updated example-nnpdf41.yml -- baseline 26/03/13

Author: Kamil Laurent

n3fit/runcards/example-nnpdf41.yml

@@ -2,7 +2,7 @@
 # Configuration file for n3fit
 #
 ######################################################################################
-description: Runcard for the NNPDF4.1 series of fits; WIP
+description: Runcard for the NNPDF4.1 series of fits -- baseline 26-03-13; WIP
 
 ######################################################################################
 dataset_inputs:
@@ -109,7 +109,7 @@ dataset_inputs:
 diagonal_frac: 0.75
 
 datacuts:
-  t0pdfset: 260202-jk-nnpdf41-mhou
+  t0pdfset: 260313_kl_nnpdf41_hyopt
   q2min: 3.49
   w2min: 12.5
 
@@ -118,48 +118,43 @@ theory:
 
 theorycovmatconfig:
   point_prescriptions: [7 point]
-  pdf: 260202-jk-nnpdf41-mhou
+  pdf: 260313_kl_nnpdf41_hyopt
   use_thcovmat_in_fitting: true
   use_thcovmat_in_sampling: true
 
-trvlseed: 130582403
-nnseed: 953262798
-mcseed: 1437981271
+trvlseed: 1622480574
+nnseed: 2099188724
+mcseed: 440487600
 genrep: true
+
+trial_specs:
+  hyperscan: 260204-jcm-hyperopt
+  thermalization: 400
+  number_of_trials: 10
+
 parameters: # This defines the parameter dictionary that is passed to the Model Trainer
-  nodes_per_layer: [70, 50, 25, 20, 9]
-  activation_per_layer: [tanh, tanh, tanh, tanh, linear]
-  initializer: glorot_normal
-  optimizer:
-    clipnorm: 6.073e-6
-    learning_rate: 2.621e-3
-    optimizer_name: Nadam
-  epochs: 27000
   positivity:
     initial: 184.8
     multiplier:
   integrability:
     initial: 10
     multiplier:
-  stopping_patience: 0.1
-  layer_type: dense
-  dropout: 0.0
   threshold_chi2: 3.5
   feature_scaling_points: 5
 
 fitting:
   fitbasis: CCBAR_ASYMM  # EVOL (7), EVOLQED (8), etc.
   savepseudodata: true
   basis:
-  - {fl: sng, trainable: false, smallx: [1.058, 1.155]}
-  - {fl: g, trainable: false, smallx: [0.9017, 1.084]}
-  - {fl: v, trainable: false, smallx: [0.481, 0.6499]}
-  - {fl: v3, trainable: false, smallx: [0.08225, 0.502]}
-  - {fl: v8, trainable: false, smallx: [0.5823, 0.7928]}
-  - {fl: t3, trainable: false, smallx: [-0.3987, 0.9689]}
-  - {fl: t8, trainable: false, smallx: [0.6077, 0.9459]}
-  - {fl: t15, trainable: false, smallx: [1.023, 1.147]}
-  - {fl: v15, trainable: false, smallx: [0.5005, 0.7189]}
+  - {fl: sng, trainable: false, smallx: [1.023, 1.153]}
+  - {fl: g, trainable: false, smallx: [0.8591, 1.148]}
+  - {fl: v, trainable: false, smallx: [0.4141, 0.6628]}
+  - {fl: v3, trainable: false, smallx: [0.09623, 0.5375]}
+  - {fl: v8, trainable: false, smallx: [0.5572, 0.7787]}
+  - {fl: t3, trainable: false, smallx: [-0.559, 1.0]}
+  - {fl: t8, trainable: false, smallx: [0.5409, 0.9899]}
+  - {fl: t15, trainable: false, smallx: [1.044, 1.148]}
+  - {fl: v15, trainable: false, smallx: [0.4547, 0.7577]}
 
 ################################################################################
 positivity: