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RMU_forget10_5e-5_Llama-3.2…/.hydra/hydra.yaml

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hydra:
run:
dir: ${paths.output_dir}
sweep:
dir: multirun/${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
params: 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: ${hydra.runtime.output_dir}/${trainer.handler}.log
root:
level: INFO
handlers:
- console
- file
disable_existing_loggers: false
env: {}
mode: RUN
searchpath: []
callbacks: {}
output_subdir: .hydra
overrides:
hydra:
- hydra.mode=RUN
task:
- experiment=unlearn/tofu/default
- model=Llama-3.2-3B-Instruct
- model.model_args.pretrained_model_name_or_path=open-unlearning/tofu_Llama-3.2-3B-Instruct_full
- forget_split=forget10
- retain_split=retain90
- trainer=RMU
- trainer.method_args.steering_coeff=10
- trainer.method_args.module_regex=model\.layers\.26
- trainer.args.learning_rate=5e-5
- task_name=RMU_forget10_5e-5_Llama-3.2-3B-Instruct_coef10_layer26
job:
name: train
chdir: null
override_dirname: experiment=unlearn/tofu/default,forget_split=forget10,model.model_args.pretrained_model_name_or_path=open-unlearning/tofu_Llama-3.2-3B-Instruct_full,model=Llama-3.2-3B-Instruct,retain_split=retain90,task_name=RMU_forget10_5e-5_Llama-3.2-3B-Instruct_coef10_layer26,trainer.args.learning_rate=5e-5,trainer.method_args.module_regex=model\.layers\.26,trainer.method_args.steering_coeff=10,trainer=RMU
id: ???
num: ???
config_name: unlearn.yaml
env_set: {}
env_copy: []
config:
override_dirname:
kv_sep: '='
item_sep: ','
exclude_keys: []
runtime:
version: 1.3.0
version_base: '1.3'
cwd: /raid/home/v126826/open-unlearning
config_sources:
- path: hydra.conf
schema: pkg
provider: hydra
- path: /raid/home/v126826/open-unlearning/configs
schema: file
provider: main
- path: hydra_plugins.hydra_colorlog.conf
schema: pkg
provider: hydra-colorlog
- path: ''
schema: structured
provider: schema
output_dir: /raid/home/v126826/open-unlearning/saves/unlearn/RMU_forget10_5e-5_Llama-3.2-3B-Instruct_coef10_layer26
choices:
experiment: unlearn/tofu/default
paths: default
hydra: default
eval: tofu
eval/tofu_metrics/../../collator@eval.tofu.metrics.extraction_strength.collators: DataCollatorForSupervisedDatasetwithIndex
eval/tofu_metrics/../../data/datasets@eval.tofu.metrics.extraction_strength.datasets: TOFU_QA_forget
eval/tofu_metrics/.@eval.tofu.metrics.privleak.pre_compute.mia_min_k: mia_min_k
eval/tofu_metrics/./../../collator@eval.tofu.metrics.privleak.pre_compute.mia_min_k.collators: DataCollatorForSupervisedDatasetwithIndex
eval/tofu_metrics/./../../data/datasets@eval.tofu.metrics.privleak.pre_compute.mia_min_k.datasets: TOFU_MIA
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.wf_Truth_Ratio: wf_Truth_Ratio
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.wf_Truth_Ratio.pre_compute.wf_Q_A_PERT_Prob: wf_Q_A_PERT_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.wf_Truth_Ratio.pre_compute.wf_Q_A_PERT_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.wf_Truth_Ratio.pre_compute.wf_Q_A_PERT_Prob.datasets
: TOFU_QA_wf_pert
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.wf_Truth_Ratio.pre_compute.wf_Q_A_Prob: wf_Q_A_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.wf_Truth_Ratio.pre_compute.wf_Q_A_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.wf_Truth_Ratio.pre_compute.wf_Q_A_Prob.datasets
: TOFU_QA_wf
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_ROUGE: wf_Q_A_ROUGE
eval/tofu_metrics/./../../generation@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_ROUGE.generation_args: default
eval/tofu_metrics/./../../collator@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_ROUGE.collators: DataCollatorForSupervisedDatasetwithIndex
eval/tofu_metrics/./../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_ROUGE.datasets: TOFU_QA_wf
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_Prob_normalised: wf_Q_A_Prob_normalised
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_Prob_normalised.pre_compute.wf_Q_A_PERT_Prob: wf_Q_A_PERT_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_Prob_normalised.pre_compute.wf_Q_A_PERT_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_Prob_normalised.pre_compute.wf_Q_A_PERT_Prob.datasets
: TOFU_QA_wf_pert
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_Prob_normalised.pre_compute.wf_Q_A_Prob: wf_Q_A_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_Prob_normalised.pre_compute.wf_Q_A_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.wf_Q_A_Prob_normalised.pre_compute.wf_Q_A_Prob.datasets
: TOFU_QA_wf
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.ra_Truth_Ratio: ra_Truth_Ratio
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.ra_Truth_Ratio.pre_compute.ra_Q_A_PERT_Prob: ra_Q_A_PERT_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.ra_Truth_Ratio.pre_compute.ra_Q_A_PERT_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.ra_Truth_Ratio.pre_compute.ra_Q_A_PERT_Prob.datasets
: TOFU_QA_ra_pert
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.ra_Truth_Ratio.pre_compute.ra_Q_A_Prob: ra_Q_A_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.ra_Truth_Ratio.pre_compute.ra_Q_A_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.ra_Truth_Ratio.pre_compute.ra_Q_A_Prob.datasets
: TOFU_QA_ra
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_ROUGE: ra_Q_A_ROUGE
eval/tofu_metrics/./../../generation@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_ROUGE.generation_args: default
eval/tofu_metrics/./../../collator@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_ROUGE.collators: DataCollatorForSupervisedDatasetwithIndex
eval/tofu_metrics/./../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_ROUGE.datasets: TOFU_QA_ra
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_Prob_normalised: ra_Q_A_Prob_normalised
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_Prob_normalised.pre_compute.ra_Q_A_PERT_Prob: ra_Q_A_PERT_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_Prob_normalised.pre_compute.ra_Q_A_PERT_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_Prob_normalised.pre_compute.ra_Q_A_PERT_Prob.datasets
: TOFU_QA_ra_pert
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_Prob_normalised.pre_compute.ra_Q_A_Prob: ra_Q_A_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_Prob_normalised.pre_compute.ra_Q_A_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.ra_Q_A_Prob_normalised.pre_compute.ra_Q_A_Prob.datasets
: TOFU_QA_ra
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.retain_Truth_Ratio: retain_Truth_Ratio
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.retain_Truth_Ratio.pre_compute.retain_Q_A_PERT_Prob: retain_Q_A_PERT_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.retain_Truth_Ratio.pre_compute.retain_Q_A_PERT_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.retain_Truth_Ratio.pre_compute.retain_Q_A_PERT_Prob.datasets
: TOFU_QA_retain_pert
eval/tofu_metrics/./.@eval.tofu.metrics.model_utility.pre_compute.retain_Truth_Ratio.pre_compute.retain_Q_A_PARA_Prob: retain_Q_A_PARA_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.model_utility.pre_compute.retain_Truth_Ratio.pre_compute.retain_Q_A_PARA_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.retain_Truth_Ratio.pre_compute.retain_Q_A_PARA_Prob.datasets
: TOFU_QA_retain_para
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.retain_Q_A_ROUGE: retain_Q_A_ROUGE
eval/tofu_metrics/./../../generation@eval.tofu.metrics.model_utility.pre_compute.retain_Q_A_ROUGE.generation_args: default
eval/tofu_metrics/./../../collator@eval.tofu.metrics.model_utility.pre_compute.retain_Q_A_ROUGE.collators: DataCollatorForSupervisedDatasetwithIndex
eval/tofu_metrics/./../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.retain_Q_A_ROUGE.datasets: TOFU_QA_retain_eval
eval/tofu_metrics/.@eval.tofu.metrics.model_utility.pre_compute.retain_Q_A_Prob: retain_Q_A_Prob
eval/tofu_metrics/./../../collator@eval.tofu.metrics.model_utility.pre_compute.retain_Q_A_Prob.collators: DataCollatorForSupervisedDatasetwithIndex
eval/tofu_metrics/./../../data/datasets@eval.tofu.metrics.model_utility.pre_compute.retain_Q_A_Prob.datasets: TOFU_QA_retain_eval
eval/tofu_metrics/../../generation@eval.tofu.metrics.forget_Q_A_ROUGE.generation_args: default
eval/tofu_metrics/../../collator@eval.tofu.metrics.forget_Q_A_ROUGE.collators: DataCollatorForSupervisedDatasetwithIndex
eval/tofu_metrics/../../data/datasets@eval.tofu.metrics.forget_Q_A_ROUGE.datasets: TOFU_QA_forget
eval/tofu_metrics/../../collator@eval.tofu.metrics.forget_Q_A_Prob.collators: DataCollatorForSupervisedDatasetwithIndex
eval/tofu_metrics/../../data/datasets@eval.tofu.metrics.forget_Q_A_Prob.datasets: TOFU_QA_forget
eval/tofu_metrics/.@eval.tofu.metrics.forget_quality.pre_compute.forget_truth_ratio: forget_Truth_Ratio
eval/tofu_metrics/./.@eval.tofu.metrics.forget_quality.pre_compute.forget_truth_ratio.pre_compute.forget_Q_A_PERT_Prob: forget_Q_A_PERT_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.forget_quality.pre_compute.forget_truth_ratio.pre_compute.forget_Q_A_PERT_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.forget_quality.pre_compute.forget_truth_ratio.pre_compute.forget_Q_A_PERT_Prob.datasets
: TOFU_QA_forget_pert
eval/tofu_metrics/./.@eval.tofu.metrics.forget_quality.pre_compute.forget_truth_ratio.pre_compute.forget_Q_A_PARA_Prob: forget_Q_A_PARA_Prob
? eval/tofu_metrics/././../../collator@eval.tofu.metrics.forget_quality.pre_compute.forget_truth_ratio.pre_compute.forget_Q_A_PARA_Prob.collators
: DataCollatorForSupervisedDatasetwithIndex
? eval/tofu_metrics/././../../data/datasets@eval.tofu.metrics.forget_quality.pre_compute.forget_truth_ratio.pre_compute.forget_Q_A_PARA_Prob.datasets
: TOFU_QA_forget_para
collator: DataCollatorForSupervisedDataset
data: unlearn
data/datasets@data.eval: null
data/datasets@data.retain: TOFU_QA_retain
data/datasets@data.forget: TOFU_QA_forget
trainer: RMU
model: Llama-3.2-3B-Instruct
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