Revert "change conv model to use activation function and rerun a training run" as it degrades performance

This reverts commit 1fb6fd938538b02ba5ec7d6fb6b42d52b88cd21c.

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

@@ -1,80 +0,0 @@
-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

@@ -1,170 +0,0 @@
-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

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

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

@@ -1,3 +0,0 @@
-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

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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logs/experiments/runs/focusConvMSE_150/2022-05-11_07-46-18/csv/version_0/hparams.yaml

@@ -1,54 +0,0 @@
-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

@@ -1,202 +0,0 @@
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logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/early_stopping/_target_

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-pytorch_lightning.callbacks.EarlyStopping

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/early_stopping/min_delta

@@ -1 +0,0 @@
-0

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/early_stopping/mode

@@ -1 +0,0 @@
-min

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/early_stopping/monitor

@@ -1 +0,0 @@
-val/mae

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/early_stopping/patience

@@ -1 +0,0 @@
-100

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/_target_

@@ -1 +0,0 @@
-pytorch_lightning.callbacks.ModelCheckpoint

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/auto_insert_metric_name

@@ -1 +0,0 @@
-False

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/dirpath

@@ -1 +0,0 @@
-checkpoints/

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/filename

@@ -1 +0,0 @@
-epoch_{epoch:03d}

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/mode

@@ -1 +0,0 @@
-min

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/monitor

@@ -1 +0,0 @@
-val/mae

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/save_last

@@ -1 +0,0 @@
-True

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/save_top_k

@@ -1 +0,0 @@
-1

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_checkpoint/verbose

@@ -1 +0,0 @@
-False

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_summary/_target_

@@ -1 +0,0 @@
-pytorch_lightning.callbacks.RichModelSummary

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/model_summary/max_depth

@@ -1 +0,0 @@
--1

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/callbacks/rich_progress_bar/_target_

@@ -1 +0,0 @@
-pytorch_lightning.callbacks.RichProgressBar

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

@@ -1 +0,0 @@
-src.datamodules.focus_datamodule.FocusDataModule

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

@@ -1 +0,0 @@
-128

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

@@ -1 +0,0 @@
-/usr/src/app/data/focus150/test_metadata.csv

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

@@ -1 +0,0 @@
-/usr/src/app/data/focus150/train_metadata.csv

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

@@ -1 +0,0 @@
-/usr/src/app/data/focus150/validation_metadata.csv

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

@@ -1 +0,0 @@
-/usr/src/app/data/focus150

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

@@ -1 +0,0 @@
-0

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

@@ -1 +0,0 @@
-False

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/model/_target_

@@ -1 +0,0 @@
-src.models.focus_conv_module.FocusConvLitModule

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/model/conv1_channels

@@ -1 +0,0 @@
-6

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/model/conv1_size

@@ -1 +0,0 @@
-5

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/model/conv2_channels

@@ -1 +0,0 @@
-16

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/model/conv2_size

@@ -1 +0,0 @@
-5

logs/mlflow/mlruns/1/32404d6b69574a41967cc1061badf333/params/model/image_size

@@ -1 +0,0 @@
-150