change conv model to use activation function and rerun a training run

logs/experiments/runs/focusConvMSE_150/2022-05-11_07-46-18/.hydra/config.yaml

@@ -0,0 +1,80 @@
+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: focusConvMSE_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_conv_module.FocusConvLitModule
+ image_size: 150
+ pool_size: 2
+ conv1_size: 5
+ conv1_channels: 6
+ conv2_size: 5
+ conv2_channels: 16
+ lin1_size: 100
+ lin2_size: 80
+ 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

logs/experiments/runs/focusConvMSE_150/2022-05-11_07-46-18/.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=focusConvMSE_150
+ job:
+ name: train
+ override_dirname: experiment=focusConvMSE_150
+ id: ???
+ num: ???
+ config_name: train.yaml
+ env_set: {}
+ env_copy: []
+ config:
+ override_dirname:
+ kv_sep: '='
+ item_sep: ','
+ exclude_keys: []
+ runtime:
+ version: 1.1.2
+ 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: focusConvMSE_150
+ log_dir: default.yaml
+ trainer: default.yaml
+ logger: many_loggers
+ callbacks: default.yaml
+ model: focusConv_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: basic
+ hydra/launcher: basic
+ hydra/output: default
+ verbose: false

logs/experiments/runs/focusConvMSE_150/2022-05-11_07-46-18/.hydra/overrides.yaml

@@ -0,0 +1 @@
+- experiment=focusConvMSE_150

logs/experiments/runs/focusConvMSE_150/2022-05-11_07-46-18/checkpoints/epoch_075.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1388bc7e1659b1d7365261d6b7561f73b08cd759cc24b94028603d9cccfa82d7
+size 22354437

logs/experiments/runs/focusConvMSE_150/2022-05-11_07-46-18/checkpoints/last.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28a726f99e423ff51a8a6660f08a299d3bd4d24d038ab02d088118246133fa32
+size 22354437

logs/experiments/runs/focusConvMSE_150/2022-05-11_07-46-18/csv/version_0/hparams.yaml

@@ -0,0 +1,54 @@
+trainer:
+ _target_: pytorch_lightning.Trainer
+ gpus: 1
+ min_epochs: 1
+ max_epochs: 100
+ resume_from_checkpoint: null
+model:
+ _target_: src.models.focus_conv_module.FocusConvLitModule
+ image_size: 150
+ pool_size: 2
+ conv1_size: 5
+ conv1_channels: 6
+ conv2_size: 5
+ conv2_channels: 16
+ lin1_size: 100
+ lin2_size: 80
+ 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: 1861789
+model/params/trainable: 1861789
+model/params/non_trainable: 0

logs/experiments/runs/focusConvMSE_150/2022-05-11_07-46-18/csv/version_0/metrics.csv

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logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/datamodule/csv_val_file

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