summaryrefslogtreecommitdiff
path: root/results/ep_bias/s0/innovation-cal64-e10-n10k-r0p1-p0p5-s1988.json
diff options
context:
space:
mode:
Diffstat (limited to 'results/ep_bias/s0/innovation-cal64-e10-n10k-r0p1-p0p5-s1988.json')
-rw-r--r--results/ep_bias/s0/innovation-cal64-e10-n10k-r0p1-p0p5-s1988.json184
1 files changed, 184 insertions, 0 deletions
diff --git a/results/ep_bias/s0/innovation-cal64-e10-n10k-r0p1-p0p5-s1988.json b/results/ep_bias/s0/innovation-cal64-e10-n10k-r0p1-p0p5-s1988.json
new file mode 100644
index 0000000..1da2034
--- /dev/null
+++ b/results/ep_bias/s0/innovation-cal64-e10-n10k-r0p1-p0p5-s1988.json
@@ -0,0 +1,184 @@
+{
+ "schema": "rain_ep_structured_bias_screen_v1",
+ "author": {
+ "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+ "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+ },
+ "protocol": {
+ "dataset": "FashionMNIST",
+ "network": "author ConvHopfieldEnergy28 32-64-10",
+ "algorithm": "positive equilibrium propagation",
+ "mode": "innovation",
+ "bias_ratio": 0.1,
+ "predictor_rate": 0.5,
+ "neutral_cadence": 1,
+ "calibration_batches": 64,
+ "calibration_observations": 64,
+ "calibration_seconds": 4.21977424621582,
+ "epochs": 10,
+ "train_limit": 10000,
+ "test_limit": 2000,
+ "batch_size": 128,
+ "training_iterations": 12,
+ "inference_iterations": 30,
+ "seed": 1988,
+ "device": "cuda",
+ "autodiff_used_for_learning": false
+ },
+ "metrics": [
+ {
+ "epoch": 1,
+ "train_accuracy": 0.3568,
+ "train_cost": 0.40365655641555787,
+ "test_accuracy": 0.5355,
+ "test_cost": 0.33721920490264895,
+ "corrector": {
+ "step": 78,
+ "bias_rms": 0.32623520428743413,
+ "residual_bias_rms": 0.0003058934436845645,
+ "neutral_observations": 143
+ },
+ "wall_seconds": 15.673678159713745
+ },
+ {
+ "epoch": 2,
+ "train_accuracy": 0.5438,
+ "train_cost": 0.325913426733017,
+ "test_accuracy": 0.569,
+ "test_cost": 0.3160506935119629,
+ "corrector": {
+ "step": 157,
+ "bias_rms": 0.3278190861390098,
+ "residual_bias_rms": 0.0006422586917601834,
+ "neutral_observations": 222
+ },
+ "wall_seconds": 27.016461849212646
+ },
+ {
+ "epoch": 3,
+ "train_accuracy": 0.5822,
+ "train_cost": 0.31141259717941283,
+ "test_accuracy": 0.5555,
+ "test_cost": 0.3131558494567871,
+ "corrector": {
+ "step": 236,
+ "bias_rms": 0.32959871584392264,
+ "residual_bias_rms": 0.0026105878059435117,
+ "neutral_observations": 301
+ },
+ "wall_seconds": 38.35605311393738
+ },
+ {
+ "epoch": 4,
+ "train_accuracy": 0.5977,
+ "train_cost": 0.30243987579345705,
+ "test_accuracy": 0.6235,
+ "test_cost": 0.29992807960510254,
+ "corrector": {
+ "step": 315,
+ "bias_rms": 0.3255362988399711,
+ "residual_bias_rms": 0.0008386169230747296,
+ "neutral_observations": 380
+ },
+ "wall_seconds": 49.70830178260803
+ },
+ {
+ "epoch": 5,
+ "train_accuracy": 0.6037,
+ "train_cost": 0.29805392880439757,
+ "test_accuracy": 0.6205,
+ "test_cost": 0.2922749881744385,
+ "corrector": {
+ "step": 394,
+ "bias_rms": 0.3270434109858132,
+ "residual_bias_rms": 0.0003297996560805246,
+ "neutral_observations": 459
+ },
+ "wall_seconds": 61.079461336135864
+ },
+ {
+ "epoch": 6,
+ "train_accuracy": 0.6161,
+ "train_cost": 0.2903678087234497,
+ "test_accuracy": 0.594,
+ "test_cost": 0.2984462175369263,
+ "corrector": {
+ "step": 473,
+ "bias_rms": 0.3279944185118071,
+ "residual_bias_rms": 0.0010317249018418713,
+ "neutral_observations": 538
+ },
+ "wall_seconds": 72.47803997993469
+ },
+ {
+ "epoch": 7,
+ "train_accuracy": 0.6268,
+ "train_cost": 0.28524790496826175,
+ "test_accuracy": 0.62,
+ "test_cost": 0.2953354959487915,
+ "corrector": {
+ "step": 552,
+ "bias_rms": 0.32508234497085964,
+ "residual_bias_rms": 0.000402239431567813,
+ "neutral_observations": 617
+ },
+ "wall_seconds": 83.87157440185547
+ },
+ {
+ "epoch": 8,
+ "train_accuracy": 0.6241,
+ "train_cost": 0.28665888571739195,
+ "test_accuracy": 0.5865,
+ "test_cost": 0.30451641178131106,
+ "corrector": {
+ "step": 631,
+ "bias_rms": 0.3215948223491,
+ "residual_bias_rms": 0.001195856749767784,
+ "neutral_observations": 696
+ },
+ "wall_seconds": 95.33216047286987
+ },
+ {
+ "epoch": 9,
+ "train_accuracy": 0.6231,
+ "train_cost": 0.28508677973747254,
+ "test_accuracy": 0.6315,
+ "test_cost": 0.27816396999359133,
+ "corrector": {
+ "step": 710,
+ "bias_rms": 0.3183335932172959,
+ "residual_bias_rms": 0.002652679784133837,
+ "neutral_observations": 775
+ },
+ "wall_seconds": 106.76524424552917
+ },
+ {
+ "epoch": 10,
+ "train_accuracy": 0.6377,
+ "train_cost": 0.2754653572559357,
+ "test_accuracy": 0.5595,
+ "test_cost": 0.3280595178604126,
+ "corrector": {
+ "step": 789,
+ "bias_rms": 0.32612410406317766,
+ "residual_bias_rms": 0.0003998780642494185,
+ "neutral_observations": 854
+ },
+ "wall_seconds": 118.15158224105835
+ }
+ ],
+ "final": {
+ "epoch": 10,
+ "train_accuracy": 0.6377,
+ "train_cost": 0.2754653572559357,
+ "test_accuracy": 0.5595,
+ "test_cost": 0.3280595178604126,
+ "corrector": {
+ "step": 789,
+ "bias_rms": 0.32612410406317766,
+ "residual_bias_rms": 0.0003998780642494185,
+ "neutral_observations": 854
+ },
+ "wall_seconds": 118.15158224105835
+ }
+}