Instructions to use LibRust/ppo-Huggy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use LibRust/ppo-Huggy with ml-agents:
mlagents-load-from-hf --repo-id="LibRust/ppo-Huggy" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download run_logs/timers.json from LibRust/ppo-Huggy: direct link, hf CLI and curl.
- Browser
- Download file 17.5 kB
-
https://huggingface.co/LibRust/ppo-Huggy/resolve/main/run_logs/timers.json
- Command line
-
hf download hf://LibRust/ppo-Huggy/run_logs/timers.json
-
curl -L -o timers.json https://huggingface.co/LibRust/ppo-Huggy/resolve/main/run_logs/timers.json
17.5 kB
| { | |
| "name": "root", | |
| "gauges": { | |
| "Huggy.Policy.Entropy.mean": { | |
| "value": 1.355497121810913, | |
| "min": 1.355497121810913, | |
| "max": 1.4256678819656372, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.Entropy.sum": { | |
| "value": 134489.71875, | |
| "min": 133301.484375, | |
| "max": 146724.140625, | |
| "count": 50 | |
| }, | |
| "Huggy.Environment.EpisodeLength.mean": { | |
| "value": 185.83677298311446, | |
| "min": 90.01455868971793, | |
| "max": 374.7940074906367, | |
| "count": 50 | |
| }, | |
| "Huggy.Environment.EpisodeLength.sum": { | |
| "value": 99051.0, | |
| "min": 98413.0, | |
| "max": 100191.0, | |
| "count": 50 | |
| }, | |
| "Huggy.Step.mean": { | |
| "value": 4999977.0, | |
| "min": 99955.0, | |
| "max": 4999977.0, | |
| "count": 50 | |
| }, | |
| "Huggy.Step.sum": { | |
| "value": 4999977.0, | |
| "min": 99955.0, | |
| "max": 4999977.0, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 2.183706045150757, | |
| "min": 0.2099350094795227, | |
| "max": 2.445831298828125, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 1163.915283203125, | |
| "min": 55.84271240234375, | |
| "max": 2638.7099609375, | |
| "count": 50 | |
| }, | |
| "Huggy.Environment.CumulativeReward.mean": { | |
| "value": 3.431514164737791, | |
| "min": 2.3071830669291935, | |
| "max": 3.8346111956370406, | |
| "count": 50 | |
| }, | |
| "Huggy.Environment.CumulativeReward.sum": { | |
| "value": 1828.9970498052426, | |
| "min": 613.7106958031654, | |
| "max": 4173.11915653944, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.ExtrinsicReward.mean": { | |
| "value": 3.431514164737791, | |
| "min": 2.3071830669291935, | |
| "max": 3.8346111956370406, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.ExtrinsicReward.sum": { | |
| "value": 1828.9970498052426, | |
| "min": 613.7106958031654, | |
| "max": 4173.11915653944, | |
| "count": 50 | |
| }, | |
| "Huggy.Losses.PolicyLoss.mean": { | |
| "value": 0.018963013240524258, | |
| "min": 0.014114999552354374, | |
| "max": 0.020051805406110363, | |
| "count": 50 | |
| }, | |
| "Huggy.Losses.PolicyLoss.sum": { | |
| "value": 0.09481506620262128, | |
| "min": 0.06292688251608827, | |
| "max": 0.10025902703055181, | |
| "count": 50 | |
| }, | |
| "Huggy.Losses.ValueLoss.mean": { | |
| "value": 0.019165817846854526, | |
| "min": 0.018313358686864376, | |
| "max": 0.04601486931244532, | |
| "count": 50 | |
| }, | |
| "Huggy.Losses.ValueLoss.sum": { | |
| "value": 0.09582908923427264, | |
| "min": 0.07480395575985312, | |
| "max": 0.2300743465622266, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.LearningRate.mean": { | |
| "value": 2.980143006652001e-06, | |
| "min": 2.980143006652001e-06, | |
| "max": 0.00029691159102946996, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.LearningRate.sum": { | |
| "value": 1.4900715033260006e-05, | |
| "min": 1.4900715033260006e-05, | |
| "max": 0.0014567535144154999, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.Epsilon.mean": { | |
| "value": 0.10099334799999997, | |
| "min": 0.10099334799999997, | |
| "max": 0.19897052999999998, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.Epsilon.sum": { | |
| "value": 0.5049667399999999, | |
| "min": 0.42803962000000007, | |
| "max": 0.9855845, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.Beta.mean": { | |
| "value": 5.9568065200000024e-05, | |
| "min": 5.9568065200000024e-05, | |
| "max": 0.004948629447000001, | |
| "count": 50 | |
| }, | |
| "Huggy.Policy.Beta.sum": { | |
| "value": 0.0002978403260000001, | |
| "min": 0.0002978403260000001, | |
| "max": 0.02428066655, | |
| "count": 50 | |
| }, | |
| "Huggy.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 50 | |
| }, | |
| "Huggy.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 50 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1783681350", | |
| "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]", | |
| "command_line_arguments": "/usr/local/envs/mlagents_env/bin/mlagents-learn ./config/ppo/Huggy.yaml --env=./trained-envs-executables/linux/Huggy/Huggy --run-id=Huggy2 --force --no-graphics", | |
| "mlagents_version": "1.1.0", | |
| "mlagents_envs_version": "1.1.0", | |
| "communication_protocol_version": "1.5.0", | |
| "pytorch_version": "2.2.2+cu121", | |
| "numpy_version": "1.23.5", | |
| "end_time_seconds": "1783688384" | |
| }, | |
| "total": 7034.372791042, | |
| "count": 1, | |
| "self": 0.47802481899998384, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.02970709200053534, | |
| "count": 1, | |
| "self": 0.02970709200053534 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 7033.865059131, | |
| "count": 1, | |
| "self": 11.637244423843185, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 2.3923938500001896, | |
| "count": 1, | |
| "self": 2.3923938500001896 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 7019.622792437158, | |
| "count": 577277, | |
| "self": 12.162181566162872, | |
| "children": { | |
| "env_step": { | |
| "total": 5739.8300482121085, | |
| "count": 577277, | |
| "self": 4541.375168943467, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 1191.3489153229639, | |
| "count": 577277, | |
| "self": 42.048765937131975, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 1149.300149385832, | |
| "count": 557107, | |
| "self": 1149.300149385832 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 7.105963945678013, | |
| "count": 577277, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 7002.68074231558, | |
| "count": 577277, | |
| "is_parallel": true, | |
| "self": 3332.2947147325294, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.0009943830000338494, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0002733569999691099, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0007210260000647395, | |
| "count": 2, | |
| "is_parallel": true, | |
| "self": 0.0007210260000647395 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.031503055000030145, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00033075200099119684, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.00020513299932645168, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00020513299932645168 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.03019925599983253, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.03019925599983253 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0007679139998799656, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00020147099894529674, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0005664430009346688, | |
| "count": 2, | |
| "is_parallel": true, | |
| "self": 0.0005664430009346688 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 3670.3860275830502, | |
| "count": 577276, | |
| "is_parallel": true, | |
| "self": 101.26812601762504, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 229.6153412585354, | |
| "count": 577276, | |
| "is_parallel": true, | |
| "self": 229.6153412585354 | |
| }, | |
| "communicator.exchange": { | |
| "total": 3102.63434175407, | |
| "count": 577276, | |
| "is_parallel": true, | |
| "self": 3102.63434175407 | |
| }, | |
| "steps_from_proto": { | |
| "total": 236.8682185528196, | |
| "count": 577276, | |
| "is_parallel": true, | |
| "self": 88.58773277233922, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 148.28048578048038, | |
| "count": 1154552, | |
| "is_parallel": true, | |
| "self": 148.28048578048038 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 1267.6305626588864, | |
| "count": 577277, | |
| "self": 17.90429196108107, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 404.06600347179756, | |
| "count": 577277, | |
| "self": 399.13743538680046, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 4.928568084997096, | |
| "count": 25, | |
| "self": 4.928568084997096 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 845.6602672260078, | |
| "count": 241, | |
| "self": 641.7344017740943, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 203.92586545191352, | |
| "count": 7230, | |
| "self": 203.92586545191352 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 1.2509990483522415e-06, | |
| "count": 1, | |
| "self": 1.2509990483522415e-06 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.212627168999461, | |
| "count": 1, | |
| "self": 0.004874778998782858, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.20775239000067813, | |
| "count": 1, | |
| "self": 0.20775239000067813 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |