summaryrefslogtreecommitdiff
path: root/research/flossing/engelken_python/official_py_prefloss_N80_k40_E1000_setsid.json
blob: 87d5d4b516a7d2e73505d6d35f7e773f82b5bb09 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
{
  "config": {
    "hidden_size": 80,
    "train_epochs": 1000,
    "inter_period": 100,
    "inter_epochs": 100,
    "pre_epochs": 100,
    "max_inter_episodes": 0,
    "batch_size": 16,
    "input_dim": 1,
    "train_steps": 300,
    "lyap_steps": 55,
    "floss_input_steps": 300,
    "seed_ic": 1,
    "seed_input": 1,
    "seed_net": 1,
    "seed_ons": 1,
    "lr": 0.001,
    "beta1": 0.9,
    "beta2": 0.999,
    "init_type": 1,
    "recurrent_gain": 1.0,
    "recurrent_mean_gain": 0.0,
    "input_scale": 1.0,
    "delay": 10,
    "ws_std": 1.0,
    "ws_mean": 0.0,
    "wr_std": 1.0,
    "wr_mean": 0.0,
    "b_std": 0.1,
    "b_mean": 0.0,
    "n_lyap": 40,
    "task": -1,
    "lyap_target": 0.0,
    "eval_every": 100,
    "eval_batches": 4,
    "log_every_floss": 25,
    "device": "cuda",
    "out": "research/flossing/engelken_python/official_py_prefloss_N80_k40_E1000_setsid.json"
  },
  "evals": [
    {
      "epoch": 1,
      "train_loss": 1.8594624996185303,
      "train_accuracy": 0.49777580071174377,
      "eval_loss": 1.6856758892536163,
      "eval_accuracy": 0.5019461743772242,
      "elapsed": 6.69805383682251
    },
    {
      "epoch": 100,
      "train_loss": 0.11722302436828613,
      "train_accuracy": 0.964635231316726,
      "eval_loss": 0.11776464246213436,
      "eval_accuracy": 0.9623554270462634,
      "elapsed": 21.55224633216858
    },
    {
      "epoch": 200,
      "train_loss": 0.028137803077697754,
      "train_accuracy": 0.9931049822064056,
      "eval_loss": 0.027145093772560358,
      "eval_accuracy": 0.9935498220640568,
      "elapsed": 36.35071516036987
    },
    {
      "epoch": 300,
      "train_loss": 0.012114334851503372,
      "train_accuracy": 0.9975533807829181,
      "eval_loss": 0.014187443535774946,
      "eval_accuracy": 0.9963300711743772,
      "elapsed": 50.83105397224426
    },
    {
      "epoch": 400,
      "train_loss": 0.008550425991415977,
      "train_accuracy": 0.9986654804270463,
      "eval_loss": 0.009522247593849897,
      "eval_accuracy": 0.9975533807829181,
      "elapsed": 65.30040979385376
    },
    {
      "epoch": 500,
      "train_loss": 0.006629249546676874,
      "train_accuracy": 0.998220640569395,
      "eval_loss": 0.009814425837248564,
      "eval_accuracy": 0.9973865658362989,
      "elapsed": 79.79007005691528
    },
    {
      "epoch": 600,
      "train_loss": 0.007227692287415266,
      "train_accuracy": 0.998220640569395,
      "eval_loss": 0.006339075975120068,
      "eval_accuracy": 0.9983874555160143,
      "elapsed": 94.47823691368103
    },
    {
      "epoch": 700,
      "train_loss": 0.00907257292419672,
      "train_accuracy": 0.9979982206405694,
      "eval_loss": 0.008150239707902074,
      "eval_accuracy": 0.9981094306049823,
      "elapsed": 109.5779447555542
    },
    {
      "epoch": 800,
      "train_loss": 0.005422760266810656,
      "train_accuracy": 0.998220640569395,
      "eval_loss": 0.006329314899630845,
      "eval_accuracy": 0.9981650355871887,
      "elapsed": 124.25900483131409
    },
    {
      "epoch": 900,
      "train_loss": 0.0072866384871304035,
      "train_accuracy": 0.998220640569395,
      "eval_loss": 0.0068275314988568425,
      "eval_accuracy": 0.9981650355871886,
      "elapsed": 138.78803777694702
    },
    {
      "epoch": 1000,
      "train_loss": 0.010031766258180141,
      "train_accuracy": 0.9973309608540926,
      "eval_loss": 0.01047352165915072,
      "eval_accuracy": 0.9972753558718862,
      "elapsed": 153.229962348938
    }
  ],
  "floss": [
    {
      "epoch": 1,
      "kind": "pre",
      "floss_step": 1,
      "loss": 0.2797410190105438,
      "lambda_mean": -0.507389485836029,
      "lambda_1": -0.2639281749725342,
      "elapsed": 0.7526497840881348
    },
    {
      "epoch": 1,
      "kind": "pre",
      "floss_step": 25,
      "loss": 0.09786238521337509,
      "lambda_mean": -0.29911166429519653,
      "lambda_1": -0.1687435507774353,
      "elapsed": 2.0286896228790283
    },
    {
      "epoch": 1,
      "kind": "pre",
      "floss_step": 50,
      "loss": 0.04969814047217369,
      "lambda_mean": -0.21222734451293945,
      "lambda_1": -0.13751955330371857,
      "elapsed": 3.3226377964019775
    },
    {
      "epoch": 1,
      "kind": "pre",
      "floss_step": 75,
      "loss": 0.02838609553873539,
      "lambda_mean": -0.1609755903482437,
      "lambda_1": -0.10771095007658005,
      "elapsed": 4.703521490097046
    },
    {
      "epoch": 1,
      "kind": "pre",
      "floss_step": 100,
      "loss": 0.00937537383288145,
      "lambda_mean": -0.09084373712539673,
      "lambda_1": -0.053737666457891464,
      "elapsed": 6.211953639984131
    }
  ],
  "task": []
}