poca-SoccerTwos / run_logs /timers.json
VitCon's picture
First Push`
eb57cae
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 1.8859961032867432,
"min": 0.7960292100906372,
"max": 3.2957451343536377,
"count": 5000
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 37056.05078125,
"min": 10420.7392578125,
"max": 160892.15625,
"count": 5000
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 61.69230769230769,
"min": 47.300970873786405,
"max": 999.0,
"count": 5000
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 19248.0,
"min": 12720.0,
"max": 30472.0,
"count": 5000
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1596.9313248102283,
"min": 1181.879118812825,
"max": 1607.88234923467,
"count": 1668
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 249121.2866703956,
"min": 2363.75823762565,
"max": 320736.99087702495,
"count": 1668
},
"SoccerTwos.Step.mean": {
"value": 49999941.0,
"min": 9252.0,
"max": 49999941.0,
"count": 5000
},
"SoccerTwos.Step.sum": {
"value": 49999941.0,
"min": 9252.0,
"max": 49999941.0,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": -0.0425206795334816,
"min": -0.12837325036525726,
"max": 0.15666325390338898,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": -6.675746917724609,
"min": -18.100627899169922,
"max": 27.25940704345703,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.0382288359105587,
"min": -0.1278502345085144,
"max": 0.16222737729549408,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": -6.001927375793457,
"min": -18.455331802368164,
"max": 28.227563858032227,
"count": 5000
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 5000
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": -0.30523311864038943,
"min": -0.6923076923076923,
"max": 0.42062222295337254,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": -47.92159962654114,
"min": -47.92159962654114,
"max": 47.269000351428986,
"count": 5000
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": -0.30523311864038943,
"min": -0.6923076923076923,
"max": 0.42062222295337254,
"count": 5000
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": -47.92159962654114,
"min": -47.92159962654114,
"max": 47.269000351428986,
"count": 5000
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 5000
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 5000
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.014865773305064067,
"min": 0.009734752150446486,
"max": 0.02486639428922596,
"count": 2314
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.014865773305064067,
"min": 0.009734752150446486,
"max": 0.02486639428922596,
"count": 2314
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 0.09687695155541103,
"min": 5.549574153806044e-12,
"max": 0.10573716560999552,
"count": 2314
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 0.09687695155541103,
"min": 5.549574153806044e-12,
"max": 0.10573716560999552,
"count": 2314
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 0.09823337495326996,
"min": 8.280764818060135e-12,
"max": 0.10774662320812543,
"count": 2314
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 0.09823337495326996,
"min": 8.280764818060135e-12,
"max": 0.10774662320812543,
"count": 2314
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 2314
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 2314
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.20000000000000007,
"min": 0.20000000000000007,
"max": 0.20000000000000007,
"count": 2314
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.20000000000000007,
"min": 0.20000000000000007,
"max": 0.20000000000000007,
"count": 2314
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 2314
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 2314
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1689125754",
"python_version": "3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC v.1929 64 bit (AMD64)]",
"command_line_arguments": "C:\\Users\\vitco\\Desktop\\SoccerTwos\\env\\Scripts\\mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos.exe --run-id=SoccerTwos --no-graphics",
"mlagents_version": "0.31.0.dev0",
"mlagents_envs_version": "0.31.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "1.13.1+cu116",
"numpy_version": "1.21.2",
"end_time_seconds": "1689205231"
},
"total": 79476.61104039999,
"count": 1,
"self": 0.7239865999872563,
"children": {
"run_training.setup": {
"total": 0.2028278000000001,
"count": 1,
"self": 0.2028278000000001
},
"TrainerController.start_learning": {
"total": 79475.684226,
"count": 1,
"self": 53.68059590390476,
"children": {
"TrainerController._reset_env": {
"total": 17.12137330000531,
"count": 249,
"self": 17.12137330000531
},
"TrainerController.advance": {
"total": 79404.7220559961,
"count": 3278979,
"self": 58.7541511883901,
"children": {
"env_step": {
"total": 56214.57777440655,
"count": 3278979,
"self": 34536.39524380873,
"children": {
"SubprocessEnvManager._take_step": {
"total": 21642.040069300623,
"count": 3278979,
"self": 359.92690518921154,
"children": {
"TorchPolicy.evaluate": {
"total": 21282.11316411141,
"count": 6431088,
"self": 21282.11316411141
}
}
},
"workers": {
"total": 36.14246129719899,
"count": 3278979,
"self": 0.0,
"children": {
"worker_root": {
"total": 79379.58762889986,
"count": 3278979,
"is_parallel": true,
"self": 51420.96723030831,
"children": {
"steps_from_proto": {
"total": 0.5842672999857501,
"count": 498,
"is_parallel": true,
"self": 0.11798829990786297,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.46627900007788714,
"count": 1992,
"is_parallel": true,
"self": 0.46627900007788714
}
}
},
"UnityEnvironment.step": {
"total": 27958.036131291556,
"count": 3278979,
"is_parallel": true,
"self": 1510.600279377246,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 1552.2331909067102,
"count": 3278979,
"is_parallel": true,
"self": 1552.2331909067102
},
"communicator.exchange": {
"total": 20337.390693502173,
"count": 3278979,
"is_parallel": true,
"self": 20337.390693502173
},
"steps_from_proto": {
"total": 4557.811967505427,
"count": 6557958,
"is_parallel": true,
"self": 949.4219691056983,
"children": {
"_process_rank_one_or_two_observation": {
"total": 3608.3899983997285,
"count": 26231832,
"is_parallel": true,
"self": 3608.3899983997285
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 23131.390130401163,
"count": 3278979,
"self": 429.52601460448204,
"children": {
"process_trajectory": {
"total": 5416.983307796469,
"count": 3278979,
"self": 5399.051477096455,
"children": {
"RLTrainer._checkpoint": {
"total": 17.931830700013734,
"count": 100,
"self": 17.931830700013734
}
}
},
"_update_policy": {
"total": 17284.880808000213,
"count": 2314,
"self": 7338.387878698481,
"children": {
"TorchPOCAOptimizer.update": {
"total": 9946.492929301732,
"count": 69420,
"self": 9946.492929301732
}
}
}
}
}
}
},
"trainer_threads": {
"total": 4.999892553314567e-07,
"count": 1,
"self": 4.999892553314567e-07
},
"TrainerController._save_models": {
"total": 0.16020030000072438,
"count": 1,
"self": 0.011720599999534898,
"children": {
"RLTrainer._checkpoint": {
"total": 0.14847970000118949,
"count": 1,
"self": 0.14847970000118949
}
}
}
}
}
}
}