Upload . with huggingface_hub

README.md

@@ -15,7 +15,7 @@ model-index:
       type: doom_health_gathering_supreme
     metrics:
     - type: mean_reward
-      value: 8.54 +/- 3.61
+      value: 11.55 +/- 4.42
       name: mean_reward
       verified: false
 ---

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eee20367a98fefdf3865fd210582350f5ea5ba8da7edebcd1c6e73852c3068c0
-size 15649232
+oid sha256:d3f4a92de0bd9c2d08de26d0d442304aadce5c697897c0245ff93b96170429fa
+size 21112061

sf_log.txt

@@ -1110,3 +1110,161 @@ main_loop: 1084.7122
 [2023-02-24 23:05:29,909][00267] Avg episode rewards: #0: 17.644, true rewards: #0: 8.544
 [2023-02-24 23:05:29,910][00267] Avg episode reward: 17.644, avg true_objective: 8.544
 [2023-02-24 23:06:22,773][00267] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
+[2023-02-24 23:06:34,800][00267] The model has been pushed to https://huggingface.co/Artachtron/rl_course_vizdoom_health_gathering_supreme
+[2023-02-24 23:07:08,926][00267] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json
+[2023-02-24 23:07:08,928][00267] Overriding arg 'num_workers' with value 1 passed from command line
+[2023-02-24 23:07:08,930][00267] Adding new argument 'no_render'=True that is not in the saved config file!
+[2023-02-24 23:07:08,932][00267] Adding new argument 'save_video'=True that is not in the saved config file!
+[2023-02-24 23:07:08,934][00267] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
+[2023-02-24 23:07:08,936][00267] Adding new argument 'video_name'=None that is not in the saved config file!
+[2023-02-24 23:07:08,938][00267] Adding new argument 'max_num_frames'=100000 that is not in the saved config file!
+[2023-02-24 23:07:08,944][00267] Adding new argument 'max_num_episodes'=10 that is not in the saved config file!
+[2023-02-24 23:07:08,947][00267] Adding new argument 'push_to_hub'=True that is not in the saved config file!
+[2023-02-24 23:07:08,948][00267] Adding new argument 'hf_repository'='Artachtron/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file!
+[2023-02-24 23:07:08,950][00267] Adding new argument 'policy_index'=0 that is not in the saved config file!
+[2023-02-24 23:07:08,952][00267] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
+[2023-02-24 23:07:08,954][00267] Adding new argument 'train_script'=None that is not in the saved config file!
+[2023-02-24 23:07:08,955][00267] Adding new argument 'enjoy_script'=None that is not in the saved config file!
+[2023-02-24 23:07:08,958][00267] Using frameskip 1 and render_action_repeat=4 for evaluation
+[2023-02-24 23:07:08,985][00267] RunningMeanStd input shape: (3, 72, 128)
+[2023-02-24 23:07:08,990][00267] RunningMeanStd input shape: (1,)
+[2023-02-24 23:07:09,010][00267] ConvEncoder: input_channels=3
+[2023-02-24 23:07:09,067][00267] Conv encoder output size: 512
+[2023-02-24 23:07:09,072][00267] Policy head output size: 512
+[2023-02-24 23:07:09,101][00267] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth...
+[2023-02-24 23:07:09,630][00267] Num frames 100...
+[2023-02-24 23:07:09,740][00267] Num frames 200...
+[2023-02-24 23:07:09,852][00267] Num frames 300...
+[2023-02-24 23:07:09,975][00267] Num frames 400...
+[2023-02-24 23:07:10,084][00267] Num frames 500...
+[2023-02-24 23:07:10,194][00267] Num frames 600...
+[2023-02-24 23:07:10,304][00267] Num frames 700...
+[2023-02-24 23:07:10,416][00267] Num frames 800...
+[2023-02-24 23:07:10,529][00267] Num frames 900...
+[2023-02-24 23:07:10,642][00267] Num frames 1000...
+[2023-02-24 23:07:10,755][00267] Num frames 1100...
+[2023-02-24 23:07:10,869][00267] Avg episode rewards: #0: 24.520, true rewards: #0: 11.520
+[2023-02-24 23:07:10,871][00267] Avg episode reward: 24.520, avg true_objective: 11.520
+[2023-02-24 23:07:10,927][00267] Num frames 1200...
+[2023-02-24 23:07:11,045][00267] Num frames 1300...
+[2023-02-24 23:07:11,158][00267] Num frames 1400...
+[2023-02-24 23:07:11,269][00267] Num frames 1500...
+[2023-02-24 23:07:11,382][00267] Num frames 1600...
+[2023-02-24 23:07:11,494][00267] Num frames 1700...
+[2023-02-24 23:07:11,625][00267] Num frames 1800...
+[2023-02-24 23:07:11,748][00267] Num frames 1900...
+[2023-02-24 23:07:11,872][00267] Num frames 2000...
+[2023-02-24 23:07:11,991][00267] Num frames 2100...
+[2023-02-24 23:07:12,106][00267] Num frames 2200...
+[2023-02-24 23:07:12,219][00267] Num frames 2300...
+[2023-02-24 23:07:12,334][00267] Num frames 2400...
+[2023-02-24 23:07:12,454][00267] Num frames 2500...
+[2023-02-24 23:07:12,593][00267] Avg episode rewards: #0: 27.380, true rewards: #0: 12.880
+[2023-02-24 23:07:12,595][00267] Avg episode reward: 27.380, avg true_objective: 12.880
+[2023-02-24 23:07:12,626][00267] Num frames 2600...
+[2023-02-24 23:07:12,737][00267] Num frames 2700...
+[2023-02-24 23:07:12,848][00267] Num frames 2800...
+[2023-02-24 23:07:12,968][00267] Num frames 2900...
+[2023-02-24 23:07:13,084][00267] Num frames 3000...
+[2023-02-24 23:07:13,201][00267] Num frames 3100...
+[2023-02-24 23:07:13,313][00267] Num frames 3200...
+[2023-02-24 23:07:13,424][00267] Avg episode rewards: #0: 23.160, true rewards: #0: 10.827
+[2023-02-24 23:07:13,425][00267] Avg episode reward: 23.160, avg true_objective: 10.827
+[2023-02-24 23:07:13,487][00267] Num frames 3300...
+[2023-02-24 23:07:13,598][00267] Num frames 3400...
+[2023-02-24 23:07:13,709][00267] Num frames 3500...
+[2023-02-24 23:07:13,831][00267] Num frames 3600...
+[2023-02-24 23:07:13,945][00267] Num frames 3700...
+[2023-02-24 23:07:14,062][00267] Num frames 3800...
+[2023-02-24 23:07:14,178][00267] Num frames 3900...
+[2023-02-24 23:07:14,296][00267] Num frames 4000...
+[2023-02-24 23:07:14,421][00267] Num frames 4100...
+[2023-02-24 23:07:14,545][00267] Num frames 4200...
+[2023-02-24 23:07:14,669][00267] Num frames 4300...
+[2023-02-24 23:07:14,791][00267] Num frames 4400...
+[2023-02-24 23:07:14,910][00267] Num frames 4500...
+[2023-02-24 23:07:15,031][00267] Num frames 4600...
+[2023-02-24 23:07:15,194][00267] Avg episode rewards: #0: 24.720, true rewards: #0: 11.720
+[2023-02-24 23:07:15,196][00267] Avg episode reward: 24.720, avg true_objective: 11.720
+[2023-02-24 23:07:15,214][00267] Num frames 4700...
+[2023-02-24 23:07:15,339][00267] Num frames 4800...
+[2023-02-24 23:07:15,454][00267] Num frames 4900...
+[2023-02-24 23:07:15,566][00267] Num frames 5000...
+[2023-02-24 23:07:15,682][00267] Num frames 5100...
+[2023-02-24 23:07:15,803][00267] Num frames 5200...
+[2023-02-24 23:07:15,965][00267] Avg episode rewards: #0: 21.592, true rewards: #0: 10.592
+[2023-02-24 23:07:15,968][00267] Avg episode reward: 21.592, avg true_objective: 10.592
+[2023-02-24 23:07:15,976][00267] Num frames 5300...
+[2023-02-24 23:07:16,094][00267] Num frames 5400...
+[2023-02-24 23:07:16,204][00267] Num frames 5500...
+[2023-02-24 23:07:16,320][00267] Num frames 5600...
+[2023-02-24 23:07:16,430][00267] Num frames 5700...
+[2023-02-24 23:07:16,544][00267] Num frames 5800...
+[2023-02-24 23:07:16,655][00267] Num frames 5900...
+[2023-02-24 23:07:16,777][00267] Num frames 6000...
+[2023-02-24 23:07:16,829][00267] Avg episode rewards: #0: 20.167, true rewards: #0: 10.000
+[2023-02-24 23:07:16,831][00267] Avg episode reward: 20.167, avg true_objective: 10.000
+[2023-02-24 23:07:16,945][00267] Num frames 6100...
+[2023-02-24 23:07:17,059][00267] Num frames 6200...
+[2023-02-24 23:07:17,184][00267] Num frames 6300...
+[2023-02-24 23:07:17,295][00267] Num frames 6400...
+[2023-02-24 23:07:17,411][00267] Num frames 6500...
+[2023-02-24 23:07:17,526][00267] Num frames 6600...
+[2023-02-24 23:07:17,647][00267] Num frames 6700...
+[2023-02-24 23:07:17,745][00267] Avg episode rewards: #0: 19.337, true rewards: #0: 9.623
+[2023-02-24 23:07:17,746][00267] Avg episode reward: 19.337, avg true_objective: 9.623
+[2023-02-24 23:07:17,822][00267] Num frames 6800...
+[2023-02-24 23:07:17,935][00267] Num frames 6900...
+[2023-02-24 23:07:18,055][00267] Num frames 7000...
+[2023-02-24 23:07:18,171][00267] Num frames 7100...
+[2023-02-24 23:07:18,284][00267] Num frames 7200...
+[2023-02-24 23:07:18,396][00267] Num frames 7300...
+[2023-02-24 23:07:18,511][00267] Num frames 7400...
+[2023-02-24 23:07:18,625][00267] Num frames 7500...
+[2023-02-24 23:07:18,739][00267] Num frames 7600...
+[2023-02-24 23:07:18,848][00267] Num frames 7700...
+[2023-02-24 23:07:18,970][00267] Num frames 7800...
+[2023-02-24 23:07:19,085][00267] Num frames 7900...
+[2023-02-24 23:07:19,203][00267] Num frames 8000...
+[2023-02-24 23:07:19,313][00267] Num frames 8100...
+[2023-02-24 23:07:19,447][00267] Num frames 8200...
+[2023-02-24 23:07:19,622][00267] Avg episode rewards: #0: 21.090, true rewards: #0: 10.340
+[2023-02-24 23:07:19,625][00267] Avg episode reward: 21.090, avg true_objective: 10.340
+[2023-02-24 23:07:19,672][00267] Num frames 8300...
+[2023-02-24 23:07:19,836][00267] Num frames 8400...
+[2023-02-24 23:07:19,990][00267] Num frames 8500...
+[2023-02-24 23:07:20,153][00267] Num frames 8600...
+[2023-02-24 23:07:20,310][00267] Num frames 8700...
+[2023-02-24 23:07:20,468][00267] Num frames 8800...
+[2023-02-24 23:07:20,623][00267] Num frames 8900...
+[2023-02-24 23:07:20,783][00267] Num frames 9000...
+[2023-02-24 23:07:20,942][00267] Num frames 9100...
+[2023-02-24 23:07:21,100][00267] Num frames 9200...
+[2023-02-24 23:07:21,268][00267] Num frames 9300...
+[2023-02-24 23:07:21,433][00267] Num frames 9400...
+[2023-02-24 23:07:21,593][00267] Num frames 9500...
+[2023-02-24 23:07:21,719][00267] Avg episode rewards: #0: 22.158, true rewards: #0: 10.602
+[2023-02-24 23:07:21,721][00267] Avg episode reward: 22.158, avg true_objective: 10.602
+[2023-02-24 23:07:21,815][00267] Num frames 9600...
+[2023-02-24 23:07:21,985][00267] Num frames 9700...
+[2023-02-24 23:07:22,151][00267] Num frames 9800...
+[2023-02-24 23:07:22,327][00267] Num frames 9900...
+[2023-02-24 23:07:22,490][00267] Num frames 10000...
+[2023-02-24 23:07:22,650][00267] Num frames 10100...
+[2023-02-24 23:07:22,815][00267] Num frames 10200...
+[2023-02-24 23:07:22,958][00267] Num frames 10300...
+[2023-02-24 23:07:23,069][00267] Num frames 10400...
+[2023-02-24 23:07:23,183][00267] Num frames 10500...
+[2023-02-24 23:07:23,305][00267] Num frames 10600...
+[2023-02-24 23:07:23,423][00267] Num frames 10700...
+[2023-02-24 23:07:23,541][00267] Num frames 10800...
+[2023-02-24 23:07:23,657][00267] Num frames 10900...
+[2023-02-24 23:07:23,774][00267] Num frames 11000...
+[2023-02-24 23:07:23,895][00267] Num frames 11100...
+[2023-02-24 23:07:24,011][00267] Num frames 11200...
+[2023-02-24 23:07:24,122][00267] Num frames 11300...
+[2023-02-24 23:07:24,238][00267] Num frames 11400...
+[2023-02-24 23:07:24,357][00267] Num frames 11500...
+[2023-02-24 23:07:24,477][00267] Avg episode rewards: #0: 25.250, true rewards: #0: 11.550
+[2023-02-24 23:07:24,478][00267] Avg episode reward: 25.250, avg true_objective: 11.550
+[2023-02-24 23:08:31,463][00267] Replay video saved to /content/train_dir/default_experiment/replay.mp4!