HilbertS commited on
Commit
be94c7c
·
1 Parent(s): 85a74d4

Another bad model

Browse files
SnowballTarget.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c67d32c5d2ea47f0d6c187d122205449db2e0dc7eaf1dd7e9aac80efc73994e5
3
  size 646532
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e363a184531047b5f01a5619398e327eb42c52a3db84b394d8e7e4a49f2eea79
3
  size 646532
SnowballTarget/{SnowballTarget-10208.onnx → SnowballTarget-14992.onnx} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c67d32c5d2ea47f0d6c187d122205449db2e0dc7eaf1dd7e9aac80efc73994e5
3
  size 646532
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35b09dc2d1017f72a391b2f883f8b08901a314c90daa473550d844d242a30439
3
  size 646532
SnowballTarget/{SnowballTarget-10208.pt → SnowballTarget-14992.pt} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f3da68f3da6bc688f4f3608b38dfeb6213253a7dbe40b194cc031da7bda13e3f
3
  size 3843968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd7d25870fd41cc01e086a889a8dcc94b2d604391540b11e550d46dbe243c695
3
  size 3843968
SnowballTarget/SnowballTarget-19992.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e363a184531047b5f01a5619398e327eb42c52a3db84b394d8e7e4a49f2eea79
3
+ size 646532
SnowballTarget/SnowballTarget-19992.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52aa8727aae3d33441da00f016ee51d9c39e74510ce1407b09c37531915cdb60
3
+ size 3843968
SnowballTarget/SnowballTarget-20376.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e363a184531047b5f01a5619398e327eb42c52a3db84b394d8e7e4a49f2eea79
3
+ size 646532
SnowballTarget/SnowballTarget-20376.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b703ef33b62bb1d93f06fd1772ca0aec32738caf7ff8923c382145a4b1876f88
3
+ size 3843968
SnowballTarget/SnowballTarget-4976.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:447935321628ae3099b12beb4cf83627be06fdbb034ff9fdef384b7ff23f3353
3
+ size 646532
SnowballTarget/SnowballTarget-4976.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:210be07b0533ad6bc54d3f8271f0116b3b082bbc29a6708d6117001869f346f3
3
+ size 3843968
SnowballTarget/SnowballTarget-9952.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7da0f1afe2f5b2a014652a68c6935ec4ebcb03659f38ba741b0471fbe0b67449
3
+ size 646532
SnowballTarget/SnowballTarget-9952.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4d7bd1cfe1e2f802a3af56be196946690da07317232fa8bac44c16bd5be599e
3
+ size 3843968
SnowballTarget/checkpoint.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f3da68f3da6bc688f4f3608b38dfeb6213253a7dbe40b194cc031da7bda13e3f
3
  size 3843968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b703ef33b62bb1d93f06fd1772ca0aec32738caf7ff8923c382145a4b1876f88
3
  size 3843968
SnowballTarget/{events.out.tfevents.1683279631.c88edd4d651c.5646.0 → events.out.tfevents.1683279867.c88edd4d651c.6973.0} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e3b53d03eb82f9479173773d19b6af8bc1d45460ae2424a13dad5d1a3a3d149f
3
- size 15420
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70ef5fbffb1f8810f6fa5b78fc6203774aea50447610168d66d9eccdf17b8475
3
+ size 39676
config.json CHANGED
@@ -1 +1 @@
1
- {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 10, "even_checkpoints": false, "max_steps": 10000, "time_horizon": 64, "summary_freq": 1000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget1", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
 
1
+ {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 5000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 10, "even_checkpoints": false, "max_steps": 20000, "time_horizon": 64, "summary_freq": 1000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget2", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml CHANGED
@@ -14,7 +14,7 @@ behaviors:
14
  learning_rate_schedule: linear
15
  beta_schedule: linear
16
  epsilon_schedule: linear
17
- checkpoint_interval: 50000
18
  network_settings:
19
  normalize: false
20
  hidden_units: 256
@@ -38,7 +38,7 @@ behaviors:
38
  init_path: null
39
  keep_checkpoints: 10
40
  even_checkpoints: false
41
- max_steps: 10000
42
  time_horizon: 64
43
  summary_freq: 1000
44
  threaded: true
@@ -64,7 +64,7 @@ engine_settings:
64
  no_graphics: true
65
  environment_parameters: null
66
  checkpoint_settings:
67
- run_id: SnowballTarget1
68
  initialize_from: null
69
  load_model: false
70
  resume: false
 
14
  learning_rate_schedule: linear
15
  beta_schedule: linear
16
  epsilon_schedule: linear
17
+ checkpoint_interval: 5000
18
  network_settings:
19
  normalize: false
20
  hidden_units: 256
 
38
  init_path: null
39
  keep_checkpoints: 10
40
  even_checkpoints: false
41
+ max_steps: 20000
42
  time_horizon: 64
43
  summary_freq: 1000
44
  threaded: true
 
64
  no_graphics: true
65
  environment_parameters: null
66
  checkpoint_settings:
67
+ run_id: SnowballTarget2
68
  initialize_from: null
69
  load_model: false
70
  resume: false
run_logs/Player-0.log CHANGED
@@ -2,9 +2,6 @@ Mono path[0] = '/content/ml-agents/training-envs-executables/linux/SnowballTarge
2
  Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
3
  Preloaded 'lib_burst_generated.so'
4
  Preloaded 'libgrpc_csharp_ext.x64.so'
5
- PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face
6
- PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face/SnowballTarget
7
- Unable to load player prefs
8
  Initialize engine version: 2021.3.14f1 (eee1884e7226)
9
  [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
10
  Forcing GfxDevice: Null
@@ -34,7 +31,7 @@ ALSA lib pcm.c:2642:(snd_pcm_open_noupdate) Unknown PCM default
34
  FMOD failed to initialize the output device.: "Error initializing output device. " (60)
35
  FMOD initialized on nosound output
36
  Begin MonoManager ReloadAssembly
37
- - Completed reload, in 0.082 seconds
38
  ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
39
  ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
40
  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
@@ -45,7 +42,7 @@ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/f
45
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
46
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
47
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
48
- UnloadTime: 0.710605 ms
49
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
50
  requesting resize 84 x 84
51
  Setting up 1 worker threads for Enlighten.
@@ -53,7 +50,7 @@ Memory Statistics:
53
  [ALLOC_TEMP_TLS] TLS Allocator
54
  StackAllocators :
55
  [ALLOC_TEMP_MAIN]
56
- Peak usage frame count: [8.0 KB-16.0 KB]: 275 frames, [16.0 KB-32.0 KB]: 4 frames, [2.0 MB-4.0 MB]: 1 frames
57
  Initial Block Size 4.0 MB
58
  Current Block Size 4.0 MB
59
  Peak Allocated Bytes 2.0 MB
@@ -169,22 +166,22 @@ Memory Statistics:
169
  Peak Allocated Bytes 0 B
170
  Overflow Count 0
171
  [ALLOC_DEFAULT] Dual Thread Allocator
172
- Peak main deferred allocation count 28
173
  [ALLOC_BUCKET]
174
  Large Block size 4.0 MB
175
  Used Block count 1
176
  Peak Allocated bytes 1.0 MB
177
  [ALLOC_DEFAULT_MAIN]
178
- Peak usage frame count: [4.0 MB-8.0 MB]: 280 frames
179
  Requested Block Size 16.0 MB
180
  Peak Block count 1
181
- Peak Allocated memory 5.7 MB
182
  Peak Large allocation bytes 0 B
183
  [ALLOC_DEFAULT_THREAD]
184
- Peak usage frame count: [16.0 MB-32.0 MB]: 280 frames
185
  Requested Block Size 16.0 MB
186
  Peak Block count 1
187
- Peak Allocated memory 17.2 MB
188
  Peak Large allocation bytes 16.0 MB
189
  [ALLOC_TEMP_JOB_1_FRAME]
190
  Initial Block Size 2.0 MB
@@ -213,13 +210,13 @@ Memory Statistics:
213
  Used Block count 1
214
  Peak Allocated bytes 1.0 MB
215
  [ALLOC_GFX_MAIN]
216
- Peak usage frame count: [32.0 KB-64.0 KB]: 254 frames, [64.0 KB-128.0 KB]: 26 frames
217
  Requested Block Size 16.0 MB
218
  Peak Block count 1
219
  Peak Allocated memory 65.6 KB
220
  Peak Large allocation bytes 0 B
221
  [ALLOC_GFX_THREAD]
222
- Peak usage frame count: [32.0 KB-64.0 KB]: 280 frames
223
  Requested Block Size 16.0 MB
224
  Peak Block count 1
225
  Peak Allocated memory 39.6 KB
@@ -231,13 +228,13 @@ Memory Statistics:
231
  Used Block count 1
232
  Peak Allocated bytes 1.0 MB
233
  [ALLOC_CACHEOBJECTS_MAIN]
234
- Peak usage frame count: [0.5 MB-1.0 MB]: 280 frames
235
  Requested Block Size 4.0 MB
236
  Peak Block count 1
237
  Peak Allocated memory 0.6 MB
238
  Peak Large allocation bytes 0 B
239
  [ALLOC_CACHEOBJECTS_THREAD]
240
- Peak usage frame count: [0.5 MB-1.0 MB]: 279 frames, [2.0 MB-4.0 MB]: 1 frames
241
  Requested Block Size 4.0 MB
242
  Peak Block count 1
243
  Peak Allocated memory 2.2 MB
@@ -249,13 +246,13 @@ Memory Statistics:
249
  Used Block count 1
250
  Peak Allocated bytes 1.0 MB
251
  [ALLOC_TYPETREE_MAIN]
252
- Peak usage frame count: [0-1.0 KB]: 280 frames
253
  Requested Block Size 2.0 MB
254
  Peak Block count 1
255
  Peak Allocated memory 1.0 KB
256
  Peak Large allocation bytes 0 B
257
  [ALLOC_TYPETREE_THREAD]
258
- Peak usage frame count: [1.0 KB-2.0 KB]: 280 frames
259
  Requested Block Size 2.0 MB
260
  Peak Block count 1
261
  Peak Allocated memory 1.7 KB
 
2
  Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
3
  Preloaded 'lib_burst_generated.so'
4
  Preloaded 'libgrpc_csharp_ext.x64.so'
 
 
 
5
  Initialize engine version: 2021.3.14f1 (eee1884e7226)
6
  [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
7
  Forcing GfxDevice: Null
 
31
  FMOD failed to initialize the output device.: "Error initializing output device. " (60)
32
  FMOD initialized on nosound output
33
  Begin MonoManager ReloadAssembly
34
+ - Completed reload, in 0.088 seconds
35
  ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
36
  ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
37
  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
 
42
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
43
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
44
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
45
+ UnloadTime: 0.906578 ms
46
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
47
  requesting resize 84 x 84
48
  Setting up 1 worker threads for Enlighten.
 
50
  [ALLOC_TEMP_TLS] TLS Allocator
51
  StackAllocators :
52
  [ALLOC_TEMP_MAIN]
53
+ Peak usage frame count: [8.0 KB-16.0 KB]: 553 frames, [16.0 KB-32.0 KB]: 9 frames, [2.0 MB-4.0 MB]: 1 frames
54
  Initial Block Size 4.0 MB
55
  Current Block Size 4.0 MB
56
  Peak Allocated Bytes 2.0 MB
 
166
  Peak Allocated Bytes 0 B
167
  Overflow Count 0
168
  [ALLOC_DEFAULT] Dual Thread Allocator
169
+ Peak main deferred allocation count 34
170
  [ALLOC_BUCKET]
171
  Large Block size 4.0 MB
172
  Used Block count 1
173
  Peak Allocated bytes 1.0 MB
174
  [ALLOC_DEFAULT_MAIN]
175
+ Peak usage frame count: [4.0 MB-8.0 MB]: 563 frames
176
  Requested Block Size 16.0 MB
177
  Peak Block count 1
178
+ Peak Allocated memory 5.4 MB
179
  Peak Large allocation bytes 0 B
180
  [ALLOC_DEFAULT_THREAD]
181
+ Peak usage frame count: [16.0 MB-32.0 MB]: 563 frames
182
  Requested Block Size 16.0 MB
183
  Peak Block count 1
184
+ Peak Allocated memory 17.9 MB
185
  Peak Large allocation bytes 16.0 MB
186
  [ALLOC_TEMP_JOB_1_FRAME]
187
  Initial Block Size 2.0 MB
 
210
  Used Block count 1
211
  Peak Allocated bytes 1.0 MB
212
  [ALLOC_GFX_MAIN]
213
+ Peak usage frame count: [32.0 KB-64.0 KB]: 476 frames, [64.0 KB-128.0 KB]: 87 frames
214
  Requested Block Size 16.0 MB
215
  Peak Block count 1
216
  Peak Allocated memory 65.6 KB
217
  Peak Large allocation bytes 0 B
218
  [ALLOC_GFX_THREAD]
219
+ Peak usage frame count: [32.0 KB-64.0 KB]: 563 frames
220
  Requested Block Size 16.0 MB
221
  Peak Block count 1
222
  Peak Allocated memory 39.6 KB
 
228
  Used Block count 1
229
  Peak Allocated bytes 1.0 MB
230
  [ALLOC_CACHEOBJECTS_MAIN]
231
+ Peak usage frame count: [0.5 MB-1.0 MB]: 563 frames
232
  Requested Block Size 4.0 MB
233
  Peak Block count 1
234
  Peak Allocated memory 0.6 MB
235
  Peak Large allocation bytes 0 B
236
  [ALLOC_CACHEOBJECTS_THREAD]
237
+ Peak usage frame count: [0.5 MB-1.0 MB]: 562 frames, [2.0 MB-4.0 MB]: 1 frames
238
  Requested Block Size 4.0 MB
239
  Peak Block count 1
240
  Peak Allocated memory 2.2 MB
 
246
  Used Block count 1
247
  Peak Allocated bytes 1.0 MB
248
  [ALLOC_TYPETREE_MAIN]
249
+ Peak usage frame count: [0-1.0 KB]: 563 frames
250
  Requested Block Size 2.0 MB
251
  Peak Block count 1
252
  Peak Allocated memory 1.0 KB
253
  Peak Large allocation bytes 0 B
254
  [ALLOC_TYPETREE_THREAD]
255
+ Peak usage frame count: [1.0 KB-2.0 KB]: 563 frames
256
  Requested Block Size 2.0 MB
257
  Peak Block count 1
258
  Peak Allocated memory 1.7 KB
run_logs/timers.json CHANGED
@@ -2,213 +2,213 @@
2
  "name": "root",
3
  "gauges": {
4
  "SnowballTarget.Policy.Entropy.mean": {
5
- "value": 2.8599154949188232,
6
- "min": 2.8599154949188232,
7
- "max": 2.8903441429138184,
8
- "count": 10
9
  },
10
  "SnowballTarget.Policy.Entropy.sum": {
11
- "value": 1950.46240234375,
12
- "min": 1950.46240234375,
13
- "max": 4191.31298828125,
14
- "count": 10
15
  },
16
  "SnowballTarget.Step.mean": {
17
- "value": 9952.0,
18
  "min": 960.0,
19
- "max": 9952.0,
20
- "count": 10
21
  },
22
  "SnowballTarget.Step.sum": {
23
- "value": 9952.0,
24
  "min": 960.0,
25
- "max": 9952.0,
26
- "count": 10
27
  },
28
  "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
29
- "value": 0.7541240453720093,
30
- "min": -0.07974924892187119,
31
- "max": 0.7541240453720093,
32
- "count": 10
33
  },
34
  "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
- "value": 11.311861038208008,
36
- "min": -1.2458819150924683,
37
- "max": 16.76790428161621,
38
- "count": 10
39
  },
40
  "SnowballTarget.IsTraining.mean": {
41
  "value": 1.0,
42
  "min": 1.0,
43
  "max": 1.0,
44
- "count": 10
45
  },
46
  "SnowballTarget.IsTraining.sum": {
47
  "value": 1.0,
48
  "min": 1.0,
49
  "max": 1.0,
50
- "count": 10
51
  },
52
  "SnowballTarget.Environment.EpisodeLength.mean": {
53
  "value": 199.0,
54
  "min": 199.0,
55
  "max": 199.0,
56
- "count": 4
57
  },
58
  "SnowballTarget.Environment.EpisodeLength.sum": {
59
  "value": 2189.0,
60
  "min": 2189.0,
61
  "max": 2189.0,
62
- "count": 4
63
  },
64
  "SnowballTarget.Losses.PolicyLoss.mean": {
65
- "value": 0.07809640580386508,
66
- "min": 0.05779704182664407,
67
- "max": 0.08323019002273213,
68
- "count": 4
69
  },
70
  "SnowballTarget.Losses.PolicyLoss.sum": {
71
- "value": 0.07809640580386508,
72
- "min": 0.05779704182664407,
73
- "max": 0.08323019002273213,
74
- "count": 4
75
  },
76
  "SnowballTarget.Losses.ValueLoss.mean": {
77
- "value": 0.16764303457503224,
78
- "min": 0.07911297034782667,
79
- "max": 0.16764303457503224,
80
- "count": 4
81
  },
82
  "SnowballTarget.Losses.ValueLoss.sum": {
83
- "value": 0.16764303457503224,
84
- "min": 0.07911297034782667,
85
- "max": 0.16764303457503224,
86
- "count": 4
87
  },
88
  "SnowballTarget.Policy.LearningRate.mean": {
89
- "value": 3.864008712000001e-05,
90
- "min": 3.864008712000001e-05,
91
- "max": 0.00023664002112000002,
92
- "count": 4
93
  },
94
  "SnowballTarget.Policy.LearningRate.sum": {
95
- "value": 3.864008712000001e-05,
96
- "min": 3.864008712000001e-05,
97
- "max": 0.00023664002112000002,
98
- "count": 4
99
  },
100
  "SnowballTarget.Policy.Epsilon.mean": {
101
- "value": 0.11287999999999998,
102
- "min": 0.11287999999999998,
103
- "max": 0.17888,
104
- "count": 4
105
  },
106
  "SnowballTarget.Policy.Epsilon.sum": {
107
- "value": 0.11287999999999998,
108
- "min": 0.11287999999999998,
109
- "max": 0.17888,
110
- "count": 4
111
  },
112
  "SnowballTarget.Policy.Beta.mean": {
113
- "value": 0.0006527120000000002,
114
- "min": 0.0006527120000000002,
115
- "max": 0.003946112000000001,
116
- "count": 4
117
  },
118
  "SnowballTarget.Policy.Beta.sum": {
119
- "value": 0.0006527120000000002,
120
- "min": 0.0006527120000000002,
121
- "max": 0.003946112000000001,
122
- "count": 4
123
  },
124
  "SnowballTarget.Environment.CumulativeReward.mean": {
125
- "value": 4.2727272727272725,
126
- "min": 2.090909090909091,
127
- "max": 4.2727272727272725,
128
- "count": 4
129
  },
130
  "SnowballTarget.Environment.CumulativeReward.sum": {
131
- "value": 47.0,
132
- "min": 23.0,
133
- "max": 47.0,
134
- "count": 4
135
  },
136
  "SnowballTarget.Policy.ExtrinsicReward.mean": {
137
- "value": 4.2727272727272725,
138
- "min": 2.090909090909091,
139
- "max": 4.2727272727272725,
140
- "count": 4
141
  },
142
  "SnowballTarget.Policy.ExtrinsicReward.sum": {
143
- "value": 47.0,
144
- "min": 23.0,
145
- "max": 47.0,
146
- "count": 4
147
  }
148
  },
149
  "metadata": {
150
  "timer_format_version": "0.1.0",
151
- "start_time_seconds": "1683279630",
152
  "python_version": "3.10.11 (main, Apr 5 2023, 14:15:10) [GCC 9.4.0]",
153
- "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics",
154
  "mlagents_version": "0.31.0.dev0",
155
  "mlagents_envs_version": "0.31.0.dev0",
156
  "communication_protocol_version": "1.5.0",
157
  "pytorch_version": "1.11.0+cu102",
158
  "numpy_version": "1.21.2",
159
- "end_time_seconds": "1683279659"
160
  },
161
- "total": 28.752500829999917,
162
  "count": 1,
163
- "self": 0.43344727799967586,
164
  "children": {
165
  "run_training.setup": {
166
- "total": 0.04060176200005117,
167
  "count": 1,
168
- "self": 0.04060176200005117
169
  },
170
  "TrainerController.start_learning": {
171
- "total": 28.27845179000019,
172
  "count": 1,
173
- "self": 0.050298429999656946,
174
  "children": {
175
  "TrainerController._reset_env": {
176
- "total": 5.218312665999974,
177
  "count": 1,
178
- "self": 5.218312665999974
179
  },
180
  "TrainerController.advance": {
181
- "total": 22.848813578000545,
182
- "count": 931,
183
- "self": 0.012539371995217152,
184
  "children": {
185
  "env_step": {
186
- "total": 22.836274206005328,
187
- "count": 931,
188
- "self": 16.601151568004525,
189
  "children": {
190
  "SubprocessEnvManager._take_step": {
191
- "total": 6.222414203002245,
192
- "count": 931,
193
- "self": 0.08063506700136713,
194
  "children": {
195
  "TorchPolicy.evaluate": {
196
- "total": 6.141779136000878,
197
- "count": 931,
198
- "self": 6.141779136000878
199
  }
200
  }
201
  },
202
  "workers": {
203
- "total": 0.012708434998558005,
204
- "count": 931,
205
  "self": 0.0,
206
  "children": {
207
  "worker_root": {
208
- "total": 28.047405189997335,
209
- "count": 931,
210
  "is_parallel": true,
211
- "self": 15.407515427995804,
212
  "children": {
213
  "run_training.setup": {
214
  "total": 0.0,
@@ -217,48 +217,48 @@
217
  "self": 0.0,
218
  "children": {
219
  "steps_from_proto": {
220
- "total": 0.007735242000080689,
221
  "count": 1,
222
  "is_parallel": true,
223
- "self": 0.006233841999573997,
224
  "children": {
225
  "_process_rank_one_or_two_observation": {
226
- "total": 0.0015014000005066919,
227
  "count": 10,
228
  "is_parallel": true,
229
- "self": 0.0015014000005066919
230
  }
231
  }
232
  },
233
  "UnityEnvironment.step": {
234
- "total": 0.05210185700002512,
235
  "count": 1,
236
  "is_parallel": true,
237
- "self": 0.000565791999861176,
238
  "children": {
239
  "UnityEnvironment._generate_step_input": {
240
- "total": 0.00044090400001550734,
241
  "count": 1,
242
  "is_parallel": true,
243
- "self": 0.00044090400001550734
244
  },
245
  "communicator.exchange": {
246
- "total": 0.0485687059999691,
247
  "count": 1,
248
  "is_parallel": true,
249
- "self": 0.0485687059999691
250
  },
251
  "steps_from_proto": {
252
- "total": 0.0025264550001793395,
253
  "count": 1,
254
  "is_parallel": true,
255
- "self": 0.0003929669996978191,
256
  "children": {
257
  "_process_rank_one_or_two_observation": {
258
- "total": 0.0021334880004815204,
259
  "count": 10,
260
  "is_parallel": true,
261
- "self": 0.0021334880004815204
262
  }
263
  }
264
  }
@@ -267,34 +267,34 @@
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
- "total": 12.63988976200153,
271
- "count": 930,
272
  "is_parallel": true,
273
- "self": 0.49495689800164655,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
- "total": 0.2655887619987425,
277
- "count": 930,
278
  "is_parallel": true,
279
- "self": 0.2655887619987425
280
  },
281
  "communicator.exchange": {
282
- "total": 10.152741015001766,
283
- "count": 930,
284
  "is_parallel": true,
285
- "self": 10.152741015001766
286
  },
287
  "steps_from_proto": {
288
- "total": 1.7266030869993756,
289
- "count": 930,
290
  "is_parallel": true,
291
- "self": 0.33530688799078234,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
- "total": 1.3912961990085932,
295
- "count": 9300,
296
  "is_parallel": true,
297
- "self": 1.3912961990085932
298
  }
299
  }
300
  }
@@ -309,9 +309,9 @@
309
  }
310
  },
311
  "trainer_threads": {
312
- "total": 0.0002213340001162578,
313
  "count": 1,
314
- "self": 0.0002213340001162578,
315
  "children": {
316
  "thread_root": {
317
  "total": 0.0,
@@ -320,28 +320,36 @@
320
  "self": 0.0,
321
  "children": {
322
  "trainer_advance": {
323
- "total": 22.66529308300619,
324
- "count": 24889,
325
  "is_parallel": true,
326
- "self": 0.5348454970010152,
327
  "children": {
328
  "process_trajectory": {
329
- "total": 13.72370477100526,
330
- "count": 24889,
331
  "is_parallel": true,
332
- "self": 13.72370477100526
 
 
 
 
 
 
 
 
333
  },
334
  "_update_policy": {
335
- "total": 8.406742814999916,
336
- "count": 4,
337
  "is_parallel": true,
338
- "self": 3.07030464500167,
339
  "children": {
340
  "TorchPPOOptimizer.update": {
341
- "total": 5.336438169998246,
342
- "count": 201,
343
  "is_parallel": true,
344
- "self": 5.336438169998246
345
  }
346
  }
347
  }
@@ -352,14 +360,14 @@
352
  }
353
  },
354
  "TrainerController._save_models": {
355
- "total": 0.1608057819998976,
356
  "count": 1,
357
- "self": 0.0008927029998631042,
358
  "children": {
359
  "RLTrainer._checkpoint": {
360
- "total": 0.15991307900003449,
361
  "count": 1,
362
- "self": 0.15991307900003449
363
  }
364
  }
365
  }
 
2
  "name": "root",
3
  "gauges": {
4
  "SnowballTarget.Policy.Entropy.mean": {
5
+ "value": 2.801654815673828,
6
+ "min": 2.7997958660125732,
7
+ "max": 2.890307903289795,
8
+ "count": 20
9
  },
10
  "SnowballTarget.Policy.Entropy.sum": {
11
+ "value": 4222.09375,
12
+ "min": 1879.363525390625,
13
+ "max": 4296.60595703125,
14
+ "count": 20
15
  },
16
  "SnowballTarget.Step.mean": {
17
+ "value": 19992.0,
18
  "min": 960.0,
19
+ "max": 19992.0,
20
+ "count": 20
21
  },
22
  "SnowballTarget.Step.sum": {
23
+ "value": 19992.0,
24
  "min": 960.0,
25
+ "max": 19992.0,
26
+ "count": 20
27
  },
28
  "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
29
+ "value": 1.4630661010742188,
30
+ "min": 0.054035332053899765,
31
+ "max": 1.4630661010742188,
32
+ "count": 20
33
  },
34
  "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 38.03971862792969,
36
+ "min": 0.8137731552124023,
37
+ "max": 38.03971862792969,
38
+ "count": 20
39
  },
40
  "SnowballTarget.IsTraining.mean": {
41
  "value": 1.0,
42
  "min": 1.0,
43
  "max": 1.0,
44
+ "count": 20
45
  },
46
  "SnowballTarget.IsTraining.sum": {
47
  "value": 1.0,
48
  "min": 1.0,
49
  "max": 1.0,
50
+ "count": 20
51
  },
52
  "SnowballTarget.Environment.EpisodeLength.mean": {
53
  "value": 199.0,
54
  "min": 199.0,
55
  "max": 199.0,
56
+ "count": 9
57
  },
58
  "SnowballTarget.Environment.EpisodeLength.sum": {
59
  "value": 2189.0,
60
  "min": 2189.0,
61
  "max": 2189.0,
62
+ "count": 9
63
  },
64
  "SnowballTarget.Losses.PolicyLoss.mean": {
65
+ "value": 0.07258494993313398,
66
+ "min": 0.05907012469833717,
67
+ "max": 0.08416848606886525,
68
+ "count": 9
69
  },
70
  "SnowballTarget.Losses.PolicyLoss.sum": {
71
+ "value": 0.07258494993313398,
72
+ "min": 0.05907012469833717,
73
+ "max": 0.08416848606886525,
74
+ "count": 9
75
  },
76
  "SnowballTarget.Losses.ValueLoss.mean": {
77
+ "value": 0.21661260315016204,
78
+ "min": 0.06433110148645937,
79
+ "max": 0.21661260315016204,
80
+ "count": 9
81
  },
82
  "SnowballTarget.Losses.ValueLoss.sum": {
83
+ "value": 0.21661260315016204,
84
+ "min": 0.06433110148645937,
85
+ "max": 0.21661260315016204,
86
+ "count": 9
87
  },
88
  "SnowballTarget.Policy.LearningRate.mean": {
89
+ "value": 4.320098559999991e-06,
90
+ "min": 4.320098559999991e-06,
91
+ "max": 0.00026832001056,
92
+ "count": 9
93
  },
94
  "SnowballTarget.Policy.LearningRate.sum": {
95
+ "value": 4.320098559999991e-06,
96
+ "min": 4.320098559999991e-06,
97
+ "max": 0.00026832001056,
98
+ "count": 9
99
  },
100
  "SnowballTarget.Policy.Epsilon.mean": {
101
+ "value": 0.10144,
102
+ "min": 0.10144,
103
+ "max": 0.18944000000000003,
104
+ "count": 9
105
  },
106
  "SnowballTarget.Policy.Epsilon.sum": {
107
+ "value": 0.10144,
108
+ "min": 0.10144,
109
+ "max": 0.18944000000000003,
110
+ "count": 9
111
  },
112
  "SnowballTarget.Policy.Beta.mean": {
113
+ "value": 8.185599999999986e-05,
114
+ "min": 8.185599999999986e-05,
115
+ "max": 0.0044730559999999996,
116
+ "count": 9
117
  },
118
  "SnowballTarget.Policy.Beta.sum": {
119
+ "value": 8.185599999999986e-05,
120
+ "min": 8.185599999999986e-05,
121
+ "max": 0.0044730559999999996,
122
+ "count": 9
123
  },
124
  "SnowballTarget.Environment.CumulativeReward.mean": {
125
+ "value": 6.363636363636363,
126
+ "min": 1.9090909090909092,
127
+ "max": 6.363636363636363,
128
+ "count": 10
129
  },
130
  "SnowballTarget.Environment.CumulativeReward.sum": {
131
+ "value": 70.0,
132
+ "min": 6.0,
133
+ "max": 70.0,
134
+ "count": 10
135
  },
136
  "SnowballTarget.Policy.ExtrinsicReward.mean": {
137
+ "value": 6.363636363636363,
138
+ "min": 1.9090909090909092,
139
+ "max": 6.363636363636363,
140
+ "count": 10
141
  },
142
  "SnowballTarget.Policy.ExtrinsicReward.sum": {
143
+ "value": 70.0,
144
+ "min": 6.0,
145
+ "max": 70.0,
146
+ "count": 10
147
  }
148
  },
149
  "metadata": {
150
  "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1683279866",
152
  "python_version": "3.10.11 (main, Apr 5 2023, 14:15:10) [GCC 9.4.0]",
153
+ "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget2 --no-graphics",
154
  "mlagents_version": "0.31.0.dev0",
155
  "mlagents_envs_version": "0.31.0.dev0",
156
  "communication_protocol_version": "1.5.0",
157
  "pytorch_version": "1.11.0+cu102",
158
  "numpy_version": "1.21.2",
159
+ "end_time_seconds": "1683279920"
160
  },
161
+ "total": 53.57713409799999,
162
  "count": 1,
163
+ "self": 0.6897066520000408,
164
  "children": {
165
  "run_training.setup": {
166
+ "total": 0.03874288199995135,
167
  "count": 1,
168
+ "self": 0.03874288199995135
169
  },
170
  "TrainerController.start_learning": {
171
+ "total": 52.848684563999996,
172
  "count": 1,
173
+ "self": 0.07185487300466775,
174
  "children": {
175
  "TrainerController._reset_env": {
176
+ "total": 3.8306307689999812,
177
  "count": 1,
178
+ "self": 3.8306307689999812
179
  },
180
  "TrainerController.advance": {
181
+ "total": 48.78620302299532,
182
+ "count": 1874,
183
+ "self": 0.028755773993907496,
184
  "children": {
185
  "env_step": {
186
+ "total": 48.757447249001416,
187
+ "count": 1874,
188
+ "self": 35.38897093799119,
189
  "children": {
190
  "SubprocessEnvManager._take_step": {
191
+ "total": 13.341887148011892,
192
+ "count": 1874,
193
+ "self": 0.1632166190136104,
194
  "children": {
195
  "TorchPolicy.evaluate": {
196
+ "total": 13.178670528998282,
197
+ "count": 1874,
198
+ "self": 13.178670528998282
199
  }
200
  }
201
  },
202
  "workers": {
203
+ "total": 0.02658916299833436,
204
+ "count": 1874,
205
  "self": 0.0,
206
  "children": {
207
  "worker_root": {
208
+ "total": 52.55357760500169,
209
+ "count": 1874,
210
  "is_parallel": true,
211
+ "self": 26.85210147700036,
212
  "children": {
213
  "run_training.setup": {
214
  "total": 0.0,
 
217
  "self": 0.0,
218
  "children": {
219
  "steps_from_proto": {
220
+ "total": 0.0017832309999903373,
221
  "count": 1,
222
  "is_parallel": true,
223
+ "self": 0.0004351480001787422,
224
  "children": {
225
  "_process_rank_one_or_two_observation": {
226
+ "total": 0.001348082999811595,
227
  "count": 10,
228
  "is_parallel": true,
229
+ "self": 0.001348082999811595
230
  }
231
  }
232
  },
233
  "UnityEnvironment.step": {
234
+ "total": 0.03532547099985095,
235
  "count": 1,
236
  "is_parallel": true,
237
+ "self": 0.0005585599999449187,
238
  "children": {
239
  "UnityEnvironment._generate_step_input": {
240
+ "total": 0.00031621499988432333,
241
  "count": 1,
242
  "is_parallel": true,
243
+ "self": 0.00031621499988432333
244
  },
245
  "communicator.exchange": {
246
+ "total": 0.032542380999984744,
247
  "count": 1,
248
  "is_parallel": true,
249
+ "self": 0.032542380999984744
250
  },
251
  "steps_from_proto": {
252
+ "total": 0.0019083150000369642,
253
  "count": 1,
254
  "is_parallel": true,
255
+ "self": 0.0003870910002206074,
256
  "children": {
257
  "_process_rank_one_or_two_observation": {
258
+ "total": 0.0015212239998163568,
259
  "count": 10,
260
  "is_parallel": true,
261
+ "self": 0.0015212239998163568
262
  }
263
  }
264
  }
 
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
+ "total": 25.70147612800133,
271
+ "count": 1873,
272
  "is_parallel": true,
273
+ "self": 1.013799609001353,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
+ "total": 0.5504755020058383,
277
+ "count": 1873,
278
  "is_parallel": true,
279
+ "self": 0.5504755020058383
280
  },
281
  "communicator.exchange": {
282
+ "total": 20.62665870399428,
283
+ "count": 1873,
284
  "is_parallel": true,
285
+ "self": 20.62665870399428
286
  },
287
  "steps_from_proto": {
288
+ "total": 3.51054231299986,
289
+ "count": 1873,
290
  "is_parallel": true,
291
+ "self": 0.6997057490038969,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
+ "total": 2.810836563995963,
295
+ "count": 18730,
296
  "is_parallel": true,
297
+ "self": 2.810836563995963
298
  }
299
  }
300
  }
 
309
  }
310
  },
311
  "trainer_threads": {
312
+ "total": 0.00022436899985223135,
313
  "count": 1,
314
+ "self": 0.00022436899985223135,
315
  "children": {
316
  "thread_root": {
317
  "total": 0.0,
 
320
  "self": 0.0,
321
  "children": {
322
  "trainer_advance": {
323
+ "total": 48.43041554401316,
324
+ "count": 43769,
325
  "is_parallel": true,
326
+ "self": 1.0189565230202788,
327
  "children": {
328
  "process_trajectory": {
329
+ "total": 27.539691928992625,
330
+ "count": 43769,
331
  "is_parallel": true,
332
+ "self": 26.128432137992377,
333
+ "children": {
334
+ "RLTrainer._checkpoint": {
335
+ "total": 1.4112597910002478,
336
+ "count": 4,
337
+ "is_parallel": true,
338
+ "self": 1.4112597910002478
339
+ }
340
+ }
341
  },
342
  "_update_policy": {
343
+ "total": 19.871767092000255,
344
+ "count": 9,
345
  "is_parallel": true,
346
+ "self": 7.773654529000169,
347
  "children": {
348
  "TorchPPOOptimizer.update": {
349
+ "total": 12.098112563000086,
350
+ "count": 456,
351
  "is_parallel": true,
352
+ "self": 12.098112563000086
353
  }
354
  }
355
  }
 
360
  }
361
  },
362
  "TrainerController._save_models": {
363
+ "total": 0.15977153000017097,
364
  "count": 1,
365
+ "self": 0.0008451560001958569,
366
  "children": {
367
  "RLTrainer._checkpoint": {
368
+ "total": 0.1589263739999751,
369
  "count": 1,
370
+ "self": 0.1589263739999751
371
  }
372
  }
373
  }
run_logs/training_status.json CHANGED
@@ -2,22 +2,58 @@
2
  "SnowballTarget": {
3
  "checkpoints": [
4
  {
5
- "steps": 10208,
6
- "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-10208.onnx",
7
- "reward": 4.2727272727272725,
8
- "creation_time": 1683279658.6516836,
9
  "auxillary_file_paths": [
10
- "results/SnowballTarget1/SnowballTarget/SnowballTarget-10208.pt"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ]
12
  }
13
  ],
14
  "final_checkpoint": {
15
- "steps": 10208,
16
- "file_path": "results/SnowballTarget1/SnowballTarget.onnx",
17
- "reward": 4.2727272727272725,
18
- "creation_time": 1683279658.6516836,
19
  "auxillary_file_paths": [
20
- "results/SnowballTarget1/SnowballTarget/SnowballTarget-10208.pt"
21
  ]
22
  }
23
  },
 
2
  "SnowballTarget": {
3
  "checkpoints": [
4
  {
5
+ "steps": 4976,
6
+ "file_path": "results/SnowballTarget2/SnowballTarget/SnowballTarget-4976.onnx",
7
+ "reward": 3.4545454545454546,
8
+ "creation_time": 1683279883.2266254,
9
  "auxillary_file_paths": [
10
+ "results/SnowballTarget2/SnowballTarget/SnowballTarget-4976.pt"
11
+ ]
12
+ },
13
+ {
14
+ "steps": 9952,
15
+ "file_path": "results/SnowballTarget2/SnowballTarget/SnowballTarget-9952.onnx",
16
+ "reward": 2.4545454545454546,
17
+ "creation_time": 1683279895.269015,
18
+ "auxillary_file_paths": [
19
+ "results/SnowballTarget2/SnowballTarget/SnowballTarget-9952.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 14992,
24
+ "file_path": "results/SnowballTarget2/SnowballTarget/SnowballTarget-14992.onnx",
25
+ "reward": 4.0,
26
+ "creation_time": 1683279907.0291903,
27
+ "auxillary_file_paths": [
28
+ "results/SnowballTarget2/SnowballTarget/SnowballTarget-14992.pt"
29
+ ]
30
+ },
31
+ {
32
+ "steps": 19992,
33
+ "file_path": "results/SnowballTarget2/SnowballTarget/SnowballTarget-19992.onnx",
34
+ "reward": 6.363636363636363,
35
+ "creation_time": 1683279919.2386408,
36
+ "auxillary_file_paths": [
37
+ "results/SnowballTarget2/SnowballTarget/SnowballTarget-19992.pt"
38
+ ]
39
+ },
40
+ {
41
+ "steps": 20376,
42
+ "file_path": "results/SnowballTarget2/SnowballTarget/SnowballTarget-20376.onnx",
43
+ "reward": 6.363636363636363,
44
+ "creation_time": 1683279919.4465008,
45
+ "auxillary_file_paths": [
46
+ "results/SnowballTarget2/SnowballTarget/SnowballTarget-20376.pt"
47
  ]
48
  }
49
  ],
50
  "final_checkpoint": {
51
+ "steps": 20376,
52
+ "file_path": "results/SnowballTarget2/SnowballTarget.onnx",
53
+ "reward": 6.363636363636363,
54
+ "creation_time": 1683279919.4465008,
55
  "auxillary_file_paths": [
56
+ "results/SnowballTarget2/SnowballTarget/SnowballTarget-20376.pt"
57
  ]
58
  }
59
  },