Hugging Face's logo

Datasets:
UWU-R-13
/
SSVEN_pasqwerty

Dataset card Files
xet
 Community
p-j-r-1-2-3 commited on
Commit
c3bd925
·
verified ·
1 Parent(s): ade4335

add run anytime_uniform

Browse files
Files changed (2) hide show
  1. applied/opt02_seenn_bayes/anytime_uniform.summary.json +324 -0
  2. applied/opt02_seenn_bayes/anytime_uniform.zip +3 -0
applied/opt02_seenn_bayes/anytime_uniform.summary.json ADDED
@@ -0,0 +1,324 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "key": "opt02_seenn_bayes/anytime_uniform",
3
+ "tag": "anytime_uniform",
4
+ "script": "opt02_seenn_bayes.py",
5
+ "script_sha256_16": "dd4f650ca0b36f6e",
6
+ "hf_folder": "applied/opt02_seenn_bayes",
7
+ "priority": 2,
8
+ "note": "every truncation weighted equally instead of favouring full-T",
9
+ "phase": 6,
10
+ "n_phases": 10,
11
+ "method": "harmonic_matched",
12
+ "command": [
13
+ "/usr/bin/python3",
14
+ "-m",
15
+ "torch.distributed.run",
16
+ "--standalone",
17
+ "--nproc_per_node=2",
18
+ "/kaggle/working/scripts/opt02_seenn_bayes.py",
19
+ "--method",
20
+ "harmonic_matched",
21
+ "--data-root",
22
+ "/kaggle/working/data",
23
+ "--epochs",
24
+ "60",
25
+ "--seed",
26
+ "1234",
27
+ "--batch-size",
28
+ "64",
29
+ "--event-eval",
30
+ "--no-resume",
31
+ "--decision-margin",
32
+ "2.0",
33
+ "--hub-dir",
34
+ "/kaggle/working/hub/opt02_seenn_bayes/anytime_uniform",
35
+ "--keep-epoch-weights",
36
+ "1",
37
+ "--resplit",
38
+ "block",
39
+ "--drop-rest",
40
+ "--bench",
41
+ "--anytime-fracs",
42
+ "0.25,0.5,0.75,1.0",
43
+ "--anytime-weights",
44
+ "1,1,1,1"
45
+ ],
46
+ "flags": [
47
+ "--anytime-fracs",
48
+ "0.25,0.5,0.75,1.0",
49
+ "--anytime-weights",
50
+ "1,1,1,1"
51
+ ],
52
+ "epochs_requested": 60,
53
+ "gpus": 2,
54
+ "relative_epoch_cost": 1.0,
55
+ "exit_code": 0,
56
+ "status": "ok",
57
+ "duration_s": 795.3,
58
+ "started_utc": "2026-08-23T05:46:14.902117+00:00",
59
+ "finished_utc": "2026-08-23T05:59:30.223127+00:00",
60
+ "optimization_summary": {
61
+ "optimization": "seenn_early_exit_bayesian_fusion",
62
+ "research_section": "2. Temporal-dimension reduction",
63
+ "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
64
+ "script": "opt02_seenn_bayes.py",
65
+ "baseline_mode": false,
66
+ "method": "harmonic_matched",
67
+ "accuracy": {
68
+ "test_acc": 0.9135714285714286,
69
+ "test_target_acc": 0.9135714285714286,
70
+ "best_val_acc": 0.9128571428571428
71
+ },
72
+ "efficiency": {
73
+ "spikes_per_inference": null,
74
+ "syn_ops_per_inference": 3733221.637987013,
75
+ "dense_macs_per_inference": 123955200.0,
76
+ "event_fraction_of_dense": 0.03011750727671782,
77
+ "syn_ops_per_inference_dense_fanout": 65309839.42451298,
78
+ "weight_sparsity": 0.7324707846410685,
79
+ "effective_ticks": 7.942142857142857,
80
+ "num_ticks": 100,
81
+ "membrane_bytes_per_inference": 451200,
82
+ "weight_bytes": 4907008,
83
+ "input_raster_bytes": null,
84
+ "train_ms_per_step": 258.8063955307007,
85
+ "infer_ms_per_sample": 0.646195893910662,
86
+ "peak_vram_mb": 11064.903168,
87
+ "syn_ops_per_inference_early_exit": 1895163.5113636365
88
+ },
89
+ "optimization_specific": {
90
+ "seenn_enabled": true,
91
+ "bayes_fusion_enabled": true,
92
+ "conf_threshold": 0.9,
93
+ "conf_temp": 2.0,
94
+ "anytime_fracs": "0.25,0.5,0.75,1.0",
95
+ "anytime_weights": "1.0,1.0,1.0,1.0",
96
+ "ic_loss_weight": 0.3,
97
+ "ic_layer": 0,
98
+ "mean_exit_tick": 7.942142857142857,
99
+ "mean_exit_ms": 397.1071428571429,
100
+ "ticks_saved_frac": 0.9205785714285715,
101
+ "exit_tick_histogram": {
102
+ "counts": [
103
+ 1044,
104
+ 293,
105
+ 51,
106
+ 9,
107
+ 3,
108
+ 0,
109
+ 0,
110
+ 0,
111
+ 0,
112
+ 0
113
+ ],
114
+ "edges": [
115
+ 0.0,
116
+ 10.0,
117
+ 20.0,
118
+ 30.0,
119
+ 40.0,
120
+ 50.0,
121
+ 60.0,
122
+ 70.0,
123
+ 80.0,
124
+ 90.0,
125
+ 100.0
126
+ ]
127
+ },
128
+ "acc_fc_only": 0.9135714285714286,
129
+ "acc_ic_only": 0.9235714285714286,
130
+ "acc_fused": 0.9257142857142857,
131
+ "acc_early_exit": 0.38357142857142856,
132
+ "syn_ops_saved_frac": 0.4923517285768423,
133
+ "syn_per_inference_early_exit": 1895163.5113636365,
134
+ "anytime_acc": {
135
+ "0.25": 0.6114285714285714,
136
+ "0.5": 0.7957142857142857,
137
+ "0.75": 0.8764285714285714,
138
+ "1.0": 0.9135714285714286
139
+ },
140
+ "pareto": [
141
+ {
142
+ "conf": 0.5,
143
+ "mean_ticks": 4.28,
144
+ "acc": 0.24928571428571428,
145
+ "syn_ops": 1762351.5365259738
146
+ },
147
+ {
148
+ "conf": 0.7,
149
+ "mean_ticks": 4.979285714285714,
150
+ "acc": 0.27285714285714285,
151
+ "syn_ops": 1789906.663961039
152
+ },
153
+ {
154
+ "conf": 0.8,
155
+ "mean_ticks": 5.918571428571428,
156
+ "acc": 0.3028571428571429,
157
+ "syn_ops": 1827518.5
158
+ },
159
+ {
160
+ "conf": 0.9,
161
+ "mean_ticks": 7.942142857142857,
162
+ "acc": 0.38357142857142856,
163
+ "syn_ops": 1895163.6818181819
164
+ },
165
+ {
166
+ "conf": 0.95,
167
+ "mean_ticks": 10.063571428571429,
168
+ "acc": 0.45357142857142857,
169
+ "syn_ops": 1956706.423701299
170
+ },
171
+ {
172
+ "conf": 0.99,
173
+ "mean_ticks": 14.371428571428572,
174
+ "acc": 0.5792857142857143,
175
+ "syn_ops": 2056811.2378246754
176
+ }
177
+ ]
178
+ },
179
+ "config": {
180
+ "method": "harmonic_matched",
181
+ "data_root": "/kaggle/working/data",
182
+ "subjects": "",
183
+ "blocks": "",
184
+ "limit": 0,
185
+ "drop_rest": true,
186
+ "resplit": "block",
187
+ "test_blocks": "6",
188
+ "class_weight": false,
189
+ "epochs": 60,
190
+ "batch_size": 64,
191
+ "lr": 0.002,
192
+ "weight_decay": 0.0005,
193
+ "grad_clip": 5.0,
194
+ "num_bins": 100,
195
+ "window_sec": 5.0,
196
+ "hidden": "512,256",
197
+ "freq_groups": 8,
198
+ "dropout": 0.3,
199
+ "spike_drop": 0.1,
200
+ "time_jitter": 2,
201
+ "label_smoothing": 0.05,
202
+ "no_batchnorm": false,
203
+ "binary_input": false,
204
+ "beta": 1.0,
205
+ "thresh": 1.0,
206
+ "window": 0.5,
207
+ "gain": 1.0,
208
+ "alpha": 0.9,
209
+ "readout": "spikecount",
210
+ "fake_quant": 0,
211
+ "amp": false,
212
+ "spike_reg": 0.0,
213
+ "event_eval": true,
214
+ "decision_margin": 2.0,
215
+ "export": false,
216
+ "seed": 1234,
217
+ "baseline": false,
218
+ "bench": true,
219
+ "bench_warmup": 10,
220
+ "bench_iters": 50,
221
+ "bench_train_steps": 20,
222
+ "anytime_fracs": "0.25,0.5,0.75,1.0",
223
+ "anytime_weights": "1,1,1,1",
224
+ "ic_layer": 0,
225
+ "ic_loss_weight": 0.3,
226
+ "bayes_fusion": true,
227
+ "fusion_prior_weight": 1.0,
228
+ "conf_threshold": 0.9,
229
+ "conf_temp": 2.0,
230
+ "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
231
+ "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/anytime_uniform",
232
+ "repo_id": "UWU-R-13/SSVEP-SNN",
233
+ "push_hf": false,
234
+ "keep_epoch_weights": 1,
235
+ "no_resume": true,
236
+ "selftest": false,
237
+ "sampling_rate": 250.0
238
+ }
239
+ },
240
+ "final_summary": {
241
+ "final_test_acc": 0.9135714285714286,
242
+ "final_test_target_acc": 0.9135714285714286,
243
+ "final_test_rest_recall": NaN,
244
+ "best_acc": 0.9128571428571428,
245
+ "best_epoch": 50,
246
+ "resplit": "block",
247
+ "class_weight": false,
248
+ "drop_rest": true,
249
+ "epochs": 60,
250
+ "method": "harmonic_matched",
251
+ "n_in": 2880,
252
+ "n_classes": 40,
253
+ "num_bins": 100
254
+ },
255
+ "event_driven_summary": {
256
+ "num_ticks": 100,
257
+ "dt_ms": 50.0,
258
+ "acc": 0.9135714285714286,
259
+ "anytime_acc": {
260
+ "0.25": 0.6114285714285714,
261
+ "0.5": 0.7957142857142857,
262
+ "0.75": 0.8764285714285714,
263
+ "1.0": 0.9135714285714286
264
+ },
265
+ "syn_per_inference": 3733221.637987013,
266
+ "dense_per_inference": 123955200.0,
267
+ "event_fraction_of_dense": 0.03011750727671782,
268
+ "syn_per_inference_dense_fanout": 65309839.42451298,
269
+ "weight_sparsity": 0.7324707846410685,
270
+ "acc_fc_only": 0.9135714285714286,
271
+ "acc_ic_only": 0.9235714285714286,
272
+ "acc_fused": 0.9257142857142857,
273
+ "margin_decision_acc": 0.435,
274
+ "mean_decision_tick": 9.936428571428571,
275
+ "mean_decision_ms": 496.82142857142856,
276
+ "acc_early_exit": 0.38357142857142856,
277
+ "mean_exit_tick": 7.942142857142857,
278
+ "mean_exit_ms": 397.1071428571429,
279
+ "ticks_saved_frac": 0.9205785714285715,
280
+ "exit_tick_histogram": {
281
+ "counts": [
282
+ 1044,
283
+ 293,
284
+ 51,
285
+ 9,
286
+ 3,
287
+ 0,
288
+ 0,
289
+ 0,
290
+ 0,
291
+ 0
292
+ ],
293
+ "edges": [
294
+ 0.0,
295
+ 10.0,
296
+ 20.0,
297
+ 30.0,
298
+ 40.0,
299
+ 50.0,
300
+ 60.0,
301
+ 70.0,
302
+ 80.0,
303
+ 90.0,
304
+ 100.0
305
+ ]
306
+ },
307
+ "syn_per_inference_early_exit": 1895163.5113636365,
308
+ "syn_ops_saved_frac": 0.4923517285768423,
309
+ "dense_forward_test_acc": 0.9135714285714286
310
+ },
311
+ "extra_sweep_file_present": true,
312
+ "selftest": {
313
+ "mode": "gate",
314
+ "passed": true
315
+ },
316
+ "driver_version": 1,
317
+ "zip": {
318
+ "name": "anytime_uniform.zip",
319
+ "files": 81,
320
+ "bytes": 12645548,
321
+ "MB": 12.6,
322
+ "sha256": "617f732f2673439369572a52f68eacbcfcdf049fae4261bf61894a789918649e"
323
+ }
324
+ }
applied/opt02_seenn_bayes/anytime_uniform.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:617f732f2673439369572a52f68eacbcfcdf049fae4261bf61894a789918649e
3
+ size 12645548