diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/config.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b39bf1ffa2e08ecde89c204d5d1efacd0049b9f7 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/config.yaml @@ -0,0 +1,75 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusResNet_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: true + lr: 0.0019207962356032353 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/hydra.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1836f4ef61074fdf43a83dfdc8adaffdd6a05f69 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/hydra.yaml @@ -0,0 +1,209 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusResNet_150_hyperparameter + n_trials: 20 + n_jobs: 1 + search_space: + model.pretrained: + type: categorical + choices: + - true + - false + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.resnet_type: + type: categorical + choices: + - ResNet + - resnet18 + - resnet34 + - resnet50 + - resnet101 + - resnext50_32x4d + - wide_resnet50_2 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - model.pretrained=True + - model.lr=0.0019207962356032353 + - model.resnet_type=resnet50 + - hparams_search=focusResNetMSE_150 + job: + name: train + override_dirname: hparams_search=focusResNetMSE_150,model.lr=0.0019207962356032353,model.pretrained=True,model.resnet_type=resnet50 + id: '0' + num: 0 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.1 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusResNetMSE_150 + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusResNet_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/overrides.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..93119c74f69e492b3a038e9a3853031927971e62 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- model.pretrained=True +- model.lr=0.0019207962356032353 +- model.resnet_type=resnet50 +- hparams_search=focusResNetMSE_150 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/checkpoints/epoch_037.ckpt b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/checkpoints/epoch_037.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..20ea3d7a5f9eb09bc95d1b7657827840373557b0 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/checkpoints/epoch_037.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8ccdbf426244914eee20fa270ccd1d8214a8ec6369baa934ac155d404c68ddb +size 282542073 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/checkpoints/last.ckpt b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..c7db06b5921228b798a04fc583d39c7d749fe9c5 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d69186aa8ac5e2fb9b5fc2235a10ac5a0ab73a20dc05ceeeee9aa5ce9d133e90 +size 282542073 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c4958e8caca4d2aba05f5c2bf3478661dede1869 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/csv/version_0/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: true + lr: 0.0019207962356032353 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 23510081 +model/params/trainable: 23510081 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..6a4e1fab6ba167ada23a79026a90a0c9ea14538f --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/csv/version_0/metrics.csv @@ -0,0 +1,183 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae +0.012541732750833035,0.06376616656780243,0.06376616656780243,0,47,, +,,,0,47,0.8556863069534302,0.23703186213970184 +0.0005534336669370532,0.01936493255198002,0.01936493255198002,1,95,, +,,,1,95,0.0007576301577500999,0.021626846864819527 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b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/tensorboard/focusResNet_150_hyperparameter_search/events.out.tfevents.1648654145.31c530854933.1.0 new file mode 100644 index 0000000000000000000000000000000000000000..f546c75d3a9d088dae35c33fcb3938c5c8e40052 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/tensorboard/focusResNet_150_hyperparameter_search/events.out.tfevents.1648654145.31c530854933.1.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b88edc3f82e9a00227f95dd635374785318555654f96b3f69a51b39f73790a7f +size 33521 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c4958e8caca4d2aba05f5c2bf3478661dede1869 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-30_15-28-52/0/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: true + lr: 0.0019207962356032353 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 23510081 +model/params/trainable: 23510081 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/config.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b39bf1ffa2e08ecde89c204d5d1efacd0049b9f7 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/config.yaml @@ -0,0 +1,75 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusResNet_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: true + lr: 0.0019207962356032353 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/hydra.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1836f4ef61074fdf43a83dfdc8adaffdd6a05f69 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/hydra.yaml @@ -0,0 +1,209 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusResNet_150_hyperparameter + n_trials: 20 + n_jobs: 1 + search_space: + model.pretrained: + type: categorical + choices: + - true + - false + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.resnet_type: + type: categorical + choices: + - ResNet + - resnet18 + - resnet34 + - resnet50 + - resnet101 + - resnext50_32x4d + - wide_resnet50_2 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - model.pretrained=True + - model.lr=0.0019207962356032353 + - model.resnet_type=resnet50 + - hparams_search=focusResNetMSE_150 + job: + name: train + override_dirname: hparams_search=focusResNetMSE_150,model.lr=0.0019207962356032353,model.pretrained=True,model.resnet_type=resnet50 + id: '0' + num: 0 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.1 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusResNetMSE_150 + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusResNet_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/overrides.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..93119c74f69e492b3a038e9a3853031927971e62 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-29/0/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- model.pretrained=True +- model.lr=0.0019207962356032353 +- model.resnet_type=resnet50 +- hparams_search=focusResNetMSE_150 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/config.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b39bf1ffa2e08ecde89c204d5d1efacd0049b9f7 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/config.yaml @@ -0,0 +1,75 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusResNet_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: true + lr: 0.0019207962356032353 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/hydra.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1836f4ef61074fdf43a83dfdc8adaffdd6a05f69 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/hydra.yaml @@ -0,0 +1,209 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusResNet_150_hyperparameter + n_trials: 20 + n_jobs: 1 + search_space: + model.pretrained: + type: categorical + choices: + - true + - false + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.resnet_type: + type: categorical + choices: + - ResNet + - resnet18 + - resnet34 + - resnet50 + - resnet101 + - resnext50_32x4d + - wide_resnet50_2 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - model.pretrained=True + - model.lr=0.0019207962356032353 + - model.resnet_type=resnet50 + - hparams_search=focusResNetMSE_150 + job: + name: train + override_dirname: hparams_search=focusResNetMSE_150,model.lr=0.0019207962356032353,model.pretrained=True,model.resnet_type=resnet50 + id: '0' + num: 0 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.1 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusResNetMSE_150 + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusResNet_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/overrides.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..93119c74f69e492b3a038e9a3853031927971e62 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- model.pretrained=True +- model.lr=0.0019207962356032353 +- model.resnet_type=resnet50 +- hparams_search=focusResNetMSE_150 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/checkpoints/epoch_056.ckpt b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/checkpoints/epoch_056.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..f5d0a63171bc598d47c412a3e30d00a86aa26150 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/checkpoints/epoch_056.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:754456f6a5e46f587879dbe1d050bdad93493986b5a98456783fbdbd5a2dd7dc +size 282542073 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/checkpoints/last.ckpt b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..c4024d7e4a14eced3a7ff42e990a5fb19220eb56 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e523e09deecbcb057d566b9c10c4681c624ab02c05d1e1be7ce7d386c4d95ae3 +size 282542073 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c4958e8caca4d2aba05f5c2bf3478661dede1869 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/csv/version_0/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: true + lr: 0.0019207962356032353 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 23510081 +model/params/trainable: 23510081 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/csv/version_0/metrics.csv 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b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/tensorboard/focusResNet_150_hyperparameter_search/events.out.tfevents.1648715389.14f4e65288e4.1.1 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d710c0749a76381933f08bf8ee58eb9ecaa4d71b8d652caff4adc910c85d3269 +size 179 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c4958e8caca4d2aba05f5c2bf3478661dede1869 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/0/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: true + lr: 0.0019207962356032353 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 23510081 +model/params/trainable: 23510081 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/config.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5feebd8d0477ce3cccaef09e5e6f3f7a1c842185 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/config.yaml @@ -0,0 +1,75 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusResNet_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnext50_32x4d + pretrained: false + lr: 0.00018304414962137957 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/hydra.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e25fe9de3dbec3e9fb7a19cc2cfc6657272b71d7 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/hydra.yaml @@ -0,0 +1,209 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusResNet_150_hyperparameter + n_trials: 20 + n_jobs: 1 + search_space: + model.pretrained: + type: categorical + choices: + - true + - false + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.resnet_type: + type: categorical + choices: + - ResNet + - resnet18 + - resnet34 + - resnet50 + - resnet101 + - resnext50_32x4d + - wide_resnet50_2 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - model.pretrained=False + - model.lr=0.00018304414962137957 + - model.resnet_type=resnext50_32x4d + - hparams_search=focusResNetMSE_150 + job: + name: train + override_dirname: hparams_search=focusResNetMSE_150,model.lr=0.00018304414962137957,model.pretrained=False,model.resnet_type=resnext50_32x4d + id: '1' + num: 1 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.1 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusResNetMSE_150 + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusResNet_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/overrides.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a36aa25ac1b7876ac6f7bb6d779cb0e25416fa57 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- model.pretrained=False +- model.lr=0.00018304414962137957 +- model.resnet_type=resnext50_32x4d +- hparams_search=focusResNetMSE_150 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/checkpoints/epoch_097.ckpt b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/checkpoints/epoch_097.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..7ca07a123a84fe10bc8756efc7dbc6672d56acf8 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/checkpoints/epoch_097.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7e0db57b1fcf589ade46256a58b1cbcc7be3b40997bb599674f5b3c5029b7a74 +size 276265081 diff --git 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b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/csv/version_0/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnext50_32x4d + pretrained: false + lr: 0.00018304414962137957 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 22981953 +model/params/trainable: 22981953 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..a2a1eaabd1ccb94618b902857a35c9f121eb0dbc --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/1/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ 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gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnext50_32x4d + pretrained: false + lr: 0.00018304414962137957 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 22981953 +model/params/trainable: 22981953 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/config.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..451e2f9b4c01a87c0713ac03c449870779ba3600 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/config.yaml @@ -0,0 +1,75 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusResNet_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: false + lr: 0.004729230171471036 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/hydra.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b63f6357677565ec96633780a5d6c351f01bb31c --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/hydra.yaml @@ -0,0 +1,209 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusResNet_150_hyperparameter + n_trials: 20 + n_jobs: 1 + search_space: + model.pretrained: + type: categorical + choices: + - true + - false + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.resnet_type: + type: categorical + choices: + - ResNet + - resnet18 + - resnet34 + - resnet50 + - resnet101 + - resnext50_32x4d + - wide_resnet50_2 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - model.pretrained=False + - model.lr=0.004729230171471036 + - model.resnet_type=resnet50 + - hparams_search=focusResNetMSE_150 + job: + name: train + override_dirname: hparams_search=focusResNetMSE_150,model.lr=0.004729230171471036,model.pretrained=False,model.resnet_type=resnet50 + id: '2' + num: 2 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.1 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusResNetMSE_150 + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusResNet_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/overrides.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..433a186b5f2467ec02d7115427104548a2ef37ab --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- model.pretrained=False +- model.lr=0.004729230171471036 +- model.resnet_type=resnet50 +- hparams_search=focusResNetMSE_150 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/checkpoints/epoch_092.ckpt b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/checkpoints/epoch_092.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..d766bd682080fbfe102d5f1aad39d970ec50ef7e --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/checkpoints/epoch_092.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:524fe397ac8da0ec9d6ad4b648cc49b42119af869a18af49ade042d3c067c974 +size 282542073 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/checkpoints/last.ckpt 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+1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: false + lr: 0.004729230171471036 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 23510081 +model/params/trainable: 23510081 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..45249f745c7ec539230f9d279fa5cc71c81948cd --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..901b7d1e114503bb1e57fe04f32cccfc368772b3 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/2/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnet50 + pretrained: false + lr: 0.004729230171471036 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 23510081 +model/params/trainable: 23510081 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/config.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b469c57dfce93a337beacaa5dee1d8afc5d2120b --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/config.yaml @@ -0,0 +1,75 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusResNet_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnext50_32x4d + pretrained: false + lr: 0.009046853128348301 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/hydra.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1c3c7a420ed91b91d16660d0670024028da2cd7e --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/hydra.yaml @@ -0,0 +1,209 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusResNet_150_hyperparameter + n_trials: 20 + n_jobs: 1 + search_space: + model.pretrained: + type: categorical + choices: + - true + - false + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.resnet_type: + type: categorical + choices: + - ResNet + - resnet18 + - resnet34 + - resnet50 + - resnet101 + - resnext50_32x4d + - wide_resnet50_2 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - model.pretrained=False + - model.lr=0.009046853128348301 + - model.resnet_type=resnext50_32x4d + - hparams_search=focusResNetMSE_150 + job: + name: train + override_dirname: hparams_search=focusResNetMSE_150,model.lr=0.009046853128348301,model.pretrained=False,model.resnet_type=resnext50_32x4d + id: '3' + num: 3 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.1 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusResNetMSE_150 + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusResNet_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/overrides.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..32508a214286764ad985d2e8672da66b6dc442d9 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- model.pretrained=False +- model.lr=0.009046853128348301 +- model.resnet_type=resnext50_32x4d +- hparams_search=focusResNetMSE_150 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/checkpoints/epoch_099.ckpt 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src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 22981953 +model/params/trainable: 22981953 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a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..06727a70d0b767e4244ebe0a4119f5fadde296be --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/3/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnext50_32x4d + pretrained: false + lr: 0.009046853128348301 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: 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a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/config.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..74eed9d71fc495dcb2a264cf16e4e7f6c5248cc3 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/config.yaml @@ -0,0 +1,75 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusResNet_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnext50_32x4d + pretrained: true + lr: 0.008120875147152222 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/hydra.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..16b1b8f06f921a76e7485a6b6b96f9d915f3fc00 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/hydra.yaml @@ -0,0 +1,209 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusResNet_150_hyperparameter + n_trials: 20 + n_jobs: 1 + search_space: + model.pretrained: + type: categorical + choices: + - true + - false + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.resnet_type: + type: categorical + choices: + - ResNet + - resnet18 + - resnet34 + - resnet50 + - resnet101 + - resnext50_32x4d + - wide_resnet50_2 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - model.pretrained=True + - model.lr=0.008120875147152222 + - model.resnet_type=resnext50_32x4d + - hparams_search=focusResNetMSE_150 + job: + name: train + override_dirname: hparams_search=focusResNetMSE_150,model.lr=0.008120875147152222,model.pretrained=True,model.resnet_type=resnext50_32x4d + id: '4' + num: 4 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.1 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusResNetMSE_150 + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusResNet_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/overrides.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dcc9171fcf5baceb8aed40acffa1733f975ea9cd --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- model.pretrained=True +- model.lr=0.008120875147152222 +- model.resnet_type=resnext50_32x4d +- hparams_search=focusResNetMSE_150 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/checkpoints/epoch_090.ckpt b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/checkpoints/epoch_090.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..439b78e572f3e852ee64cc3ec2fe89e366c17605 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/checkpoints/epoch_090.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:33c0f83998c636dc3d7406b1b4286708bd59dbce5beea1ef345bd9826a8e8999 +size 276265081 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/checkpoints/last.ckpt b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..43b270345d94ff173b254e53c86baa03a4f05156 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:076274c2b9d19301b271ea65486d0b6affca4f119fd8fafb95b7d346f6383eb2 +size 276265081 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3e3a1bd0967de75d423fa5e76aa7d5d0d8905d9f --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/csv/version_0/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnext50_32x4d + pretrained: true + lr: 0.008120875147152222 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 22981953 +model/params/trainable: 22981953 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..6daa22cc4bf468a7a96f512f6665a118030bd5fd --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.010096091777086258,0.0689971074461937,0.0689971074461937,0,47,,,, +,,,0,47,1.5567368268966675,0.456360399723053,, +0.02318584732711315,0.1477026492357254,0.0689971074461937,1,95,,,, +,,,1,95,0.022448819130659103,0.10874911397695541,, 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0000000000000000000000000000000000000000..3e3a1bd0967de75d423fa5e76aa7d5d0d8905d9f --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/4/tensorboard/focusResNet_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,48 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: resnext50_32x4d + pretrained: true + lr: 0.008120875147152222 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 22981953 +model/params/trainable: 22981953 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/config.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..57995db98a9e6bb7d7df56230988ff658f30806e --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/config.yaml @@ -0,0 +1,75 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusResNet_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false + augmentation: true +model: + _target_: src.models.focus_resnet_module.ResNetLitModule + resnet_type: ResNet + pretrained: true + lr: 0.0077112577922175225 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/hydra.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2ff5a41899c17cc89355b40b7c1b41c156d84a06 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/hydra.yaml @@ -0,0 +1,209 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusResNet_150_hyperparameter + n_trials: 20 + n_jobs: 1 + search_space: + model.pretrained: + type: categorical + choices: + - true + - false + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.resnet_type: + type: categorical + choices: + - ResNet + - resnet18 + - resnet34 + - resnet50 + - resnet101 + - resnext50_32x4d + - wide_resnet50_2 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - model.pretrained=True + - model.lr=0.0077112577922175225 + - model.resnet_type=ResNet + - hparams_search=focusResNetMSE_150 + job: + name: train + override_dirname: hparams_search=focusResNetMSE_150,model.lr=0.0077112577922175225,model.pretrained=True,model.resnet_type=ResNet + id: '5' + num: 5 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.1 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusResNetMSE_150 + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusResNet_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/overrides.yaml b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a5f8c9a2825863aa1264b2a162b7781086941261 --- /dev/null +++ b/logs/experiments/multiruns/focusResNet_150_hyperparameter_search/2022-03-31_07-56-52/5/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- model.pretrained=True +- model.lr=0.0077112577922175225 +- model.resnet_type=ResNet +- hparams_search=focusResNetMSE_150 diff --git a/logs/mlflow/mlruns/6/506de1dedbd341d39f383fc033dab123/meta.yaml b/logs/mlflow/mlruns/6/506de1dedbd341d39f383fc033dab123/meta.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3b2f9b1a28fea6272772ce7fecf4fc2f47fb1c2a --- /dev/null +++ b/logs/mlflow/mlruns/6/506de1dedbd341d39f383fc033dab123/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: /usr/src/app/logs/mlflow/mlruns/6/506de1dedbd341d39f383fc033dab123/artifacts +end_time: 1648722035282 +entry_point_name: '' +experiment_id: 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No newline at end of file diff --git a/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/callbacks/model_checkpoint/mode b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/callbacks/model_checkpoint/mode new file mode 100644 index 0000000000000000000000000000000000000000..5e8bc13c8f96ac2839228b82df8d777025967134 --- /dev/null +++ b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/callbacks/model_checkpoint/mode @@ -0,0 +1 @@ +min \ No newline at end of file diff --git a/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/callbacks/model_checkpoint/monitor b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/callbacks/model_checkpoint/monitor new file mode 100644 index 0000000000000000000000000000000000000000..124fae9ca472dccb8951663f7c53de5830ab2eb1 --- /dev/null +++ b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/callbacks/model_checkpoint/monitor @@ -0,0 +1 @@ +val/mae \ No newline at end of file diff --git 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end of file diff --git a/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/model/resnet_type b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/model/resnet_type new file mode 100644 index 0000000000000000000000000000000000000000..3c07b4a0e3be6730a945b62935188592b6c7ebc6 --- /dev/null +++ b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/model/resnet_type @@ -0,0 +1 @@ +resnet50 \ No newline at end of file diff --git a/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/model/weight_decay b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/model/weight_decay new file mode 100644 index 0000000000000000000000000000000000000000..752f26d69b0a2d03af05585d38e9e9cdd94d78ea --- /dev/null +++ b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/model/weight_decay @@ -0,0 +1 @@ +0.0005 \ No newline at end of file diff --git a/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/seed 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b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/trainer/min_epochs @@ -0,0 +1 @@ +1 \ No newline at end of file diff --git a/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/trainer/resume_from_checkpoint b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/trainer/resume_from_checkpoint new file mode 100644 index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049 --- /dev/null +++ b/logs/mlflow/mlruns/6/aa1509a371544601bb78904117da4588/params/trainer/resume_from_checkpoint @@ -0,0 +1 @@ +None \ No newline at end of file diff --git a/logs/mlflow/mlruns/6/meta.yaml b/logs/mlflow/mlruns/6/meta.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b22e82a5b4422e530ebc15cd2187140384b57ff0 --- /dev/null +++ b/logs/mlflow/mlruns/6/meta.yaml @@ -0,0 +1,4 @@ +artifact_location: /usr/src/app/logs/mlflow/mlruns/6 +experiment_id: '6' +lifecycle_stage: active +name: focusResNet_150_hyperparameter_search