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|
hydra:
run:
dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
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:
simple:
format: '[%(asctime)s][HYDRA] %(message)s'
handlers:
console:
class: logging.StreamHandler
formatter: simple
stream: ext://sys.stdout
root:
level: INFO
handlers:
- console
loggers:
logging_example:
level: DEBUG
disable_existing_loggers: false
job_logging:
version: 1
formatters:
simple:
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
handlers:
console:
class: logging.StreamHandler
formatter: simple
stream: ext://sys.stdout
file:
class: logging.FileHandler
formatter: simple
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.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:
- algorithm.adv_estimator=grpo
- data.train_files=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training/grpo_verl/data/session_level_reflection_grpo_train.parquet
- data.val_files=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training/grpo_verl/data/session_level_reflection_grpo_train.parquet
- data.train_batch_size=64
- data.max_prompt_length=2048
- data.max_response_length=1024
- data.filter_overlong_prompts=True
- data.truncation=error
- data.prompt_key=prompt
- data.reward_fn_key=data_source
- actor_rollout_ref.model.path=/work/nvme/bfqt/yurenh2/sft_checkpoints/checkpoint-200
- actor_rollout_ref.actor.optim.lr=1e-6
- actor_rollout_ref.model.use_remove_padding=True
- actor_rollout_ref.actor.ppo_mini_batch_size=8
- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=4
- actor_rollout_ref.actor.use_kl_loss=True
- actor_rollout_ref.actor.kl_loss_coef=0.003
- actor_rollout_ref.actor.kl_loss_type=low_var_kl
- actor_rollout_ref.actor.entropy_coeff=0
- actor_rollout_ref.model.enable_gradient_checkpointing=True
- actor_rollout_ref.actor.fsdp_config.model_dtype=bfloat16
- actor_rollout_ref.actor.fsdp_config.param_offload=False
- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
- actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=4
- actor_rollout_ref.rollout.tensor_model_parallel_size=1
- actor_rollout_ref.rollout.name=vllm
- actor_rollout_ref.rollout.gpu_memory_utilization=0.5
- actor_rollout_ref.rollout.n=8
- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=4
- actor_rollout_ref.ref.fsdp_config.model_dtype=bfloat16
- actor_rollout_ref.ref.fsdp_config.param_offload=True
- actor_rollout_ref.rollout.temperature=0.9
- actor_rollout_ref.rollout.top_p=0.9
- custom_reward_function.path=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training/grpo_verl/verl_reward_functions.py
- custom_reward_function.name=compute_score
- algorithm.use_kl_in_reward=False
- trainer.critic_warmup=0
- trainer.val_before_train=False
- trainer.logger=["console"]
- trainer.project_name=collaborative-agent-reflection-grpo
- trainer.experiment_name=llama3.1-8b-grpo
- trainer.n_gpus_per_node=2
- trainer.nnodes=1
- trainer.save_freq=50
- trainer.test_freq=100
- trainer.total_epochs=1
- trainer.default_local_dir=/scratch/bfqt/yurenh2/grpo_outputs
job:
name: main_ppo
chdir: null
override_dirname: actor_rollout_ref.actor.entropy_coeff=0,actor_rollout_ref.actor.fsdp_config.model_dtype=bfloat16,actor_rollout_ref.actor.fsdp_config.optimizer_offload=False,actor_rollout_ref.actor.fsdp_config.param_offload=False,actor_rollout_ref.actor.kl_loss_coef=0.003,actor_rollout_ref.actor.kl_loss_type=low_var_kl,actor_rollout_ref.actor.optim.lr=1e-6,actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=4,actor_rollout_ref.actor.ppo_mini_batch_size=8,actor_rollout_ref.actor.use_kl_loss=True,actor_rollout_ref.model.enable_gradient_checkpointing=True,actor_rollout_ref.model.path=/work/nvme/bfqt/yurenh2/sft_checkpoints/checkpoint-200,actor_rollout_ref.model.use_remove_padding=True,actor_rollout_ref.ref.fsdp_config.model_dtype=bfloat16,actor_rollout_ref.ref.fsdp_config.param_offload=True,actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=4,actor_rollout_ref.rollout.gpu_memory_utilization=0.5,actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=4,actor_rollout_ref.rollout.n=8,actor_rollout_ref.rollout.name=vllm,actor_rollout_ref.rollout.temperature=0.9,actor_rollout_ref.rollout.tensor_model_parallel_size=1,actor_rollout_ref.rollout.top_p=0.9,algorithm.adv_estimator=grpo,algorithm.use_kl_in_reward=False,custom_reward_function.name=compute_score,custom_reward_function.path=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training/grpo_verl/verl_reward_functions.py,data.filter_overlong_prompts=True,data.max_prompt_length=2048,data.max_response_length=1024,data.prompt_key=prompt,data.reward_fn_key=data_source,data.train_batch_size=64,data.train_files=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training/grpo_verl/data/session_level_reflection_grpo_train.parquet,data.truncation=error,data.val_files=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training/grpo_verl/data/session_level_reflection_grpo_train.parquet,trainer.critic_warmup=0,trainer.default_local_dir=/scratch/bfqt/yurenh2/grpo_outputs,trainer.experiment_name=llama3.1-8b-grpo,trainer.logger=["console"],trainer.n_gpus_per_node=2,trainer.nnodes=1,trainer.project_name=collaborative-agent-reflection-grpo,trainer.save_freq=50,trainer.test_freq=100,trainer.total_epochs=1,trainer.val_before_train=False
id: ???
num: ???
config_name: ppo_trainer
env_set: {}
env_copy: []
config:
override_dirname:
kv_sep: '='
item_sep: ','
exclude_keys: []
runtime:
version: 1.3.2
version_base: '1.3'
cwd: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training/grpo_verl
config_sources:
- path: hydra.conf
schema: pkg
provider: hydra
- path: /u/yurenh2/miniforge3/envs/eval/lib/python3.11/site-packages/verl/trainer/config
schema: file
provider: main
- path: ''
schema: structured
provider: schema
output_dir: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training/grpo_verl/outputs/2026-01-11/03-50-42
choices:
algorithm@algorithm.rollout_correction: rollout_correction
reward_model: dp_reward_loop
critic: dp_critic
critic/../engine@critic.model.fsdp_config: fsdp
critic/../optim@critic.optim: fsdp
model@actor_rollout_ref.model: hf_model
rollout@actor_rollout_ref.rollout: rollout
ref@actor_rollout_ref.ref: dp_ref
ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
data: legacy_data
actor@actor_rollout_ref.actor: dp_actor
actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
actor/../optim@actor_rollout_ref.actor.optim: fsdp
hydra/env: default
hydra/callbacks: null
hydra/job_logging: default
hydra/hydra_logging: default
hydra/hydra_help: default
hydra/help: default
hydra/sweeper: basic
hydra/launcher: basic
hydra/output: default
verbose: false
|
