Upload folder using huggingface_hub
Browse files- README.md +1 -1
- replay.mp4 +2 -2
- sf_log.txt +145 -0
README.md
CHANGED
@@ -15,7 +15,7 @@ model-index:
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type: doom_health_gathering_supreme
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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type: doom_health_gathering_supreme
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metrics:
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- type: mean_reward
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value: 10.25 +/- 4.97
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name: mean_reward
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verified: false
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---
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replay.mp4
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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 sha256:73cade1b7c741fe9141d3bd76455c7715107bb078fb7600366c1a829064f2bba
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size 8751111
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sf_log.txt
CHANGED
@@ -2088,3 +2088,148 @@ vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has be
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[2025-02-27 20:51:49,459][00031] Avg episode rewards: #0: 30.366, true rewards: #0: 12.066
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[2025-02-27 20:51:49,460][00031] Avg episode reward: 30.366, avg true_objective: 12.066
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[2025-02-27 20:52:26,202][00031] Replay video saved to /kaggle/working/train_dir/default_experiment/replay.mp4!
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[2025-02-27 20:51:49,459][00031] Avg episode rewards: #0: 30.366, true rewards: #0: 12.066
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[2025-02-27 20:51:49,460][00031] Avg episode reward: 30.366, avg true_objective: 12.066
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[2025-02-27 20:52:26,202][00031] Replay video saved to /kaggle/working/train_dir/default_experiment/replay.mp4!
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[2025-02-27 20:52:29,435][00031] The model has been pushed to https://huggingface.co/francescosabbarese/rl_course_vizdoom_health_gathering_supreme
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[2025-02-27 20:52:29,469][00031] Loading existing experiment configuration from /kaggle/working/train_dir/default_experiment/config.json
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[2025-02-27 20:52:29,469][00031] Overriding arg 'num_workers' with value 1 passed from command line
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[2025-02-27 20:52:29,470][00031] Adding new argument 'no_render'=True that is not in the saved config file!
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[2025-02-27 20:52:29,471][00031] Adding new argument 'save_video'=True that is not in the saved config file!
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[2025-02-27 20:52:29,472][00031] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
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[2025-02-27 20:52:29,473][00031] Adding new argument 'video_name'=None that is not in the saved config file!
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[2025-02-27 20:52:29,475][00031] Adding new argument 'max_num_frames'=100000 that is not in the saved config file!
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[2025-02-27 20:52:29,475][00031] Adding new argument 'max_num_episodes'=10 that is not in the saved config file!
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[2025-02-27 20:52:29,476][00031] Adding new argument 'push_to_hub'=True that is not in the saved config file!
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[2025-02-27 20:52:29,478][00031] Adding new argument 'hf_repository'='francescosabbarese/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file!
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[2025-02-27 20:52:29,478][00031] Adding new argument 'policy_index'=0 that is not in the saved config file!
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[2025-02-27 20:52:29,479][00031] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
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[2025-02-27 20:52:29,480][00031] Adding new argument 'train_script'=None that is not in the saved config file!
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[2025-02-27 20:52:29,481][00031] Adding new argument 'enjoy_script'=None that is not in the saved config file!
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[2025-02-27 20:52:29,482][00031] Using frameskip 1 and render_action_repeat=4 for evaluation
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[2025-02-27 20:52:29,505][00031] RunningMeanStd input shape: (3, 72, 128)
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[2025-02-27 20:52:29,506][00031] RunningMeanStd input shape: (1,)
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[2025-02-27 20:52:29,517][00031] ConvEncoder: input_channels=3
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[2025-02-27 20:52:29,557][00031] Conv encoder output size: 512
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[2025-02-27 20:52:29,558][00031] Policy head output size: 512
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[2025-02-27 20:52:29,579][00031] Loading state from checkpoint /kaggle/working/train_dir/default_experiment/checkpoint_p0/checkpoint_000001292_10584064.pth...
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[2025-02-27 20:52:30,035][00031] Num frames 100...
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[2025-02-27 20:52:32,088][00031] Num frames 1800...
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[2025-02-27 20:52:32,249][00031] Avg episode rewards: #0: 52.849, true rewards: #0: 18.850
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[2025-02-27 20:52:32,250][00031] Avg episode reward: 52.849, avg true_objective: 18.850
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[2025-02-27 20:52:32,268][00031] Num frames 1900...
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[2025-02-27 20:52:32,744][00031] Avg episode rewards: #0: 30.250, true rewards: #0: 11.250
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[2025-02-27 20:52:32,745][00031] Avg episode reward: 30.250, avg true_objective: 11.250
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[2025-02-27 20:52:33,661][00031] Avg episode rewards: #0: 24.953, true rewards: #0: 9.953
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[2025-02-27 20:52:33,662][00031] Avg episode reward: 24.953, avg true_objective: 9.953
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[2025-02-27 20:52:34,691][00031] Avg episode rewards: #0: 22.545, true rewards: #0: 9.545
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[2025-02-27 20:52:34,692][00031] Avg episode reward: 22.545, avg true_objective: 9.545
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[2025-02-27 20:52:35,676][00031] Avg episode rewards: #0: 20.780, true rewards: #0: 8.980
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[2025-02-27 20:52:35,677][00031] Avg episode reward: 20.780, avg true_objective: 8.980
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[2025-02-27 20:52:36,854][00031] Avg episode rewards: #0: 20.643, true rewards: #0: 8.977
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[2025-02-27 20:52:36,854][00031] Avg episode reward: 20.643, avg true_objective: 8.977
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[2025-02-27 20:52:38,367][00031] Avg episode rewards: #0: 21.559, true rewards: #0: 9.416
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[2025-02-27 20:52:38,368][00031] Avg episode reward: 21.559, avg true_objective: 9.416
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[2025-02-27 20:52:39,269][00031] Avg episode rewards: #0: 20.736, true rewards: #0: 9.111
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[2025-02-27 20:52:39,270][00031] Avg episode reward: 20.736, avg true_objective: 9.111
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[2025-02-27 20:52:41,767][00031] Avg episode rewards: #0: 24.734, true rewards: #0: 10.290
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[2025-02-27 20:52:41,768][00031] Avg episode reward: 24.734, avg true_objective: 10.290
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[2025-02-27 20:52:43,046][00031] Avg episode rewards: #0: 24.353, true rewards: #0: 10.253
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[2025-02-27 20:52:43,047][00031] Avg episode reward: 24.353, avg true_objective: 10.253
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[2025-02-27 20:53:00,256][00031] Replay video saved to /kaggle/working/train_dir/default_experiment/replay.mp4!
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