wuff-mann commited on
Commit
62668aa
·
verified ·
1 Parent(s): fdc5ab7

Upload folder using huggingface_hub

Browse files
Files changed (44) hide show
  1. .gitattributes +1 -0
  2. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/benchmark_summary.png +0 -0
  3. 实验1/stic_m_v4_moving_shapes_exp1/config.json +27 -0
  4. 实验1/stic_m_v4_moving_shapes_exp1/fno_lite/checkpoint.pt +3 -0
  5. 实验1/stic_m_v4_moving_shapes_exp1/fno_lite/metrics.json +30 -0
  6. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/fno_lite/prediction_example.png +0 -0
  7. 实验1/stic_m_v4_moving_shapes_exp1/fno_lite/train_log.json +182 -0
  8. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/gate_summary.png +0 -0
  9. 实验1/stic_m_v4_moving_shapes_exp1/lead_rmse.png +3 -0
  10. 实验1/stic_m_v4_moving_shapes_exp1/persistence/metrics.json +30 -0
  11. 实验1/stic_m_v4_moving_shapes_exp1/results.csv +11 -0
  12. 实验1/stic_m_v4_moving_shapes_exp1/results.json +342 -0
  13. 实验1/stic_m_v4_moving_shapes_exp1/simvp_lite/checkpoint.pt +3 -0
  14. 实验1/stic_m_v4_moving_shapes_exp1/simvp_lite/metrics.json +30 -0
  15. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/simvp_lite/prediction_example.png +0 -0
  16. 实验1/stic_m_v4_moving_shapes_exp1/simvp_lite/train_log.json +182 -0
  17. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_blackbox/checkpoint.pt +3 -0
  18. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_blackbox/metrics.json +35 -0
  19. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_blackbox/prediction_example.png +0 -0
  20. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_blackbox/train_log.json +248 -0
  21. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_full/checkpoint.pt +3 -0
  22. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_full/metrics.json +35 -0
  23. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_full/prediction_example.png +0 -0
  24. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_full/train_log.json +248 -0
  25. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_dissipation/checkpoint.pt +3 -0
  26. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_dissipation/metrics.json +35 -0
  27. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_no_dissipation/prediction_example.png +0 -0
  28. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_dissipation/train_log.json +248 -0
  29. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_folding/checkpoint.pt +3 -0
  30. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_folding/metrics.json +35 -0
  31. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_no_folding/prediction_example.png +0 -0
  32. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_folding/train_log.json +248 -0
  33. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_gates/checkpoint.pt +3 -0
  34. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_gates/metrics.json +35 -0
  35. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_no_gates/prediction_example.png +0 -0
  36. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_gates/train_log.json +248 -0
  37. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_spectral/checkpoint.pt +3 -0
  38. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_spectral/metrics.json +35 -0
  39. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_no_spectral/prediction_example.png +0 -0
  40. 实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_spectral/train_log.json +248 -0
  41. 实验1/stic_m_v4_moving_shapes_exp1/unet_lite/checkpoint.pt +3 -0
  42. 实验1/stic_m_v4_moving_shapes_exp1/unet_lite/metrics.json +30 -0
  43. /345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/unet_lite/prediction_example.png +0 -0
  44. 实验1/stic_m_v4_moving_shapes_exp1/unet_lite/train_log.json +182 -0
.gitattributes CHANGED
@@ -62,3 +62,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
62
  实验1/stic_m_v4_ks1d_exp1/sticm_v4_no_gates/prediction_example.png filter=lfs diff=lfs merge=lfs -text
63
  实验1/stic_m_v4_ks1d_exp1/sticm_v4_no_spectral/prediction_example.png filter=lfs diff=lfs merge=lfs -text
64
  实验1/stic_m_v4_ks1d_exp1/unet_lite/prediction_example.png filter=lfs diff=lfs merge=lfs -text
 
 
62
  实验1/stic_m_v4_ks1d_exp1/sticm_v4_no_gates/prediction_example.png filter=lfs diff=lfs merge=lfs -text
63
  实验1/stic_m_v4_ks1d_exp1/sticm_v4_no_spectral/prediction_example.png filter=lfs diff=lfs merge=lfs -text
64
  实验1/stic_m_v4_ks1d_exp1/unet_lite/prediction_example.png filter=lfs diff=lfs merge=lfs -text
65
+ 实验1/stic_m_v4_moving_shapes_exp1/lead_rmse.png filter=lfs diff=lfs merge=lfs -text
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/benchmark_summary.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cfg": {
3
+ "preset": "colab_quick",
4
+ "dataset": "moving_shapes",
5
+ "n_seq": 72,
6
+ "total_steps": 64,
7
+ "height": 16,
8
+ "width": 32,
9
+ "hist_len": 4,
10
+ "horizon": 8,
11
+ "latent_dim": 32,
12
+ "hidden": 64,
13
+ "batch_size": 32,
14
+ "steps": 250,
15
+ "lr": 0.002,
16
+ "seed": 11,
17
+ "eval_every": 50,
18
+ "device": "auto",
19
+ "num_workers": 0
20
+ },
21
+ "meta": {
22
+ "channels": 1,
23
+ "port_channels": 2,
24
+ "height": 16,
25
+ "width": 32
26
+ }
27
+ }
实验1/stic_m_v4_moving_shapes_exp1/fno_lite/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:64e801e263a903849ba6e21e7dc37948399bd2467c0182cee10b0ec5824a3615
3
+ size 4229685
实验1/stic_m_v4_moving_shapes_exp1/fno_lite/metrics.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.11165006458759308,
3
+ "rmse_last": 0.13857942819595337,
4
+ "mae_mean": 0.07498650252819061,
5
+ "mae_last": 0.0944899171590805,
6
+ "spectral_error": 0.0020190147450193765,
7
+ "eval_seconds_per_batch": 0.0046155166625976565,
8
+ "mean_energy_drift": NaN,
9
+ "mean_reverse_error": NaN,
10
+ "mean_fold_dyn_error": NaN,
11
+ "lead_1_rmse": 0.10242787003517151,
12
+ "lead_2_rmse": 0.09863416850566864,
13
+ "lead_3_rmse": 0.10749683529138565,
14
+ "lead_4_rmse": 0.1088099405169487,
15
+ "lead_5_rmse": 0.10910040140151978,
16
+ "lead_6_rmse": 0.11428645998239517,
17
+ "lead_7_rmse": 0.11386540532112122,
18
+ "lead_8_rmse": 0.13857942819595337,
19
+ "lead_1_mae": 0.07100901752710342,
20
+ "lead_2_mae": 0.0668119415640831,
21
+ "lead_3_mae": 0.07001934200525284,
22
+ "lead_4_mae": 0.07369302213191986,
23
+ "lead_5_mae": 0.0724438801407814,
24
+ "lead_6_mae": 0.07541491836309433,
25
+ "lead_7_mae": 0.07601001858711243,
26
+ "lead_8_mae": 0.0944899171590805,
27
+ "model": "fno_lite",
28
+ "params": 530824,
29
+ "train_seconds": 3.414436101913452
30
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/fno_lite/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/fno_lite/train_log.json ADDED
@@ -0,0 +1,182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_total": 0.9980037808418274,
5
+ "loss_pred": 0.9980037808418274,
6
+ "rmse_mean": 0.9927692413330078,
7
+ "rmse_last": 0.9938110709190369,
8
+ "mae_mean": 0.806678831577301,
9
+ "mae_last": 0.8290582895278931,
10
+ "spectral_error": 0.11958463350310922,
11
+ "eval_seconds_per_batch": 0.005158856511116028,
12
+ "mean_energy_drift": NaN,
13
+ "mean_reverse_error": NaN,
14
+ "mean_fold_dyn_error": NaN,
15
+ "lead_1_rmse": 0.9948291778564453,
16
+ "lead_2_rmse": 1.0000909566879272,
17
+ "lead_3_rmse": 0.9941534399986267,
18
+ "lead_4_rmse": 0.9995051026344299,
19
+ "lead_5_rmse": 0.9891284704208374,
20
+ "lead_6_rmse": 0.986007034778595,
21
+ "lead_7_rmse": 0.9846286773681641,
22
+ "lead_8_rmse": 0.9938110709190369,
23
+ "lead_1_mae": 0.8227462768554688,
24
+ "lead_2_mae": 0.8392454385757446,
25
+ "lead_3_mae": 0.8240861892700195,
26
+ "lead_4_mae": 0.8413984775543213,
27
+ "lead_5_mae": 0.752662181854248,
28
+ "lead_6_mae": 0.7630782127380371,
29
+ "lead_7_mae": 0.7811555862426758,
30
+ "lead_8_mae": 0.8290582895278931
31
+ },
32
+ {
33
+ "step": 50,
34
+ "loss_total": 0.10697966814041138,
35
+ "loss_pred": 0.10697966814041138,
36
+ "rmse_mean": 0.3024541735649109,
37
+ "rmse_last": 0.4201987385749817,
38
+ "mae_mean": 0.20833179354667664,
39
+ "mae_last": 0.28307199478149414,
40
+ "spectral_error": 0.007920178672065958,
41
+ "eval_seconds_per_batch": 0.004608407616615295,
42
+ "mean_energy_drift": NaN,
43
+ "mean_reverse_error": NaN,
44
+ "mean_fold_dyn_error": NaN,
45
+ "lead_1_rmse": 0.2741902768611908,
46
+ "lead_2_rmse": 0.2516552805900574,
47
+ "lead_3_rmse": 0.28829118609428406,
48
+ "lead_4_rmse": 0.3127463161945343,
49
+ "lead_5_rmse": 0.28090840578079224,
50
+ "lead_6_rmse": 0.28287380933761597,
51
+ "lead_7_rmse": 0.3087693154811859,
52
+ "lead_8_rmse": 0.4201987385749817,
53
+ "lead_1_mae": 0.19312965869903564,
54
+ "lead_2_mae": 0.1761605143547058,
55
+ "lead_3_mae": 0.18624995648860931,
56
+ "lead_4_mae": 0.21978391706943512,
57
+ "lead_5_mae": 0.1914810687303543,
58
+ "lead_6_mae": 0.20091597735881805,
59
+ "lead_7_mae": 0.2158612310886383,
60
+ "lead_8_mae": 0.28307199478149414
61
+ },
62
+ {
63
+ "step": 100,
64
+ "loss_total": 0.04189024120569229,
65
+ "loss_pred": 0.04189024120569229,
66
+ "rmse_mean": 0.18159513175487518,
67
+ "rmse_last": 0.2388349175453186,
68
+ "mae_mean": 0.11976756155490875,
69
+ "mae_last": 0.15992982685565948,
70
+ "spectral_error": 0.004017305967863649,
71
+ "eval_seconds_per_batch": 0.00489102303981781,
72
+ "mean_energy_drift": NaN,
73
+ "mean_reverse_error": NaN,
74
+ "mean_fold_dyn_error": NaN,
75
+ "lead_1_rmse": 0.1911454200744629,
76
+ "lead_2_rmse": 0.15246939659118652,
77
+ "lead_3_rmse": 0.15441782772541046,
78
+ "lead_4_rmse": 0.18693561851978302,
79
+ "lead_5_rmse": 0.18212786316871643,
80
+ "lead_6_rmse": 0.17245988547801971,
81
+ "lead_7_rmse": 0.1743701845407486,
82
+ "lead_8_rmse": 0.2388349175453186,
83
+ "lead_1_mae": 0.12789927423000336,
84
+ "lead_2_mae": 0.10083027929067612,
85
+ "lead_3_mae": 0.09865397214889526,
86
+ "lead_4_mae": 0.12324628233909607,
87
+ "lead_5_mae": 0.11801249533891678,
88
+ "lead_6_mae": 0.113070547580719,
89
+ "lead_7_mae": 0.11649782210588455,
90
+ "lead_8_mae": 0.15992982685565948
91
+ },
92
+ {
93
+ "step": 150,
94
+ "loss_total": 0.02236074209213257,
95
+ "loss_pred": 0.02236074209213257,
96
+ "rmse_mean": 0.14161130785942078,
97
+ "rmse_last": 0.17683684825897217,
98
+ "mae_mean": 0.094342440366745,
99
+ "mae_last": 0.11933863162994385,
100
+ "spectral_error": 0.002924069747678004,
101
+ "eval_seconds_per_batch": 0.004777088761329651,
102
+ "mean_energy_drift": NaN,
103
+ "mean_reverse_error": NaN,
104
+ "mean_fold_dyn_error": NaN,
105
+ "lead_1_rmse": 0.1331283003091812,
106
+ "lead_2_rmse": 0.1257953941822052,
107
+ "lead_3_rmse": 0.13248145580291748,
108
+ "lead_4_rmse": 0.13661985099315643,
109
+ "lead_5_rmse": 0.14197660982608795,
110
+ "lead_6_rmse": 0.14373943209648132,
111
+ "lead_7_rmse": 0.14231249690055847,
112
+ "lead_8_rmse": 0.17683684825897217,
113
+ "lead_1_mae": 0.09194646775722504,
114
+ "lead_2_mae": 0.08444090932607651,
115
+ "lead_3_mae": 0.08457706868648529,
116
+ "lead_4_mae": 0.09268859773874283,
117
+ "lead_5_mae": 0.09269104897975922,
118
+ "lead_6_mae": 0.09397966414690018,
119
+ "lead_7_mae": 0.09507711231708527,
120
+ "lead_8_mae": 0.11933863162994385
121
+ },
122
+ {
123
+ "step": 200,
124
+ "loss_total": 0.014966185204684734,
125
+ "loss_pred": 0.014966185204684734,
126
+ "rmse_mean": 0.12537485361099243,
127
+ "rmse_last": 0.15624010562896729,
128
+ "mae_mean": 0.08336283266544342,
129
+ "mae_last": 0.10658122599124908,
130
+ "spectral_error": 0.0024497914855601266,
131
+ "eval_seconds_per_batch": 0.004471078515052795,
132
+ "mean_energy_drift": NaN,
133
+ "mean_reverse_error": NaN,
134
+ "mean_fold_dyn_error": NaN,
135
+ "lead_1_rmse": 0.11563212424516678,
136
+ "lead_2_rmse": 0.11076188832521439,
137
+ "lead_3_rmse": 0.12183590233325958,
138
+ "lead_4_rmse": 0.12143784761428833,
139
+ "lead_5_rmse": 0.1223553940653801,
140
+ "lead_6_rmse": 0.1267097145318985,
141
+ "lead_7_rmse": 0.1280258595943451,
142
+ "lead_8_rmse": 0.15624010562896729,
143
+ "lead_1_mae": 0.07874457538127899,
144
+ "lead_2_mae": 0.0737324208021164,
145
+ "lead_3_mae": 0.07760303467512131,
146
+ "lead_4_mae": 0.08100023865699768,
147
+ "lead_5_mae": 0.08007483929395676,
148
+ "lead_6_mae": 0.08346115052700043,
149
+ "lead_7_mae": 0.08570514619350433,
150
+ "lead_8_mae": 0.10658122599124908
151
+ },
152
+ {
153
+ "step": 250,
154
+ "loss_total": 0.01513681374490261,
155
+ "loss_pred": 0.01513681374490261,
156
+ "rmse_mean": 0.1137341558933258,
157
+ "rmse_last": 0.14049766957759857,
158
+ "mae_mean": 0.07572788745164871,
159
+ "mae_last": 0.09547437727451324,
160
+ "spectral_error": 0.0021251158032100648,
161
+ "eval_seconds_per_batch": 0.004473581910133362,
162
+ "mean_energy_drift": NaN,
163
+ "mean_reverse_error": NaN,
164
+ "mean_fold_dyn_error": NaN,
165
+ "lead_1_rmse": 0.10326631367206573,
166
+ "lead_2_rmse": 0.10002267360687256,
167
+ "lead_3_rmse": 0.10977854579687119,
168
+ "lead_4_rmse": 0.11226063221693039,
169
+ "lead_5_rmse": 0.11214090883731842,
170
+ "lead_6_rmse": 0.11628413200378418,
171
+ "lead_7_rmse": 0.11562234163284302,
172
+ "lead_8_rmse": 0.14049766957759857,
173
+ "lead_1_mae": 0.07089453190565109,
174
+ "lead_2_mae": 0.067311130464077,
175
+ "lead_3_mae": 0.07063256949186325,
176
+ "lead_4_mae": 0.07529408484697342,
177
+ "lead_5_mae": 0.07352938503026962,
178
+ "lead_6_mae": 0.0760432556271553,
179
+ "lead_7_mae": 0.07664378732442856,
180
+ "lead_8_mae": 0.09547437727451324
181
+ }
182
+ ]
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/gate_summary.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/lead_rmse.png ADDED

Git LFS Details

  • SHA256: 5c82d9b0836ab09968ca48ac4b8aa3a9ac5b6f1731d6dcb11eef8c15be551525
  • Pointer size: 131 Bytes
  • Size of remote file: 116 kB
实验1/stic_m_v4_moving_shapes_exp1/persistence/metrics.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.7848848700523376,
3
+ "rmse_last": 1.1423779726028442,
4
+ "mae_mean": 0.5099213719367981,
5
+ "mae_last": 0.7692611217498779,
6
+ "spectral_error": 0.013827093560248613,
7
+ "eval_seconds_per_batch": 0.0020890140533447264,
8
+ "mean_energy_drift": NaN,
9
+ "mean_reverse_error": NaN,
10
+ "mean_fold_dyn_error": NaN,
11
+ "lead_1_rmse": 0.2392665147781372,
12
+ "lead_2_rmse": 0.4545850455760956,
13
+ "lead_3_rmse": 0.6393378973007202,
14
+ "lead_4_rmse": 0.7919283509254456,
15
+ "lead_5_rmse": 0.9146217107772827,
16
+ "lead_6_rmse": 1.0112231969833374,
17
+ "lead_7_rmse": 1.0857386589050293,
18
+ "lead_8_rmse": 1.1423779726028442,
19
+ "lead_1_mae": 0.14543382823467255,
20
+ "lead_2_mae": 0.27997058629989624,
21
+ "lead_3_mae": 0.40021637082099915,
22
+ "lead_4_mae": 0.5042790770530701,
23
+ "lead_5_mae": 0.5922510623931885,
24
+ "lead_6_mae": 0.6647557020187378,
25
+ "lead_7_mae": 0.723203182220459,
26
+ "lead_8_mae": 0.7692611217498779,
27
+ "model": "persistence",
28
+ "params": 0,
29
+ "train_seconds": 0.0
30
+ }
实验1/stic_m_v4_moving_shapes_exp1/results.csv ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ rmse_mean,rmse_last,mae_mean,mae_last,spectral_error,eval_seconds_per_batch,mean_energy_drift,mean_reverse_error,mean_fold_dyn_error,lead_1_rmse,lead_2_rmse,lead_3_rmse,lead_4_rmse,lead_5_rmse,lead_6_rmse,lead_7_rmse,lead_8_rmse,lead_1_mae,lead_2_mae,lead_3_mae,lead_4_mae,lead_5_mae,lead_6_mae,lead_7_mae,lead_8_mae,model,params,train_seconds,dataset,gate_closed,gate_spectral,gate_port,gate_fold,gate_dissipation
2
+ 0.7848848700523376,1.1423779726028442,0.5099213719367981,0.7692611217498779,0.013827093560248613,0.0020890140533447264,nan,nan,nan,0.2392665147781372,0.4545850455760956,0.6393378973007202,0.7919283509254456,0.9146217107772827,1.0112231969833374,1.0857386589050293,1.1423779726028442,0.14543382823467255,0.27997058629989624,0.40021637082099915,0.5042790770530701,0.5922510623931885,0.6647557020187378,0.723203182220459,0.7692611217498779,persistence,0,0.0,moving_shapes,,,,,
3
+ 0.20708945393562317,0.22638316452503204,0.154865100979805,0.16855871677398682,0.0032747922372072936,0.03620184898376465,0.06942205280065536,0.00861807979643345,0.017026487514376642,0.19382062554359436,0.19687627255916595,0.2008797824382782,0.2037615031003952,0.2067217230796814,0.21091046929359436,0.21736206114292145,0.22638316452503204,0.14540588855743408,0.14795874059200287,0.1507158875465393,0.15244336426258087,0.1542433202266693,0.15738314390182495,0.16221170127391815,0.16855871677398682,sticm_v4_full,539623,28.008225202560425,moving_shapes,0.03318878263235092,0.1518697440624237,0.6864572167396545,0.005085432436317205,0.005063395947217941
4
+ 0.14133065938949585,0.1627718210220337,0.10256370902061462,0.11664406955242157,0.002646743725053966,0.030197038650512695,0.022633572481572627,0.017363742589950562,0.021173742339015006,0.10973463207483292,0.12436021119356155,0.13632972538471222,0.1423390805721283,0.14687089622020721,0.1516057699918747,0.15663301944732666,0.1627718210220337,0.0817311480641365,0.09034818410873413,0.09846962988376617,0.10354934632778168,0.10698425024747849,0.10989261418581009,0.11289040744304657,0.11664406955242157,sticm_v4_no_gates,539623,27.096070766448975,moving_shapes,1.0,1.0,1.0,1.0,1.0
5
+ 0.1296919882297516,0.15626762807369232,0.08596709370613098,0.09902963787317276,0.002116734660230577,0.029886484146118164,0.011062230914831161,0.002844747994095087,0.003969734832644463,0.11555702239274979,0.1109975278377533,0.11837954819202423,0.1250908225774765,0.13031616806983948,0.13628838956356049,0.1446387618780136,0.15626762807369232,0.08247707039117813,0.07698105275630951,0.07978333532810211,0.08290798962116241,0.08541682362556458,0.08838851004838943,0.09275234490633011,0.09902963787317276,sticm_v4_no_spectral,539623,27.34296441078186,moving_shapes,0.00045285443775355816,0.0,0.9999780058860779,5.363373929867521e-05,1.7163743905257434e-05
6
+ 0.10821138322353363,0.1281086653470993,0.07004961371421814,0.0827348455786705,0.001584798840340227,0.03587088584899902,0.007889563748613,0.0027266217581927775,0.005700550880283118,0.08832062780857086,0.0912938192486763,0.10127203166484833,0.1080046072602272,0.11229066550731659,0.11589187383651733,0.12050876766443253,0.1281086653470993,0.059347666800022125,0.05931365489959717,0.06490721553564072,0.06931961327791214,0.07228973507881165,0.07472115755081177,0.07776301354169846,0.0827348455786705,sticm_v4_no_dissipation,539623,27.75553584098816,moving_shapes,0.0236456710845232,0.19776134192943573,0.5505784749984741,0.003389535238966346,0.0
7
+ 0.1534731388092041,0.17597591876983643,0.11371025443077087,0.13105058670043945,0.002497290424071252,0.03012310028076172,0.02826412856578827,0.005690871495753527,0.021068671494722368,0.13078024983406067,0.13856613636016846,0.1473299264907837,0.1521526277065277,0.1557113230228424,0.16028961539268494,0.1669793277978897,0.17597591876983643,0.0970180332660675,0.1014472022652626,0.10746781527996063,0.11191602796316147,0.11573798954486847,0.11997894197702408,0.125065416097641,0.13105058670043945,sticm_v4_no_folding,539623,27.752861738204956,moving_shapes,0.07522192597389221,0.21121680736541748,0.599591851234436,0.0,0.006906813941895962
8
+ 0.38400939106941223,0.5664146542549133,0.2515209913253784,0.3766629099845886,0.00952370023354888,0.018440093994140625,6.997859401702881,0.07858301669359208,0.3383083391189575,0.19325391948223114,0.22048011422157288,0.29306933283805847,0.37024474143981934,0.42985743284225464,0.47724759578704834,0.5215074419975281,0.5664146542549133,0.12828616797924042,0.13835029304027557,0.18602533638477325,0.24087554216384888,0.28213849663734436,0.3145170211791992,0.34531235694885254,0.3766629099845886,sticm_v4_blackbox,539623,16.87491536140442,moving_shapes,0.0,0.0,0.0,0.0,0.0
9
+ 0.12774229049682617,0.14530813694000244,0.08599644899368286,0.09964360296726227,0.0020819826191291213,0.005195608139038086,nan,nan,nan,0.10562004894018173,0.1128864586353302,0.12051070481538773,0.1256520301103592,0.13369722664356232,0.1372280716896057,0.14103566110134125,0.14530813694000244,0.07215950638055801,0.07439936697483063,0.0788947269320488,0.08240804076194763,0.09011809527873993,0.09344806522130966,0.09690019488334656,0.09964360296726227,simvp_lite,316872,3.517200469970703,moving_shapes,,,,,
10
+ 0.11165006458759308,0.13857942819595337,0.07498650252819061,0.0944899171590805,0.0020190147450193765,0.0046155166625976565,nan,nan,nan,0.10242787003517151,0.09863416850566864,0.10749683529138565,0.1088099405169487,0.10910040140151978,0.11428645998239517,0.11386540532112122,0.13857942819595337,0.07100901752710342,0.0668119415640831,0.07001934200525284,0.07369302213191986,0.0724438801407814,0.07541491836309433,0.07601001858711243,0.0944899171590805,fno_lite,530824,3.414436101913452,moving_shapes,,,,,
11
+ 0.11898637562990189,0.13696104288101196,0.077875055372715,0.09108266979455948,0.0021448929188773035,0.0034030532836914064,nan,nan,nan,0.10366576910018921,0.11208924651145935,0.11846699565649033,0.11576920747756958,0.11795565485954285,0.12006501853466034,0.12691809237003326,0.13696104288101196,0.06903789192438126,0.0755542740225792,0.07845678180456161,0.07437876611948013,0.07561659067869186,0.07676268368959427,0.08211078494787216,0.09108266979455948,unet_lite,203816,2.2011868953704834,moving_shapes,,,,,
实验1/stic_m_v4_moving_shapes_exp1/results.json ADDED
@@ -0,0 +1,342 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "rmse_mean": 0.7848848700523376,
4
+ "rmse_last": 1.1423779726028442,
5
+ "mae_mean": 0.5099213719367981,
6
+ "mae_last": 0.7692611217498779,
7
+ "spectral_error": 0.013827093560248613,
8
+ "eval_seconds_per_batch": 0.0020890140533447264,
9
+ "mean_energy_drift": NaN,
10
+ "mean_reverse_error": NaN,
11
+ "mean_fold_dyn_error": NaN,
12
+ "lead_1_rmse": 0.2392665147781372,
13
+ "lead_2_rmse": 0.4545850455760956,
14
+ "lead_3_rmse": 0.6393378973007202,
15
+ "lead_4_rmse": 0.7919283509254456,
16
+ "lead_5_rmse": 0.9146217107772827,
17
+ "lead_6_rmse": 1.0112231969833374,
18
+ "lead_7_rmse": 1.0857386589050293,
19
+ "lead_8_rmse": 1.1423779726028442,
20
+ "lead_1_mae": 0.14543382823467255,
21
+ "lead_2_mae": 0.27997058629989624,
22
+ "lead_3_mae": 0.40021637082099915,
23
+ "lead_4_mae": 0.5042790770530701,
24
+ "lead_5_mae": 0.5922510623931885,
25
+ "lead_6_mae": 0.6647557020187378,
26
+ "lead_7_mae": 0.723203182220459,
27
+ "lead_8_mae": 0.7692611217498779,
28
+ "model": "persistence",
29
+ "params": 0,
30
+ "train_seconds": 0.0,
31
+ "dataset": "moving_shapes"
32
+ },
33
+ {
34
+ "rmse_mean": 0.20708945393562317,
35
+ "rmse_last": 0.22638316452503204,
36
+ "mae_mean": 0.154865100979805,
37
+ "mae_last": 0.16855871677398682,
38
+ "spectral_error": 0.0032747922372072936,
39
+ "eval_seconds_per_batch": 0.03620184898376465,
40
+ "mean_energy_drift": 0.06942205280065536,
41
+ "mean_reverse_error": 0.00861807979643345,
42
+ "mean_fold_dyn_error": 0.017026487514376642,
43
+ "gate_closed": 0.03318878263235092,
44
+ "gate_spectral": 0.1518697440624237,
45
+ "gate_port": 0.6864572167396545,
46
+ "gate_fold": 0.005085432436317205,
47
+ "gate_dissipation": 0.005063395947217941,
48
+ "lead_1_rmse": 0.19382062554359436,
49
+ "lead_2_rmse": 0.19687627255916595,
50
+ "lead_3_rmse": 0.2008797824382782,
51
+ "lead_4_rmse": 0.2037615031003952,
52
+ "lead_5_rmse": 0.2067217230796814,
53
+ "lead_6_rmse": 0.21091046929359436,
54
+ "lead_7_rmse": 0.21736206114292145,
55
+ "lead_8_rmse": 0.22638316452503204,
56
+ "lead_1_mae": 0.14540588855743408,
57
+ "lead_2_mae": 0.14795874059200287,
58
+ "lead_3_mae": 0.1507158875465393,
59
+ "lead_4_mae": 0.15244336426258087,
60
+ "lead_5_mae": 0.1542433202266693,
61
+ "lead_6_mae": 0.15738314390182495,
62
+ "lead_7_mae": 0.16221170127391815,
63
+ "lead_8_mae": 0.16855871677398682,
64
+ "model": "sticm_v4_full",
65
+ "params": 539623,
66
+ "train_seconds": 28.008225202560425,
67
+ "dataset": "moving_shapes"
68
+ },
69
+ {
70
+ "rmse_mean": 0.14133065938949585,
71
+ "rmse_last": 0.1627718210220337,
72
+ "mae_mean": 0.10256370902061462,
73
+ "mae_last": 0.11664406955242157,
74
+ "spectral_error": 0.002646743725053966,
75
+ "eval_seconds_per_batch": 0.030197038650512695,
76
+ "mean_energy_drift": 0.022633572481572627,
77
+ "mean_reverse_error": 0.017363742589950562,
78
+ "mean_fold_dyn_error": 0.021173742339015006,
79
+ "gate_closed": 1.0,
80
+ "gate_spectral": 1.0,
81
+ "gate_port": 1.0,
82
+ "gate_fold": 1.0,
83
+ "gate_dissipation": 1.0,
84
+ "lead_1_rmse": 0.10973463207483292,
85
+ "lead_2_rmse": 0.12436021119356155,
86
+ "lead_3_rmse": 0.13632972538471222,
87
+ "lead_4_rmse": 0.1423390805721283,
88
+ "lead_5_rmse": 0.14687089622020721,
89
+ "lead_6_rmse": 0.1516057699918747,
90
+ "lead_7_rmse": 0.15663301944732666,
91
+ "lead_8_rmse": 0.1627718210220337,
92
+ "lead_1_mae": 0.0817311480641365,
93
+ "lead_2_mae": 0.09034818410873413,
94
+ "lead_3_mae": 0.09846962988376617,
95
+ "lead_4_mae": 0.10354934632778168,
96
+ "lead_5_mae": 0.10698425024747849,
97
+ "lead_6_mae": 0.10989261418581009,
98
+ "lead_7_mae": 0.11289040744304657,
99
+ "lead_8_mae": 0.11664406955242157,
100
+ "model": "sticm_v4_no_gates",
101
+ "params": 539623,
102
+ "train_seconds": 27.096070766448975,
103
+ "dataset": "moving_shapes"
104
+ },
105
+ {
106
+ "rmse_mean": 0.1296919882297516,
107
+ "rmse_last": 0.15626762807369232,
108
+ "mae_mean": 0.08596709370613098,
109
+ "mae_last": 0.09902963787317276,
110
+ "spectral_error": 0.002116734660230577,
111
+ "eval_seconds_per_batch": 0.029886484146118164,
112
+ "mean_energy_drift": 0.011062230914831161,
113
+ "mean_reverse_error": 0.002844747994095087,
114
+ "mean_fold_dyn_error": 0.003969734832644463,
115
+ "gate_closed": 0.00045285443775355816,
116
+ "gate_spectral": 0.0,
117
+ "gate_port": 0.9999780058860779,
118
+ "gate_fold": 5.363373929867521e-05,
119
+ "gate_dissipation": 1.7163743905257434e-05,
120
+ "lead_1_rmse": 0.11555702239274979,
121
+ "lead_2_rmse": 0.1109975278377533,
122
+ "lead_3_rmse": 0.11837954819202423,
123
+ "lead_4_rmse": 0.1250908225774765,
124
+ "lead_5_rmse": 0.13031616806983948,
125
+ "lead_6_rmse": 0.13628838956356049,
126
+ "lead_7_rmse": 0.1446387618780136,
127
+ "lead_8_rmse": 0.15626762807369232,
128
+ "lead_1_mae": 0.08247707039117813,
129
+ "lead_2_mae": 0.07698105275630951,
130
+ "lead_3_mae": 0.07978333532810211,
131
+ "lead_4_mae": 0.08290798962116241,
132
+ "lead_5_mae": 0.08541682362556458,
133
+ "lead_6_mae": 0.08838851004838943,
134
+ "lead_7_mae": 0.09275234490633011,
135
+ "lead_8_mae": 0.09902963787317276,
136
+ "model": "sticm_v4_no_spectral",
137
+ "params": 539623,
138
+ "train_seconds": 27.34296441078186,
139
+ "dataset": "moving_shapes"
140
+ },
141
+ {
142
+ "rmse_mean": 0.10821138322353363,
143
+ "rmse_last": 0.1281086653470993,
144
+ "mae_mean": 0.07004961371421814,
145
+ "mae_last": 0.0827348455786705,
146
+ "spectral_error": 0.001584798840340227,
147
+ "eval_seconds_per_batch": 0.03587088584899902,
148
+ "mean_energy_drift": 0.007889563748613,
149
+ "mean_reverse_error": 0.0027266217581927775,
150
+ "mean_fold_dyn_error": 0.005700550880283118,
151
+ "gate_closed": 0.0236456710845232,
152
+ "gate_spectral": 0.19776134192943573,
153
+ "gate_port": 0.5505784749984741,
154
+ "gate_fold": 0.003389535238966346,
155
+ "gate_dissipation": 0.0,
156
+ "lead_1_rmse": 0.08832062780857086,
157
+ "lead_2_rmse": 0.0912938192486763,
158
+ "lead_3_rmse": 0.10127203166484833,
159
+ "lead_4_rmse": 0.1080046072602272,
160
+ "lead_5_rmse": 0.11229066550731659,
161
+ "lead_6_rmse": 0.11589187383651733,
162
+ "lead_7_rmse": 0.12050876766443253,
163
+ "lead_8_rmse": 0.1281086653470993,
164
+ "lead_1_mae": 0.059347666800022125,
165
+ "lead_2_mae": 0.05931365489959717,
166
+ "lead_3_mae": 0.06490721553564072,
167
+ "lead_4_mae": 0.06931961327791214,
168
+ "lead_5_mae": 0.07228973507881165,
169
+ "lead_6_mae": 0.07472115755081177,
170
+ "lead_7_mae": 0.07776301354169846,
171
+ "lead_8_mae": 0.0827348455786705,
172
+ "model": "sticm_v4_no_dissipation",
173
+ "params": 539623,
174
+ "train_seconds": 27.75553584098816,
175
+ "dataset": "moving_shapes"
176
+ },
177
+ {
178
+ "rmse_mean": 0.1534731388092041,
179
+ "rmse_last": 0.17597591876983643,
180
+ "mae_mean": 0.11371025443077087,
181
+ "mae_last": 0.13105058670043945,
182
+ "spectral_error": 0.002497290424071252,
183
+ "eval_seconds_per_batch": 0.03012310028076172,
184
+ "mean_energy_drift": 0.02826412856578827,
185
+ "mean_reverse_error": 0.005690871495753527,
186
+ "mean_fold_dyn_error": 0.021068671494722368,
187
+ "gate_closed": 0.07522192597389221,
188
+ "gate_spectral": 0.21121680736541748,
189
+ "gate_port": 0.599591851234436,
190
+ "gate_fold": 0.0,
191
+ "gate_dissipation": 0.006906813941895962,
192
+ "lead_1_rmse": 0.13078024983406067,
193
+ "lead_2_rmse": 0.13856613636016846,
194
+ "lead_3_rmse": 0.1473299264907837,
195
+ "lead_4_rmse": 0.1521526277065277,
196
+ "lead_5_rmse": 0.1557113230228424,
197
+ "lead_6_rmse": 0.16028961539268494,
198
+ "lead_7_rmse": 0.1669793277978897,
199
+ "lead_8_rmse": 0.17597591876983643,
200
+ "lead_1_mae": 0.0970180332660675,
201
+ "lead_2_mae": 0.1014472022652626,
202
+ "lead_3_mae": 0.10746781527996063,
203
+ "lead_4_mae": 0.11191602796316147,
204
+ "lead_5_mae": 0.11573798954486847,
205
+ "lead_6_mae": 0.11997894197702408,
206
+ "lead_7_mae": 0.125065416097641,
207
+ "lead_8_mae": 0.13105058670043945,
208
+ "model": "sticm_v4_no_folding",
209
+ "params": 539623,
210
+ "train_seconds": 27.752861738204956,
211
+ "dataset": "moving_shapes"
212
+ },
213
+ {
214
+ "rmse_mean": 0.38400939106941223,
215
+ "rmse_last": 0.5664146542549133,
216
+ "mae_mean": 0.2515209913253784,
217
+ "mae_last": 0.3766629099845886,
218
+ "spectral_error": 0.00952370023354888,
219
+ "eval_seconds_per_batch": 0.018440093994140625,
220
+ "mean_energy_drift": 6.997859401702881,
221
+ "mean_reverse_error": 0.07858301669359208,
222
+ "mean_fold_dyn_error": 0.3383083391189575,
223
+ "gate_closed": 0.0,
224
+ "gate_spectral": 0.0,
225
+ "gate_port": 0.0,
226
+ "gate_fold": 0.0,
227
+ "gate_dissipation": 0.0,
228
+ "lead_1_rmse": 0.19325391948223114,
229
+ "lead_2_rmse": 0.22048011422157288,
230
+ "lead_3_rmse": 0.29306933283805847,
231
+ "lead_4_rmse": 0.37024474143981934,
232
+ "lead_5_rmse": 0.42985743284225464,
233
+ "lead_6_rmse": 0.47724759578704834,
234
+ "lead_7_rmse": 0.5215074419975281,
235
+ "lead_8_rmse": 0.5664146542549133,
236
+ "lead_1_mae": 0.12828616797924042,
237
+ "lead_2_mae": 0.13835029304027557,
238
+ "lead_3_mae": 0.18602533638477325,
239
+ "lead_4_mae": 0.24087554216384888,
240
+ "lead_5_mae": 0.28213849663734436,
241
+ "lead_6_mae": 0.3145170211791992,
242
+ "lead_7_mae": 0.34531235694885254,
243
+ "lead_8_mae": 0.3766629099845886,
244
+ "model": "sticm_v4_blackbox",
245
+ "params": 539623,
246
+ "train_seconds": 16.87491536140442,
247
+ "dataset": "moving_shapes"
248
+ },
249
+ {
250
+ "rmse_mean": 0.12774229049682617,
251
+ "rmse_last": 0.14530813694000244,
252
+ "mae_mean": 0.08599644899368286,
253
+ "mae_last": 0.09964360296726227,
254
+ "spectral_error": 0.0020819826191291213,
255
+ "eval_seconds_per_batch": 0.005195608139038086,
256
+ "mean_energy_drift": NaN,
257
+ "mean_reverse_error": NaN,
258
+ "mean_fold_dyn_error": NaN,
259
+ "lead_1_rmse": 0.10562004894018173,
260
+ "lead_2_rmse": 0.1128864586353302,
261
+ "lead_3_rmse": 0.12051070481538773,
262
+ "lead_4_rmse": 0.1256520301103592,
263
+ "lead_5_rmse": 0.13369722664356232,
264
+ "lead_6_rmse": 0.1372280716896057,
265
+ "lead_7_rmse": 0.14103566110134125,
266
+ "lead_8_rmse": 0.14530813694000244,
267
+ "lead_1_mae": 0.07215950638055801,
268
+ "lead_2_mae": 0.07439936697483063,
269
+ "lead_3_mae": 0.0788947269320488,
270
+ "lead_4_mae": 0.08240804076194763,
271
+ "lead_5_mae": 0.09011809527873993,
272
+ "lead_6_mae": 0.09344806522130966,
273
+ "lead_7_mae": 0.09690019488334656,
274
+ "lead_8_mae": 0.09964360296726227,
275
+ "model": "simvp_lite",
276
+ "params": 316872,
277
+ "train_seconds": 3.517200469970703,
278
+ "dataset": "moving_shapes"
279
+ },
280
+ {
281
+ "rmse_mean": 0.11165006458759308,
282
+ "rmse_last": 0.13857942819595337,
283
+ "mae_mean": 0.07498650252819061,
284
+ "mae_last": 0.0944899171590805,
285
+ "spectral_error": 0.0020190147450193765,
286
+ "eval_seconds_per_batch": 0.0046155166625976565,
287
+ "mean_energy_drift": NaN,
288
+ "mean_reverse_error": NaN,
289
+ "mean_fold_dyn_error": NaN,
290
+ "lead_1_rmse": 0.10242787003517151,
291
+ "lead_2_rmse": 0.09863416850566864,
292
+ "lead_3_rmse": 0.10749683529138565,
293
+ "lead_4_rmse": 0.1088099405169487,
294
+ "lead_5_rmse": 0.10910040140151978,
295
+ "lead_6_rmse": 0.11428645998239517,
296
+ "lead_7_rmse": 0.11386540532112122,
297
+ "lead_8_rmse": 0.13857942819595337,
298
+ "lead_1_mae": 0.07100901752710342,
299
+ "lead_2_mae": 0.0668119415640831,
300
+ "lead_3_mae": 0.07001934200525284,
301
+ "lead_4_mae": 0.07369302213191986,
302
+ "lead_5_mae": 0.0724438801407814,
303
+ "lead_6_mae": 0.07541491836309433,
304
+ "lead_7_mae": 0.07601001858711243,
305
+ "lead_8_mae": 0.0944899171590805,
306
+ "model": "fno_lite",
307
+ "params": 530824,
308
+ "train_seconds": 3.414436101913452,
309
+ "dataset": "moving_shapes"
310
+ },
311
+ {
312
+ "rmse_mean": 0.11898637562990189,
313
+ "rmse_last": 0.13696104288101196,
314
+ "mae_mean": 0.077875055372715,
315
+ "mae_last": 0.09108266979455948,
316
+ "spectral_error": 0.0021448929188773035,
317
+ "eval_seconds_per_batch": 0.0034030532836914064,
318
+ "mean_energy_drift": NaN,
319
+ "mean_reverse_error": NaN,
320
+ "mean_fold_dyn_error": NaN,
321
+ "lead_1_rmse": 0.10366576910018921,
322
+ "lead_2_rmse": 0.11208924651145935,
323
+ "lead_3_rmse": 0.11846699565649033,
324
+ "lead_4_rmse": 0.11576920747756958,
325
+ "lead_5_rmse": 0.11795565485954285,
326
+ "lead_6_rmse": 0.12006501853466034,
327
+ "lead_7_rmse": 0.12691809237003326,
328
+ "lead_8_rmse": 0.13696104288101196,
329
+ "lead_1_mae": 0.06903789192438126,
330
+ "lead_2_mae": 0.0755542740225792,
331
+ "lead_3_mae": 0.07845678180456161,
332
+ "lead_4_mae": 0.07437876611948013,
333
+ "lead_5_mae": 0.07561659067869186,
334
+ "lead_6_mae": 0.07676268368959427,
335
+ "lead_7_mae": 0.08211078494787216,
336
+ "lead_8_mae": 0.09108266979455948,
337
+ "model": "unet_lite",
338
+ "params": 203816,
339
+ "train_seconds": 2.2011868953704834,
340
+ "dataset": "moving_shapes"
341
+ }
342
+ ]
实验1/stic_m_v4_moving_shapes_exp1/simvp_lite/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cbfa60e6dd24c4d636350e45d31165562801e9077d37cf36ba25d9c95183c0c
3
+ size 1279733
实验1/stic_m_v4_moving_shapes_exp1/simvp_lite/metrics.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.12774229049682617,
3
+ "rmse_last": 0.14530813694000244,
4
+ "mae_mean": 0.08599644899368286,
5
+ "mae_last": 0.09964360296726227,
6
+ "spectral_error": 0.0020819826191291213,
7
+ "eval_seconds_per_batch": 0.005195608139038086,
8
+ "mean_energy_drift": NaN,
9
+ "mean_reverse_error": NaN,
10
+ "mean_fold_dyn_error": NaN,
11
+ "lead_1_rmse": 0.10562004894018173,
12
+ "lead_2_rmse": 0.1128864586353302,
13
+ "lead_3_rmse": 0.12051070481538773,
14
+ "lead_4_rmse": 0.1256520301103592,
15
+ "lead_5_rmse": 0.13369722664356232,
16
+ "lead_6_rmse": 0.1372280716896057,
17
+ "lead_7_rmse": 0.14103566110134125,
18
+ "lead_8_rmse": 0.14530813694000244,
19
+ "lead_1_mae": 0.07215950638055801,
20
+ "lead_2_mae": 0.07439936697483063,
21
+ "lead_3_mae": 0.0788947269320488,
22
+ "lead_4_mae": 0.08240804076194763,
23
+ "lead_5_mae": 0.09011809527873993,
24
+ "lead_6_mae": 0.09344806522130966,
25
+ "lead_7_mae": 0.09690019488334656,
26
+ "lead_8_mae": 0.09964360296726227,
27
+ "model": "simvp_lite",
28
+ "params": 316872,
29
+ "train_seconds": 3.517200469970703
30
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/simvp_lite/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/simvp_lite/train_log.json ADDED
@@ -0,0 +1,182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_total": 1.1733214855194092,
5
+ "loss_pred": 1.1733214855194092,
6
+ "rmse_mean": 1.0036840438842773,
7
+ "rmse_last": 1.0347328186035156,
8
+ "mae_mean": 0.7966798543930054,
9
+ "mae_last": 0.8684383630752563,
10
+ "spectral_error": 0.023921559448353946,
11
+ "eval_seconds_per_batch": 0.0053482502698898315,
12
+ "mean_energy_drift": NaN,
13
+ "mean_reverse_error": NaN,
14
+ "mean_fold_dyn_error": NaN,
15
+ "lead_1_rmse": 1.653254747390747,
16
+ "lead_2_rmse": 0.8897572159767151,
17
+ "lead_3_rmse": 0.7331339120864868,
18
+ "lead_4_rmse": 0.8184093236923218,
19
+ "lead_5_rmse": 1.0642271041870117,
20
+ "lead_6_rmse": 0.972432553768158,
21
+ "lead_7_rmse": 0.8635249137878418,
22
+ "lead_8_rmse": 1.0347328186035156,
23
+ "lead_1_mae": 1.1871848106384277,
24
+ "lead_2_mae": 0.7234525680541992,
25
+ "lead_3_mae": 0.5992900133132935,
26
+ "lead_4_mae": 0.6543086171150208,
27
+ "lead_5_mae": 0.8275882005691528,
28
+ "lead_6_mae": 0.7868993878364563,
29
+ "lead_7_mae": 0.726276695728302,
30
+ "lead_8_mae": 0.8684383630752563
31
+ },
32
+ {
33
+ "step": 50,
34
+ "loss_total": 0.0586002953350544,
35
+ "loss_pred": 0.0586002953350544,
36
+ "rmse_mean": 0.23402166366577148,
37
+ "rmse_last": 0.2653334140777588,
38
+ "mae_mean": 0.17280808091163635,
39
+ "mae_last": 0.19728319346904755,
40
+ "spectral_error": 0.004958584206178784,
41
+ "eval_seconds_per_batch": 0.006243973970413208,
42
+ "mean_energy_drift": NaN,
43
+ "mean_reverse_error": NaN,
44
+ "mean_fold_dyn_error": NaN,
45
+ "lead_1_rmse": 0.20410297811031342,
46
+ "lead_2_rmse": 0.21528245508670807,
47
+ "lead_3_rmse": 0.21912053227424622,
48
+ "lead_4_rmse": 0.22846147418022156,
49
+ "lead_5_rmse": 0.2378806322813034,
50
+ "lead_6_rmse": 0.24552598595619202,
51
+ "lead_7_rmse": 0.2564657926559448,
52
+ "lead_8_rmse": 0.2653334140777588,
53
+ "lead_1_mae": 0.15546424686908722,
54
+ "lead_2_mae": 0.15273718535900116,
55
+ "lead_3_mae": 0.15503981709480286,
56
+ "lead_4_mae": 0.16815835237503052,
57
+ "lead_5_mae": 0.1815498173236847,
58
+ "lead_6_mae": 0.17863509058952332,
59
+ "lead_7_mae": 0.19359686970710754,
60
+ "lead_8_mae": 0.19728319346904755
61
+ },
62
+ {
63
+ "step": 100,
64
+ "loss_total": 0.030749352648854256,
65
+ "loss_pred": 0.030749352648854256,
66
+ "rmse_mean": 0.17152373492717743,
67
+ "rmse_last": 0.20446857810020447,
68
+ "mae_mean": 0.11877608299255371,
69
+ "mae_last": 0.14372025430202484,
70
+ "spectral_error": 0.0032554893841734156,
71
+ "eval_seconds_per_batch": 0.005884438753128052,
72
+ "mean_energy_drift": NaN,
73
+ "mean_reverse_error": NaN,
74
+ "mean_fold_dyn_error": NaN,
75
+ "lead_1_rmse": 0.1511422097682953,
76
+ "lead_2_rmse": 0.16364651918411255,
77
+ "lead_3_rmse": 0.16348445415496826,
78
+ "lead_4_rmse": 0.16337977349758148,
79
+ "lead_5_rmse": 0.16671808063983917,
80
+ "lead_6_rmse": 0.17225098609924316,
81
+ "lead_7_rmse": 0.18709932267665863,
82
+ "lead_8_rmse": 0.20446857810020447,
83
+ "lead_1_mae": 0.10474503040313721,
84
+ "lead_2_mae": 0.1167338639497757,
85
+ "lead_3_mae": 0.11212248355150223,
86
+ "lead_4_mae": 0.11401274800300598,
87
+ "lead_5_mae": 0.11059547960758209,
88
+ "lead_6_mae": 0.1171066015958786,
89
+ "lead_7_mae": 0.13117218017578125,
90
+ "lead_8_mae": 0.14372025430202484
91
+ },
92
+ {
93
+ "step": 150,
94
+ "loss_total": 0.036404773592948914,
95
+ "loss_pred": 0.036404773592948914,
96
+ "rmse_mean": 0.17439119517803192,
97
+ "rmse_last": 0.1946481615304947,
98
+ "mae_mean": 0.13085941970348358,
99
+ "mae_last": 0.1445028930902481,
100
+ "spectral_error": 0.0029681860396522097,
101
+ "eval_seconds_per_batch": 0.00606265664100647,
102
+ "mean_energy_drift": NaN,
103
+ "mean_reverse_error": NaN,
104
+ "mean_fold_dyn_error": NaN,
105
+ "lead_1_rmse": 0.14397388696670532,
106
+ "lead_2_rmse": 0.14483918249607086,
107
+ "lead_3_rmse": 0.1584947407245636,
108
+ "lead_4_rmse": 0.1674395203590393,
109
+ "lead_5_rmse": 0.19304794073104858,
110
+ "lead_6_rmse": 0.19727660715579987,
111
+ "lead_7_rmse": 0.19540958106517792,
112
+ "lead_8_rmse": 0.1946481615304947,
113
+ "lead_1_mae": 0.11153978109359741,
114
+ "lead_2_mae": 0.10533643513917923,
115
+ "lead_3_mae": 0.11500909924507141,
116
+ "lead_4_mae": 0.12155153602361679,
117
+ "lead_5_mae": 0.14876820147037506,
118
+ "lead_6_mae": 0.15018831193447113,
119
+ "lead_7_mae": 0.1499791145324707,
120
+ "lead_8_mae": 0.1445028930902481
121
+ },
122
+ {
123
+ "step": 200,
124
+ "loss_total": 0.02499379776418209,
125
+ "loss_pred": 0.02499379776418209,
126
+ "rmse_mean": 0.1380232274532318,
127
+ "rmse_last": 0.15315183997154236,
128
+ "mae_mean": 0.09388222545385361,
129
+ "mae_last": 0.10145311057567596,
130
+ "spectral_error": 0.002533995000703726,
131
+ "eval_seconds_per_batch": 0.0056406110525131226,
132
+ "mean_energy_drift": NaN,
133
+ "mean_reverse_error": NaN,
134
+ "mean_fold_dyn_error": NaN,
135
+ "lead_1_rmse": 0.1199532300233841,
136
+ "lead_2_rmse": 0.13080640137195587,
137
+ "lead_3_rmse": 0.1296577900648117,
138
+ "lead_4_rmse": 0.1345396637916565,
139
+ "lead_5_rmse": 0.14089739322662354,
140
+ "lead_6_rmse": 0.14599557220935822,
141
+ "lead_7_rmse": 0.14918392896652222,
142
+ "lead_8_rmse": 0.15315183997154236,
143
+ "lead_1_mae": 0.08015269041061401,
144
+ "lead_2_mae": 0.08482575416564941,
145
+ "lead_3_mae": 0.08689647912979126,
146
+ "lead_4_mae": 0.09438298642635345,
147
+ "lead_5_mae": 0.0976463109254837,
148
+ "lead_6_mae": 0.10329682379961014,
149
+ "lead_7_mae": 0.10240361839532852,
150
+ "lead_8_mae": 0.10145311057567596
151
+ },
152
+ {
153
+ "step": 250,
154
+ "loss_total": 0.02865499258041382,
155
+ "loss_pred": 0.02865499258041382,
156
+ "rmse_mean": 0.13362780213356018,
157
+ "rmse_last": 0.15116378664970398,
158
+ "mae_mean": 0.0890691801905632,
159
+ "mae_last": 0.10308989882469177,
160
+ "spectral_error": 0.0023432829038938507,
161
+ "eval_seconds_per_batch": 0.0053898245096206665,
162
+ "mean_energy_drift": NaN,
163
+ "mean_reverse_error": NaN,
164
+ "mean_fold_dyn_error": NaN,
165
+ "lead_1_rmse": 0.11078161001205444,
166
+ "lead_2_rmse": 0.11887218058109283,
167
+ "lead_3_rmse": 0.12698480486869812,
168
+ "lead_4_rmse": 0.13167846202850342,
169
+ "lead_5_rmse": 0.13926546275615692,
170
+ "lead_6_rmse": 0.1432090848684311,
171
+ "lead_7_rmse": 0.14706702530384064,
172
+ "lead_8_rmse": 0.15116378664970398,
173
+ "lead_1_mae": 0.07440050691366196,
174
+ "lead_2_mae": 0.07698617875576019,
175
+ "lead_3_mae": 0.08189309388399124,
176
+ "lead_4_mae": 0.08518688380718231,
177
+ "lead_5_mae": 0.093252032995224,
178
+ "lead_6_mae": 0.09711593389511108,
179
+ "lead_7_mae": 0.10062892735004425,
180
+ "lead_8_mae": 0.10308989882469177
181
+ }
182
+ ]
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_blackbox/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7bc54bac65b3dfbd75fa93e827ec8d8183e28c5a72b2c3c50401edf061cba162
3
+ size 2715573
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_blackbox/metrics.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.38400939106941223,
3
+ "rmse_last": 0.5664146542549133,
4
+ "mae_mean": 0.2515209913253784,
5
+ "mae_last": 0.3766629099845886,
6
+ "spectral_error": 0.00952370023354888,
7
+ "eval_seconds_per_batch": 0.018440093994140625,
8
+ "mean_energy_drift": 6.997859401702881,
9
+ "mean_reverse_error": 0.07858301669359208,
10
+ "mean_fold_dyn_error": 0.3383083391189575,
11
+ "gate_closed": 0.0,
12
+ "gate_spectral": 0.0,
13
+ "gate_port": 0.0,
14
+ "gate_fold": 0.0,
15
+ "gate_dissipation": 0.0,
16
+ "lead_1_rmse": 0.19325391948223114,
17
+ "lead_2_rmse": 0.22048011422157288,
18
+ "lead_3_rmse": 0.29306933283805847,
19
+ "lead_4_rmse": 0.37024474143981934,
20
+ "lead_5_rmse": 0.42985743284225464,
21
+ "lead_6_rmse": 0.47724759578704834,
22
+ "lead_7_rmse": 0.5215074419975281,
23
+ "lead_8_rmse": 0.5664146542549133,
24
+ "lead_1_mae": 0.12828616797924042,
25
+ "lead_2_mae": 0.13835029304027557,
26
+ "lead_3_mae": 0.18602533638477325,
27
+ "lead_4_mae": 0.24087554216384888,
28
+ "lead_5_mae": 0.28213849663734436,
29
+ "lead_6_mae": 0.3145170211791992,
30
+ "lead_7_mae": 0.34531235694885254,
31
+ "lead_8_mae": 0.3766629099845886,
32
+ "model": "sticm_v4_blackbox",
33
+ "params": 539623,
34
+ "train_seconds": 16.87491536140442
35
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_blackbox/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_blackbox/train_log.json ADDED
@@ -0,0 +1,248 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_pred": 0.9271748065948486,
5
+ "loss_total": 0.9271748065948486,
6
+ "loss_align": 0.0,
7
+ "loss_energy": 0.0,
8
+ "loss_reverse": 0.0,
9
+ "loss_fold": 0.0,
10
+ "loss_spectral": 0.0,
11
+ "gate_cost": 0.0,
12
+ "rmse_mean": 1.2566981315612793,
13
+ "rmse_last": 1.578000783920288,
14
+ "mae_mean": 0.8502277731895447,
15
+ "mae_last": 1.0993856191635132,
16
+ "spectral_error": 0.028169991564936936,
17
+ "eval_seconds_per_batch": 0.01981191337108612,
18
+ "mean_energy_drift": 0.6284887492656708,
19
+ "mean_reverse_error": 0.004554302809992805,
20
+ "mean_fold_dyn_error": 0.0174562931060791,
21
+ "gate_closed": 0.0,
22
+ "gate_spectral": 0.0,
23
+ "gate_port": 0.0,
24
+ "gate_fold": 0.0,
25
+ "gate_dissipation": 0.0,
26
+ "lead_1_rmse": 0.8025118708610535,
27
+ "lead_2_rmse": 0.9595258235931396,
28
+ "lead_3_rmse": 1.1157010793685913,
29
+ "lead_4_rmse": 1.2526326179504395,
30
+ "lead_5_rmse": 1.3654037714004517,
31
+ "lead_6_rmse": 1.4551117420196533,
32
+ "lead_7_rmse": 1.5246977806091309,
33
+ "lead_8_rmse": 1.578000783920288,
34
+ "lead_1_mae": 0.5211724042892456,
35
+ "lead_2_mae": 0.6273016333580017,
36
+ "lead_3_mae": 0.738349199295044,
37
+ "lead_4_mae": 0.839177668094635,
38
+ "lead_5_mae": 0.9255591630935669,
39
+ "lead_6_mae": 0.9967718124389648,
40
+ "lead_7_mae": 1.0541049242019653,
41
+ "lead_8_mae": 1.0993856191635132
42
+ },
43
+ {
44
+ "step": 50,
45
+ "loss_pred": 0.29449254274368286,
46
+ "loss_total": 0.29449254274368286,
47
+ "loss_align": 0.0,
48
+ "loss_energy": 0.0,
49
+ "loss_reverse": 0.0,
50
+ "loss_fold": 0.0,
51
+ "loss_spectral": 0.0,
52
+ "gate_cost": 0.0,
53
+ "rmse_mean": 0.4663432538509369,
54
+ "rmse_last": 0.7292885780334473,
55
+ "mae_mean": 0.3256533443927765,
56
+ "mae_last": 0.5129442811012268,
57
+ "spectral_error": 0.012301710550673306,
58
+ "eval_seconds_per_batch": 0.019625753164291382,
59
+ "mean_energy_drift": 9.863576769828796,
60
+ "mean_reverse_error": 0.07074033259414136,
61
+ "mean_fold_dyn_error": 0.32384166307747364,
62
+ "gate_closed": 0.0,
63
+ "gate_spectral": 0.0,
64
+ "gate_port": 0.0,
65
+ "gate_fold": 0.0,
66
+ "gate_dissipation": 0.0,
67
+ "lead_1_rmse": 0.25609469413757324,
68
+ "lead_2_rmse": 0.2579761743545532,
69
+ "lead_3_rmse": 0.3269540071487427,
70
+ "lead_4_rmse": 0.41470223665237427,
71
+ "lead_5_rmse": 0.5022190809249878,
72
+ "lead_6_rmse": 0.5840119123458862,
73
+ "lead_7_rmse": 0.6594994068145752,
74
+ "lead_8_rmse": 0.7292885780334473,
75
+ "lead_1_mae": 0.18553468585014343,
76
+ "lead_2_mae": 0.18298743665218353,
77
+ "lead_3_mae": 0.2260638028383255,
78
+ "lead_4_mae": 0.2844848930835724,
79
+ "lead_5_mae": 0.34627577662467957,
80
+ "lead_6_mae": 0.4057919681072235,
81
+ "lead_7_mae": 0.4611438512802124,
82
+ "lead_8_mae": 0.5129442811012268
83
+ },
84
+ {
85
+ "step": 100,
86
+ "loss_pred": 0.2056288719177246,
87
+ "loss_total": 0.2056288719177246,
88
+ "loss_align": 0.0,
89
+ "loss_energy": 0.0,
90
+ "loss_reverse": 0.0,
91
+ "loss_fold": 0.0,
92
+ "loss_spectral": 0.0,
93
+ "gate_cost": 0.0,
94
+ "rmse_mean": 0.42824786901474,
95
+ "rmse_last": 0.6395592093467712,
96
+ "mae_mean": 0.2918163537979126,
97
+ "mae_last": 0.44779524207115173,
98
+ "spectral_error": 0.01259150740224868,
99
+ "eval_seconds_per_batch": 0.020278871059417725,
100
+ "mean_energy_drift": 8.948514878749847,
101
+ "mean_reverse_error": 0.06715998705476522,
102
+ "mean_fold_dyn_error": 0.2999556642025709,
103
+ "gate_closed": 0.0,
104
+ "gate_spectral": 0.0,
105
+ "gate_port": 0.0,
106
+ "gate_fold": 0.0,
107
+ "gate_dissipation": 0.0,
108
+ "lead_1_rmse": 0.23424780368804932,
109
+ "lead_2_rmse": 0.2444600611925125,
110
+ "lead_3_rmse": 0.3157851994037628,
111
+ "lead_4_rmse": 0.39712125062942505,
112
+ "lead_5_rmse": 0.47147879004478455,
113
+ "lead_6_rmse": 0.5343971848487854,
114
+ "lead_7_rmse": 0.5889334082603455,
115
+ "lead_8_rmse": 0.6395592093467712,
116
+ "lead_1_mae": 0.16335421800613403,
117
+ "lead_2_mae": 0.15776990354061127,
118
+ "lead_3_mae": 0.20159855484962463,
119
+ "lead_4_mae": 0.26218467950820923,
120
+ "lead_5_mae": 0.32093217968940735,
121
+ "lead_6_mae": 0.3699971139431,
122
+ "lead_7_mae": 0.4108990728855133,
123
+ "lead_8_mae": 0.44779524207115173
124
+ },
125
+ {
126
+ "step": 150,
127
+ "loss_pred": 0.2530364990234375,
128
+ "loss_total": 0.2530364990234375,
129
+ "loss_align": 0.0,
130
+ "loss_energy": 0.0,
131
+ "loss_reverse": 0.0,
132
+ "loss_fold": 0.0,
133
+ "loss_spectral": 0.0,
134
+ "gate_cost": 0.0,
135
+ "rmse_mean": 0.46678027510643005,
136
+ "rmse_last": 0.6106699705123901,
137
+ "mae_mean": 0.2873983383178711,
138
+ "mae_last": 0.3867858350276947,
139
+ "spectral_error": 0.01577692071441561,
140
+ "eval_seconds_per_batch": 0.019839271903038025,
141
+ "mean_energy_drift": 9.137040823698044,
142
+ "mean_reverse_error": 0.06801414489746094,
143
+ "mean_fold_dyn_error": 0.3063075691461563,
144
+ "gate_closed": 0.0,
145
+ "gate_spectral": 0.0,
146
+ "gate_port": 0.0,
147
+ "gate_fold": 0.0,
148
+ "gate_dissipation": 0.0,
149
+ "lead_1_rmse": 0.27022141218185425,
150
+ "lead_2_rmse": 0.3176955580711365,
151
+ "lead_3_rmse": 0.39920300245285034,
152
+ "lead_4_rmse": 0.47375941276550293,
153
+ "lead_5_rmse": 0.523989737033844,
154
+ "lead_6_rmse": 0.5562196969985962,
155
+ "lead_7_rmse": 0.5824833512306213,
156
+ "lead_8_rmse": 0.6106699705123901,
157
+ "lead_1_mae": 0.17323872447013855,
158
+ "lead_2_mae": 0.19825462996959686,
159
+ "lead_3_mae": 0.23606273531913757,
160
+ "lead_4_mae": 0.2804983854293823,
161
+ "lead_5_mae": 0.3169758915901184,
162
+ "lead_6_mae": 0.34290796518325806,
163
+ "lead_7_mae": 0.36446255445480347,
164
+ "lead_8_mae": 0.3867858350276947
165
+ },
166
+ {
167
+ "step": 200,
168
+ "loss_pred": 0.26709920167922974,
169
+ "loss_total": 0.26709920167922974,
170
+ "loss_align": 0.0,
171
+ "loss_energy": 0.0,
172
+ "loss_reverse": 0.0,
173
+ "loss_fold": 0.0,
174
+ "loss_spectral": 0.0,
175
+ "gate_cost": 0.0,
176
+ "rmse_mean": 0.4314371347427368,
177
+ "rmse_last": 0.6109288930892944,
178
+ "mae_mean": 0.28042447566986084,
179
+ "mae_last": 0.40282249450683594,
180
+ "spectral_error": 0.011880283418577164,
181
+ "eval_seconds_per_batch": 0.01992379128932953,
182
+ "mean_energy_drift": 10.15090560913086,
183
+ "mean_reverse_error": 0.08507307013496757,
184
+ "mean_fold_dyn_error": 0.38321333192288876,
185
+ "gate_closed": 0.0,
186
+ "gate_spectral": 0.0,
187
+ "gate_port": 0.0,
188
+ "gate_fold": 0.0,
189
+ "gate_dissipation": 0.0,
190
+ "lead_1_rmse": 0.21566307544708252,
191
+ "lead_2_rmse": 0.25323817133903503,
192
+ "lead_3_rmse": 0.3447999656200409,
193
+ "lead_4_rmse": 0.43198856711387634,
194
+ "lead_5_rmse": 0.4910345673561096,
195
+ "lead_6_rmse": 0.5329875946044922,
196
+ "lead_7_rmse": 0.5708563327789307,
197
+ "lead_8_rmse": 0.6109288930892944,
198
+ "lead_1_mae": 0.14405624568462372,
199
+ "lead_2_mae": 0.15822960436344147,
200
+ "lead_3_mae": 0.2180349975824356,
201
+ "lead_4_mae": 0.2781853973865509,
202
+ "lead_5_mae": 0.3187583386898041,
203
+ "lead_6_mae": 0.34828245639801025,
204
+ "lead_7_mae": 0.3750261664390564,
205
+ "lead_8_mae": 0.40282249450683594
206
+ },
207
+ {
208
+ "step": 250,
209
+ "loss_pred": 0.16951768100261688,
210
+ "loss_total": 0.16951768100261688,
211
+ "loss_align": 0.0,
212
+ "loss_energy": 0.0,
213
+ "loss_reverse": 0.0,
214
+ "loss_fold": 0.0,
215
+ "loss_spectral": 0.0,
216
+ "gate_cost": 0.0,
217
+ "rmse_mean": 0.3820831775665283,
218
+ "rmse_last": 0.5635481476783752,
219
+ "mae_mean": 0.2506721317768097,
220
+ "mae_last": 0.37389782071113586,
221
+ "spectral_error": 0.009277867822675034,
222
+ "eval_seconds_per_batch": 0.02006031572818756,
223
+ "mean_energy_drift": 6.888767510652542,
224
+ "mean_reverse_error": 0.07908550882712007,
225
+ "mean_fold_dyn_error": 0.34039992839097977,
226
+ "gate_closed": 0.0,
227
+ "gate_spectral": 0.0,
228
+ "gate_port": 0.0,
229
+ "gate_fold": 0.0,
230
+ "gate_dissipation": 0.0,
231
+ "lead_1_rmse": 0.2010268270969391,
232
+ "lead_2_rmse": 0.22280952334403992,
233
+ "lead_3_rmse": 0.29023319482803345,
234
+ "lead_4_rmse": 0.36558759212493896,
235
+ "lead_5_rmse": 0.42487582564353943,
236
+ "lead_6_rmse": 0.4719492793083191,
237
+ "lead_7_rmse": 0.5166351199150085,
238
+ "lead_8_rmse": 0.5635481476783752,
239
+ "lead_1_mae": 0.1337580680847168,
240
+ "lead_2_mae": 0.13995957374572754,
241
+ "lead_3_mae": 0.18509548902511597,
242
+ "lead_4_mae": 0.2391996532678604,
243
+ "lead_5_mae": 0.2799023985862732,
244
+ "lead_6_mae": 0.31152817606925964,
245
+ "lead_7_mae": 0.34203580021858215,
246
+ "lead_8_mae": 0.37389782071113586
247
+ }
248
+ ]
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_full/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0bb51d2be9ef10fc7efb109bb65bbd4eeed1067e1fc058394c01da75b37a60c2
3
+ size 2715573
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_full/metrics.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.20708945393562317,
3
+ "rmse_last": 0.22638316452503204,
4
+ "mae_mean": 0.154865100979805,
5
+ "mae_last": 0.16855871677398682,
6
+ "spectral_error": 0.0032747922372072936,
7
+ "eval_seconds_per_batch": 0.03620184898376465,
8
+ "mean_energy_drift": 0.06942205280065536,
9
+ "mean_reverse_error": 0.00861807979643345,
10
+ "mean_fold_dyn_error": 0.017026487514376642,
11
+ "gate_closed": 0.03318878263235092,
12
+ "gate_spectral": 0.1518697440624237,
13
+ "gate_port": 0.6864572167396545,
14
+ "gate_fold": 0.005085432436317205,
15
+ "gate_dissipation": 0.005063395947217941,
16
+ "lead_1_rmse": 0.19382062554359436,
17
+ "lead_2_rmse": 0.19687627255916595,
18
+ "lead_3_rmse": 0.2008797824382782,
19
+ "lead_4_rmse": 0.2037615031003952,
20
+ "lead_5_rmse": 0.2067217230796814,
21
+ "lead_6_rmse": 0.21091046929359436,
22
+ "lead_7_rmse": 0.21736206114292145,
23
+ "lead_8_rmse": 0.22638316452503204,
24
+ "lead_1_mae": 0.14540588855743408,
25
+ "lead_2_mae": 0.14795874059200287,
26
+ "lead_3_mae": 0.1507158875465393,
27
+ "lead_4_mae": 0.15244336426258087,
28
+ "lead_5_mae": 0.1542433202266693,
29
+ "lead_6_mae": 0.15738314390182495,
30
+ "lead_7_mae": 0.16221170127391815,
31
+ "lead_8_mae": 0.16855871677398682,
32
+ "model": "sticm_v4_full",
33
+ "params": 539623,
34
+ "train_seconds": 28.008225202560425
35
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_full/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_full/train_log.json ADDED
@@ -0,0 +1,248 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_pred": 0.829055666923523,
5
+ "loss_total": 0.8526415228843689,
6
+ "loss_align": 0.25413814187049866,
7
+ "loss_energy": 0.17988640069961548,
8
+ "loss_reverse": 0.002236027270555496,
9
+ "loss_fold": 0.008842120878398418,
10
+ "loss_spectral": 0.04007716849446297,
11
+ "gate_cost": 0.496737003326416,
12
+ "rmse_mean": 1.4990051984786987,
13
+ "rmse_last": 1.8845317363739014,
14
+ "mae_mean": 0.9442815780639648,
15
+ "mae_last": 1.222888469696045,
16
+ "spectral_error": 0.04076935490593314,
17
+ "eval_seconds_per_batch": 0.03296218812465668,
18
+ "mean_energy_drift": 0.4237931799143553,
19
+ "mean_reverse_error": 0.0025210084568243474,
20
+ "mean_fold_dyn_error": 0.011257516918703914,
21
+ "gate_closed": 0.4905376136302948,
22
+ "gate_spectral": 0.4873923063278198,
23
+ "gate_port": 0.5278019905090332,
24
+ "gate_fold": 0.4995283782482147,
25
+ "gate_dissipation": 0.48015961050987244,
26
+ "lead_1_rmse": 1.0110595226287842,
27
+ "lead_2_rmse": 1.1563061475753784,
28
+ "lead_3_rmse": 1.3201030492782593,
29
+ "lead_4_rmse": 1.4752620458602905,
30
+ "lead_5_rmse": 1.6101155281066895,
31
+ "lead_6_rmse": 1.7221293449401855,
32
+ "lead_7_rmse": 1.8125348091125488,
33
+ "lead_8_rmse": 1.8845317363739014,
34
+ "lead_1_mae": 0.6113650798797607,
35
+ "lead_2_mae": 0.7034409046173096,
36
+ "lead_3_mae": 0.8135616183280945,
37
+ "lead_4_mae": 0.9206787347793579,
38
+ "lead_5_mae": 1.0166200399398804,
39
+ "lead_6_mae": 1.0987367630004883,
40
+ "lead_7_mae": 1.1669607162475586,
41
+ "lead_8_mae": 1.222888469696045
42
+ },
43
+ {
44
+ "step": 50,
45
+ "loss_pred": 0.07279130816459656,
46
+ "loss_total": 0.0787716954946518,
47
+ "loss_align": 0.03163983300328255,
48
+ "loss_energy": 0.05477320775389671,
49
+ "loss_reverse": 0.006975430529564619,
50
+ "loss_fold": 0.01984376646578312,
51
+ "loss_spectral": 0.006367355585098267,
52
+ "gate_cost": 0.22497348487377167,
53
+ "rmse_mean": 0.263599693775177,
54
+ "rmse_last": 0.2902602553367615,
55
+ "mae_mean": 0.18216601014137268,
56
+ "mae_last": 0.19733095169067383,
57
+ "spectral_error": 0.005742999055655673,
58
+ "eval_seconds_per_batch": 0.03113606572151184,
59
+ "mean_energy_drift": 0.05336080235429108,
60
+ "mean_reverse_error": 0.0067844081204384565,
61
+ "mean_fold_dyn_error": 0.0205031301593408,
62
+ "gate_closed": 0.13178403675556183,
63
+ "gate_spectral": 0.1398870348930359,
64
+ "gate_port": 0.6740386486053467,
65
+ "gate_fold": 0.067070871591568,
66
+ "gate_dissipation": 0.06775912642478943,
67
+ "lead_1_rmse": 0.24047885835170746,
68
+ "lead_2_rmse": 0.24498188495635986,
69
+ "lead_3_rmse": 0.25362643599510193,
70
+ "lead_4_rmse": 0.26095137000083923,
71
+ "lead_5_rmse": 0.2665081024169922,
72
+ "lead_6_rmse": 0.2722805142402649,
73
+ "lead_7_rmse": 0.2797100245952606,
74
+ "lead_8_rmse": 0.2902602553367615,
75
+ "lead_1_mae": 0.17408499121665955,
76
+ "lead_2_mae": 0.172599658370018,
77
+ "lead_3_mae": 0.17586000263690948,
78
+ "lead_4_mae": 0.17923468351364136,
79
+ "lead_5_mae": 0.1820744425058365,
80
+ "lead_6_mae": 0.1856108009815216,
81
+ "lead_7_mae": 0.1905326098203659,
82
+ "lead_8_mae": 0.19733095169067383
83
+ },
84
+ {
85
+ "step": 100,
86
+ "loss_pred": 0.04489890858530998,
87
+ "loss_total": 0.05054403096437454,
88
+ "loss_align": 0.033035777509212494,
89
+ "loss_energy": 0.04678551107645035,
90
+ "loss_reverse": 0.008821586146950722,
91
+ "loss_fold": 0.0253865048289299,
92
+ "loss_spectral": 0.004927501082420349,
93
+ "gate_cost": 0.1873217076063156,
94
+ "rmse_mean": 0.18847443163394928,
95
+ "rmse_last": 0.22449763119220734,
96
+ "mae_mean": 0.1256430596113205,
97
+ "mae_last": 0.1495191752910614,
98
+ "spectral_error": 0.003615916459239088,
99
+ "eval_seconds_per_batch": 0.031249910593032837,
100
+ "mean_energy_drift": 0.047016577678732574,
101
+ "mean_reverse_error": 0.009240265586413443,
102
+ "mean_fold_dyn_error": 0.026579083176329732,
103
+ "gate_closed": 0.06595910340547562,
104
+ "gate_spectral": 0.12894633412361145,
105
+ "gate_port": 0.6999245882034302,
106
+ "gate_fold": 0.014953390695154667,
107
+ "gate_dissipation": 0.01406070962548256,
108
+ "lead_1_rmse": 0.16144314408302307,
109
+ "lead_2_rmse": 0.16561251878738403,
110
+ "lead_3_rmse": 0.17347949743270874,
111
+ "lead_4_rmse": 0.18169856071472168,
112
+ "lead_5_rmse": 0.19011639058589935,
113
+ "lead_6_rmse": 0.1997409164905548,
114
+ "lead_7_rmse": 0.21120686829090118,
115
+ "lead_8_rmse": 0.22449763119220734,
116
+ "lead_1_mae": 0.10698278993368149,
117
+ "lead_2_mae": 0.10994935780763626,
118
+ "lead_3_mae": 0.11534466594457626,
119
+ "lead_4_mae": 0.12109853327274323,
120
+ "lead_5_mae": 0.12716087698936462,
121
+ "lead_6_mae": 0.13383522629737854,
122
+ "lead_7_mae": 0.14125385880470276,
123
+ "lead_8_mae": 0.1495191752910614
124
+ },
125
+ {
126
+ "step": 150,
127
+ "loss_pred": 0.04135754704475403,
128
+ "loss_total": 0.04603327810764313,
129
+ "loss_align": 0.02115638554096222,
130
+ "loss_energy": 0.039500463753938675,
131
+ "loss_reverse": 0.0073475828394293785,
132
+ "loss_fold": 0.018765978515148163,
133
+ "loss_spectral": 0.004555721301585436,
134
+ "gate_cost": 0.18901847302913666,
135
+ "rmse_mean": 0.1818026602268219,
136
+ "rmse_last": 0.2116052508354187,
137
+ "mae_mean": 0.1272173523902893,
138
+ "mae_last": 0.13866780698299408,
139
+ "spectral_error": 0.0031525116210104898,
140
+ "eval_seconds_per_batch": 0.03439377248287201,
141
+ "mean_energy_drift": 0.03710140543989837,
142
+ "mean_reverse_error": 0.007932570355478674,
143
+ "mean_fold_dyn_error": 0.020549231441691518,
144
+ "gate_closed": 0.06349743902683258,
145
+ "gate_spectral": 0.15879300236701965,
146
+ "gate_port": 0.6921806335449219,
147
+ "gate_fold": 0.014213358983397484,
148
+ "gate_dissipation": 0.013528451323509216,
149
+ "lead_1_rmse": 0.1574726402759552,
150
+ "lead_2_rmse": 0.16230875253677368,
151
+ "lead_3_rmse": 0.17015525698661804,
152
+ "lead_4_rmse": 0.17705869674682617,
153
+ "lead_5_rmse": 0.1837446242570877,
154
+ "lead_6_rmse": 0.19141721725463867,
155
+ "lead_7_rmse": 0.20065876841545105,
156
+ "lead_8_rmse": 0.2116052508354187,
157
+ "lead_1_mae": 0.11926445364952087,
158
+ "lead_2_mae": 0.12004169076681137,
159
+ "lead_3_mae": 0.12268596142530441,
160
+ "lead_4_mae": 0.12516026198863983,
161
+ "lead_5_mae": 0.1275346726179123,
162
+ "lead_6_mae": 0.13038790225982666,
163
+ "lead_7_mae": 0.13399605453014374,
164
+ "lead_8_mae": 0.13866780698299408
165
+ },
166
+ {
167
+ "step": 200,
168
+ "loss_pred": 0.03900022432208061,
169
+ "loss_total": 0.04241805896162987,
170
+ "loss_align": 0.013064883649349213,
171
+ "loss_energy": 0.026218529790639877,
172
+ "loss_reverse": 0.005182192195206881,
173
+ "loss_fold": 0.008352934382855892,
174
+ "loss_spectral": 0.0044712801463902,
175
+ "gate_cost": 0.1662418395280838,
176
+ "rmse_mean": 0.14606565237045288,
177
+ "rmse_last": 0.17179429531097412,
178
+ "mae_mean": 0.09259675443172455,
179
+ "mae_last": 0.10925116389989853,
180
+ "spectral_error": 0.0027655758676701225,
181
+ "eval_seconds_per_batch": 0.03236953914165497,
182
+ "mean_energy_drift": 0.02339858643244952,
183
+ "mean_reverse_error": 0.0051467063021846116,
184
+ "mean_fold_dyn_error": 0.009676396555732936,
185
+ "gate_closed": 0.04241585731506348,
186
+ "gate_spectral": 0.14586320519447327,
187
+ "gate_port": 0.6275248527526855,
188
+ "gate_fold": 0.00872656051069498,
189
+ "gate_dissipation": 0.007435860112309456,
190
+ "lead_1_rmse": 0.11211258172988892,
191
+ "lead_2_rmse": 0.12137213349342346,
192
+ "lead_3_rmse": 0.13687504827976227,
193
+ "lead_4_rmse": 0.14777228236198425,
194
+ "lead_5_rmse": 0.15444768965244293,
195
+ "lead_6_rmse": 0.15944449603557587,
196
+ "lead_7_rmse": 0.16470669209957123,
197
+ "lead_8_rmse": 0.17179429531097412,
198
+ "lead_1_mae": 0.07295796275138855,
199
+ "lead_2_mae": 0.07715287804603577,
200
+ "lead_3_mae": 0.08571399003267288,
201
+ "lead_4_mae": 0.0925280973315239,
202
+ "lead_5_mae": 0.09731875360012054,
203
+ "lead_6_mae": 0.10107661038637161,
204
+ "lead_7_mae": 0.10477453470230103,
205
+ "lead_8_mae": 0.10925116389989853
206
+ },
207
+ {
208
+ "step": 250,
209
+ "loss_pred": 0.05250943452119827,
210
+ "loss_total": 0.05744374543428421,
211
+ "loss_align": 0.02939758263528347,
212
+ "loss_energy": 0.0427815318107605,
213
+ "loss_reverse": 0.007597825489938259,
214
+ "loss_fold": 0.015210671350359917,
215
+ "loss_spectral": 0.004093451425433159,
216
+ "gate_cost": 0.1795845925807953,
217
+ "rmse_mean": 0.21474261581897736,
218
+ "rmse_last": 0.2331085354089737,
219
+ "mae_mean": 0.16033658385276794,
220
+ "mae_last": 0.17382672429084778,
221
+ "spectral_error": 0.003450314005021937,
222
+ "eval_seconds_per_batch": 0.03195007145404816,
223
+ "mean_energy_drift": 0.07454719045199454,
224
+ "mean_reverse_error": 0.008642082539154217,
225
+ "mean_fold_dyn_error": 0.017221053305547684,
226
+ "gate_closed": 0.0353301540017128,
227
+ "gate_spectral": 0.15662449598312378,
228
+ "gate_port": 0.6822836995124817,
229
+ "gate_fold": 0.0055905552580952644,
230
+ "gate_dissipation": 0.005568226799368858,
231
+ "lead_1_rmse": 0.20058195292949677,
232
+ "lead_2_rmse": 0.204542338848114,
233
+ "lead_3_rmse": 0.208987757563591,
234
+ "lead_4_rmse": 0.21211807429790497,
235
+ "lead_5_rmse": 0.21499003469944,
236
+ "lead_6_rmse": 0.2188074141740799,
237
+ "lead_7_rmse": 0.22480477392673492,
238
+ "lead_8_rmse": 0.2331085354089737,
239
+ "lead_1_mae": 0.14979159832000732,
240
+ "lead_2_mae": 0.15285801887512207,
241
+ "lead_3_mae": 0.15604059398174286,
242
+ "lead_4_mae": 0.15828284621238708,
243
+ "lead_5_mae": 0.16041311621665955,
244
+ "lead_6_mae": 0.16348356008529663,
245
+ "lead_7_mae": 0.16799621284008026,
246
+ "lead_8_mae": 0.17382672429084778
247
+ }
248
+ ]
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_dissipation/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88ce2cae9d25eadf5c78b3f1950cf32dd9ecd3fbc3e0dda4fb4d2bf9ac436b66
3
+ size 2715573
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_dissipation/metrics.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.10821138322353363,
3
+ "rmse_last": 0.1281086653470993,
4
+ "mae_mean": 0.07004961371421814,
5
+ "mae_last": 0.0827348455786705,
6
+ "spectral_error": 0.001584798840340227,
7
+ "eval_seconds_per_batch": 0.03587088584899902,
8
+ "mean_energy_drift": 0.007889563748613,
9
+ "mean_reverse_error": 0.0027266217581927775,
10
+ "mean_fold_dyn_error": 0.005700550880283118,
11
+ "gate_closed": 0.0236456710845232,
12
+ "gate_spectral": 0.19776134192943573,
13
+ "gate_port": 0.5505784749984741,
14
+ "gate_fold": 0.003389535238966346,
15
+ "gate_dissipation": 0.0,
16
+ "lead_1_rmse": 0.08832062780857086,
17
+ "lead_2_rmse": 0.0912938192486763,
18
+ "lead_3_rmse": 0.10127203166484833,
19
+ "lead_4_rmse": 0.1080046072602272,
20
+ "lead_5_rmse": 0.11229066550731659,
21
+ "lead_6_rmse": 0.11589187383651733,
22
+ "lead_7_rmse": 0.12050876766443253,
23
+ "lead_8_rmse": 0.1281086653470993,
24
+ "lead_1_mae": 0.059347666800022125,
25
+ "lead_2_mae": 0.05931365489959717,
26
+ "lead_3_mae": 0.06490721553564072,
27
+ "lead_4_mae": 0.06931961327791214,
28
+ "lead_5_mae": 0.07228973507881165,
29
+ "lead_6_mae": 0.07472115755081177,
30
+ "lead_7_mae": 0.07776301354169846,
31
+ "lead_8_mae": 0.0827348455786705,
32
+ "model": "sticm_v4_no_dissipation",
33
+ "params": 539623,
34
+ "train_seconds": 27.75553584098816
35
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_no_dissipation/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_dissipation/train_log.json ADDED
@@ -0,0 +1,248 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_pred": 0.9388759732246399,
5
+ "loss_total": 0.9621642827987671,
6
+ "loss_align": 0.2629551887512207,
7
+ "loss_energy": 0.14520160853862762,
8
+ "loss_reverse": 0.002281897235661745,
9
+ "loss_fold": 0.008782140910625458,
10
+ "loss_spectral": 0.05729839205741882,
11
+ "gate_cost": 0.406245619058609,
12
+ "rmse_mean": 1.2575409412384033,
13
+ "rmse_last": 1.5799251794815063,
14
+ "mae_mean": 0.8489173650741577,
15
+ "mae_last": 1.099412202835083,
16
+ "spectral_error": 0.028835970209911466,
17
+ "eval_seconds_per_batch": 0.031092971563339233,
18
+ "mean_energy_drift": 0.2774732429534197,
19
+ "mean_reverse_error": 0.002209747224696912,
20
+ "mean_fold_dyn_error": 0.008050388074479997,
21
+ "gate_closed": 0.5000816583633423,
22
+ "gate_spectral": 0.4726874828338623,
23
+ "gate_port": 0.4890322983264923,
24
+ "gate_fold": 0.5128442645072937,
25
+ "gate_dissipation": 0.0,
26
+ "lead_1_rmse": 0.8462168574333191,
27
+ "lead_2_rmse": 0.9673027992248535,
28
+ "lead_3_rmse": 1.1066123247146606,
29
+ "lead_4_rmse": 1.2386605739593506,
30
+ "lead_5_rmse": 1.3529324531555176,
31
+ "lead_6_rmse": 1.446961522102356,
32
+ "lead_7_rmse": 1.5217158794403076,
33
+ "lead_8_rmse": 1.5799251794815063,
34
+ "lead_1_mae": 0.5609776973724365,
35
+ "lead_2_mae": 0.6319472193717957,
36
+ "lead_3_mae": 0.7281999588012695,
37
+ "lead_4_mae": 0.8243604302406311,
38
+ "lead_5_mae": 0.9114132523536682,
39
+ "lead_6_mae": 0.986350417137146,
40
+ "lead_7_mae": 1.0486778020858765,
41
+ "lead_8_mae": 1.099412202835083
42
+ },
43
+ {
44
+ "step": 50,
45
+ "loss_pred": 0.048693351447582245,
46
+ "loss_total": 0.054693542420864105,
47
+ "loss_align": 0.02122773602604866,
48
+ "loss_energy": 0.04539358988404274,
49
+ "loss_reverse": 0.006307777017354965,
50
+ "loss_fold": 0.02030477672815323,
51
+ "loss_spectral": 0.005213756114244461,
52
+ "gate_cost": 0.30349424481391907,
53
+ "rmse_mean": 0.2211180329322815,
54
+ "rmse_last": 0.2538521885871887,
55
+ "mae_mean": 0.15630020201206207,
56
+ "mae_last": 0.17806746065616608,
57
+ "spectral_error": 0.004490335355512798,
58
+ "eval_seconds_per_batch": 0.03155112266540527,
59
+ "mean_energy_drift": 0.03929893660824746,
60
+ "mean_reverse_error": 0.006462419958552346,
61
+ "mean_fold_dyn_error": 0.020605434430763125,
62
+ "gate_closed": 0.4159807562828064,
63
+ "gate_spectral": 0.24556635320186615,
64
+ "gate_port": 0.6058524250984192,
65
+ "gate_fold": 0.2339266836643219,
66
+ "gate_dissipation": 0.0,
67
+ "lead_1_rmse": 0.1897820383310318,
68
+ "lead_2_rmse": 0.19921544194221497,
69
+ "lead_3_rmse": 0.2098507285118103,
70
+ "lead_4_rmse": 0.21782399713993073,
71
+ "lead_5_rmse": 0.22444505989551544,
72
+ "lead_6_rmse": 0.23210099339485168,
73
+ "lead_7_rmse": 0.2418738305568695,
74
+ "lead_8_rmse": 0.2538521885871887,
75
+ "lead_1_mae": 0.1343514323234558,
76
+ "lead_2_mae": 0.13977684080600739,
77
+ "lead_3_mae": 0.1474027931690216,
78
+ "lead_4_mae": 0.15411685407161713,
79
+ "lead_5_mae": 0.15988044440746307,
80
+ "lead_6_mae": 0.16545234620571136,
81
+ "lead_7_mae": 0.17135347425937653,
82
+ "lead_8_mae": 0.17806746065616608
83
+ },
84
+ {
85
+ "step": 100,
86
+ "loss_pred": 0.060202792286872864,
87
+ "loss_total": 0.06497962027788162,
88
+ "loss_align": 0.023342372849583626,
89
+ "loss_energy": 0.03152809292078018,
90
+ "loss_reverse": 0.005679154768586159,
91
+ "loss_fold": 0.016908932477235794,
92
+ "loss_spectral": 0.006098322570323944,
93
+ "gate_cost": 0.20533767342567444,
94
+ "rmse_mean": 0.24912676215171814,
95
+ "rmse_last": 0.276131272315979,
96
+ "mae_mean": 0.16248378157615662,
97
+ "mae_last": 0.17864865064620972,
98
+ "spectral_error": 0.005198741055210121,
99
+ "eval_seconds_per_batch": 0.03170216083526611,
100
+ "mean_energy_drift": 0.034187491808552295,
101
+ "mean_reverse_error": 0.006245283759199083,
102
+ "mean_fold_dyn_error": 0.018768321140669286,
103
+ "gate_closed": 0.16399045288562775,
104
+ "gate_spectral": 0.21305547654628754,
105
+ "gate_port": 0.5969225764274597,
106
+ "gate_fold": 0.03851141408085823,
107
+ "gate_dissipation": 0.0,
108
+ "lead_1_rmse": 0.22142717242240906,
109
+ "lead_2_rmse": 0.2276414930820465,
110
+ "lead_3_rmse": 0.2377261221408844,
111
+ "lead_4_rmse": 0.24644845724105835,
112
+ "lead_5_rmse": 0.25392410159111023,
113
+ "lead_6_rmse": 0.2612038254737854,
114
+ "lead_7_rmse": 0.2685116231441498,
115
+ "lead_8_rmse": 0.276131272315979,
116
+ "lead_1_mae": 0.15007811784744263,
117
+ "lead_2_mae": 0.1507759988307953,
118
+ "lead_3_mae": 0.15436939895153046,
119
+ "lead_4_mae": 0.15905487537384033,
120
+ "lead_5_mae": 0.1640463024377823,
121
+ "lead_6_mae": 0.16905684769153595,
122
+ "lead_7_mae": 0.17384004592895508,
123
+ "lead_8_mae": 0.17864865064620972
124
+ },
125
+ {
126
+ "step": 150,
127
+ "loss_pred": 0.04879309982061386,
128
+ "loss_total": 0.05313606187701225,
129
+ "loss_align": 0.01800348237156868,
130
+ "loss_energy": 0.034420937299728394,
131
+ "loss_reverse": 0.0063122413121163845,
132
+ "loss_fold": 0.018256502225995064,
133
+ "loss_spectral": 0.004528900142759085,
134
+ "gate_cost": 0.18539802730083466,
135
+ "rmse_mean": 0.16319900751113892,
136
+ "rmse_last": 0.19988280534744263,
137
+ "mae_mean": 0.1089504063129425,
138
+ "mae_last": 0.1331758201122284,
139
+ "spectral_error": 0.0030179225432220846,
140
+ "eval_seconds_per_batch": 0.03852471709251404,
141
+ "mean_energy_drift": 0.026209463307168335,
142
+ "mean_reverse_error": 0.00595656075165607,
143
+ "mean_fold_dyn_error": 0.016854319372214377,
144
+ "gate_closed": 0.08667358011007309,
145
+ "gate_spectral": 0.22201798856258392,
146
+ "gate_port": 0.6082437634468079,
147
+ "gate_fold": 0.01562594808638096,
148
+ "gate_dissipation": 0.0,
149
+ "lead_1_rmse": 0.13515976071357727,
150
+ "lead_2_rmse": 0.13844618201255798,
151
+ "lead_3_rmse": 0.14684349298477173,
152
+ "lead_4_rmse": 0.15567536652088165,
153
+ "lead_5_rmse": 0.16537845134735107,
154
+ "lead_6_rmse": 0.1762504279613495,
155
+ "lead_7_rmse": 0.18795561790466309,
156
+ "lead_8_rmse": 0.19988280534744263,
157
+ "lead_1_mae": 0.09212122857570648,
158
+ "lead_2_mae": 0.09289045631885529,
159
+ "lead_3_mae": 0.09776544570922852,
160
+ "lead_4_mae": 0.10350753366947174,
161
+ "lead_5_mae": 0.1098855584859848,
162
+ "lead_6_mae": 0.11721546202898026,
163
+ "lead_7_mae": 0.12504173815250397,
164
+ "lead_8_mae": 0.1331758201122284
165
+ },
166
+ {
167
+ "step": 200,
168
+ "loss_pred": 0.021196436136960983,
169
+ "loss_total": 0.024156250059604645,
170
+ "loss_align": 0.011735741049051285,
171
+ "loss_energy": 0.013097112998366356,
172
+ "loss_reverse": 0.0035860284697264433,
173
+ "loss_fold": 0.008905250579118729,
174
+ "loss_spectral": 0.0026782462373375893,
175
+ "gate_cost": 0.1638292521238327,
176
+ "rmse_mean": 0.16044652462005615,
177
+ "rmse_last": 0.18422158062458038,
178
+ "mae_mean": 0.10722632706165314,
179
+ "mae_last": 0.12361928820610046,
180
+ "spectral_error": 0.0029252862732391804,
181
+ "eval_seconds_per_batch": 0.03166358172893524,
182
+ "mean_energy_drift": 0.014898512017680332,
183
+ "mean_reverse_error": 0.0036230968398740515,
184
+ "mean_fold_dyn_error": 0.009373485401738435,
185
+ "gate_closed": 0.03923555836081505,
186
+ "gate_spectral": 0.2021351456642151,
187
+ "gate_port": 0.5740552544593811,
188
+ "gate_fold": 0.005833245348185301,
189
+ "gate_dissipation": 0.0,
190
+ "lead_1_rmse": 0.13794417679309845,
191
+ "lead_2_rmse": 0.1421041339635849,
192
+ "lead_3_rmse": 0.1505899280309677,
193
+ "lead_4_rmse": 0.15765026211738586,
194
+ "lead_5_rmse": 0.16392068564891815,
195
+ "lead_6_rmse": 0.17030274868011475,
196
+ "lead_7_rmse": 0.1768387407064438,
197
+ "lead_8_rmse": 0.18422158062458038,
198
+ "lead_1_mae": 0.09407419711351395,
199
+ "lead_2_mae": 0.09557276964187622,
200
+ "lead_3_mae": 0.09983166307210922,
201
+ "lead_4_mae": 0.10435882210731506,
202
+ "lead_5_mae": 0.10889352858066559,
203
+ "lead_6_mae": 0.11337167024612427,
204
+ "lead_7_mae": 0.11808870732784271,
205
+ "lead_8_mae": 0.12361928820610046
206
+ },
207
+ {
208
+ "step": 250,
209
+ "loss_pred": 0.01763342320919037,
210
+ "loss_total": 0.02016957476735115,
211
+ "loss_align": 0.009260397404432297,
212
+ "loss_energy": 0.008968517184257507,
213
+ "loss_reverse": 0.002826028736308217,
214
+ "loss_fold": 0.005993666592985392,
215
+ "loss_spectral": 0.0020104139111936092,
216
+ "gate_cost": 0.15569095313549042,
217
+ "rmse_mean": 0.10951487720012665,
218
+ "rmse_last": 0.13168583810329437,
219
+ "mae_mean": 0.07036300748586655,
220
+ "mae_last": 0.08477061986923218,
221
+ "spectral_error": 0.0016277646354865283,
222
+ "eval_seconds_per_batch": 0.031582802534103394,
223
+ "mean_energy_drift": 0.008496916445437819,
224
+ "mean_reverse_error": 0.002712019646423869,
225
+ "mean_fold_dyn_error": 0.005706993688363582,
226
+ "gate_closed": 0.024765245616436005,
227
+ "gate_spectral": 0.2007686048746109,
228
+ "gate_port": 0.5466524362564087,
229
+ "gate_fold": 0.003675272921100259,
230
+ "gate_dissipation": 0.0,
231
+ "lead_1_rmse": 0.08829151839017868,
232
+ "lead_2_rmse": 0.0914812907576561,
233
+ "lead_3_rmse": 0.1015351265668869,
234
+ "lead_4_rmse": 0.10861928761005402,
235
+ "lead_5_rmse": 0.11351341009140015,
236
+ "lead_6_rmse": 0.11778947710990906,
237
+ "lead_7_rmse": 0.12320306897163391,
238
+ "lead_8_rmse": 0.13168583810329437,
239
+ "lead_1_mae": 0.05867087468504906,
240
+ "lead_2_mae": 0.05873347073793411,
241
+ "lead_3_mae": 0.06435529887676239,
242
+ "lead_4_mae": 0.06905454397201538,
243
+ "lead_5_mae": 0.07251423597335815,
244
+ "lead_6_mae": 0.07553838193416595,
245
+ "lead_7_mae": 0.07926663756370544,
246
+ "lead_8_mae": 0.08477061986923218
247
+ }
248
+ ]
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_folding/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca84360f2fc0a4e7ddbe4d979d31cd61abf7e99b327360a45fc0a242d48e03c5
3
+ size 2715573
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_folding/metrics.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.1534731388092041,
3
+ "rmse_last": 0.17597591876983643,
4
+ "mae_mean": 0.11371025443077087,
5
+ "mae_last": 0.13105058670043945,
6
+ "spectral_error": 0.002497290424071252,
7
+ "eval_seconds_per_batch": 0.03012310028076172,
8
+ "mean_energy_drift": 0.02826412856578827,
9
+ "mean_reverse_error": 0.005690871495753527,
10
+ "mean_fold_dyn_error": 0.021068671494722368,
11
+ "gate_closed": 0.07522192597389221,
12
+ "gate_spectral": 0.21121680736541748,
13
+ "gate_port": 0.599591851234436,
14
+ "gate_fold": 0.0,
15
+ "gate_dissipation": 0.006906813941895962,
16
+ "lead_1_rmse": 0.13078024983406067,
17
+ "lead_2_rmse": 0.13856613636016846,
18
+ "lead_3_rmse": 0.1473299264907837,
19
+ "lead_4_rmse": 0.1521526277065277,
20
+ "lead_5_rmse": 0.1557113230228424,
21
+ "lead_6_rmse": 0.16028961539268494,
22
+ "lead_7_rmse": 0.1669793277978897,
23
+ "lead_8_rmse": 0.17597591876983643,
24
+ "lead_1_mae": 0.0970180332660675,
25
+ "lead_2_mae": 0.1014472022652626,
26
+ "lead_3_mae": 0.10746781527996063,
27
+ "lead_4_mae": 0.11191602796316147,
28
+ "lead_5_mae": 0.11573798954486847,
29
+ "lead_6_mae": 0.11997894197702408,
30
+ "lead_7_mae": 0.125065416097641,
31
+ "lead_8_mae": 0.13105058670043945,
32
+ "model": "sticm_v4_no_folding",
33
+ "params": 539623,
34
+ "train_seconds": 27.752861738204956
35
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_no_folding/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_folding/train_log.json ADDED
@@ -0,0 +1,248 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_pred": 1.4477317333221436,
5
+ "loss_total": 1.4686473608016968,
6
+ "loss_align": 0.24474754929542542,
7
+ "loss_energy": 0.1342329978942871,
8
+ "loss_reverse": 0.0025020509492605925,
9
+ "loss_fold": 0.0,
10
+ "loss_spectral": 0.039189521223306656,
11
+ "gate_cost": 0.39840126037597656,
12
+ "rmse_mean": 0.9462597370147705,
13
+ "rmse_last": 1.193867564201355,
14
+ "mae_mean": 0.819394588470459,
15
+ "mae_last": 1.0004982948303223,
16
+ "spectral_error": 0.0221127190743573,
17
+ "eval_seconds_per_batch": 0.03425997495651245,
18
+ "mean_energy_drift": 0.19232511334121227,
19
+ "mean_reverse_error": 0.0023452837340300903,
20
+ "mean_fold_dyn_error": 0.009937940107192844,
21
+ "gate_closed": 0.501600444316864,
22
+ "gate_spectral": 0.4558100998401642,
23
+ "gate_port": 0.5048128366470337,
24
+ "gate_fold": 0.0,
25
+ "gate_dissipation": 0.5125475525856018,
26
+ "lead_1_rmse": 0.6462743282318115,
27
+ "lead_2_rmse": 0.7313116192817688,
28
+ "lead_3_rmse": 0.8298301100730896,
29
+ "lead_4_rmse": 0.9259499311447144,
30
+ "lead_5_rmse": 1.0120398998260498,
31
+ "lead_6_rmse": 1.0853266716003418,
32
+ "lead_7_rmse": 1.1454776525497437,
33
+ "lead_8_rmse": 1.193867564201355,
34
+ "lead_1_mae": 0.5913680195808411,
35
+ "lead_2_mae": 0.6593229174613953,
36
+ "lead_3_mae": 0.7355691194534302,
37
+ "lead_4_mae": 0.8075194358825684,
38
+ "lead_5_mae": 0.8707554340362549,
39
+ "lead_6_mae": 0.9236432313919067,
40
+ "lead_7_mae": 0.9664801359176636,
41
+ "lead_8_mae": 1.0004982948303223
42
+ },
43
+ {
44
+ "step": 50,
45
+ "loss_pred": 0.041236069053411484,
46
+ "loss_total": 0.04762426018714905,
47
+ "loss_align": 0.02930176444351673,
48
+ "loss_energy": 0.06689544022083282,
49
+ "loss_reverse": 0.010509451851248741,
50
+ "loss_fold": 0.0,
51
+ "loss_spectral": 0.004377557896077633,
52
+ "gate_cost": 0.3156124949455261,
53
+ "rmse_mean": 0.21459752321243286,
54
+ "rmse_last": 0.24593201279640198,
55
+ "mae_mean": 0.14737990498542786,
56
+ "mae_last": 0.1654101461172104,
57
+ "spectral_error": 0.0041154714417643845,
58
+ "eval_seconds_per_batch": 0.031033262610435486,
59
+ "mean_energy_drift": 0.06696241931058466,
60
+ "mean_reverse_error": 0.009692007733974606,
61
+ "mean_fold_dyn_error": 0.03627944877371192,
62
+ "gate_closed": 0.4171385169029236,
63
+ "gate_spectral": 0.28939804434776306,
64
+ "gate_port": 0.6642565131187439,
65
+ "gate_fold": 0.0,
66
+ "gate_dissipation": 0.18039275705814362,
67
+ "lead_1_rmse": 0.19221632182598114,
68
+ "lead_2_rmse": 0.19481243193149567,
69
+ "lead_3_rmse": 0.2016305774450302,
70
+ "lead_4_rmse": 0.2086726725101471,
71
+ "lead_5_rmse": 0.21576550602912903,
72
+ "lead_6_rmse": 0.22381927073001862,
73
+ "lead_7_rmse": 0.23393142223358154,
74
+ "lead_8_rmse": 0.24593201279640198,
75
+ "lead_1_mae": 0.13628625869750977,
76
+ "lead_2_mae": 0.1356714516878128,
77
+ "lead_3_mae": 0.13882333040237427,
78
+ "lead_4_mae": 0.14306943118572235,
79
+ "lead_5_mae": 0.1478225141763687,
80
+ "lead_6_mae": 0.15303081274032593,
81
+ "lead_7_mae": 0.1589253693819046,
82
+ "lead_8_mae": 0.1654101461172104
83
+ },
84
+ {
85
+ "step": 100,
86
+ "loss_pred": 0.030743904411792755,
87
+ "loss_total": 0.03517214208841324,
88
+ "loss_align": 0.02152455598115921,
89
+ "loss_energy": 0.04472195357084274,
90
+ "loss_reverse": 0.007610111031681299,
91
+ "loss_fold": 0.0,
92
+ "loss_spectral": 0.00308645935729146,
93
+ "gate_cost": 0.2151046246290207,
94
+ "rmse_mean": 0.1646435409784317,
95
+ "rmse_last": 0.19963783025741577,
96
+ "mae_mean": 0.10816305875778198,
97
+ "mae_last": 0.13248097896575928,
98
+ "spectral_error": 0.0030243471410358325,
99
+ "eval_seconds_per_batch": 0.037331148982048035,
100
+ "mean_energy_drift": 0.0457801113370806,
101
+ "mean_reverse_error": 0.007529267284553498,
102
+ "mean_fold_dyn_error": 0.027875919709913433,
103
+ "gate_closed": 0.22251906991004944,
104
+ "gate_spectral": 0.19864089787006378,
105
+ "gate_port": 0.6290501952171326,
106
+ "gate_fold": 0.0,
107
+ "gate_dissipation": 0.02392706833779812,
108
+ "lead_1_rmse": 0.13123787939548492,
109
+ "lead_2_rmse": 0.14130988717079163,
110
+ "lead_3_rmse": 0.15256713330745697,
111
+ "lead_4_rmse": 0.1606827825307846,
112
+ "lead_5_rmse": 0.16786682605743408,
113
+ "lead_6_rmse": 0.1766209900379181,
114
+ "lead_7_rmse": 0.18722501397132874,
115
+ "lead_8_rmse": 0.19963783025741577,
116
+ "lead_1_mae": 0.08539668470621109,
117
+ "lead_2_mae": 0.09096858650445938,
118
+ "lead_3_mae": 0.09861361235380173,
119
+ "lead_4_mae": 0.10491558164358139,
120
+ "lead_5_mae": 0.11083091050386429,
121
+ "lead_6_mae": 0.11745001375675201,
122
+ "lead_7_mae": 0.1246480867266655,
123
+ "lead_8_mae": 0.13248097896575928
124
+ },
125
+ {
126
+ "step": 150,
127
+ "loss_pred": 0.04763870686292648,
128
+ "loss_total": 0.05104214325547218,
129
+ "loss_align": 0.013976081274449825,
130
+ "loss_energy": 0.023219671100378036,
131
+ "loss_reverse": 0.006371818482875824,
132
+ "loss_fold": 0.0,
133
+ "loss_spectral": 0.004007847048342228,
134
+ "gate_cost": 0.19124113023281097,
135
+ "rmse_mean": 0.22177600860595703,
136
+ "rmse_last": 0.23025494813919067,
137
+ "mae_mean": 0.15569207072257996,
138
+ "mae_last": 0.1602163463830948,
139
+ "spectral_error": 0.0035556394286686555,
140
+ "eval_seconds_per_batch": 0.03204505145549774,
141
+ "mean_energy_drift": 0.037910689774435014,
142
+ "mean_reverse_error": 0.005904719902900979,
143
+ "mean_fold_dyn_error": 0.022014234331436455,
144
+ "gate_closed": 0.14066290855407715,
145
+ "gate_spectral": 0.2017272412776947,
146
+ "gate_port": 0.5981637239456177,
147
+ "gate_fold": 0.0,
148
+ "gate_dissipation": 0.013090522028505802,
149
+ "lead_1_rmse": 0.18952837586402893,
150
+ "lead_2_rmse": 0.20362955331802368,
151
+ "lead_3_rmse": 0.22020626068115234,
152
+ "lead_4_rmse": 0.23022250831127167,
153
+ "lead_5_rmse": 0.23399607837200165,
154
+ "lead_6_rmse": 0.23408128321170807,
155
+ "lead_7_rmse": 0.23228906095027924,
156
+ "lead_8_rmse": 0.23025494813919067,
157
+ "lead_1_mae": 0.1392686814069748,
158
+ "lead_2_mae": 0.14476430416107178,
159
+ "lead_3_mae": 0.1533813327550888,
160
+ "lead_4_mae": 0.15964676439762115,
161
+ "lead_5_mae": 0.16278395056724548,
162
+ "lead_6_mae": 0.16334128379821777,
163
+ "lead_7_mae": 0.16213390231132507,
164
+ "lead_8_mae": 0.1602163463830948
165
+ },
166
+ {
167
+ "step": 200,
168
+ "loss_pred": 0.01931728422641754,
169
+ "loss_total": 0.02215907722711563,
170
+ "loss_align": 0.012127039954066277,
171
+ "loss_energy": 0.018389619886875153,
172
+ "loss_reverse": 0.004273000173270702,
173
+ "loss_fold": 0.0,
174
+ "loss_spectral": 0.0023621260188519955,
175
+ "gate_cost": 0.16640816628932953,
176
+ "rmse_mean": 0.15195006132125854,
177
+ "rmse_last": 0.17685794830322266,
178
+ "mae_mean": 0.10618801414966583,
179
+ "mae_last": 0.12050295621156693,
180
+ "spectral_error": 0.00328278896631673,
181
+ "eval_seconds_per_batch": 0.031276553869247437,
182
+ "mean_energy_drift": 0.016587985621299595,
183
+ "mean_reverse_error": 0.003781305902521126,
184
+ "mean_fold_dyn_error": 0.014184690546244383,
185
+ "gate_closed": 0.07510949671268463,
186
+ "gate_spectral": 0.17524594068527222,
187
+ "gate_port": 0.5783434510231018,
188
+ "gate_fold": 0.0,
189
+ "gate_dissipation": 0.004247694276273251,
190
+ "lead_1_rmse": 0.13106532394886017,
191
+ "lead_2_rmse": 0.1340949386358261,
192
+ "lead_3_rmse": 0.14275048673152924,
193
+ "lead_4_rmse": 0.1490950882434845,
194
+ "lead_5_rmse": 0.1542103886604309,
195
+ "lead_6_rmse": 0.1600468009710312,
196
+ "lead_7_rmse": 0.16747942566871643,
197
+ "lead_8_rmse": 0.17685794830322266,
198
+ "lead_1_mae": 0.0943114310503006,
199
+ "lead_2_mae": 0.09562132507562637,
200
+ "lead_3_mae": 0.10041909664869308,
201
+ "lead_4_mae": 0.10439781844615936,
202
+ "lead_5_mae": 0.1076686829328537,
203
+ "lead_6_mae": 0.1112046167254448,
204
+ "lead_7_mae": 0.11537821590900421,
205
+ "lead_8_mae": 0.12050295621156693
206
+ },
207
+ {
208
+ "step": 250,
209
+ "loss_pred": 0.03248574584722519,
210
+ "loss_total": 0.03684825077652931,
211
+ "loss_align": 0.022002562880516052,
212
+ "loss_energy": 0.06118558719754219,
213
+ "loss_reverse": 0.006873034872114658,
214
+ "loss_fold": 0.0,
215
+ "loss_spectral": 0.0033204518258571625,
216
+ "gate_cost": 0.17351853847503662,
217
+ "rmse_mean": 0.15517902374267578,
218
+ "rmse_last": 0.1787836104631424,
219
+ "mae_mean": 0.11529378592967987,
220
+ "mae_last": 0.13386589288711548,
221
+ "spectral_error": 0.002599743842438329,
222
+ "eval_seconds_per_batch": 0.03156408667564392,
223
+ "mean_energy_drift": 0.03153487714007497,
224
+ "mean_reverse_error": 0.005719994485843927,
225
+ "mean_fold_dyn_error": 0.02129100973252207,
226
+ "gate_closed": 0.0777432769536972,
227
+ "gate_spectral": 0.21458673477172852,
228
+ "gate_port": 0.5965808033943176,
229
+ "gate_fold": 0.0,
230
+ "gate_dissipation": 0.007559154182672501,
231
+ "lead_1_rmse": 0.13116830587387085,
232
+ "lead_2_rmse": 0.13947026431560516,
233
+ "lead_3_rmse": 0.14848986268043518,
234
+ "lead_4_rmse": 0.1537128984928131,
235
+ "lead_5_rmse": 0.15772105753421783,
236
+ "lead_6_rmse": 0.16259370744228363,
237
+ "lead_7_rmse": 0.16949248313903809,
238
+ "lead_8_rmse": 0.1787836104631424,
239
+ "lead_1_mae": 0.09727229923009872,
240
+ "lead_2_mae": 0.10208230465650558,
241
+ "lead_3_mae": 0.10841383039951324,
242
+ "lead_4_mae": 0.11330948770046234,
243
+ "lead_5_mae": 0.11763028800487518,
244
+ "lead_6_mae": 0.12221971154212952,
245
+ "lead_7_mae": 0.12755648791790009,
246
+ "lead_8_mae": 0.13386589288711548
247
+ }
248
+ ]
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_gates/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ac92ce2676c2ce8f19de0573aac2ebccb684dd30c5532b0c690746c813911de
3
+ size 2715573
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_gates/metrics.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.14133065938949585,
3
+ "rmse_last": 0.1627718210220337,
4
+ "mae_mean": 0.10256370902061462,
5
+ "mae_last": 0.11664406955242157,
6
+ "spectral_error": 0.002646743725053966,
7
+ "eval_seconds_per_batch": 0.030197038650512695,
8
+ "mean_energy_drift": 0.022633572481572627,
9
+ "mean_reverse_error": 0.017363742589950562,
10
+ "mean_fold_dyn_error": 0.021173742339015006,
11
+ "gate_closed": 1.0,
12
+ "gate_spectral": 1.0,
13
+ "gate_port": 1.0,
14
+ "gate_fold": 1.0,
15
+ "gate_dissipation": 1.0,
16
+ "lead_1_rmse": 0.10973463207483292,
17
+ "lead_2_rmse": 0.12436021119356155,
18
+ "lead_3_rmse": 0.13632972538471222,
19
+ "lead_4_rmse": 0.1423390805721283,
20
+ "lead_5_rmse": 0.14687089622020721,
21
+ "lead_6_rmse": 0.1516057699918747,
22
+ "lead_7_rmse": 0.15663301944732666,
23
+ "lead_8_rmse": 0.1627718210220337,
24
+ "lead_1_mae": 0.0817311480641365,
25
+ "lead_2_mae": 0.09034818410873413,
26
+ "lead_3_mae": 0.09846962988376617,
27
+ "lead_4_mae": 0.10354934632778168,
28
+ "lead_5_mae": 0.10698425024747849,
29
+ "lead_6_mae": 0.10989261418581009,
30
+ "lead_7_mae": 0.11289040744304657,
31
+ "lead_8_mae": 0.11664406955242157,
32
+ "model": "sticm_v4_no_gates",
33
+ "params": 539623,
34
+ "train_seconds": 27.096070766448975
35
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_no_gates/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_gates/train_log.json ADDED
@@ -0,0 +1,248 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_pred": 2.4201855659484863,
5
+ "loss_total": 2.46280574798584,
6
+ "loss_align": 0.3877919316291809,
7
+ "loss_energy": 0.5294049978256226,
8
+ "loss_reverse": 0.010678967460989952,
9
+ "loss_fold": 0.040716998279094696,
10
+ "loss_spectral": 0.02414640411734581,
11
+ "gate_cost": 1.0,
12
+ "rmse_mean": 0.8319321274757385,
13
+ "rmse_last": 1.0396322011947632,
14
+ "mae_mean": 0.7121423482894897,
15
+ "mae_last": 0.8687748908996582,
16
+ "spectral_error": 0.021209832397289574,
17
+ "eval_seconds_per_batch": 0.031164586544036865,
18
+ "mean_energy_drift": 1.389694057404995,
19
+ "mean_reverse_error": 0.011220807675272226,
20
+ "mean_fold_dyn_error": 0.04903607349842787,
21
+ "gate_closed": 1.0,
22
+ "gate_spectral": 1.0,
23
+ "gate_port": 1.0,
24
+ "gate_fold": 1.0,
25
+ "gate_dissipation": 1.0,
26
+ "lead_1_rmse": 0.5444644689559937,
27
+ "lead_2_rmse": 0.632646381855011,
28
+ "lead_3_rmse": 0.7344701290130615,
29
+ "lead_4_rmse": 0.8277510404586792,
30
+ "lead_5_rmse": 0.9045435190200806,
31
+ "lead_6_rmse": 0.9639720320701599,
32
+ "lead_7_rmse": 1.00797700881958,
33
+ "lead_8_rmse": 1.0396322011947632,
34
+ "lead_1_mae": 0.49207600951194763,
35
+ "lead_2_mae": 0.5648974776268005,
36
+ "lead_3_mae": 0.6416164040565491,
37
+ "lead_4_mae": 0.7096887230873108,
38
+ "lead_5_mae": 0.7658676505088806,
39
+ "lead_6_mae": 0.8102531433105469,
40
+ "lead_7_mae": 0.8439646363258362,
41
+ "lead_8_mae": 0.8687748908996582
42
+ },
43
+ {
44
+ "step": 50,
45
+ "loss_pred": 0.08434844017028809,
46
+ "loss_total": 0.10333007574081421,
47
+ "loss_align": 0.01718110218644142,
48
+ "loss_energy": 0.21750323474407196,
49
+ "loss_reverse": 0.03730441629886627,
50
+ "loss_fold": 0.09030319005250931,
51
+ "loss_spectral": 0.006346684414893389,
52
+ "gate_cost": 1.0,
53
+ "rmse_mean": 0.3010871112346649,
54
+ "rmse_last": 0.3345949053764343,
55
+ "mae_mean": 0.23366612195968628,
56
+ "mae_last": 0.25244322419166565,
57
+ "spectral_error": 0.0062998396751936525,
58
+ "eval_seconds_per_batch": 0.03171570599079132,
59
+ "mean_energy_drift": 0.24559772852808237,
60
+ "mean_reverse_error": 0.037154899444431067,
61
+ "mean_fold_dyn_error": 0.09305780800059438,
62
+ "gate_closed": 1.0,
63
+ "gate_spectral": 1.0,
64
+ "gate_port": 1.0,
65
+ "gate_fold": 1.0,
66
+ "gate_dissipation": 1.0,
67
+ "lead_1_rmse": 0.26955437660217285,
68
+ "lead_2_rmse": 0.2794928550720215,
69
+ "lead_3_rmse": 0.29321765899658203,
70
+ "lead_4_rmse": 0.29964202642440796,
71
+ "lead_5_rmse": 0.3031306564807892,
72
+ "lead_6_rmse": 0.30912262201309204,
73
+ "lead_7_rmse": 0.3199416995048523,
74
+ "lead_8_rmse": 0.3345949053764343,
75
+ "lead_1_mae": 0.21558277308940887,
76
+ "lead_2_mae": 0.22075465321540833,
77
+ "lead_3_mae": 0.22837895154953003,
78
+ "lead_4_mae": 0.2326609492301941,
79
+ "lead_5_mae": 0.23560118675231934,
80
+ "lead_6_mae": 0.23920731246471405,
81
+ "lead_7_mae": 0.24469983577728271,
82
+ "lead_8_mae": 0.25244322419166565
83
+ },
84
+ {
85
+ "step": 100,
86
+ "loss_pred": 0.044872842729091644,
87
+ "loss_total": 0.06201060116291046,
88
+ "loss_align": 0.03066863864660263,
89
+ "loss_energy": 0.1438281387090683,
90
+ "loss_reverse": 0.029236864298582077,
91
+ "loss_fold": 0.06413379311561584,
92
+ "loss_spectral": 0.004380326252430677,
93
+ "gate_cost": 1.0,
94
+ "rmse_mean": 0.2028665542602539,
95
+ "rmse_last": 0.23538920283317566,
96
+ "mae_mean": 0.12782759964466095,
97
+ "mae_last": 0.14903269708156586,
98
+ "spectral_error": 0.004120444034924731,
99
+ "eval_seconds_per_batch": 0.03757861256599426,
100
+ "mean_energy_drift": 0.1219100235030055,
101
+ "mean_reverse_error": 0.028812697273679078,
102
+ "mean_fold_dyn_error": 0.06521343626081944,
103
+ "gate_closed": 1.0,
104
+ "gate_spectral": 1.0,
105
+ "gate_port": 1.0,
106
+ "gate_fold": 1.0,
107
+ "gate_dissipation": 1.0,
108
+ "lead_1_rmse": 0.1619516760110855,
109
+ "lead_2_rmse": 0.17562320828437805,
110
+ "lead_3_rmse": 0.19112415611743927,
111
+ "lead_4_rmse": 0.20214663445949554,
112
+ "lead_5_rmse": 0.2107318788766861,
113
+ "lead_6_rmse": 0.21885792911052704,
114
+ "lead_7_rmse": 0.2271076738834381,
115
+ "lead_8_rmse": 0.23538920283317566,
116
+ "lead_1_mae": 0.10395301133394241,
117
+ "lead_2_mae": 0.10957007110118866,
118
+ "lead_3_mae": 0.11898043006658554,
119
+ "lead_4_mae": 0.12664927542209625,
120
+ "lead_5_mae": 0.13270260393619537,
121
+ "lead_6_mae": 0.13819856941699982,
122
+ "lead_7_mae": 0.14353416860103607,
123
+ "lead_8_mae": 0.14903269708156586
124
+ },
125
+ {
126
+ "step": 150,
127
+ "loss_pred": 0.03946998715400696,
128
+ "loss_total": 0.053253062069416046,
129
+ "loss_align": 0.021857064217329025,
130
+ "loss_energy": 0.04546376317739487,
131
+ "loss_reverse": 0.0239260196685791,
132
+ "loss_fold": 0.03707191348075867,
133
+ "loss_spectral": 0.0038053200114518404,
134
+ "gate_cost": 1.0,
135
+ "rmse_mean": 0.20434454083442688,
136
+ "rmse_last": 0.21378645300865173,
137
+ "mae_mean": 0.13091835379600525,
138
+ "mae_last": 0.142153799533844,
139
+ "spectral_error": 0.0038822179776616395,
140
+ "eval_seconds_per_batch": 0.031144335865974426,
141
+ "mean_energy_drift": 0.09159989608451724,
142
+ "mean_reverse_error": 0.022025504615157843,
143
+ "mean_fold_dyn_error": 0.03981009894050658,
144
+ "gate_closed": 1.0,
145
+ "gate_spectral": 1.0,
146
+ "gate_port": 1.0,
147
+ "gate_fold": 1.0,
148
+ "gate_dissipation": 1.0,
149
+ "lead_1_rmse": 0.18022197484970093,
150
+ "lead_2_rmse": 0.1932593286037445,
151
+ "lead_3_rmse": 0.2043316662311554,
152
+ "lead_4_rmse": 0.209133118391037,
153
+ "lead_5_rmse": 0.2106579840183258,
154
+ "lead_6_rmse": 0.21133215725421906,
155
+ "lead_7_rmse": 0.21203365921974182,
156
+ "lead_8_rmse": 0.21378645300865173,
157
+ "lead_1_mae": 0.11619839072227478,
158
+ "lead_2_mae": 0.12116150557994843,
159
+ "lead_3_mae": 0.12692557275295258,
160
+ "lead_4_mae": 0.13115273416042328,
161
+ "lead_5_mae": 0.13417421281337738,
162
+ "lead_6_mae": 0.1365836262702942,
163
+ "lead_7_mae": 0.13899697363376617,
164
+ "lead_8_mae": 0.142153799533844
165
+ },
166
+ {
167
+ "step": 200,
168
+ "loss_pred": 0.02628304623067379,
169
+ "loss_total": 0.039191361516714096,
170
+ "loss_align": 0.017040666192770004,
171
+ "loss_energy": 0.03253509849309921,
172
+ "loss_reverse": 0.018267404288053513,
173
+ "loss_fold": 0.028909118846058846,
174
+ "loss_spectral": 0.003459166968241334,
175
+ "gate_cost": 1.0,
176
+ "rmse_mean": 0.1483457386493683,
177
+ "rmse_last": 0.16195791959762573,
178
+ "mae_mean": 0.09949244558811188,
179
+ "mae_last": 0.11195344477891922,
180
+ "spectral_error": 0.002767812467936892,
181
+ "eval_seconds_per_batch": 0.031224071979522705,
182
+ "mean_energy_drift": 0.040713552851229906,
183
+ "mean_reverse_error": 0.01848181721288711,
184
+ "mean_fold_dyn_error": 0.030085922917351127,
185
+ "gate_closed": 1.0,
186
+ "gate_spectral": 1.0,
187
+ "gate_port": 1.0,
188
+ "gate_fold": 1.0,
189
+ "gate_dissipation": 1.0,
190
+ "lead_1_rmse": 0.12181694805622101,
191
+ "lead_2_rmse": 0.13582025468349457,
192
+ "lead_3_rmse": 0.14772869646549225,
193
+ "lead_4_rmse": 0.15262579917907715,
194
+ "lead_5_rmse": 0.15420982241630554,
195
+ "lead_6_rmse": 0.15526726841926575,
196
+ "lead_7_rmse": 0.15733927488327026,
197
+ "lead_8_rmse": 0.16195791959762573,
198
+ "lead_1_mae": 0.08407437056303024,
199
+ "lead_2_mae": 0.08917821943759918,
200
+ "lead_3_mae": 0.09562411159276962,
201
+ "lead_4_mae": 0.09994480758905411,
202
+ "lead_5_mae": 0.10271253436803818,
203
+ "lead_6_mae": 0.10488138347864151,
204
+ "lead_7_mae": 0.10757071524858475,
205
+ "lead_8_mae": 0.11195344477891922
206
+ },
207
+ {
208
+ "step": 250,
209
+ "loss_pred": 0.022429248318076134,
210
+ "loss_total": 0.03486622869968414,
211
+ "loss_align": 0.015172753483057022,
212
+ "loss_energy": 0.026809874922037125,
213
+ "loss_reverse": 0.017581425607204437,
214
+ "loss_fold": 0.021808786317706108,
215
+ "loss_spectral": 0.0027250407729297876,
216
+ "gate_cost": 1.0,
217
+ "rmse_mean": 0.14410820603370667,
218
+ "rmse_last": 0.16555272042751312,
219
+ "mae_mean": 0.10380290448665619,
220
+ "mae_last": 0.11777492612600327,
221
+ "spectral_error": 0.0028336596151348203,
222
+ "eval_seconds_per_batch": 0.030914053320884705,
223
+ "mean_energy_drift": 0.024467851500958204,
224
+ "mean_reverse_error": 0.017337274504825473,
225
+ "mean_fold_dyn_error": 0.021088881534524262,
226
+ "gate_closed": 1.0,
227
+ "gate_spectral": 1.0,
228
+ "gate_port": 1.0,
229
+ "gate_fold": 1.0,
230
+ "gate_dissipation": 1.0,
231
+ "lead_1_rmse": 0.11268790811300278,
232
+ "lead_2_rmse": 0.1266133040189743,
233
+ "lead_3_rmse": 0.13838067650794983,
234
+ "lead_4_rmse": 0.14492380619049072,
235
+ "lead_5_rmse": 0.1501065045595169,
236
+ "lead_6_rmse": 0.15497373044490814,
237
+ "lead_7_rmse": 0.1596270054578781,
238
+ "lead_8_rmse": 0.16555272042751312,
239
+ "lead_1_mae": 0.08325513452291489,
240
+ "lead_2_mae": 0.09164709597826004,
241
+ "lead_3_mae": 0.09949992597103119,
242
+ "lead_4_mae": 0.10465765744447708,
243
+ "lead_5_mae": 0.1083192527294159,
244
+ "lead_6_mae": 0.11124606430530548,
245
+ "lead_7_mae": 0.11402322351932526,
246
+ "lead_8_mae": 0.11777492612600327
247
+ }
248
+ ]
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_spectral/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a6ad3d435d1e06680319a905ccddce7dfba542cc01418ee25e80df445bd3e58e
3
+ size 2715573
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_spectral/metrics.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.1296919882297516,
3
+ "rmse_last": 0.15626762807369232,
4
+ "mae_mean": 0.08596709370613098,
5
+ "mae_last": 0.09902963787317276,
6
+ "spectral_error": 0.002116734660230577,
7
+ "eval_seconds_per_batch": 0.029886484146118164,
8
+ "mean_energy_drift": 0.011062230914831161,
9
+ "mean_reverse_error": 0.002844747994095087,
10
+ "mean_fold_dyn_error": 0.003969734832644463,
11
+ "gate_closed": 0.00045285443775355816,
12
+ "gate_spectral": 0.0,
13
+ "gate_port": 0.9999780058860779,
14
+ "gate_fold": 5.363373929867521e-05,
15
+ "gate_dissipation": 1.7163743905257434e-05,
16
+ "lead_1_rmse": 0.11555702239274979,
17
+ "lead_2_rmse": 0.1109975278377533,
18
+ "lead_3_rmse": 0.11837954819202423,
19
+ "lead_4_rmse": 0.1250908225774765,
20
+ "lead_5_rmse": 0.13031616806983948,
21
+ "lead_6_rmse": 0.13628838956356049,
22
+ "lead_7_rmse": 0.1446387618780136,
23
+ "lead_8_rmse": 0.15626762807369232,
24
+ "lead_1_mae": 0.08247707039117813,
25
+ "lead_2_mae": 0.07698105275630951,
26
+ "lead_3_mae": 0.07978333532810211,
27
+ "lead_4_mae": 0.08290798962116241,
28
+ "lead_5_mae": 0.08541682362556458,
29
+ "lead_6_mae": 0.08838851004838943,
30
+ "lead_7_mae": 0.09275234490633011,
31
+ "lead_8_mae": 0.09902963787317276,
32
+ "model": "sticm_v4_no_spectral",
33
+ "params": 539623,
34
+ "train_seconds": 27.34296441078186
35
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/sticm_v4_no_spectral/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/sticm_v4_no_spectral/train_log.json ADDED
@@ -0,0 +1,248 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_pred": 1.301252841949463,
5
+ "loss_total": 1.319215178489685,
6
+ "loss_align": 0.27796801924705505,
7
+ "loss_energy": 0.00240256916731596,
8
+ "loss_reverse": 3.685009141918272e-05,
9
+ "loss_fold": 0.00028436421416699886,
10
+ "loss_spectral": 0.0,
11
+ "gate_cost": 0.4006650149822235,
12
+ "rmse_mean": 1.005881667137146,
13
+ "rmse_last": 1.243999719619751,
14
+ "mae_mean": 0.8210251927375793,
15
+ "mae_last": 0.9905399680137634,
16
+ "spectral_error": 0.0216008861316368,
17
+ "eval_seconds_per_batch": 0.030857011675834656,
18
+ "mean_energy_drift": 0.019353314710315317,
19
+ "mean_reverse_error": 7.852740463931696e-05,
20
+ "mean_fold_dyn_error": 0.0005411791062215343,
21
+ "gate_closed": 0.4557327330112457,
22
+ "gate_spectral": 0.0,
23
+ "gate_port": 0.580731213092804,
24
+ "gate_fold": 0.49851810932159424,
25
+ "gate_dissipation": 0.5193980932235718,
26
+ "lead_1_rmse": 0.6855512857437134,
27
+ "lead_2_rmse": 0.7904678583145142,
28
+ "lead_3_rmse": 0.8992724418640137,
29
+ "lead_4_rmse": 0.9975891709327698,
30
+ "lead_5_rmse": 1.0805387496948242,
31
+ "lead_6_rmse": 1.148000717163086,
32
+ "lead_7_rmse": 1.2016336917877197,
33
+ "lead_8_rmse": 1.243999719619751,
34
+ "lead_1_mae": 0.5973769426345825,
35
+ "lead_2_mae": 0.670856773853302,
36
+ "lead_3_mae": 0.7458243370056152,
37
+ "lead_4_mae": 0.8135336637496948,
38
+ "lead_5_mae": 0.8715477585792542,
39
+ "lead_6_mae": 0.9197043180465698,
40
+ "lead_7_mae": 0.9588175415992737,
41
+ "lead_8_mae": 0.9905399680137634
42
+ },
43
+ {
44
+ "step": 50,
45
+ "loss_pred": 0.05382804200053215,
46
+ "loss_total": 0.059416718780994415,
47
+ "loss_align": 0.02934754081070423,
48
+ "loss_energy": 0.05257192999124527,
49
+ "loss_reverse": 0.007728002034127712,
50
+ "loss_fold": 0.026084735989570618,
51
+ "loss_spectral": 0.0,
52
+ "gate_cost": 0.21327634155750275,
53
+ "rmse_mean": 0.23079106211662292,
54
+ "rmse_last": 0.261444628238678,
55
+ "mae_mean": 0.16134020686149597,
56
+ "mae_last": 0.17961306869983673,
57
+ "spectral_error": 0.004469251463888213,
58
+ "eval_seconds_per_batch": 0.030743107199668884,
59
+ "mean_energy_drift": 0.0574497957713902,
60
+ "mean_reverse_error": 0.008670486218761653,
61
+ "mean_fold_dyn_error": 0.02799559512641281,
62
+ "gate_closed": 0.0687258318066597,
63
+ "gate_spectral": 0.0,
64
+ "gate_port": 0.9998104572296143,
65
+ "gate_fold": 0.0006638285703957081,
66
+ "gate_dissipation": 0.00026711885584518313,
67
+ "lead_1_rmse": 0.1799742728471756,
68
+ "lead_2_rmse": 0.20303283631801605,
69
+ "lead_3_rmse": 0.22593218088150024,
70
+ "lead_4_rmse": 0.23839685320854187,
71
+ "lead_5_rmse": 0.2423895001411438,
72
+ "lead_6_rmse": 0.24465876817703247,
73
+ "lead_7_rmse": 0.2504993975162506,
74
+ "lead_8_rmse": 0.261444628238678,
75
+ "lead_1_mae": 0.12129683792591095,
76
+ "lead_2_mae": 0.14057981967926025,
77
+ "lead_3_mae": 0.1590394675731659,
78
+ "lead_4_mae": 0.16927777230739594,
79
+ "lead_5_mae": 0.17245006561279297,
80
+ "lead_6_mae": 0.17325465381145477,
81
+ "lead_7_mae": 0.17521005868911743,
82
+ "lead_8_mae": 0.17961306869983673
83
+ },
84
+ {
85
+ "step": 100,
86
+ "loss_pred": 0.04315795749425888,
87
+ "loss_total": 0.047590143978595734,
88
+ "loss_align": 0.025435354560613632,
89
+ "loss_energy": 0.02702353149652481,
90
+ "loss_reverse": 0.005505091976374388,
91
+ "loss_fold": 0.016763245686888695,
92
+ "loss_spectral": 0.0,
93
+ "gate_cost": 0.20069511234760284,
94
+ "rmse_mean": 0.1990453004837036,
95
+ "rmse_last": 0.22790464758872986,
96
+ "mae_mean": 0.12449108064174652,
97
+ "mae_last": 0.14479349553585052,
98
+ "spectral_error": 0.0038277818966889754,
99
+ "eval_seconds_per_batch": 0.03057260811328888,
100
+ "mean_energy_drift": 0.031719646241981536,
101
+ "mean_reverse_error": 0.005088972888188437,
102
+ "mean_fold_dyn_error": 0.01573796709999442,
103
+ "gate_closed": 0.003201472805812955,
104
+ "gate_spectral": 0.0,
105
+ "gate_port": 0.9999534487724304,
106
+ "gate_fold": 0.00019037708989344537,
107
+ "gate_dissipation": 4.512673694989644e-05,
108
+ "lead_1_rmse": 0.16650931537151337,
109
+ "lead_2_rmse": 0.17378251254558563,
110
+ "lead_3_rmse": 0.18834815919399261,
111
+ "lead_4_rmse": 0.19929131865501404,
112
+ "lead_5_rmse": 0.2061312198638916,
113
+ "lead_6_rmse": 0.21183064579963684,
114
+ "lead_7_rmse": 0.2185646891593933,
115
+ "lead_8_rmse": 0.22790464758872986,
116
+ "lead_1_mae": 0.10582883656024933,
117
+ "lead_2_mae": 0.10763422399759293,
118
+ "lead_3_mae": 0.11536882072687149,
119
+ "lead_4_mae": 0.1226080060005188,
120
+ "lead_5_mae": 0.12816821038722992,
121
+ "lead_6_mae": 0.13313743472099304,
122
+ "lead_7_mae": 0.1383896768093109,
123
+ "lead_8_mae": 0.14479349553585052
124
+ },
125
+ {
126
+ "step": 150,
127
+ "loss_pred": 0.026536256074905396,
128
+ "loss_total": 0.030371500179171562,
129
+ "loss_align": 0.02261650748550892,
130
+ "loss_energy": 0.017063792794942856,
131
+ "loss_reverse": 0.003877803683280945,
132
+ "loss_fold": 0.009414507076144218,
133
+ "loss_spectral": 0.0,
134
+ "gate_cost": 0.20031516253948212,
135
+ "rmse_mean": 0.15434670448303223,
136
+ "rmse_last": 0.18295918405056,
137
+ "mae_mean": 0.10223172605037689,
138
+ "mae_last": 0.11937858164310455,
139
+ "spectral_error": 0.0033264727535424754,
140
+ "eval_seconds_per_batch": 0.030720874667167664,
141
+ "mean_energy_drift": 0.018315600173082203,
142
+ "mean_reverse_error": 0.0037651120801456273,
143
+ "mean_fold_dyn_error": 0.008629432268207893,
144
+ "gate_closed": 0.001441338798031211,
145
+ "gate_spectral": 0.0,
146
+ "gate_port": 0.9999660849571228,
147
+ "gate_fold": 0.00011600106518017128,
148
+ "gate_dissipation": 2.9758251912426203e-05,
149
+ "lead_1_rmse": 0.1333320587873459,
150
+ "lead_2_rmse": 0.13350987434387207,
151
+ "lead_3_rmse": 0.14251527190208435,
152
+ "lead_4_rmse": 0.1504160761833191,
153
+ "lead_5_rmse": 0.156770259141922,
154
+ "lead_6_rmse": 0.16344420611858368,
155
+ "lead_7_rmse": 0.17182673513889313,
156
+ "lead_8_rmse": 0.18295918405056,
157
+ "lead_1_mae": 0.09029068797826767,
158
+ "lead_2_mae": 0.08919867873191833,
159
+ "lead_3_mae": 0.09460514783859253,
160
+ "lead_4_mae": 0.09968768060207367,
161
+ "lead_5_mae": 0.10382998734712601,
162
+ "lead_6_mae": 0.10795062780380249,
163
+ "lead_7_mae": 0.1129123866558075,
164
+ "lead_8_mae": 0.11937858164310455
165
+ },
166
+ {
167
+ "step": 200,
168
+ "loss_pred": 0.021262314170598984,
169
+ "loss_total": 0.02484346553683281,
170
+ "loss_align": 0.02143136039376259,
171
+ "loss_energy": 0.012834600172936916,
172
+ "loss_reverse": 0.0033377320505678654,
173
+ "loss_fold": 0.006151085719466209,
174
+ "loss_spectral": 0.0,
175
+ "gate_cost": 0.20016050338745117,
176
+ "rmse_mean": 0.16285690665245056,
177
+ "rmse_last": 0.1909525841474533,
178
+ "mae_mean": 0.0995313748717308,
179
+ "mae_last": 0.11903435736894608,
180
+ "spectral_error": 0.002974949180497788,
181
+ "eval_seconds_per_batch": 0.03150258958339691,
182
+ "mean_energy_drift": 0.016106549766846,
183
+ "mean_reverse_error": 0.003445455673499964,
184
+ "mean_fold_dyn_error": 0.005913565139053389,
185
+ "gate_closed": 0.0007363007753156126,
186
+ "gate_spectral": 0.0,
187
+ "gate_port": 0.9999739527702332,
188
+ "gate_fold": 7.599960372317582e-05,
189
+ "gate_dissipation": 2.1917694539297372e-05,
190
+ "lead_1_rmse": 0.1356460005044937,
191
+ "lead_2_rmse": 0.13936074078083038,
192
+ "lead_3_rmse": 0.15215803682804108,
193
+ "lead_4_rmse": 0.16186589002609253,
194
+ "lead_5_rmse": 0.16811999678611755,
195
+ "lead_6_rmse": 0.1737881898880005,
196
+ "lead_7_rmse": 0.18096381425857544,
197
+ "lead_8_rmse": 0.1909525841474533,
198
+ "lead_1_mae": 0.08248995989561081,
199
+ "lead_2_mae": 0.08296507596969604,
200
+ "lead_3_mae": 0.09022790193557739,
201
+ "lead_4_mae": 0.09742420166730881,
202
+ "lead_5_mae": 0.10313812643289566,
203
+ "lead_6_mae": 0.10800857096910477,
204
+ "lead_7_mae": 0.11296277493238449,
205
+ "lead_8_mae": 0.11903435736894608
206
+ },
207
+ {
208
+ "step": 250,
209
+ "loss_pred": 0.025011342018842697,
210
+ "loss_total": 0.028504127636551857,
211
+ "loss_align": 0.021826814860105515,
212
+ "loss_energy": 0.010943894274532795,
213
+ "loss_reverse": 0.002864172914996743,
214
+ "loss_fold": 0.004141457844525576,
215
+ "loss_spectral": 0.0,
216
+ "gate_cost": 0.2001040279865265,
217
+ "rmse_mean": 0.1320297122001648,
218
+ "rmse_last": 0.15771320462226868,
219
+ "mae_mean": 0.08686959743499756,
220
+ "mae_last": 0.0997791737318039,
221
+ "spectral_error": 0.0022633792978012934,
222
+ "eval_seconds_per_batch": 0.031316399574279785,
223
+ "mean_energy_drift": 0.012330328318057582,
224
+ "mean_reverse_error": 0.0028332964138826355,
225
+ "mean_fold_dyn_error": 0.003900857438566163,
226
+ "gate_closed": 0.00045091743231751025,
227
+ "gate_spectral": 0.0,
228
+ "gate_port": 0.9999768137931824,
229
+ "gate_fold": 5.6923527154140174e-05,
230
+ "gate_dissipation": 1.81808318302501e-05,
231
+ "lead_1_rmse": 0.11864517629146576,
232
+ "lead_2_rmse": 0.11398621648550034,
233
+ "lead_3_rmse": 0.12087692320346832,
234
+ "lead_4_rmse": 0.12733876705169678,
235
+ "lead_5_rmse": 0.13254700601100922,
236
+ "lead_6_rmse": 0.13850727677345276,
237
+ "lead_7_rmse": 0.14662310481071472,
238
+ "lead_8_rmse": 0.15771320462226868,
239
+ "lead_1_mae": 0.08382058143615723,
240
+ "lead_2_mae": 0.07813762873411179,
241
+ "lead_3_mae": 0.08047442138195038,
242
+ "lead_4_mae": 0.08349043130874634,
243
+ "lead_5_mae": 0.08617918193340302,
244
+ "lead_6_mae": 0.0893549844622612,
245
+ "lead_7_mae": 0.09372039884328842,
246
+ "lead_8_mae": 0.0997791737318039
247
+ }
248
+ ]
实验1/stic_m_v4_moving_shapes_exp1/unet_lite/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24e9021b176f4b2bfade8a45753392aa54bfdaa496fa9a889077b05a5e7af6d5
3
+ size 826613
实验1/stic_m_v4_moving_shapes_exp1/unet_lite/metrics.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rmse_mean": 0.11898637562990189,
3
+ "rmse_last": 0.13696104288101196,
4
+ "mae_mean": 0.077875055372715,
5
+ "mae_last": 0.09108266979455948,
6
+ "spectral_error": 0.0021448929188773035,
7
+ "eval_seconds_per_batch": 0.0034030532836914064,
8
+ "mean_energy_drift": NaN,
9
+ "mean_reverse_error": NaN,
10
+ "mean_fold_dyn_error": NaN,
11
+ "lead_1_rmse": 0.10366576910018921,
12
+ "lead_2_rmse": 0.11208924651145935,
13
+ "lead_3_rmse": 0.11846699565649033,
14
+ "lead_4_rmse": 0.11576920747756958,
15
+ "lead_5_rmse": 0.11795565485954285,
16
+ "lead_6_rmse": 0.12006501853466034,
17
+ "lead_7_rmse": 0.12691809237003326,
18
+ "lead_8_rmse": 0.13696104288101196,
19
+ "lead_1_mae": 0.06903789192438126,
20
+ "lead_2_mae": 0.0755542740225792,
21
+ "lead_3_mae": 0.07845678180456161,
22
+ "lead_4_mae": 0.07437876611948013,
23
+ "lead_5_mae": 0.07561659067869186,
24
+ "lead_6_mae": 0.07676268368959427,
25
+ "lead_7_mae": 0.08211078494787216,
26
+ "lead_8_mae": 0.09108266979455948,
27
+ "model": "unet_lite",
28
+ "params": 203816,
29
+ "train_seconds": 2.2011868953704834
30
+ }
/345/256/236/351/252/2141/stic_m_v4_moving_shapes_exp1/unet_lite/prediction_example.png ADDED
实验1/stic_m_v4_moving_shapes_exp1/unet_lite/train_log.json ADDED
@@ -0,0 +1,182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 1,
4
+ "loss_total": 1.083315134048462,
5
+ "loss_pred": 1.083315134048462,
6
+ "rmse_mean": 0.833942174911499,
7
+ "rmse_last": 0.8801590204238892,
8
+ "mae_mean": 0.7055760025978088,
9
+ "mae_last": 0.7509969472885132,
10
+ "spectral_error": 0.04064385197125375,
11
+ "eval_seconds_per_batch": 0.0034376531839370728,
12
+ "mean_energy_drift": NaN,
13
+ "mean_reverse_error": NaN,
14
+ "mean_fold_dyn_error": NaN,
15
+ "lead_1_rmse": 0.782173216342926,
16
+ "lead_2_rmse": 0.7267908453941345,
17
+ "lead_3_rmse": 0.8484038710594177,
18
+ "lead_4_rmse": 0.8067344427108765,
19
+ "lead_5_rmse": 0.9071045517921448,
20
+ "lead_6_rmse": 0.8316066265106201,
21
+ "lead_7_rmse": 0.8885653018951416,
22
+ "lead_8_rmse": 0.8801590204238892,
23
+ "lead_1_mae": 0.6677688956260681,
24
+ "lead_2_mae": 0.6273307800292969,
25
+ "lead_3_mae": 0.6648392677307129,
26
+ "lead_4_mae": 0.6841435432434082,
27
+ "lead_5_mae": 0.7477149963378906,
28
+ "lead_6_mae": 0.7248918414115906,
29
+ "lead_7_mae": 0.7769217491149902,
30
+ "lead_8_mae": 0.7509969472885132
31
+ },
32
+ {
33
+ "step": 50,
34
+ "loss_total": 0.04753348231315613,
35
+ "loss_pred": 0.04753348231315613,
36
+ "rmse_mean": 0.20198877155780792,
37
+ "rmse_last": 0.23052534461021423,
38
+ "mae_mean": 0.14053428173065186,
39
+ "mae_last": 0.16205278038978577,
40
+ "spectral_error": 0.004640972038032487,
41
+ "eval_seconds_per_batch": 0.0033347606658935547,
42
+ "mean_energy_drift": NaN,
43
+ "mean_reverse_error": NaN,
44
+ "mean_fold_dyn_error": NaN,
45
+ "lead_1_rmse": 0.18686170876026154,
46
+ "lead_2_rmse": 0.18463927507400513,
47
+ "lead_3_rmse": 0.19116291403770447,
48
+ "lead_4_rmse": 0.19729606807231903,
49
+ "lead_5_rmse": 0.20123960077762604,
50
+ "lead_6_rmse": 0.21004009246826172,
51
+ "lead_7_rmse": 0.21414519846439362,
52
+ "lead_8_rmse": 0.23052534461021423,
53
+ "lead_1_mae": 0.13612672686576843,
54
+ "lead_2_mae": 0.12628208100795746,
55
+ "lead_3_mae": 0.12899945676326752,
56
+ "lead_4_mae": 0.13558398187160492,
57
+ "lead_5_mae": 0.13820728659629822,
58
+ "lead_6_mae": 0.14618532359600067,
59
+ "lead_7_mae": 0.15083664655685425,
60
+ "lead_8_mae": 0.16205278038978577
61
+ },
62
+ {
63
+ "step": 100,
64
+ "loss_total": 0.03436443209648132,
65
+ "loss_pred": 0.03436443209648132,
66
+ "rmse_mean": 0.1685519516468048,
67
+ "rmse_last": 0.20142319798469543,
68
+ "mae_mean": 0.1237226203083992,
69
+ "mae_last": 0.15175385773181915,
70
+ "spectral_error": 0.003482561412965879,
71
+ "eval_seconds_per_batch": 0.0033343732357025146,
72
+ "mean_energy_drift": NaN,
73
+ "mean_reverse_error": NaN,
74
+ "mean_fold_dyn_error": NaN,
75
+ "lead_1_rmse": 0.14781565964221954,
76
+ "lead_2_rmse": 0.1581181436777115,
77
+ "lead_3_rmse": 0.16720013320446014,
78
+ "lead_4_rmse": 0.16976319253444672,
79
+ "lead_5_rmse": 0.16648250818252563,
80
+ "lead_6_rmse": 0.16337744891643524,
81
+ "lead_7_rmse": 0.1742352545261383,
82
+ "lead_8_rmse": 0.20142319798469543,
83
+ "lead_1_mae": 0.10118170082569122,
84
+ "lead_2_mae": 0.11633644998073578,
85
+ "lead_3_mae": 0.1279919296503067,
86
+ "lead_4_mae": 0.13024525344371796,
87
+ "lead_5_mae": 0.11968572437763214,
88
+ "lead_6_mae": 0.11560392379760742,
89
+ "lead_7_mae": 0.12698210775852203,
90
+ "lead_8_mae": 0.15175385773181915
91
+ },
92
+ {
93
+ "step": 150,
94
+ "loss_total": 0.024011019617319107,
95
+ "loss_pred": 0.024011019617319107,
96
+ "rmse_mean": 0.13824501633644104,
97
+ "rmse_last": 0.15852919220924377,
98
+ "mae_mean": 0.08973877131938934,
99
+ "mae_last": 0.10358041524887085,
100
+ "spectral_error": 0.002769821854599286,
101
+ "eval_seconds_per_batch": 0.0035806000232696533,
102
+ "mean_energy_drift": NaN,
103
+ "mean_reverse_error": NaN,
104
+ "mean_fold_dyn_error": NaN,
105
+ "lead_1_rmse": 0.11913303285837173,
106
+ "lead_2_rmse": 0.12656444311141968,
107
+ "lead_3_rmse": 0.13245245814323425,
108
+ "lead_4_rmse": 0.13471557199954987,
109
+ "lead_5_rmse": 0.14075669646263123,
110
+ "lead_6_rmse": 0.14384163916110992,
111
+ "lead_7_rmse": 0.1499670147895813,
112
+ "lead_8_rmse": 0.15852919220924377,
113
+ "lead_1_mae": 0.07879634201526642,
114
+ "lead_2_mae": 0.08152344822883606,
115
+ "lead_3_mae": 0.0840243324637413,
116
+ "lead_4_mae": 0.08672288805246353,
117
+ "lead_5_mae": 0.09168747812509537,
118
+ "lead_6_mae": 0.0935572013258934,
119
+ "lead_7_mae": 0.09801803529262543,
120
+ "lead_8_mae": 0.10358041524887085
121
+ },
122
+ {
123
+ "step": 200,
124
+ "loss_total": 0.02176353707909584,
125
+ "loss_pred": 0.02176353707909584,
126
+ "rmse_mean": 0.13434544205665588,
127
+ "rmse_last": 0.14430899918079376,
128
+ "mae_mean": 0.08630914986133575,
129
+ "mae_last": 0.09427301585674286,
130
+ "spectral_error": 0.0026896982308244333,
131
+ "eval_seconds_per_batch": 0.004253029823303223,
132
+ "mean_energy_drift": NaN,
133
+ "mean_reverse_error": NaN,
134
+ "mean_fold_dyn_error": NaN,
135
+ "lead_1_rmse": 0.11576144397258759,
136
+ "lead_2_rmse": 0.131504088640213,
137
+ "lead_3_rmse": 0.1382920742034912,
138
+ "lead_4_rmse": 0.13900581002235413,
139
+ "lead_5_rmse": 0.13793881237506866,
140
+ "lead_6_rmse": 0.13329477608203888,
141
+ "lead_7_rmse": 0.13465754687786102,
142
+ "lead_8_rmse": 0.14430899918079376,
143
+ "lead_1_mae": 0.07461873441934586,
144
+ "lead_2_mae": 0.08440493047237396,
145
+ "lead_3_mae": 0.08723174035549164,
146
+ "lead_4_mae": 0.08823581039905548,
147
+ "lead_5_mae": 0.0888737291097641,
148
+ "lead_6_mae": 0.08570166677236557,
149
+ "lead_7_mae": 0.08713359385728836,
150
+ "lead_8_mae": 0.09427301585674286
151
+ },
152
+ {
153
+ "step": 250,
154
+ "loss_total": 0.015196696855127811,
155
+ "loss_pred": 0.015196696855127811,
156
+ "rmse_mean": 0.12283720821142197,
157
+ "rmse_last": 0.14198993146419525,
158
+ "mae_mean": 0.07962223887443542,
159
+ "mae_last": 0.0941474661231041,
160
+ "spectral_error": 0.0023818003537598997,
161
+ "eval_seconds_per_batch": 0.003297939896583557,
162
+ "mean_energy_drift": NaN,
163
+ "mean_reverse_error": NaN,
164
+ "mean_fold_dyn_error": NaN,
165
+ "lead_1_rmse": 0.10602293908596039,
166
+ "lead_2_rmse": 0.11422643065452576,
167
+ "lead_3_rmse": 0.12153741717338562,
168
+ "lead_4_rmse": 0.11974197626113892,
169
+ "lead_5_rmse": 0.12207011878490448,
170
+ "lead_6_rmse": 0.1252446323633194,
171
+ "lead_7_rmse": 0.13186421990394592,
172
+ "lead_8_rmse": 0.14198993146419525,
173
+ "lead_1_mae": 0.06971803307533264,
174
+ "lead_2_mae": 0.07581193000078201,
175
+ "lead_3_mae": 0.07915306091308594,
176
+ "lead_4_mae": 0.07606273889541626,
177
+ "lead_5_mae": 0.07776128500699997,
178
+ "lead_6_mae": 0.0794956162571907,
179
+ "lead_7_mae": 0.08482781052589417,
180
+ "lead_8_mae": 0.0941474661231041
181
+ }
182
+ ]