Merge pull request #4 from andreypz/creg-data

Adding weights for c-jet energy regression
cms-data · Oct 30, 2019 · 5fcbcd0 · 5fcbcd0
2 parents 813606e + 0c8bb96
commit 5fcbcd0
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diff --git a/creg_training_2017.pb b/creg_training_2017.pb
diff --git a/creg_training_2017_config.pb b/creg_training_2017_config.pb
@@ -0,0 +1,62 @@
+{
+    "y_mean": 0.9927206635475159, 
+    "Trainable_params": 2833617, 
+    "Nontrainable_params": 8014, 
+    "model_params": {
+        "layers": [
+            1024, 
+            1024, 
+            1024, 
+            512, 
+            256, 
+            128
+        ], 
+        "loss": "HybridLoss", 
+        "optimizer": "Adam", 
+        "name": "ffwd", 
+        "non_neg": false, 
+        "loss_params": {}, 
+        "dropout": 0.1, 
+        "save_best_only": true, 
+        "input_shape": [
+            39
+        ], 
+        "output_shape": null, 
+        "monitor_dir": "/work/ea887128/NN_outputs/charm_long_2017", 
+        "const_output_biases": null, 
+        "activations": [
+            "lrelu", 
+            "lrelu", 
+            "lrelu", 
+            "lrelu", 
+            "lrelu", 
+            "lrelu"
+        ], 
+        "valid_frac": null, 
+        "do_bn0": true, 
+        "optimizer_params": {
+            "lr": 0.001
+        }, 
+        "batch_norm": true
+    }, 
+    "y_std": 0.24718524515628815, 
+    "fit_kwargs": {
+        "epochs": 100, 
+        "steps_per_epoch": 5244
+    }, 
+    "options": {
+        "loss": "HybridLoss", 
+        "features": "Jet_pt,Jet_eta,rho,Jet_mt,Jet_leadTrackPt,Jet_leptonPtRel,Jet_leptonDeltaR,Jet_neHEF,Jet_neEmEF,Jet_vtxPt,Jet_vtxMass,Jet_vtx3dL,Jet_vtxNtrk,Jet_vtx3deL,Jet_numDaughters_pt03,Jet_chEmEF,Jet_chHEF,Jet_ptd,Jet_mass,Jet_energyRing_dR0_em_Jet_rawEnergy,Jet_energyRing_dR1_em_Jet_rawEnergy,Jet_energyRing_dR2_em_Jet_rawEnergy,Jet_energyRing_dR3_em_Jet_rawEnergy,Jet_energyRing_dR4_em_Jet_rawEnergy,Jet_energyRing_dR0_neut_Jet_rawEnergy,Jet_energyRing_dR1_neut_Jet_rawEnergy,Jet_energyRing_dR2_neut_Jet_rawEnergy,Jet_energyRing_dR3_neut_Jet_rawEnergy,Jet_energyRing_dR4_neut_Jet_rawEnergy,Jet_energyRing_dR0_ch_Jet_rawEnergy,Jet_energyRing_dR1_ch_Jet_rawEnergy,Jet_energyRing_dR2_ch_Jet_rawEnergy,Jet_energyRing_dR3_ch_Jet_rawEnergy,Jet_energyRing_dR4_ch_Jet_rawEnergy,Jet_energyRing_dR0_mu_Jet_rawEnergy,Jet_energyRing_dR1_mu_Jet_rawEnergy,Jet_energyRing_dR2_mu_Jet_rawEnergy,Jet_energyRing_dR3_mu_Jet_rawEnergy,Jet_energyRing_dR4_mu_Jet_rawEnergy", 
+        "out_dir": "/work/ea887128/NN_outputs/charm_long_2017", 
+        "inp_dir": "/work/ea887128/created_hd5", 
+        "inp_files": "TT_2017_big_RegressionPerJet_nanoAOD_2018_JECv8_0charm.hd5", 
+        "hparams": null, 
+        "batch_size": 1024, 
+        "epochs": 100, 
+        "seed": 98543, 
+        "nkfolds": 5, 
+        "normalize_target": true, 
+        "x_val": false, 
+        "inp_file_valid": "TT_2017_small_RegressionPerJet_nanoAOD_2018_JECv8_0charm.hd5"
+    }
+}