|
hydra: |
|
run: |
|
dir: ./outputs/${experiment_group}/${run_name} |
|
sweep: |
|
dir: ./outputs/multirun/${experiment_group} |
|
subdir: ${run_name}_${hydra.job.id} |
|
launcher: |
|
_target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher |
|
n_jobs: 3 |
|
backend: null |
|
prefer: processes |
|
require: null |
|
verbose: 0 |
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timeout: null |
|
pre_dispatch: 2*n_jobs |
|
batch_size: auto |
|
temp_folder: null |
|
max_nbytes: null |
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mmap_mode: r |
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sweeper: |
|
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper |
|
max_batch_size: null |
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params: null |
|
help: |
|
app_name: ${hydra.job.name} |
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header: '${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: bold_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: {} |
|
mode: MULTIRUN |
|
searchpath: [] |
|
callbacks: {} |
|
output_subdir: .hydra |
|
overrides: |
|
hydra: |
|
- hydra.mode=MULTIRUN |
|
task: |
|
- experiment_group=binary_classification_superextended |
|
- dataset=amazon_agri |
|
- strategy=seals_badge,anchoral_badge |
|
- data.seed=654321 |
|
- model.seed=654321 |
|
- active_data.seed=654321 |
|
- +launcher=joblib |
|
- active_fit.max_budget=20000 |
|
- active_fit.query_size=100 |
|
job: |
|
name: active_train |
|
chdir: true |
|
override_dirname: +launcher=joblib,active_data.seed=654321,active_fit.max_budget=20000,active_fit.query_size=100,data.seed=654321,dataset=amazon_agri,experiment_group=binary_classification_superextended,model.seed=654321,strategy=seals_badge,anchoral_badge |
|
id: ??? |
|
num: ??? |
|
config_name: conf |
|
env_set: {} |
|
env_copy: [] |
|
config: |
|
override_dirname: |
|
kv_sep: '=' |
|
item_sep: ',' |
|
exclude_keys: [] |
|
runtime: |
|
version: 1.3.2 |
|
version_base: '1.3' |
|
cwd: /home/pl487/anchoral |
|
config_sources: |
|
- path: hydra.conf |
|
schema: pkg |
|
provider: hydra |
|
- path: /home/pl487/anchoral/conf |
|
schema: file |
|
provider: main |
|
- path: hydra_plugins.hydra_colorlog.conf |
|
schema: pkg |
|
provider: hydra-colorlog |
|
- path: '' |
|
schema: structured |
|
provider: schema |
|
output_dir: ??? |
|
choices: |
|
launcher: joblib |
|
dataset: amazon_agri |
|
strategy: null |
|
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: joblib |
|
hydra/output: default |
|
verbose: false |
|
estimator: |
|
accelerator: gpu |
|
precision: 32 |
|
deterministic: true |
|
tf32_mode: high |
|
callbacks: |
|
timer: |
|
_target_: energizer.active_learning.callbacks.Timer |
|
save_outputs: |
|
_target_: src.callbacks.SaveOutputs |
|
dirpath: ./logs/ |
|
instance_level: false |
|
batch_level: false |
|
epoch_level: false |
|
early_stopping: |
|
_target_: energizer.callbacks.early_stopping.EarlyStopping |
|
monitor: train/avg_f1_minclass |
|
stage: train |
|
interval: epoch |
|
mode: max |
|
min_delta: 1.0e-05 |
|
patience: 10 |
|
stopping_threshold: null |
|
divergence_threshold: null |
|
verbose: true |
|
model_checkpoint: |
|
_target_: energizer.callbacks.model_checkpoint.ModelCheckpoint |
|
dirpath: .checkpoints |
|
monitor: train/avg_f1_minclass |
|
stage: train |
|
mode: max |
|
save_last: false |
|
save_top_k: 1 |
|
verbose: true |
|
loggers: |
|
wandb: |
|
_target_: energizer.loggers.wandb.WandbLogger |
|
project: anchoral |
|
entity: pietro_lesci |
|
group: ${strategy.name}_${dataset.name}_${model.name} |
|
name: ${run_name} |
|
tags: |
|
- ${experiment_group} |
|
tensorboard: |
|
_target_: energizer.loggers.TensorBoardLogger |
|
root_dir: ./ |
|
name: tb_logs |
|
version: null |
|
data: |
|
batch_size: 32 |
|
eval_batch_size: 256 |
|
num_workers: 32 |
|
pin_memory: true |
|
drop_last: false |
|
persistent_workers: true |
|
shuffle: true |
|
seed: 654321 |
|
replacement: false |
|
max_length: 512 |
|
active_data: |
|
budget: 100 |
|
positive_budget: 5 |
|
seed: 654321 |
|
fit: |
|
min_steps: 100 |
|
max_epochs: 10 |
|
learning_rate: 4.0e-05 |
|
optimizer: adamw |
|
log_interval: ${log_interval} |
|
enable_progress_bar: ${enable_progress_bar} |
|
limit_train_batches: ${limit_batches} |
|
limit_validation_batches: ${limit_batches} |
|
active_fit: |
|
max_budget: 20000 |
|
query_size: 100 |
|
reinit_model: true |
|
limit_pool_batches: ${limit_batches} |
|
limit_test_batches: ${limit_batches} |
|
test: |
|
log_interval: ${log_interval} |
|
enable_progress_bar: ${enable_progress_bar} |
|
limit_batches: ${limit_batches} |
|
strategy: ??? |
|
model: |
|
name: bert-base |
|
seed: 654321 |
|
dataset: |
|
name: amazon-agri |
|
text_column: text |
|
label_column: labels |
|
uid_column: uid |
|
prepared_path: ${data_path}/prepared/amazoncat-agri |
|
processed_path: ${data_path}/processed/amazoncat-13k |
|
minority_classes: |
|
- 1 |
|
index_metric: all-mpnet-base-v2_cosine |
|
log_interval: 1 |
|
enable_progress_bar: false |
|
limit_batches: null |
|
seed: 42 |
|
experiment_group: binary_classification_superextended |
|
run_name: ${dataset.name}/${model.name}_${strategy.name}_${now:%Y-%m-%d}T${now:%H-%M-%S} |
|
data_path: /home/pl487/anchoral/data |
|
|
