diff --git a/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/config.yaml b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..98dc0de4c0f3232f88c97677b5c85f086310d5c4 --- /dev/null +++ b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/config.yaml @@ -0,0 +1,76 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: 12345 +name: focusMAE_150 +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: 128 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_module.FocusLitModule + input_size: 67500 + lin1_size: 128 + lin2_size: 256 + lin3_size: 64 + output_size: 1 + lr: 0.001 + 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: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null diff --git a/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/hydra.yaml b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..354de5b9b38c5fd7be4ce77a1b7d5c30526ddb91 --- /dev/null +++ b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/hydra.yaml @@ -0,0 +1,170 @@ +hydra: + run: + dir: logs/experiments/runs/${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: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + 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: + - experiment=focusMAE_150 + job: + name: train + override_dirname: experiment=focusMAE_150 + id: ??? + num: ??? + 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: null + debug: null + experiment: focusMAE_150 + log_dir: default.yaml + trainer: default.yaml + logger: many_loggers + callbacks: default.yaml + model: focus150.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: basic + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/overrides.yaml b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d6ba9ed4821a68a3d5bb927fd34a68bc1c7628b2 --- /dev/null +++ b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/.hydra/overrides.yaml @@ -0,0 +1 @@ +- experiment=focusMAE_150 diff --git a/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/checkpoints/epoch_098.ckpt b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/checkpoints/epoch_098.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..1995c7da2eb1a1b4e045e6427dd9e0bc4c0f1605 --- /dev/null +++ b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/checkpoints/epoch_098.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b00dc349ed49fe19fb35c15ab867a3c0fb9a8392435b7db8d4ab1515f0a79bda +size 104307526 diff --git a/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/checkpoints/last.ckpt b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..fbf3786a2ae28ac917f0b29f5f97a50c634efbe3 --- /dev/null +++ b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:77afcd98cd8b984690546481dfc8db2db99f147387371d2314dea637dbef65bb +size 104307526 diff --git a/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/csv/version_0/hparams.yaml b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d530f366ae10b2adaf85bdd62640c6e8b26204a6 --- /dev/null +++ b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/csv/version_0/hparams.yaml @@ -0,0 +1,50 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_module.FocusLitModule + input_size: 67500 + lin1_size: 128 + lin2_size: 256 + lin3_size: 64 + output_size: 1 + lr: 0.001 + 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: 128 + num_workers: 0 + pin_memory: false +seed: 12345 +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: 8690561 +model/params/trainable: 8690561 +model/params/non_trainable: 0 diff --git a/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/csv/version_0/metrics.csv b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..1a87736e6ea419a5795e3a931b0136b695b2a3a2 --- /dev/null +++ b/logs/experiments/runs/focusMAE_150/2022-03-22_14-50-59/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/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/seed @@ -0,0 +1 @@ +12345 \ No newline at end of file diff --git a/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/_target_ b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/_target_ new file mode 100644 index 0000000000000000000000000000000000000000..6b23728d56f799f2fedf10e2776b353c78e47498 --- /dev/null +++ b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/_target_ @@ -0,0 +1 @@ +pytorch_lightning.Trainer \ No newline at end of file diff --git a/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/gpus b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/gpus new file mode 100644 index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de --- /dev/null +++ b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/gpus @@ -0,0 +1 @@ +1 \ No newline at end of file diff --git a/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/max_epochs b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/max_epochs new file mode 100644 index 0000000000000000000000000000000000000000..105d7d9ad3afc7bb78a0dec4d829880831605dfb --- /dev/null +++ b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/max_epochs @@ -0,0 +1 @@ +100 \ No newline at end of file diff --git a/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/min_epochs b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/min_epochs new file mode 100644 index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de --- /dev/null +++ b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/min_epochs @@ -0,0 +1 @@ +1 \ No newline at end of file diff --git a/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/resume_from_checkpoint b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/resume_from_checkpoint new file mode 100644 index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049 --- /dev/null +++ b/logs/mlflow/mlruns/2/783dae2360d64b5bacdcea58ff55bc5b/params/trainer/resume_from_checkpoint @@ -0,0 +1 @@ +None \ No newline at end of file diff --git a/logs/mlflow/mlruns/2/meta.yaml b/logs/mlflow/mlruns/2/meta.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d1ca4936eeee7d5995f22b4cb839bdc3c3bb2c4c --- /dev/null +++ b/logs/mlflow/mlruns/2/meta.yaml @@ -0,0 +1,4 @@ +artifact_location: /usr/src/app/logs/mlflow/mlruns/2 +experiment_id: '2' +lifecycle_stage: active +name: focusMAE_150