Hannes Kuchelmeister
commited on
Commit
•
40e1762
1
Parent(s):
caa981f
add non-pretrained-focus-liteNN model
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- configs/experiment/focusLiteNN_150.yaml +33 -0
- configs/model/focusLiteNN.yaml +6 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/.hydra/config.yaml +74 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/.hydra/hydra.yaml +170 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/.hydra/overrides.yaml +1 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/checkpoints/epoch_098.ckpt +3 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/checkpoints/last.ckpt +3 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/csv/version_0/hparams.yaml +48 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/csv/version_0/metrics.csv +202 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/tensorboard/focusLiteNN_150/events.out.tfevents.1650369545.1c84e2e1b5a8.1.0 +3 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/tensorboard/focusLiteNN_150/events.out.tfevents.1650369853.1c84e2e1b5a8.1.1 +3 -0
- logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/tensorboard/focusLiteNN_150/hparams.yaml +48 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/meta.yaml +15 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/early_stopping/_target_ +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/early_stopping/min_delta +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/early_stopping/mode +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/early_stopping/monitor +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/early_stopping/patience +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/_target_ +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/auto_insert_metric_name +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/dirpath +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/filename +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/mode +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/monitor +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/save_last +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/save_top_k +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/verbose +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_summary/_target_ +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_summary/max_depth +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/rich_progress_bar/_target_ +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/_target_ +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/augmentation +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/batch_size +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/csv_test_file +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/csv_train_file +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/csv_val_file +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/data_dir +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/num_workers +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/pin_memory +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/_target_ +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/lr +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/num_channel +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/params/non_trainable +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/params/total +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/params/trainable +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/pre_trained +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/weight_decay +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/seed +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/trainer/_target_ +1 -0
- logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/trainer/gpus +1 -0
configs/experiment/focusLiteNN_150.yaml
ADDED
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# @package _global_
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# to execute this experiment run:
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# python train.py experiment=example
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defaults:
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- override /datamodule: focus150.yaml
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- override /model: focusLiteNN.yaml
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- override /callbacks: default.yaml
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- override /logger: many_loggers
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- override /trainer: default.yaml
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# all parameters below will be merged with parameters from default configurations set above
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# this allows you to overwrite only specified parameters
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# name of the run determines folder name in logs
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name: "focusLiteNN_150"
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seed: 12345
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trainer:
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min_epochs: 1
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max_epochs: 100
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model:
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pre_trained: False
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num_channel: 3
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lr: 0.001
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weight_decay: 0.0005
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datamodule:
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batch_size: 128
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augmentation: True
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configs/model/focusLiteNN.yaml
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_target_: src.models.focus_litenn_module.FocusLiteNNLitModule
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pre_trained: false
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num_channel: 3
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lr: 0.001
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weight_decay: 0.0005
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logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/.hydra/config.yaml
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original_work_dir: ${hydra:runtime.cwd}
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data_dir: ${original_work_dir}/data
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print_config: true
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ignore_warnings: true
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train: true
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test: true
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seed: 12345
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name: focusLiteNN_150
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datamodule:
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_target_: src.datamodules.focus_datamodule.FocusDataModule
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data_dir: ${data_dir}/focus150
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csv_train_file: ${data_dir}/focus150/train_metadata.csv
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csv_val_file: ${data_dir}/focus150/validation_metadata.csv
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csv_test_file: ${data_dir}/focus150/test_metadata.csv
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batch_size: 128
|
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num_workers: 0
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pin_memory: false
|
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augmentation: true
|
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model:
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_target_: src.models.focus_litenn_module.FocusLiteNNLitModule
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pre_trained: false
|
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num_channel: 3
|
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lr: 0.001
|
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weight_decay: 0.0005
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callbacks:
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model_checkpoint:
|
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_target_: pytorch_lightning.callbacks.ModelCheckpoint
|
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monitor: val/mae
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mode: min
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+
save_top_k: 1
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+
save_last: true
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32 |
+
verbose: false
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33 |
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dirpath: checkpoints/
|
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filename: epoch_{epoch:03d}
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auto_insert_metric_name: false
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early_stopping:
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_target_: pytorch_lightning.callbacks.EarlyStopping
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monitor: val/mae
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mode: min
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patience: 100
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min_delta: 0
|
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model_summary:
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_target_: pytorch_lightning.callbacks.RichModelSummary
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max_depth: -1
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rich_progress_bar:
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_target_: pytorch_lightning.callbacks.RichProgressBar
|
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+
logger:
|
48 |
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csv:
|
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_target_: pytorch_lightning.loggers.csv_logs.CSVLogger
|
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+
save_dir: .
|
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name: csv/
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prefix: ''
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+
mlflow:
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+
_target_: pytorch_lightning.loggers.mlflow.MLFlowLogger
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+
experiment_name: ${name}
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+
tracking_uri: ${original_work_dir}/logs/mlflow/mlruns
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57 |
+
tags: null
|
58 |
+
save_dir: ./mlruns
|
59 |
+
prefix: ''
|
60 |
+
artifact_location: null
|
61 |
+
tensorboard:
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+
_target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
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+
save_dir: tensorboard/
|
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+
name: null
|
65 |
+
version: ${name}
|
66 |
+
log_graph: false
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+
default_hp_metric: true
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+
prefix: ''
|
69 |
+
trainer:
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_target_: pytorch_lightning.Trainer
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gpus: 1
|
72 |
+
min_epochs: 1
|
73 |
+
max_epochs: 100
|
74 |
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resume_from_checkpoint: null
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logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/.hydra/hydra.yaml
ADDED
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hydra:
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run:
|
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dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
4 |
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sweep:
|
5 |
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dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S}
|
6 |
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subdir: ${hydra.job.num}
|
7 |
+
launcher:
|
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_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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9 |
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sweeper:
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10 |
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_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
11 |
+
max_batch_size: null
|
12 |
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help:
|
13 |
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app_name: ${hydra.job.name}
|
14 |
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header: '${hydra.help.app_name} is powered by Hydra.
|
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+
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'
|
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footer: 'Powered by Hydra (https://hydra.cc)
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+
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Use --hydra-help to view Hydra specific help
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20 |
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'
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template: '${hydra.help.header}
|
23 |
+
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== Configuration groups ==
|
25 |
+
|
26 |
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Compose your configuration from those groups (group=option)
|
27 |
+
|
28 |
+
|
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$APP_CONFIG_GROUPS
|
30 |
+
|
31 |
+
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32 |
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== Config ==
|
33 |
+
|
34 |
+
Override anything in the config (foo.bar=value)
|
35 |
+
|
36 |
+
|
37 |
+
$CONFIG
|
38 |
+
|
39 |
+
|
40 |
+
${hydra.help.footer}
|
41 |
+
|
42 |
+
'
|
43 |
+
hydra_help:
|
44 |
+
template: 'Hydra (${hydra.runtime.version})
|
45 |
+
|
46 |
+
See https://hydra.cc for more info.
|
47 |
+
|
48 |
+
|
49 |
+
== Flags ==
|
50 |
+
|
51 |
+
$FLAGS_HELP
|
52 |
+
|
53 |
+
|
54 |
+
== Configuration groups ==
|
55 |
+
|
56 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
57 |
+
to command line)
|
58 |
+
|
59 |
+
|
60 |
+
$HYDRA_CONFIG_GROUPS
|
61 |
+
|
62 |
+
|
63 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
64 |
+
|
65 |
+
'
|
66 |
+
hydra_help: ???
|
67 |
+
hydra_logging:
|
68 |
+
version: 1
|
69 |
+
formatters:
|
70 |
+
colorlog:
|
71 |
+
(): colorlog.ColoredFormatter
|
72 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
73 |
+
handlers:
|
74 |
+
console:
|
75 |
+
class: logging.StreamHandler
|
76 |
+
formatter: colorlog
|
77 |
+
stream: ext://sys.stdout
|
78 |
+
root:
|
79 |
+
level: INFO
|
80 |
+
handlers:
|
81 |
+
- console
|
82 |
+
disable_existing_loggers: false
|
83 |
+
job_logging:
|
84 |
+
version: 1
|
85 |
+
formatters:
|
86 |
+
simple:
|
87 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
88 |
+
colorlog:
|
89 |
+
(): colorlog.ColoredFormatter
|
90 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
91 |
+
- %(message)s'
|
92 |
+
log_colors:
|
93 |
+
DEBUG: purple
|
94 |
+
INFO: green
|
95 |
+
WARNING: yellow
|
96 |
+
ERROR: red
|
97 |
+
CRITICAL: red
|
98 |
+
handlers:
|
99 |
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console:
|
100 |
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class: logging.StreamHandler
|
101 |
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formatter: colorlog
|
102 |
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stream: ext://sys.stdout
|
103 |
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file:
|
104 |
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class: logging.FileHandler
|
105 |
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formatter: simple
|
106 |
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filename: ${hydra.job.name}.log
|
107 |
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root:
|
108 |
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|
109 |
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handlers:
|
110 |
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- console
|
111 |
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- file
|
112 |
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|
113 |
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|
114 |
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|
115 |
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callbacks: {}
|
116 |
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output_subdir: .hydra
|
117 |
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overrides:
|
118 |
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hydra: []
|
119 |
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task:
|
120 |
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- experiment=focusLiteNN_150
|
121 |
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job:
|
122 |
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name: train
|
123 |
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override_dirname: experiment=focusLiteNN_150
|
124 |
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id: ???
|
125 |
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num: ???
|
126 |
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|
127 |
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|
128 |
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|
129 |
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|
130 |
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|
131 |
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|
132 |
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|
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|
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|
135 |
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|
136 |
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|
137 |
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|
138 |
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|
139 |
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schema: pkg
|
140 |
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provider: hydra
|
141 |
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- path: /usr/src/app/configs
|
142 |
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schema: file
|
143 |
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provider: main
|
144 |
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- path: hydra_plugins.hydra_colorlog.conf
|
145 |
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schema: pkg
|
146 |
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provider: hydra-colorlog
|
147 |
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|
148 |
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schema: structured
|
149 |
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provider: schema
|
150 |
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choices:
|
151 |
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local: default.yaml
|
152 |
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hparams_search: null
|
153 |
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debug: null
|
154 |
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experiment: focusLiteNN_150
|
155 |
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log_dir: default.yaml
|
156 |
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trainer: default.yaml
|
157 |
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logger: many_loggers
|
158 |
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callbacks: default.yaml
|
159 |
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model: focusLiteNN.yaml
|
160 |
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datamodule: focus150.yaml
|
161 |
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hydra/env: default
|
162 |
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hydra/callbacks: null
|
163 |
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hydra/job_logging: colorlog
|
164 |
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hydra/hydra_logging: colorlog
|
165 |
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hydra/hydra_help: default
|
166 |
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hydra/help: default
|
167 |
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hydra/sweeper: basic
|
168 |
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hydra/launcher: basic
|
169 |
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hydra/output: default
|
170 |
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verbose: false
|
logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/.hydra/overrides.yaml
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
- experiment=focusLiteNN_150
|
logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/checkpoints/epoch_098.ckpt
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3 |
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size 12795
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logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/checkpoints/last.ckpt
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version https://git-lfs.github.com/spec/v1
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@@ -0,0 +1,48 @@
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|
1 |
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|
2 |
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_target_: pytorch_lightning.Trainer
|
3 |
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gpus: 1
|
4 |
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|
5 |
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max_epochs: 100
|
6 |
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resume_from_checkpoint: null
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7 |
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|
8 |
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_target_: src.models.focus_litenn_module.FocusLiteNNLitModule
|
9 |
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|
10 |
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num_channel: 3
|
11 |
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lr: 0.001
|
12 |
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weight_decay: 0.0005
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13 |
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datamodule:
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14 |
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_target_: src.datamodules.focus_datamodule.FocusDataModule
|
15 |
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data_dir: /usr/src/app/data/focus150
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16 |
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csv_train_file: /usr/src/app/data/focus150/train_metadata.csv
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17 |
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csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv
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18 |
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csv_test_file: /usr/src/app/data/focus150/test_metadata.csv
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19 |
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batch_size: 128
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20 |
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pin_memory: false
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augmentation: true
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23 |
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seed: 12345
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24 |
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callbacks:
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25 |
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model_checkpoint:
|
26 |
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_target_: pytorch_lightning.callbacks.ModelCheckpoint
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27 |
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monitor: val/mae
|
28 |
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mode: min
|
29 |
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save_top_k: 1
|
30 |
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save_last: true
|
31 |
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verbose: false
|
32 |
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dirpath: checkpoints/
|
33 |
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filename: epoch_{epoch:03d}
|
34 |
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auto_insert_metric_name: false
|
35 |
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early_stopping:
|
36 |
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_target_: pytorch_lightning.callbacks.EarlyStopping
|
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monitor: val/mae
|
38 |
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mode: min
|
39 |
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patience: 100
|
40 |
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min_delta: 0
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model_summary:
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42 |
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max_depth: -1
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44 |
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rich_progress_bar:
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45 |
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model/params/total: 448
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model/params/trainable: 448
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48 |
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model/params/non_trainable: 0
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logs/experiments/runs/focusLiteNN_150/2022-04-19_11-59-02/csv/version_0/metrics.csv
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min
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/monitor
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val/mae
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/save_last
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True
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/save_top_k
ADDED
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1
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_checkpoint/verbose
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False
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_summary/_target_
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pytorch_lightning.callbacks.RichModelSummary
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/model_summary/max_depth
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-1
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/callbacks/rich_progress_bar/_target_
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pytorch_lightning.callbacks.RichProgressBar
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/_target_
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src.datamodules.focus_datamodule.FocusDataModule
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/augmentation
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True
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/batch_size
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128
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/csv_test_file
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/usr/src/app/data/focus150/test_metadata.csv
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/csv_train_file
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/usr/src/app/data/focus150/train_metadata.csv
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/csv_val_file
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/usr/src/app/data/focus150/validation_metadata.csv
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/data_dir
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/usr/src/app/data/focus150
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/num_workers
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0
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/datamodule/pin_memory
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False
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/_target_
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src.models.focus_litenn_module.FocusLiteNNLitModule
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/lr
ADDED
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0.001
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/num_channel
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3
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/params/non_trainable
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0
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/params/total
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448
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/params/trainable
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448
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/pre_trained
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False
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/model/weight_decay
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0.0005
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/seed
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12345
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/trainer/_target_
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pytorch_lightning.Trainer
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logs/mlflow/mlruns/7/d7d98351ada341399f5dfb78ebfba7ca/params/trainer/gpus
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1
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