bloomRL / ddpg /config.yaml
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_wandb:
value:
cli_version: 0.24.2
e:
dtyqx3vrpa9pjvvp4zpicd01ka9rgkm6:
args:
- --use_wandb
- --wandb_project_name=task1_all_kc_ddpg_gpu
- --wandb_run_name
- ddpg_gpu_iter_5
- --kc_to_que_path=data/XES3G5M/metadata/kc_questions_map.json
- --kc_emb_path=data/XES3G5M_embeddings/kc_emb.json
- --cluster_to_kc_path=data/XES3G5M/metadata/kc_clusters.json
- --cluster_to_que_path=data/XES3G5M/metadata/cluster_to_que_ids_map.json
- --pretrained_model_path=data/pretrained_kt_model.ckpt
- --dataloader_num_workers=8
- --seed
- "5"
cpu_count: 252
cpu_count_logical: 252
cudaVersion: "12.8"
disk:
/:
total: "1247017926656"
used: "916109672448"
email: maxonorris@gmail.com
executable: /mnt/pvc/Baselines/ExRec/.venv_task1/bin/python
gpu: NVIDIA A100-SXM4-40GB
gpu_count: 1
gpu_nvidia:
- architecture: Ampere
cudaCores: 6912
memoryTotal: "42949672960"
name: NVIDIA A100-SXM4-40GB
uuid: GPU-3846204b-e665-7597-2400-65aa799a57e5
host: alphamcts-run-models-ddpg-default-w9rhw-kcjn6
memory:
total: "962415210496"
os: Linux-6.8.0-55-generic-x86_64-with-glibc2.31
program: -m train_test.all_kc_train_ddpg_gpu
python: CPython 3.10.13
root: /mnt/pvc/Baselines/ExRec
startedAt: "2026-02-11T19:43:45.414843Z"
writerId: dtyqx3vrpa9pjvvp4zpicd01ka9rgkm6
m: []
python_version: 3.10.13
t:
"1":
- 1
- 5
- 53
"2":
- 1
- 5
- 53
"3":
- 2
- 13
- 15
- 16
"4": 3.10.13
"5": 0.24.2
"12": 0.24.2
"13": linux-x86_64
action_size:
value: 768
actor_lr:
value: 5e-05
batch_size:
value: 512
checkpoint_path:
value: ./ddpg_saved_models/95eda787-ab15-4aa2-b973-b6e7591eecff
cluster_to_kc_path:
value: data/XES3G5M/metadata/kc_clusters.json
cluster_to_que_path:
value: data/XES3G5M/metadata/cluster_to_que_ids_map.json
critic_hidden_size:
value: 300
critic_lr:
value: 5e-05
critic_model:
value: critic_dkt
critic_up_projection_size:
value: 1200
dataloader_num_workers:
value: 8
device:
value: cuda
exploration_noise_sigma:
value: 0.1
gamma:
value: 0.99
hidden_size:
value: 300
kc_emb_path:
value: data/XES3G5M_embeddings/kc_emb.json
kc_emb_size:
value: 768
kc_to_que_path:
value: data/XES3G5M/metadata/kc_questions_map.json
log_dir:
value: ./train_ddpg_logs
log_path:
value: ./train_ddpg_logs/95eda787-ab15-4aa2-b973-b6e7591eecff
n_epoch:
value: 100
pretrained_model_path:
value: data/pretrained_kt_model.ckpt
sample_per_epoch:
value: 20
save_dir:
value: ./ddpg_saved_models
seed:
value: 5
student_state_size:
value: 300
tau:
value: 0.95
test_batch_size:
value: 2048
test_folds:
value: "1"
test_init_seq_size:
value: 100
test_last_n_steps:
value: 10
test_log_wandb:
value: false
test_max_steps:
value: 10
test_n_episode:
value: 2048
test_reward_func:
value: step_by_step
test_reward_scale:
value: 1000
train_batch_size:
value: 512
train_folds:
value: 2-3-4
train_init_seq_size:
value: 100
train_last_n_steps:
value: 10
train_max_steps:
value: 10
train_max_steps_until_student_change:
value: 10
train_n_episode:
value: 512
train_replay_buffer_size:
value: 100
train_reward_func:
value: step_by_step
train_reward_scale:
value: 1000
use_wandb:
value: true
valid_folds:
value: "0"
wandb_project_name:
value: task1_all_kc_ddpg_gpu
wandb_run_name:
value: ddpg_gpu_iter_5