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README.md CHANGED Viewed

@@ -15,7 +15,7 @@ model-index:
       type: doom_health_gathering_supreme
     metrics:
     - type: mean_reward
-      value: 4.56 +/- 0.74
       name: mean_reward
       verified: false
 ---
@@ -49,7 +49,7 @@ See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details
 To continue training with this model, use the `train` script corresponding to this environment:
 ```
-python -m .usr.local.lib.python3.10.dist-packages.ipykernel_launcher --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=rl_course_vizdoom_health_gathering_supreme --restart_behavior=resume --train_for_env_steps=10000000000
 ```
 Note, you may have to adjust `--train_for_env_steps` to a suitably high number as the experiment will resume at the number of steps it concluded at.

       type: doom_health_gathering_supreme
     metrics:
     - type: mean_reward
+      value: 5.47 +/- 2.00
       name: mean_reward
       verified: false
 ---
 To continue training with this model, use the `train` script corresponding to this environment:
 ```
+python -m <path.to.train.module> --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=rl_course_vizdoom_health_gathering_supreme --restart_behavior=resume --train_for_env_steps=10000000000
 ```
 Note, you may have to adjust `--train_for_env_steps` to a suitably high number as the experiment will resume at the number of steps it concluded at.

cfg.json CHANGED Viewed

@@ -63,7 +63,7 @@
   "summaries_use_frameskip": true,
   "heartbeat_interval": 20,
   "heartbeat_reporting_interval": 600,
-  "train_for_env_steps": 25000,
   "train_for_seconds": 10000000000,
   "save_every_sec": 120,
   "keep_checkpoints": 2,

   "summaries_use_frameskip": true,
   "heartbeat_interval": 20,
   "heartbeat_reporting_interval": 600,
+  "train_for_env_steps": 4000000,
   "train_for_seconds": 10000000000,
   "save_every_sec": 120,
   "keep_checkpoints": 2,

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config.json CHANGED Viewed

@@ -46,6 +46,8 @@
   "learning_rate": 0.0001,
   "lr_schedule": "constant",
   "lr_schedule_kl_threshold": 0.008,
   "obs_subtract_mean": 0.0,
   "obs_scale": 255.0,
   "normalize_input": true,
@@ -63,7 +65,7 @@
   "summaries_use_frameskip": true,
   "heartbeat_interval": 20,
   "heartbeat_reporting_interval": 600,
-  "train_for_env_steps": 25000,
   "train_for_seconds": 10000000000,
   "save_every_sec": 120,
   "keep_checkpoints": 2,
@@ -136,8 +138,5 @@
     "train_for_env_steps": 4000000
   },
   "git_hash": "unknown",
-  "git_repo_name": "not a git repository",
-  "train_script": ".usr.local.lib.python3.10.dist-packages.ipykernel_launcher",
-  "lr_adaptive_min": 1e-06,
-  "lr_adaptive_max": 0.01
 }

   "learning_rate": 0.0001,
   "lr_schedule": "constant",
   "lr_schedule_kl_threshold": 0.008,
+  "lr_adaptive_min": 1e-06,
+  "lr_adaptive_max": 0.01,
   "obs_subtract_mean": 0.0,
   "obs_scale": 255.0,
   "normalize_input": true,
   "summaries_use_frameskip": true,
   "heartbeat_interval": 20,
   "heartbeat_reporting_interval": 600,
+  "train_for_env_steps": 4000000,
   "train_for_seconds": 10000000000,
   "save_every_sec": 120,
   "keep_checkpoints": 2,
     "train_for_env_steps": 4000000
   },
   "git_hash": "unknown",
+  "git_repo_name": "not a git repository"
 }

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sf_log.txt CHANGED Viewed

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