| _wandb: |
| value: |
| cli_version: 0.24.2 |
| e: |
| qcdi22ukarb6j9eaa9zdvcf071dpokhe: |
| args: |
| - --critic_model=kc_critic |
| - --tau=0.01 |
| - --gamma=0.99 |
| - --alpha=0.2 |
| - --deterministic_eval |
| - --use_wandb |
| - --wandb_project_name=task1_all_kc |
| - --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 |
| cpu_count: 252 |
| cpu_count_logical: 252 |
| cudaVersion: "12.8" |
| disk: |
| /: |
| total: "1247017926656" |
| used: "1009524301824" |
| 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-9eeabb71-b91e-7c73-fdfa-2a82ba07419b |
| host: alphamcts-run-models-sac-default-mlbt2-vx58r |
| memory: |
| total: "962415218688" |
| os: Linux-6.8.0-55-generic-x86_64-with-glibc2.31 |
| program: -m train_test.all_kc_train_sac |
| python: CPython 3.10.13 |
| root: /mnt/pvc/Baselines/ExRec |
| startedAt: "2026-02-11T12:57:30.343577Z" |
| writerId: qcdi22ukarb6j9eaa9zdvcf071dpokhe |
| 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 |
| actor_up_projection_size: |
| value: 1200 |
| alpha: |
| value: 0.2 |
| batch_size: |
| value: 256 |
| checkpoint_path: |
| value: ./sac_saved_models/809bac22-9839-46c9-8fcc-8d35ff70efa1 |
| 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: kc_critic |
| critic_up_projection_size: |
| value: 1200 |
| dataloader_num_workers: |
| value: 8 |
| deterministic_eval: |
| value: true |
| 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_sac_logs |
| log_path: |
| value: ./train_sac_logs/809bac22-9839-46c9-8fcc-8d35ff70efa1 |
| n_epoch: |
| value: 100 |
| pretrained_model_path: |
| value: data/pretrained_kt_model.ckpt |
| sample_per_epoch: |
| value: 20 |
| save_dir: |
| value: ./sac_saved_models |
| seed: |
| value: 42 |
| student_state_size: |
| value: 300 |
| tau: |
| value: 0.01 |
| test_batch_size: |
| value: 2048 |
| 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: 128 |
| 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: 128 |
| train_replay_buffer_size: |
| value: 100 |
| train_reward_func: |
| value: step_by_step |
| train_reward_scale: |
| value: 1000 |
| use_wandb: |
| value: true |
| valid_batch_size: |
| value: 1024 |
| wandb_project_name: |
| value: task1_all_kc |
| wandb_run_name: |
| value: sac |
|
|
