jyesr's picture
Push to Hub
2dc1896 verified
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 1.4011540412902832,
"min": 1.3830610513687134,
"max": 1.8234226703643799,
"count": 1387
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 29457.86328125,
"min": 24735.029296875,
"max": 40224.5859375,
"count": 1387
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 58.367816091954026,
"min": 38.88,
"max": 84.22033898305085,
"count": 1387
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 20312.0,
"min": 16436.0,
"max": 21344.0,
"count": 1387
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1561.1051212072978,
"min": 1534.2771543014587,
"max": 1635.500014025064,
"count": 1387
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 271632.2910900698,
"min": 186546.69901904836,
"max": 401449.33329243044,
"count": 1387
},
"SoccerTwos.Step.mean": {
"value": 20099724.0,
"min": 6239878.0,
"max": 20099724.0,
"count": 1387
},
"SoccerTwos.Step.sum": {
"value": 20099724.0,
"min": 6239878.0,
"max": 20099724.0,
"count": 1387
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": 0.030307073146104813,
"min": -0.11720992624759674,
"max": 0.09817449003458023,
"count": 1387
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": 5.273430824279785,
"min": -24.3062744140625,
"max": 19.431991577148438,
"count": 1387
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.030129041522741318,
"min": -0.11586025357246399,
"max": 0.09992619603872299,
"count": 1387
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": 5.242453098297119,
"min": -24.77324104309082,
"max": 19.474201202392578,
"count": 1387
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 1387
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 1387
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": -0.10522758618168447,
"min": -0.3467288472904609,
"max": 0.2952673269970582,
"count": 1387
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": -18.309599995613098,
"min": -72.11960023641586,
"max": 59.64400005340576,
"count": 1387
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": -0.10522758618168447,
"min": -0.3467288472904609,
"max": 0.2952673269970582,
"count": 1387
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": -18.309599995613098,
"min": -72.11960023641586,
"max": 59.64400005340576,
"count": 1387
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 1387
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 1387
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.015247845936877032,
"min": 0.009736820104687164,
"max": 0.026066995008538166,
"count": 673
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.015247845936877032,
"min": 0.009736820104687164,
"max": 0.026066995008538166,
"count": 673
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 0.10042838230729104,
"min": 0.08936696400245031,
"max": 0.13043266261617342,
"count": 673
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 0.10042838230729104,
"min": 0.08936696400245031,
"max": 0.13043266261617342,
"count": 673
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 0.10176143199205398,
"min": 0.09096879363059998,
"max": 0.13310801660021146,
"count": 673
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 0.10176143199205398,
"min": 0.09096879363059998,
"max": 0.13310801660021146,
"count": 673
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 673
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 673
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.20000000000000007,
"min": 0.20000000000000007,
"max": 0.20000000000000007,
"count": 673
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.20000000000000007,
"min": 0.20000000000000007,
"max": 0.20000000000000007,
"count": 673
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 673
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 673
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1709589208",
"python_version": "3.10.12 | packaged by Anaconda, Inc. | (main, Jul 5 2023, 19:01:18) [MSC v.1916 64 bit (AMD64)]",
"command_line_arguments": "\\\\?\\C:\\Users\\Jye\\anaconda3\\envs\\soccer-twos\\Scripts\\mlagents-learn ./config/poca/SoccerTwos.yaml --env=./../SoccerTwos/SoccerTwos.exe --run-id=SoccerTwos --no-graphics --resume",
"mlagents_version": "1.1.0.dev0",
"mlagents_envs_version": "1.1.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.2.1+cpu",
"numpy_version": "1.23.5",
"end_time_seconds": "1709623739"
},
"total": 34531.8872847,
"count": 1,
"self": 5.522328399994876,
"children": {
"run_training.setup": {
"total": 0.15610849997028708,
"count": 1,
"self": 0.15610849997028708
},
"TrainerController.start_learning": {
"total": 34526.20884780004,
"count": 1,
"self": 21.874699187173974,
"children": {
"TrainerController._reset_env": {
"total": 6.788810000056401,
"count": 71,
"self": 6.788810000056401
},
"TrainerController.advance": {
"total": 34497.370763612795,
"count": 966985,
"self": 22.764213644666597,
"children": {
"env_step": {
"total": 15801.091968905122,
"count": 966985,
"self": 12241.024186512746,
"children": {
"SubprocessEnvManager._take_step": {
"total": 3546.995186906017,
"count": 966985,
"self": 126.5962325267028,
"children": {
"TorchPolicy.evaluate": {
"total": 3420.398954379314,
"count": 1739784,
"self": 3420.398954379314
}
}
},
"workers": {
"total": 13.072595486359205,
"count": 966984,
"self": 0.0,
"children": {
"worker_root": {
"total": 34491.274311717425,
"count": 966984,
"is_parallel": true,
"self": 24744.850100534735,
"children": {
"steps_from_proto": {
"total": 0.11729780008317903,
"count": 142,
"is_parallel": true,
"self": 0.02500570082338527,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.09229209925979376,
"count": 568,
"is_parallel": true,
"self": 0.09229209925979376
}
}
},
"UnityEnvironment.step": {
"total": 9746.306913382607,
"count": 966984,
"is_parallel": true,
"self": 497.49245673097903,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 417.32924795680447,
"count": 966984,
"is_parallel": true,
"self": 417.32924795680447
},
"communicator.exchange": {
"total": 7202.096342267643,
"count": 966984,
"is_parallel": true,
"self": 7202.096342267643
},
"steps_from_proto": {
"total": 1629.38886642718,
"count": 1933968,
"is_parallel": true,
"self": 349.3434953748365,
"children": {
"_process_rank_one_or_two_observation": {
"total": 1280.0453710523434,
"count": 7735872,
"is_parallel": true,
"self": 1280.0453710523434
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 18673.514581063006,
"count": 966984,
"self": 138.87641985644586,
"children": {
"process_trajectory": {
"total": 4110.245011105493,
"count": 966984,
"self": 4106.549847305461,
"children": {
"RLTrainer._checkpoint": {
"total": 3.695163800031878,
"count": 28,
"self": 3.695163800031878
}
}
},
"_update_policy": {
"total": 14424.393150101067,
"count": 673,
"self": 1926.2894451007014,
"children": {
"TorchPOCAOptimizer.update": {
"total": 12498.103705000365,
"count": 20190,
"self": 12498.103705000365
}
}
}
}
}
}
},
"trainer_threads": {
"total": 2.300017513334751e-06,
"count": 1,
"self": 2.300017513334751e-06
},
"TrainerController._save_models": {
"total": 0.17457269999431446,
"count": 1,
"self": 0.008668499940540642,
"children": {
"RLTrainer._checkpoint": {
"total": 0.16590420005377382,
"count": 1,
"self": 0.16590420005377382
}
}
}
}
}
}
}