poca-SoccerTwos / run_logs /timers.json
WokeEngineer's picture
First Push
2f202f0 verified
raw
history blame
15.7 kB
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 2.034095048904419,
"min": 2.034095048904419,
"max": 3.2957186698913574,
"count": 506
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 43415.7265625,
"min": 21021.2265625,
"max": 136054.640625,
"count": 506
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 57.92857142857143,
"min": 43.642857142857146,
"max": 999.0,
"count": 506
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 19464.0,
"min": 13476.0,
"max": 28232.0,
"count": 506
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1444.277444267153,
"min": 1188.5688610622024,
"max": 1467.9057905021382,
"count": 459
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 242638.6106368817,
"min": 2378.6217784244172,
"max": 318196.4601373692,
"count": 459
},
"SoccerTwos.Step.mean": {
"value": 5059920.0,
"min": 9138.0,
"max": 5059920.0,
"count": 506
},
"SoccerTwos.Step.sum": {
"value": 5059920.0,
"min": 9138.0,
"max": 5059920.0,
"count": 506
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": 0.008102988824248314,
"min": -0.102271169424057,
"max": 0.15609072148799896,
"count": 506
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": 1.3694051504135132,
"min": -15.033862113952637,
"max": 27.724905014038086,
"count": 506
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.0010254208464175463,
"min": -0.10244327783584595,
"max": 0.15248753130435944,
"count": 506
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": 0.17329612374305725,
"min": -15.059162139892578,
"max": 26.837806701660156,
"count": 506
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 506
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 506
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": 0.04445562172218187,
"min": -0.6912857123783657,
"max": 0.34533906215801835,
"count": 506
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": 7.513000071048737,
"min": -55.49279975891113,
"max": 59.57000023126602,
"count": 506
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": 0.04445562172218187,
"min": -0.6912857123783657,
"max": 0.34533906215801835,
"count": 506
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": 7.513000071048737,
"min": -55.49279975891113,
"max": 59.57000023126602,
"count": 506
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 506
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 506
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.015287019886697333,
"min": 0.011718268912348624,
"max": 0.02362056450607876,
"count": 241
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.015287019886697333,
"min": 0.011718268912348624,
"max": 0.02362056450607876,
"count": 241
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 0.08906070366501809,
"min": 1.4289946382935645e-06,
"max": 0.10702010343472163,
"count": 241
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 0.08906070366501809,
"min": 1.4289946382935645e-06,
"max": 0.10702010343472163,
"count": 241
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 0.09028938934206962,
"min": 1.5878587040181932e-06,
"max": 0.11088861897587776,
"count": 241
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 0.09028938934206962,
"min": 1.5878587040181932e-06,
"max": 0.11088861897587776,
"count": 241
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 241
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 241
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.20000000000000007,
"min": 0.20000000000000007,
"max": 0.20000000000000007,
"count": 241
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.20000000000000007,
"min": 0.20000000000000007,
"max": 0.20000000000000007,
"count": 241
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 241
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 241
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1710034452",
"python_version": "3.10.12 (main, Mar 9 2024, 16:10:11) [Clang 14.0.3 (clang-1403.0.22.14.1)]",
"command_line_arguments": "/Users/rushideshmukh/.pyenv/versions/3.10.12/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos/SoccerTwos.app --run-id=SoccerTwos --no-graphics --force",
"mlagents_version": "1.1.0.dev0",
"mlagents_envs_version": "1.1.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.2.1",
"numpy_version": "1.23.5",
"end_time_seconds": "1710053756"
},
"total": 19304.27785824999,
"count": 1,
"self": 0.33178508398123085,
"children": {
"run_training.setup": {
"total": 0.016164916014531627,
"count": 1,
"self": 0.016164916014531627
},
"TrainerController.start_learning": {
"total": 19303.929908249993,
"count": 1,
"self": 2.9813993361894973,
"children": {
"TrainerController._reset_env": {
"total": 5.200544664054178,
"count": 26,
"self": 5.200544664054178
},
"TrainerController.advance": {
"total": 19295.492771041783,
"count": 339291,
"self": 2.7193128646176774,
"children": {
"env_step": {
"total": 15219.818307881098,
"count": 339291,
"self": 14713.968574603234,
"children": {
"SubprocessEnvManager._take_step": {
"total": 503.8066189119709,
"count": 339291,
"self": 14.768715203303145,
"children": {
"TorchPolicy.evaluate": {
"total": 489.0379037086677,
"count": 644640,
"self": 489.0379037086677
}
}
},
"workers": {
"total": 2.043114365893416,
"count": 339290,
"self": 0.0,
"children": {
"worker_root": {
"total": 19295.864006676624,
"count": 339290,
"is_parallel": true,
"self": 5003.252988209628,
"children": {
"steps_from_proto": {
"total": 0.042950455099344254,
"count": 52,
"is_parallel": true,
"self": 0.005378327245125547,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.037572127854218706,
"count": 208,
"is_parallel": true,
"self": 0.037572127854218706
}
}
},
"UnityEnvironment.step": {
"total": 14292.568068011897,
"count": 339290,
"is_parallel": true,
"self": 35.37599831694388,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 256.56465872059925,
"count": 339290,
"is_parallel": true,
"self": 256.56465872059925
},
"communicator.exchange": {
"total": 13514.89062661829,
"count": 339290,
"is_parallel": true,
"self": 13514.89062661829
},
"steps_from_proto": {
"total": 485.73678435606416,
"count": 678580,
"is_parallel": true,
"self": 55.636882274993695,
"children": {
"_process_rank_one_or_two_observation": {
"total": 430.09990208107047,
"count": 2714320,
"is_parallel": true,
"self": 430.09990208107047
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 4072.9551502960676,
"count": 339290,
"self": 33.577861527737696,
"children": {
"process_trajectory": {
"total": 621.0739785193873,
"count": 339290,
"self": 619.0081556433288,
"children": {
"RLTrainer._checkpoint": {
"total": 2.065822876058519,
"count": 10,
"self": 2.065822876058519
}
}
},
"_update_policy": {
"total": 3418.3033102489426,
"count": 241,
"self": 385.8818468901736,
"children": {
"TorchPOCAOptimizer.update": {
"total": 3032.421463358769,
"count": 7230,
"self": 3032.421463358769
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.2499804142862558e-06,
"count": 1,
"self": 1.2499804142862558e-06
},
"TrainerController._save_models": {
"total": 0.25519195798551664,
"count": 1,
"self": 0.0014662499888800085,
"children": {
"RLTrainer._checkpoint": {
"total": 0.25372570799663663,
"count": 1,
"self": 0.25372570799663663
}
}
}
}
}
}
}