sys.stdout
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root:
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level: INFO
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handlers:
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- console
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disable_existing_loggers: false
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job_logging:
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version: 1
|
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formatters:
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simple:
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format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
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colorlog:
|
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(): colorlog.ColoredFormatter
|
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format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
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- %(message)s'
|
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log_colors:
|
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DEBUG: purple
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INFO: green
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WARNING: yellow
|
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ERROR: red
|
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CRITICAL: red
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handlers:
|
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console:
|
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class: logging.StreamHandler
|
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formatter: colorlog
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stream: ext://sys.stdout
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file:
|
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class: logging.FileHandler
|
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formatter: simple
|
167 |
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filename: ${hydra.job.name}.log
|
168 |
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root:
|
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level: INFO
|
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handlers:
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- console
|
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- file
|
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disable_existing_loggers: false
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env: {}
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searchpath: []
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callbacks: {}
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output_subdir: .hydra
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overrides:
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hydra: []
|
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task:
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- datamodule.batch_size=64
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- model.lr=0.00010464412462087176
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- model.conv1_size=5
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job:
|
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name: train
|
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override_dirname: datamodule.batch_size=64,hparams_search=focusConvMSE_150,model.conv1_channels=3,model.conv1_size=5,model.conv2_channels=6,model.conv2_size=7,model.lin1_size=32,model.lin2_size=128,model.lr=0.00010464412462087176,trainer.gpus=0
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id: '12'
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num: 12
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env_set: {}
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env_copy: []
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override_dirname:
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kv_sep: '='
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item_sep: ','
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exclude_keys: []
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runtime:
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version: 1.1.1
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cwd: /usr/src/app
|
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config_sources:
|
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schema: pkg
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provider: hydra
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- path: /usr/src/app/configs
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schema: file
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provider: main
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schema: pkg
|
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provider: hydra-colorlog
|
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- path: ''
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schema: structured
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provider: schema
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choices:
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local: default.yaml
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hparams_search: focusConvMSE_150
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debug: null
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experiment: null
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log_dir: default.yaml
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trainer: long.yaml
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logger: many_loggers
|
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callbacks: default.yaml
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model: focusConv_150.yaml
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datamodule: focus150.yaml
|
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hydra/env: default
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hydra/callbacks: null
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hydra/job_logging: colorlog
|
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hydra/hydra_logging: colorlog
|
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hydra/hydra_help: default
|
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hydra/help: default
|
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hydra/sweeper: optuna
|
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hydra/sweeper/sampler: tpe
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hydra/launcher: basic
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hydra/output: default
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verbose: false
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/.hydra/overrides.yaml
DELETED
@@ -1,10 +0,0 @@
|
|
1 |
-
- datamodule.batch_size=64
|
2 |
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- model.lr=0.00010464412462087176
|
3 |
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- model.conv1_size=5
|
4 |
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- model.conv1_channels=3
|
5 |
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- model.conv2_size=7
|
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- model.conv2_channels=6
|
7 |
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- model.lin1_size=32
|
8 |
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- model.lin2_size=128
|
9 |
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- hparams_search=focusConvMSE_150
|
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- trainer.gpus=0
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/csv/version_0/hparams.yaml
DELETED
@@ -1,56 +0,0 @@
|
|
1 |
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trainer:
|
2 |
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_target_: pytorch_lightning.Trainer
|
3 |
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gpus: 0
|
4 |
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min_epochs: 1
|
5 |
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max_epochs: 100
|
6 |
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resume_from_checkpoint: null
|
7 |
-
model:
|
8 |
-
_target_: src.models.focus_conv_module.FocusConvLitModule
|
9 |
-
image_size: 150
|
10 |
-
pool_size: 2
|
11 |
-
conv1_size: 5
|
12 |
-
conv1_channels: 3
|
13 |
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conv2_size: 7
|
14 |
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conv2_channels: 6
|
15 |
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lin1_size: 32
|
16 |
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lin2_size: 128
|
17 |
-
output_size: 1
|
18 |
-
lr: 0.00010464412462087176
|
19 |
-
weight_decay: 0.0005
|
20 |
-
datamodule:
|
21 |
-
_target_: src.datamodules.focus_datamodule.FocusDataModule
|
22 |
-
data_dir: /usr/src/app/data/focus150
|
23 |
-
csv_file: /usr/src/app/data/focus150/metadata.csv
|
24 |
-
batch_size: 64
|
25 |
-
train_val_test_split_percentage:
|
26 |
-
- 0.7
|
27 |
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- 0.15
|
28 |
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- 0.15
|
29 |
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num_workers: 0
|
30 |
-
pin_memory: false
|
31 |
-
seed: null
|
32 |
-
callbacks:
|
33 |
-
model_checkpoint:
|
34 |
-
_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
35 |
-
monitor: val/mae
|
36 |
-
mode: min
|
37 |
-
save_top_k: 1
|
38 |
-
save_last: true
|
39 |
-
verbose: false
|
40 |
-
dirpath: checkpoints/
|
41 |
-
filename: epoch_{epoch:03d}
|
42 |
-
auto_insert_metric_name: false
|
43 |
-
early_stopping:
|
44 |
-
_target_: pytorch_lightning.callbacks.EarlyStopping
|
45 |
-
monitor: val/mae
|
46 |
-
mode: min
|
47 |
-
patience: 100
|
48 |
-
min_delta: 0
|
49 |
-
model_summary:
|
50 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
51 |
-
max_depth: -1
|
52 |
-
rich_progress_bar:
|
53 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
54 |
-
model/params/total: 239981
|
55 |
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model/params/trainable: 239981
|
56 |
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model/params/non_trainable: 0
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/csv/version_0/metrics.csv
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/tensorboard/focusConvMSE_150_hyperparameter_search/events.out.tfevents.1647026046.8aeae21f0ff6.1.24
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/12/tensorboard/focusConvMSE_150_hyperparameter_search/hparams.yaml
DELETED
@@ -1,56 +0,0 @@
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trainer:
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2 |
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_target_: pytorch_lightning.Trainer
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gpus: 0
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min_epochs: 1
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_target_: src.models.focus_conv_module.FocusConvLitModule
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11 |
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conv1_channels: 3
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13 |
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conv2_size: 7
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15 |
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lin1_size: 32
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lin2_size: 128
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output_size: 1
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lr: 0.00010464412462087176
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19 |
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weight_decay: 0.0005
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20 |
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datamodule:
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21 |
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_target_: src.datamodules.focus_datamodule.FocusDataModule
|
22 |
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data_dir: /usr/src/app/data/focus150
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23 |
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csv_file: /usr/src/app/data/focus150/metadata.csv
|
24 |
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batch_size: 64
|
25 |
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train_val_test_split_percentage:
|
26 |
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- 0.7
|
27 |
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- 0.15
|
28 |
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- 0.15
|
29 |
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num_workers: 0
|
30 |
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pin_memory: false
|
31 |
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seed: null
|
32 |
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callbacks:
|
33 |
-
model_checkpoint:
|
34 |
-
_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
35 |
-
monitor: val/mae
|
36 |
-
mode: min
|
37 |
-
save_top_k: 1
|
38 |
-
save_last: true
|
39 |
-
verbose: false
|
40 |
-
dirpath: checkpoints/
|
41 |
-
filename: epoch_{epoch:03d}
|
42 |
-
auto_insert_metric_name: false
|
43 |
-
early_stopping:
|
44 |
-
_target_: pytorch_lightning.callbacks.EarlyStopping
|
45 |
-
monitor: val/mae
|
46 |
-
mode: min
|
47 |
-
patience: 100
|
48 |
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min_delta: 0
|
49 |
-
model_summary:
|
50 |
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_target_: pytorch_lightning.callbacks.RichModelSummary
|
51 |
-
max_depth: -1
|
52 |
-
rich_progress_bar:
|
53 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
54 |
-
model/params/total: 239981
|
55 |
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model/params/trainable: 239981
|
56 |
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model/params/non_trainable: 0
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/.hydra/config.yaml
DELETED
@@ -1,75 +0,0 @@
|
|
1 |
-
original_work_dir: ${hydra:runtime.cwd}
|
2 |
-
data_dir: ${original_work_dir}/data
|
3 |
-
print_config: true
|
4 |
-
ignore_warnings: true
|
5 |
-
train: true
|
6 |
-
test: true
|
7 |
-
seed: null
|
8 |
-
name: focusConvMSE_150_hyperparameter_search
|
9 |
-
datamodule:
|
10 |
-
_target_: src.datamodules.focus_datamodule.FocusDataModule
|
11 |
-
data_dir: ${data_dir}/focus150
|
12 |
-
csv_file: ${data_dir}/focus150/metadata.csv
|
13 |
-
batch_size: 64
|
14 |
-
train_val_test_split_percentage:
|
15 |
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|
16 |
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- 0.15
|
17 |
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- 0.15
|
18 |
-
num_workers: 0
|
19 |
-
pin_memory: false
|
20 |
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model:
|
21 |
-
_target_: src.models.focus_conv_module.FocusConvLitModule
|
22 |
-
image_size: 150
|
23 |
-
pool_size: 2
|
24 |
-
conv1_size: 5
|
25 |
-
conv1_channels: 3
|
26 |
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conv2_size: 7
|
27 |
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conv2_channels: 6
|
28 |
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lin1_size: 72
|
29 |
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lin2_size: 128
|
30 |
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output_size: 1
|
31 |
-
lr: 0.001629522971013559
|
32 |
-
weight_decay: 0.0005
|
33 |
-
callbacks:
|
34 |
-
model_checkpoint:
|
35 |
-
_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
36 |
-
monitor: val/mae
|
37 |
-
mode: min
|
38 |
-
save_top_k: 1
|
39 |
-
save_last: true
|
40 |
-
verbose: false
|
41 |
-
dirpath: checkpoints/
|
42 |
-
filename: epoch_{epoch:03d}
|
43 |
-
auto_insert_metric_name: false
|
44 |
-
early_stopping:
|
45 |
-
_target_: pytorch_lightning.callbacks.EarlyStopping
|
46 |
-
monitor: val/mae
|
47 |
-
mode: min
|
48 |
-
patience: 100
|
49 |
-
min_delta: 0
|
50 |
-
model_summary:
|
51 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
52 |
-
max_depth: -1
|
53 |
-
rich_progress_bar:
|
54 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
55 |
-
logger:
|
56 |
-
csv:
|
57 |
-
_target_: pytorch_lightning.loggers.csv_logs.CSVLogger
|
58 |
-
save_dir: .
|
59 |
-
name: csv/
|
60 |
-
prefix: ''
|
61 |
-
tensorboard:
|
62 |
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_target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
|
63 |
-
save_dir: tensorboard/
|
64 |
-
name: null
|
65 |
-
version: ${name}
|
66 |
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log_graph: false
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67 |
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default_hp_metric: true
|
68 |
-
prefix: ''
|
69 |
-
trainer:
|
70 |
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_target_: pytorch_lightning.Trainer
|
71 |
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gpus: 0
|
72 |
-
min_epochs: 1
|
73 |
-
max_epochs: 100
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74 |
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resume_from_checkpoint: null
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75 |
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optimized_metric: val/mae_best
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/.hydra/hydra.yaml
DELETED
@@ -1,241 +0,0 @@
|
|
1 |
-
hydra:
|
2 |
-
run:
|
3 |
-
dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
4 |
-
sweep:
|
5 |
-
dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
6 |
-
subdir: ${hydra.job.num}
|
7 |
-
launcher:
|
8 |
-
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
-
sweeper:
|
10 |
-
sampler:
|
11 |
-
_target_: optuna.samplers.TPESampler
|
12 |
-
seed: 12345
|
13 |
-
consider_prior: true
|
14 |
-
prior_weight: 1.0
|
15 |
-
consider_magic_clip: true
|
16 |
-
consider_endpoints: false
|
17 |
-
n_startup_trials: 10
|
18 |
-
n_ei_candidates: 24
|
19 |
-
multivariate: false
|
20 |
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warn_independent_sampling: true
|
21 |
-
_target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
|
22 |
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direction: minimize
|
23 |
-
storage: null
|
24 |
-
study_name: focusConvMSE_150_hyperparameter_search
|
25 |
-
n_trials: 20
|
26 |
-
n_jobs: 1
|
27 |
-
search_space:
|
28 |
-
datamodule.batch_size:
|
29 |
-
type: categorical
|
30 |
-
choices:
|
31 |
-
- 64
|
32 |
-
- 128
|
33 |
-
model.lr:
|
34 |
-
type: float
|
35 |
-
low: 0.0001
|
36 |
-
high: 0.01
|
37 |
-
model.conv1_size:
|
38 |
-
type: categorical
|
39 |
-
choices:
|
40 |
-
- 3
|
41 |
-
- 5
|
42 |
-
- 7
|
43 |
-
model.conv1_channels:
|
44 |
-
type: categorical
|
45 |
-
choices:
|
46 |
-
- 3
|
47 |
-
- 6
|
48 |
-
- 9
|
49 |
-
model.conv2_size:
|
50 |
-
type: categorical
|
51 |
-
choices:
|
52 |
-
- 3
|
53 |
-
- 5
|
54 |
-
- 7
|
55 |
-
model.conv2_channels:
|
56 |
-
type: categorical
|
57 |
-
choices:
|
58 |
-
- 6
|
59 |
-
- 11
|
60 |
-
- 16
|
61 |
-
model.lin1_size:
|
62 |
-
type: categorical
|
63 |
-
choices:
|
64 |
-
- 32
|
65 |
-
- 72
|
66 |
-
- 128
|
67 |
-
model.lin2_size:
|
68 |
-
type: categorical
|
69 |
-
choices:
|
70 |
-
- 32
|
71 |
-
- 72
|
72 |
-
- 128
|
73 |
-
help:
|
74 |
-
app_name: ${hydra.job.name}
|
75 |
-
header: '${hydra.help.app_name} is powered by Hydra.
|
76 |
-
|
77 |
-
'
|
78 |
-
footer: 'Powered by Hydra (https://hydra.cc)
|
79 |
-
|
80 |
-
Use --hydra-help to view Hydra specific help
|
81 |
-
|
82 |
-
'
|
83 |
-
template: '${hydra.help.header}
|
84 |
-
|
85 |
-
== Configuration groups ==
|
86 |
-
|
87 |
-
Compose your configuration from those groups (group=option)
|
88 |
-
|
89 |
-
|
90 |
-
$APP_CONFIG_GROUPS
|
91 |
-
|
92 |
-
|
93 |
-
== Config ==
|
94 |
-
|
95 |
-
Override anything in the config (foo.bar=value)
|
96 |
-
|
97 |
-
|
98 |
-
$CONFIG
|
99 |
-
|
100 |
-
|
101 |
-
${hydra.help.footer}
|
102 |
-
|
103 |
-
'
|
104 |
-
hydra_help:
|
105 |
-
template: 'Hydra (${hydra.runtime.version})
|
106 |
-
|
107 |
-
See https://hydra.cc for more info.
|
108 |
-
|
109 |
-
|
110 |
-
== Flags ==
|
111 |
-
|
112 |
-
$FLAGS_HELP
|
113 |
-
|
114 |
-
|
115 |
-
== Configuration groups ==
|
116 |
-
|
117 |
-
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
118 |
-
to command line)
|
119 |
-
|
120 |
-
|
121 |
-
$HYDRA_CONFIG_GROUPS
|
122 |
-
|
123 |
-
|
124 |
-
Use ''--cfg hydra'' to Show the Hydra config.
|
125 |
-
|
126 |
-
'
|
127 |
-
hydra_help: ???
|
128 |
-
hydra_logging:
|
129 |
-
version: 1
|
130 |
-
formatters:
|
131 |
-
colorlog:
|
132 |
-
(): colorlog.ColoredFormatter
|
133 |
-
format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
134 |
-
handlers:
|
135 |
-
console:
|
136 |
-
class: logging.StreamHandler
|
137 |
-
formatter: colorlog
|
138 |
-
stream: ext://sys.stdout
|
139 |
-
root:
|
140 |
-
level: INFO
|
141 |
-
handlers:
|
142 |
-
- console
|
143 |
-
disable_existing_loggers: false
|
144 |
-
job_logging:
|
145 |
-
version: 1
|
146 |
-
formatters:
|
147 |
-
simple:
|
148 |
-
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
149 |
-
colorlog:
|
150 |
-
(): colorlog.ColoredFormatter
|
151 |
-
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
152 |
-
- %(message)s'
|
153 |
-
log_colors:
|
154 |
-
DEBUG: purple
|
155 |
-
INFO: green
|
156 |
-
WARNING: yellow
|
157 |
-
ERROR: red
|
158 |
-
CRITICAL: red
|
159 |
-
handlers:
|
160 |
-
console:
|
161 |
-
class: logging.StreamHandler
|
162 |
-
formatter: colorlog
|
163 |
-
stream: ext://sys.stdout
|
164 |
-
file:
|
165 |
-
class: logging.FileHandler
|
166 |
-
formatter: simple
|
167 |
-
filename: ${hydra.job.name}.log
|
168 |
-
root:
|
169 |
-
level: INFO
|
170 |
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handlers:
|
171 |
-
- console
|
172 |
-
- file
|
173 |
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disable_existing_loggers: false
|
174 |
-
env: {}
|
175 |
-
searchpath: []
|
176 |
-
callbacks: {}
|
177 |
-
output_subdir: .hydra
|
178 |
-
overrides:
|
179 |
-
hydra: []
|
180 |
-
task:
|
181 |
-
- datamodule.batch_size=64
|
182 |
-
- model.lr=0.001629522971013559
|
183 |
-
- model.conv1_size=5
|
184 |
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- model.conv1_channels=3
|
185 |
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- model.conv2_size=7
|
186 |
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- model.conv2_channels=6
|
187 |
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- model.lin1_size=72
|
188 |
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- model.lin2_size=128
|
189 |
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- hparams_search=focusConvMSE_150
|
190 |
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- trainer.gpus=0
|
191 |
-
job:
|
192 |
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name: train
|
193 |
-
override_dirname: datamodule.batch_size=64,hparams_search=focusConvMSE_150,model.conv1_channels=3,model.conv1_size=5,model.conv2_channels=6,model.conv2_size=7,model.lin1_size=72,model.lin2_size=128,model.lr=0.001629522971013559,trainer.gpus=0
|
194 |
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id: '13'
|
195 |
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num: 13
|
196 |
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config_name: train.yaml
|
197 |
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env_set: {}
|
198 |
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env_copy: []
|
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config:
|
200 |
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override_dirname:
|
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kv_sep: '='
|
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item_sep: ','
|
203 |
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exclude_keys: []
|
204 |
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runtime:
|
205 |
-
version: 1.1.1
|
206 |
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cwd: /usr/src/app
|
207 |
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config_sources:
|
208 |
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- path: hydra.conf
|
209 |
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schema: pkg
|
210 |
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provider: hydra
|
211 |
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- path: /usr/src/app/configs
|
212 |
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schema: file
|
213 |
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provider: main
|
214 |
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- path: hydra_plugins.hydra_colorlog.conf
|
215 |
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schema: pkg
|
216 |
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provider: hydra-colorlog
|
217 |
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- path: ''
|
218 |
-
schema: structured
|
219 |
-
provider: schema
|
220 |
-
choices:
|
221 |
-
local: default.yaml
|
222 |
-
hparams_search: focusConvMSE_150
|
223 |
-
debug: null
|
224 |
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experiment: null
|
225 |
-
log_dir: default.yaml
|
226 |
-
trainer: long.yaml
|
227 |
-
logger: many_loggers
|
228 |
-
callbacks: default.yaml
|
229 |
-
model: focusConv_150.yaml
|
230 |
-
datamodule: focus150.yaml
|
231 |
-
hydra/env: default
|
232 |
-
hydra/callbacks: null
|
233 |
-
hydra/job_logging: colorlog
|
234 |
-
hydra/hydra_logging: colorlog
|
235 |
-
hydra/hydra_help: default
|
236 |
-
hydra/help: default
|
237 |
-
hydra/sweeper: optuna
|
238 |
-
hydra/sweeper/sampler: tpe
|
239 |
-
hydra/launcher: basic
|
240 |
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hydra/output: default
|
241 |
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verbose: false
|
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/.hydra/overrides.yaml
DELETED
@@ -1,10 +0,0 @@
|
|
1 |
-
- datamodule.batch_size=64
|
2 |
-
- model.lr=0.001629522971013559
|
3 |
-
- model.conv1_size=5
|
4 |
-
- model.conv1_channels=3
|
5 |
-
- model.conv2_size=7
|
6 |
-
- model.conv2_channels=6
|
7 |
-
- model.lin1_size=72
|
8 |
-
- model.lin2_size=128
|
9 |
-
- hparams_search=focusConvMSE_150
|
10 |
-
- trainer.gpus=0
|
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/csv/version_0/hparams.yaml
DELETED
@@ -1,56 +0,0 @@
|
|
1 |
-
trainer:
|
2 |
-
_target_: pytorch_lightning.Trainer
|
3 |
-
gpus: 0
|
4 |
-
min_epochs: 1
|
5 |
-
max_epochs: 100
|
6 |
-
resume_from_checkpoint: null
|
7 |
-
model:
|
8 |
-
_target_: src.models.focus_conv_module.FocusConvLitModule
|
9 |
-
image_size: 150
|
10 |
-
pool_size: 2
|
11 |
-
conv1_size: 5
|
12 |
-
conv1_channels: 3
|
13 |
-
conv2_size: 7
|
14 |
-
conv2_channels: 6
|
15 |
-
lin1_size: 72
|
16 |
-
lin2_size: 128
|
17 |
-
output_size: 1
|
18 |
-
lr: 0.001629522971013559
|
19 |
-
weight_decay: 0.0005
|
20 |
-
datamodule:
|
21 |
-
_target_: src.datamodules.focus_datamodule.FocusDataModule
|
22 |
-
data_dir: /usr/src/app/data/focus150
|
23 |
-
csv_file: /usr/src/app/data/focus150/metadata.csv
|
24 |
-
batch_size: 64
|
25 |
-
train_val_test_split_percentage:
|
26 |
-
- 0.7
|
27 |
-
- 0.15
|
28 |
-
- 0.15
|
29 |
-
num_workers: 0
|
30 |
-
pin_memory: false
|
31 |
-
seed: null
|
32 |
-
callbacks:
|
33 |
-
model_checkpoint:
|
34 |
-
_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
35 |
-
monitor: val/mae
|
36 |
-
mode: min
|
37 |
-
save_top_k: 1
|
38 |
-
save_last: true
|
39 |
-
verbose: false
|
40 |
-
dirpath: checkpoints/
|
41 |
-
filename: epoch_{epoch:03d}
|
42 |
-
auto_insert_metric_name: false
|
43 |
-
early_stopping:
|
44 |
-
_target_: pytorch_lightning.callbacks.EarlyStopping
|
45 |
-
monitor: val/mae
|
46 |
-
mode: min
|
47 |
-
patience: 100
|
48 |
-
min_delta: 0
|
49 |
-
model_summary:
|
50 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
51 |
-
max_depth: -1
|
52 |
-
rich_progress_bar:
|
53 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
54 |
-
model/params/total: 539141
|
55 |
-
model/params/trainable: 539141
|
56 |
-
model/params/non_trainable: 0
|
|
|
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|
logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/13/csv/version_0/metrics.csv
DELETED
@@ -1,202 +0,0 @@
|
|
1 |
-
val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae
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2 |
-
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- 0.15
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num_workers: 0
|
30 |
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pin_memory: false
|
31 |
-
seed: null
|
32 |
-
callbacks:
|
33 |
-
model_checkpoint:
|
34 |
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_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
35 |
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monitor: val/mae
|
36 |
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mode: min
|
37 |
-
save_top_k: 1
|
38 |
-
save_last: true
|
39 |
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verbose: false
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40 |
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dirpath: checkpoints/
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filename: epoch_{epoch:03d}
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42 |
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auto_insert_metric_name: false
|
43 |
-
early_stopping:
|
44 |
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_target_: pytorch_lightning.callbacks.EarlyStopping
|
45 |
-
monitor: val/mae
|
46 |
-
mode: min
|
47 |
-
patience: 100
|
48 |
-
min_delta: 0
|
49 |
-
model_summary:
|
50 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
51 |
-
max_depth: -1
|
52 |
-
rich_progress_bar:
|
53 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
54 |
-
model/params/total: 539141
|
55 |
-
model/params/trainable: 539141
|
56 |
-
model/params/non_trainable: 0
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logs/experiments/multiruns/focusConvMSE_150_hyperparameter_search/2022-03-11_16-04-03/14/.hydra/config.yaml
DELETED
@@ -1,75 +0,0 @@
|
|
1 |
-
original_work_dir: ${hydra:runtime.cwd}
|
2 |
-
data_dir: ${original_work_dir}/data
|
3 |
-
print_config: true
|
4 |
-
ignore_warnings: true
|
5 |
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train: true
|
6 |
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test: true
|
7 |
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seed: null
|
8 |
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name: focusConvMSE_150_hyperparameter_search
|
9 |
-
datamodule:
|
10 |
-
_target_: src.datamodules.focus_datamodule.FocusDataModule
|
11 |
-
data_dir: ${data_dir}/focus150
|
12 |
-
csv_file: ${data_dir}/focus150/metadata.csv
|
13 |
-
batch_size: 64
|
14 |
-
train_val_test_split_percentage:
|
15 |
-
- 0.7
|
16 |
-
- 0.15
|
17 |
-
- 0.15
|
18 |
-
num_workers: 0
|
19 |
-
pin_memory: false
|
20 |
-
model:
|
21 |
-
_target_: src.models.focus_conv_module.FocusConvLitModule
|
22 |
-
image_size: 150
|
23 |
-
pool_size: 2
|
24 |
-
conv1_size: 3
|
25 |
-
conv1_channels: 3
|
26 |
-
conv2_size: 7
|
27 |
-
conv2_channels: 11
|
28 |
-
lin1_size: 32
|
29 |
-
lin2_size: 32
|
30 |
-
output_size: 1
|
31 |
-
lr: 0.005467294276557001
|
32 |
-
weight_decay: 0.0005
|
33 |
-
callbacks:
|
34 |
-
model_checkpoint:
|
35 |
-
_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
36 |
-
monitor: val/mae
|
37 |
-
mode: min
|
38 |
-
save_top_k: 1
|
39 |
-
save_last: true
|
40 |
-
verbose: false
|
41 |
-
dirpath: checkpoints/
|
42 |
-
filename: epoch_{epoch:03d}
|
43 |
-
auto_insert_metric_name: false
|
44 |
-
early_stopping:
|
45 |
-
_target_: pytorch_lightning.callbacks.EarlyStopping
|
46 |
-
monitor: val/mae
|
47 |
-
mode: min
|
48 |
-
patience: 100
|
49 |
-
min_delta: 0
|
50 |
-
model_summary:
|
51 |
-
_target_: pytorch_lightning.callbacks.RichModelSummary
|
52 |
-
max_depth: -1
|
53 |
-
rich_progress_bar:
|
54 |
-
_target_: pytorch_lightning.callbacks.RichProgressBar
|
55 |
-
logger:
|
56 |
-
csv:
|
57 |
-
_target_: pytorch_lightning.loggers.csv_logs.CSVLogger
|
58 |
-
save_dir: .
|
59 |
-
name: csv/
|
60 |
-
prefix: ''
|
61 |
-
tensorboard:
|
62 |
-
_target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
|
63 |
-
save_dir: tensorboard/
|
64 |
-
name: null
|
65 |
-
version: ${name}
|
66 |
-
log_graph: false
|
67 |
-
default_hp_metric: true
|
68 |
-
prefix: ''
|
69 |
-
trainer:
|
70 |
-
_target_: pytorch_lightning.Trainer
|
71 |
-
gpus: 0
|
72 |
-
min_epochs: 1
|
73 |
-
max_epochs: 100
|
74 |
-
resume_from_checkpoint: null
|
75 |
-
optimized_metric: val/mae_best
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