Upload folder using huggingface_hub
Browse files- README.md +1 -1
- replay.mp4 +2 -2
- sf_log.txt +407 -0
README.md
CHANGED
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@@ -15,7 +15,7 @@ model-index:
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type: doom_health_gathering_supreme
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| 16 |
metrics:
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| 17 |
- type: mean_reward
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| 18 |
-
value:
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name: mean_reward
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verified: false
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| 21 |
---
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| 15 |
type: doom_health_gathering_supreme
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| 16 |
metrics:
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| 17 |
- type: mean_reward
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| 18 |
+
value: 12.26 +/- 5.99
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name: mean_reward
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verified: false
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| 21 |
---
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replay.mp4
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:91ff73cbdab78911726578b41cb02674b1fbc3f59ba92cbaaf2016bc4f906cc8
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+
size 23924280
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sf_log.txt
CHANGED
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@@ -1040,3 +1040,410 @@ main_loop: 976.4160
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| 1040 |
[2025-01-22 16:37:34,885][00571] Avg episode rewards: #0: 23.982, true rewards: #0: 9.982
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| 1041 |
[2025-01-22 16:37:34,887][00571] Avg episode reward: 23.982, avg true_objective: 9.982
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| 1042 |
[2025-01-22 16:38:35,236][00571] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
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| 1040 |
[2025-01-22 16:37:34,885][00571] Avg episode rewards: #0: 23.982, true rewards: #0: 9.982
|
| 1041 |
[2025-01-22 16:37:34,887][00571] Avg episode reward: 23.982, avg true_objective: 9.982
|
| 1042 |
[2025-01-22 16:38:35,236][00571] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
|
| 1043 |
+
[2025-01-22 16:38:41,010][00571] The model has been pushed to https://huggingface.co/yesbut/rl_course_vizdoom_health_gathering_supreme
|
| 1044 |
+
[2025-01-22 16:39:23,351][00571] Loading legacy config file train_dir/doom_health_gathering_supreme_2222/cfg.json instead of train_dir/doom_health_gathering_supreme_2222/config.json
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| 1045 |
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[2025-01-22 16:39:23,353][00571] Loading existing experiment configuration from train_dir/doom_health_gathering_supreme_2222/config.json
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| 1046 |
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[2025-01-22 16:39:23,354][00571] Overriding arg 'experiment' with value 'doom_health_gathering_supreme_2222' passed from command line
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| 1047 |
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[2025-01-22 16:39:23,355][00571] Overriding arg 'train_dir' with value 'train_dir' passed from command line
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| 1048 |
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[2025-01-22 16:39:23,357][00571] Overriding arg 'num_workers' with value 1 passed from command line
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| 1049 |
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[2025-01-22 16:39:23,358][00571] Adding new argument 'lr_adaptive_min'=1e-06 that is not in the saved config file!
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| 1050 |
+
[2025-01-22 16:39:23,360][00571] Adding new argument 'lr_adaptive_max'=0.01 that is not in the saved config file!
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| 1051 |
+
[2025-01-22 16:39:23,362][00571] Adding new argument 'env_gpu_observations'=True that is not in the saved config file!
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| 1052 |
+
[2025-01-22 16:39:23,363][00571] Adding new argument 'no_render'=True that is not in the saved config file!
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| 1053 |
+
[2025-01-22 16:39:23,364][00571] Adding new argument 'save_video'=True that is not in the saved config file!
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| 1054 |
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[2025-01-22 16:39:23,366][00571] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
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| 1055 |
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[2025-01-22 16:39:23,367][00571] Adding new argument 'video_name'=None that is not in the saved config file!
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| 1056 |
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[2025-01-22 16:39:23,368][00571] Adding new argument 'max_num_frames'=1000000000.0 that is not in the saved config file!
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| 1057 |
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[2025-01-22 16:39:23,371][00571] Adding new argument 'max_num_episodes'=10 that is not in the saved config file!
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| 1058 |
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[2025-01-22 16:39:23,374][00571] Adding new argument 'push_to_hub'=False that is not in the saved config file!
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| 1059 |
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[2025-01-22 16:39:23,375][00571] Adding new argument 'hf_repository'=None that is not in the saved config file!
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| 1060 |
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[2025-01-22 16:39:23,386][00571] Adding new argument 'policy_index'=0 that is not in the saved config file!
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| 1061 |
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[2025-01-22 16:39:23,387][00571] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
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| 1062 |
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[2025-01-22 16:39:23,388][00571] Adding new argument 'train_script'=None that is not in the saved config file!
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| 1063 |
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[2025-01-22 16:39:23,391][00571] Adding new argument 'enjoy_script'=None that is not in the saved config file!
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| 1064 |
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[2025-01-22 16:39:23,392][00571] Using frameskip 1 and render_action_repeat=4 for evaluation
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| 1065 |
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[2025-01-22 16:39:23,417][00571] RunningMeanStd input shape: (3, 72, 128)
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| 1066 |
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[2025-01-22 16:39:23,420][00571] RunningMeanStd input shape: (1,)
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| 1067 |
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[2025-01-22 16:39:23,430][00571] ConvEncoder: input_channels=3
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| 1068 |
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[2025-01-22 16:39:23,473][00571] Conv encoder output size: 512
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| 1069 |
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[2025-01-22 16:39:23,475][00571] Policy head output size: 512
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| 1070 |
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[2025-01-22 16:39:23,496][00571] Loading state from checkpoint train_dir/doom_health_gathering_supreme_2222/checkpoint_p0/checkpoint_000539850_4422451200.pth...
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[2025-01-22 16:39:23,957][00571] Num frames 100...
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[2025-01-22 16:39:24,081][00571] Num frames 200...
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[2025-01-22 16:39:24,216][00571] Num frames 300...
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[2025-01-22 16:39:24,343][00571] Num frames 400...
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[2025-01-22 16:39:24,469][00571] Num frames 500...
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[2025-01-22 16:39:24,597][00571] Num frames 600...
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[2025-01-22 16:39:24,727][00571] Num frames 700...
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[2025-01-22 16:39:25,099][00571] Num frames 1000...
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[2025-01-22 16:39:25,615][00571] Num frames 1400...
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[2025-01-22 16:39:25,751][00571] Num frames 1500...
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[2025-01-22 16:39:25,875][00571] Num frames 1600...
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[2025-01-22 16:39:26,008][00571] Num frames 1700...
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[2025-01-22 16:39:26,136][00571] Num frames 1800...
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[2025-01-22 16:39:26,273][00571] Num frames 1900...
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[2025-01-22 16:39:26,400][00571] Num frames 2000...
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[2025-01-22 16:39:26,534][00571] Num frames 2100...
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| 1092 |
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[2025-01-22 16:39:26,586][00571] Avg episode rewards: #0: 59.999, true rewards: #0: 21.000
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| 1093 |
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[2025-01-22 16:39:26,588][00571] Avg episode reward: 59.999, avg true_objective: 21.000
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| 1094 |
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[2025-01-22 16:39:26,719][00571] Num frames 2200...
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[2025-01-22 16:39:26,844][00571] Num frames 2300...
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[2025-01-22 16:39:27,989][00571] Num frames 3200...
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[2025-01-22 16:39:28,621][00571] Num frames 3700...
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[2025-01-22 16:39:28,766][00571] Avg episode rewards: #0: 54.319, true rewards: #0: 18.820
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[2025-01-22 16:39:28,768][00571] Avg episode reward: 54.319, avg true_objective: 18.820
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[2025-01-22 16:39:28,817][00571] Num frames 3800...
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[2025-01-22 16:39:31,759][00571] Num frames 5800...
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[2025-01-22 16:39:31,925][00571] Avg episode rewards: #0: 59.212, true rewards: #0: 19.547
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[2025-01-22 16:39:31,927][00571] Avg episode reward: 59.212, avg true_objective: 19.547
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[2025-01-22 16:39:34,896][00571] Num frames 7900...
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[2025-01-22 16:39:35,033][00571] Avg episode rewards: #0: 60.159, true rewards: #0: 19.910
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[2025-01-22 16:39:35,034][00571] Avg episode reward: 60.159, avg true_objective: 19.910
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[2025-01-22 16:39:37,687][00571] Num frames 10000...
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[2025-01-22 16:39:37,832][00571] Avg episode rewards: #0: 60.527, true rewards: #0: 20.128
|
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[2025-01-22 16:39:37,833][00571] Avg episode reward: 60.527, avg true_objective: 20.128
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[2025-01-22 16:39:40,606][00571] Avg episode rewards: #0: 61.105, true rewards: #0: 20.273
|
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[2025-01-22 16:39:40,610][00571] Avg episode reward: 61.105, avg true_objective: 20.273
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[2025-01-22 16:39:43,496][00571] Avg episode rewards: #0: 62.090, true rewards: #0: 20.377
|
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[2025-01-22 16:39:43,498][00571] Avg episode reward: 62.090, avg true_objective: 20.377
|
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[2025-01-22 16:39:46,838][00571] Avg episode rewards: #0: 62.329, true rewards: #0: 20.455
|
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[2025-01-22 16:39:46,841][00571] Avg episode reward: 62.329, avg true_objective: 20.455
|
| 1250 |
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[2025-01-22 16:39:46,890][00571] Num frames 16400...
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[2025-01-22 16:39:48,063][00571] Num frames 17300...
|
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[2025-01-22 16:39:48,189][00571] Avg episode rewards: #0: 57.950, true rewards: #0: 19.284
|
| 1261 |
+
[2025-01-22 16:39:48,190][00571] Avg episode reward: 57.950, avg true_objective: 19.284
|
| 1262 |
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[2025-01-22 16:39:48,248][00571] Num frames 17400...
|
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|
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|
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|
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|
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|
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|
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[2025-01-22 16:39:50,229][00571] Num frames 18900...
|
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[2025-01-22 16:39:50,358][00571] Num frames 19000...
|
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|
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|
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+
[2025-01-22 16:39:50,883][00571] Num frames 19400...
|
| 1283 |
+
[2025-01-22 16:39:51,017][00571] Avg episode rewards: #0: 59.455, true rewards: #0: 19.456
|
| 1284 |
+
[2025-01-22 16:39:51,020][00571] Avg episode reward: 59.455, avg true_objective: 19.456
|
| 1285 |
+
[2025-01-22 16:41:46,505][00571] Replay video saved to train_dir/doom_health_gathering_supreme_2222/replay.mp4!
|
| 1286 |
+
[2025-01-22 16:43:27,367][00571] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json
|
| 1287 |
+
[2025-01-22 16:43:27,369][00571] Overriding arg 'num_workers' with value 1 passed from command line
|
| 1288 |
+
[2025-01-22 16:43:27,370][00571] Adding new argument 'no_render'=True that is not in the saved config file!
|
| 1289 |
+
[2025-01-22 16:43:27,372][00571] Adding new argument 'save_video'=True that is not in the saved config file!
|
| 1290 |
+
[2025-01-22 16:43:27,374][00571] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
|
| 1291 |
+
[2025-01-22 16:43:27,376][00571] Adding new argument 'video_name'=None that is not in the saved config file!
|
| 1292 |
+
[2025-01-22 16:43:27,377][00571] Adding new argument 'max_num_frames'=100000 that is not in the saved config file!
|
| 1293 |
+
[2025-01-22 16:43:27,379][00571] Adding new argument 'max_num_episodes'=10 that is not in the saved config file!
|
| 1294 |
+
[2025-01-22 16:43:27,381][00571] Adding new argument 'push_to_hub'=True that is not in the saved config file!
|
| 1295 |
+
[2025-01-22 16:43:27,382][00571] Adding new argument 'hf_repository'='yesbut/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file!
|
| 1296 |
+
[2025-01-22 16:43:27,383][00571] Adding new argument 'policy_index'=0 that is not in the saved config file!
|
| 1297 |
+
[2025-01-22 16:43:27,386][00571] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
|
| 1298 |
+
[2025-01-22 16:43:27,387][00571] Adding new argument 'train_script'=None that is not in the saved config file!
|
| 1299 |
+
[2025-01-22 16:43:27,388][00571] Adding new argument 'enjoy_script'=None that is not in the saved config file!
|
| 1300 |
+
[2025-01-22 16:43:27,389][00571] Using frameskip 1 and render_action_repeat=4 for evaluation
|
| 1301 |
+
[2025-01-22 16:43:27,414][00571] RunningMeanStd input shape: (3, 72, 128)
|
| 1302 |
+
[2025-01-22 16:43:27,416][00571] RunningMeanStd input shape: (1,)
|
| 1303 |
+
[2025-01-22 16:43:27,429][00571] ConvEncoder: input_channels=3
|
| 1304 |
+
[2025-01-22 16:43:27,463][00571] Conv encoder output size: 512
|
| 1305 |
+
[2025-01-22 16:43:27,465][00571] Policy head output size: 512
|
| 1306 |
+
[2025-01-22 16:43:27,483][00571] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000929_3805184.pth...
|
| 1307 |
+
[2025-01-22 16:43:27,925][00571] Num frames 100...
|
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|
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|
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|
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|
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|
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|
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|
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|
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+
[2025-01-22 16:43:30,497][00571] Num frames 2100...
|
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+
[2025-01-22 16:43:30,550][00571] Avg episode rewards: #0: 58.999, true rewards: #0: 21.000
|
| 1329 |
+
[2025-01-22 16:43:30,551][00571] Avg episode reward: 58.999, avg true_objective: 21.000
|
| 1330 |
+
[2025-01-22 16:43:30,676][00571] Num frames 2200...
|
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+
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|
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|
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[2025-01-22 16:43:31,196][00571] Num frames 2600...
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[2025-01-22 16:43:31,610][00571] Num frames 2900...
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[2025-01-22 16:43:31,745][00571] Num frames 3000...
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[2025-01-22 16:43:31,868][00571] Num frames 3100...
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[2025-01-22 16:43:32,001][00571] Num frames 3200...
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[2025-01-22 16:43:32,127][00571] Num frames 3300...
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[2025-01-22 16:43:32,202][00571] Avg episode rewards: #0: 44.080, true rewards: #0: 16.580
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[2025-01-22 16:43:32,204][00571] Avg episode reward: 44.080, avg true_objective: 16.580
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[2025-01-22 16:43:32,307][00571] Num frames 3400...
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[2025-01-22 16:43:32,428][00571] Num frames 3500...
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[2025-01-22 16:43:32,551][00571] Num frames 3600...
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[2025-01-22 16:43:32,673][00571] Num frames 3700...
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[2025-01-22 16:43:32,802][00571] Num frames 3800...
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[2025-01-22 16:43:32,931][00571] Num frames 3900...
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[2025-01-22 16:43:33,064][00571] Num frames 4000...
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[2025-01-22 16:43:33,189][00571] Num frames 4100...
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[2025-01-22 16:43:33,314][00571] Num frames 4200...
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[2025-01-22 16:43:33,441][00571] Num frames 4300...
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[2025-01-22 16:43:33,565][00571] Num frames 4400...
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[2025-01-22 16:43:33,686][00571] Num frames 4500...
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[2025-01-22 16:43:33,816][00571] Num frames 4600...
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[2025-01-22 16:43:33,945][00571] Num frames 4700...
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[2025-01-22 16:43:34,074][00571] Num frames 4800...
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[2025-01-22 16:43:34,228][00571] Avg episode rewards: #0: 41.263, true rewards: #0: 16.263
|
| 1360 |
+
[2025-01-22 16:43:34,229][00571] Avg episode reward: 41.263, avg true_objective: 16.263
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[2025-01-22 16:43:34,257][00571] Num frames 4900...
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[2025-01-22 16:43:34,382][00571] Num frames 5000...
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[2025-01-22 16:43:34,509][00571] Num frames 5100...
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[2025-01-22 16:43:34,640][00571] Num frames 5200...
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[2025-01-22 16:43:34,778][00571] Num frames 5300...
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[2025-01-22 16:43:34,902][00571] Num frames 5400...
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[2025-01-22 16:43:35,035][00571] Num frames 5500...
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[2025-01-22 16:43:35,165][00571] Num frames 5600...
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[2025-01-22 16:43:35,292][00571] Num frames 5700...
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[2025-01-22 16:43:35,414][00571] Num frames 5800...
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[2025-01-22 16:43:35,540][00571] Num frames 5900...
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[2025-01-22 16:43:35,676][00571] Avg episode rewards: #0: 37.657, true rewards: #0: 14.907
|
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[2025-01-22 16:43:35,677][00571] Avg episode reward: 37.657, avg true_objective: 14.907
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[2025-01-22 16:43:35,735][00571] Num frames 6000...
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[2025-01-22 16:43:35,862][00571] Num frames 6100...
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[2025-01-22 16:43:35,985][00571] Num frames 6200...
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[2025-01-22 16:43:36,122][00571] Num frames 6300...
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[2025-01-22 16:43:36,246][00571] Num frames 6400...
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[2025-01-22 16:43:36,370][00571] Num frames 6500...
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[2025-01-22 16:43:36,493][00571] Num frames 6600...
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[2025-01-22 16:43:36,625][00571] Num frames 6700...
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[2025-01-22 16:43:36,755][00571] Num frames 6800...
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[2025-01-22 16:43:36,904][00571] Num frames 6900...
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[2025-01-22 16:43:37,075][00571] Num frames 7000...
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[2025-01-22 16:43:37,623][00571] Num frames 7300...
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[2025-01-22 16:43:37,794][00571] Num frames 7400...
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[2025-01-22 16:43:37,961][00571] Num frames 7500...
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[2025-01-22 16:43:38,129][00571] Num frames 7600...
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[2025-01-22 16:43:38,296][00571] Num frames 7700...
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[2025-01-22 16:43:38,467][00571] Num frames 7800...
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[2025-01-22 16:43:38,642][00571] Num frames 7900...
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+
[2025-01-22 16:43:38,827][00571] Num frames 8000...
|
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[2025-01-22 16:43:38,905][00571] Avg episode rewards: #0: 40.822, true rewards: #0: 16.022
|
| 1396 |
+
[2025-01-22 16:43:38,907][00571] Avg episode reward: 40.822, avg true_objective: 16.022
|
| 1397 |
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[2025-01-22 16:43:39,061][00571] Num frames 8100...
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[2025-01-22 16:43:39,242][00571] Num frames 8200...
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| 1399 |
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[2025-01-22 16:43:39,406][00571] Num frames 8300...
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| 1400 |
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[2025-01-22 16:43:39,532][00571] Num frames 8400...
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[2025-01-22 16:43:39,668][00571] Num frames 8500...
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[2025-01-22 16:43:39,800][00571] Num frames 8600...
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[2025-01-22 16:43:39,928][00571] Num frames 8700...
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[2025-01-22 16:43:40,054][00571] Num frames 8800...
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[2025-01-22 16:43:40,192][00571] Num frames 8900...
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+
[2025-01-22 16:43:40,316][00571] Num frames 9000...
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[2025-01-22 16:43:40,377][00571] Avg episode rewards: #0: 37.838, true rewards: #0: 15.005
|
| 1408 |
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[2025-01-22 16:43:40,378][00571] Avg episode reward: 37.838, avg true_objective: 15.005
|
| 1409 |
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[2025-01-22 16:43:40,500][00571] Num frames 9100...
|
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[2025-01-22 16:43:40,628][00571] Num frames 9200...
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[2025-01-22 16:43:40,762][00571] Avg episode rewards: #0: 32.798, true rewards: #0: 13.227
|
| 1412 |
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[2025-01-22 16:43:40,763][00571] Avg episode reward: 32.798, avg true_objective: 13.227
|
| 1413 |
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[2025-01-22 16:43:40,815][00571] Num frames 9300...
|
| 1414 |
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[2025-01-22 16:43:40,938][00571] Num frames 9400...
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| 1415 |
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[2025-01-22 16:43:41,061][00571] Num frames 9500...
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[2025-01-22 16:43:41,190][00571] Num frames 9600...
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[2025-01-22 16:43:41,323][00571] Num frames 9700...
|
| 1418 |
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[2025-01-22 16:43:41,375][00571] Avg episode rewards: #0: 29.750, true rewards: #0: 12.125
|
| 1419 |
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[2025-01-22 16:43:41,376][00571] Avg episode reward: 29.750, avg true_objective: 12.125
|
| 1420 |
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[2025-01-22 16:43:41,503][00571] Num frames 9800...
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[2025-01-22 16:43:41,630][00571] Num frames 9900...
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[2025-01-22 16:43:41,765][00571] Num frames 10000...
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[2025-01-22 16:43:41,890][00571] Num frames 10100...
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[2025-01-22 16:43:42,011][00571] Num frames 10200...
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[2025-01-22 16:43:42,137][00571] Num frames 10300...
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[2025-01-22 16:43:42,269][00571] Num frames 10400...
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+
[2025-01-22 16:43:42,390][00571] Num frames 10500...
|
| 1428 |
+
[2025-01-22 16:43:42,485][00571] Avg episode rewards: #0: 28.147, true rewards: #0: 11.702
|
| 1429 |
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[2025-01-22 16:43:42,486][00571] Avg episode reward: 28.147, avg true_objective: 11.702
|
| 1430 |
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[2025-01-22 16:43:42,571][00571] Num frames 10600...
|
| 1431 |
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[2025-01-22 16:43:42,696][00571] Num frames 10700...
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[2025-01-22 16:43:42,825][00571] Num frames 10800...
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[2025-01-22 16:43:42,949][00571] Num frames 10900...
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[2025-01-22 16:43:43,072][00571] Num frames 11000...
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[2025-01-22 16:43:43,194][00571] Num frames 11100...
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| 1436 |
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[2025-01-22 16:43:43,328][00571] Num frames 11200...
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[2025-01-22 16:43:43,451][00571] Num frames 11300...
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[2025-01-22 16:43:43,577][00571] Num frames 11400...
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[2025-01-22 16:43:43,711][00571] Num frames 11500...
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[2025-01-22 16:43:43,842][00571] Num frames 11600...
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[2025-01-22 16:43:43,965][00571] Num frames 11700...
|
| 1442 |
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[2025-01-22 16:43:44,091][00571] Num frames 11800...
|
| 1443 |
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[2025-01-22 16:43:44,216][00571] Num frames 11900...
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| 1444 |
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[2025-01-22 16:43:44,347][00571] Num frames 12000...
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[2025-01-22 16:43:44,474][00571] Num frames 12100...
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+
[2025-01-22 16:43:44,601][00571] Num frames 12200...
|
| 1447 |
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[2025-01-22 16:43:44,737][00571] Avg episode rewards: #0: 29.660, true rewards: #0: 12.260
|
| 1448 |
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[2025-01-22 16:43:44,739][00571] Avg episode reward: 29.660, avg true_objective: 12.260
|
| 1449 |
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[2025-01-22 16:44:59,770][00571] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
|