Update simplified__first_attack checkpoint metadata

metadata/resolved_config.yaml

@@ -0,0 +1,150 @@
+config_path: /home/molfetta/combinatorial_reasoning_post_training/data/supported_training/runs/main5_hf_bot_mode_recovery_50k_20260522/configs/simplified__first_attack.yaml
+cli_args:
+  game: null
+  config: /home/molfetta/combinatorial_reasoning_post_training/data/supported_training/runs/main5_hf_bot_mode_recovery_50k_20260522/configs/simplified__first_attack.yaml
+  list_games: false
+  algo: null
+  num_simulations: null
+  batch_size: null
+  update_per_collect: null
+  lr: null
+  seed: null
+  max_env_step: null
+  num_res_blocks: null
+  num_channels: null
+  replay_buffer_size: null
+  num_unroll_steps: null
+  reanalyze_ratio: null
+  battle_mode: null
+  no_wandb: false
+  cpu: false
+  torch_num_threads: 4
+  torch_num_interop_threads: 1
+  no_checkpoints: false
+  ckpt_dir: /home/molfetta/combinatorial_reasoning_post_training/models/main5_hf_bot_mode_recovery_50k_20260522/simplified__first_attack/attempt-01
+  model_path: null
+  ckpt_every_env_steps: null
+  max_checkpoints_to_keep: null
+  best_ckpt_strategy: null
+  best_ckpt_ema_alpha: null
+  best_ckpt_min_episodes: null
+  eval_every_train_iters: null
+  eval_every_env_steps: null
+  eval_every_env_step_ratio: null
+  eval_opponent_type: null
+  fixed_bot_evaluator_type: null
+  no_fixed_bot_seat_swap: false
+  eval_opponent_checkpoint_path: null
+  eval_opponent_checkpoint_selector: null
+  eval_opponent_update_policy: null
+  eval_opponent_num_simulations: null
+  eval_opponent_episodes: null
+  eval_opponent_env_num: null
+  eval_opponent_promotion_threshold: null
+  eval_opponent_fallback_to_env_bot: false
+  wandb_project: crpt-simplified5-corrected-quality
+  wandb_run_name: main5_hf_bot_mode_recovery_50k_20260522__simplified__first_attack__a01
+  wandb_group: main5_hf_bot_mode_recovery_50k_20260522
+  wandb_run_id: crpt-cb73f8ff7f8fa54600a2
+  wandb_dir: /home/molfetta/combinatorial_reasoning_post_training/data/supported_training/runs/main5_hf_bot_mode_recovery_50k_20260522/wandb
+model_info:
+  policy_type: efficientzero
+  model_class: EfficientZeroModel
+  trainable_params: 6742822
+  model_config:
+    observation_shape:
+    - 3
+    - 6
+    - 6
+    action_space_size: 36
+    image_channel: 3
+    num_res_blocks: 1
+    num_channels: 32
+  num_res_blocks: 1
+  num_channels: 32
+  observation_shape:
+  - 3
+  - 6
+  - 6
+  action_space_size: 36
+  image_channel: 3
+resolved_main_config:
+  exp_name: /home/molfetta/combinatorial_reasoning_post_training/models/main5_hf_bot_mode_recovery_50k_20260522/simplified__first_attack/attempt-01
+  env:
+    battle_mode: play_with_bot_mode
+    bot_action_type: rule
+    channel_last: false
+    collector_env_num: 32
+    evaluator_env_num: 20
+    n_evaluator_episode: 20
+    manager:
+      shared_memory: false
+    battle_mode_in_simulation_env: self_play_mode
+    prob_random_action_in_bot: 0.0
+    collector_bot_mode_seat_swap: true
+    collector_bot_mode_live_seat_weights:
+      '1': 0.25
+      '2': 0.75
+  policy:
+    model:
+      observation_shape:
+      - 3
+      - 6
+      - 6
+      action_space_size: 36
+      image_channel: 3
+      num_res_blocks: 1
+      num_channels: 32
+    model_path: /home/molfetta/combinatorial_reasoning_post_training/models/main5_hf_bot_mode_200k_collector_tuned_20260522/simplified__first_attack/attempt-01_260522_142417/ckpt/envstep_100000.pth.tar
+    cuda: true
+    env_type: board_games
+    action_type: varied_action_space
+    game_segment_length: 5
+    update_per_collect: 25
+    batch_size: 256
+    optim_type: Adam
+    learning_rate: 0.003
+    grad_clip_value: 0.5
+    num_simulations: 50
+    reanalyze_ratio: 0.0
+    td_steps: 5
+    discount_factor: 1
+    n_episode: 32
+    eval_freq: 150001
+    replay_buffer_size: 50000
+    collector_env_num: 32
+    evaluator_env_num: 20
+    use_wandb: true
+    best_ckpt_strategy: raw
+    best_ckpt_ema_alpha: 0.3
+    best_ckpt_min_episodes: 20
+    num_unroll_steps: 5
+    battle_mode: play_with_bot_mode
+    battle_mode_in_simulation_env: self_play_mode
+    piecewise_decay_lr_scheduler: false
+    mcts_ctree: true
+    eval_opponent_type: env_bot
+    fixed_bot_evaluator:
+      type: arena
+      seat_swap: true
+    previous_best_checkpoint:
+      path: null
+      selector: best
+      update_policy: on_new_best
+      num_simulations: null
+      n_evaluator_episode: null
+      evaluator_env_num: null
+      promotion_threshold: 0.0
+      fallback_to_env_bot: false
+    device: cuda
+resolved_create_config:
+  env:
+    type: simplified__first_attack
+    import_names:
+    - custom_games_simplified.simplified__first_attack.envs.first_attack_env
+  env_manager:
+    type: subprocess
+  policy:
+    type: efficientzero
+    import_names:
+    - lzero.policy.efficientzero