[recipes] tth: updates model description

recipes/tth.py

@@ -981,7 +981,12 @@ class Processor(common.DNNBase, Base, Histogramer):
     jes_shifts = True
     dataset_shifts = True
     memory = "3000MiB" if jes_shifts else "2500MiB"
-    dnn_model = "/net/scratch/cms/dihiggs/store/bbww_sl/MulticlassStitched/prod34/export_version_0/training_version_paper_1_1/lbn_particles_12/ResNet/jump_2/layers_3/nodes_256/activation_relu/batch_norm_1/dropout_0.0/l2_1e-08/lossdef_default/optimizer_adam/learning_rate_1.00e-03/default_7/years_2016_2017_2018/model_default/cw_0p125_0p125_1_1_1_1_1/model"  # https://git.rwth-aachen.de/3pia/cms_analyses/common/-/issues/294
+    """
+    DNN Model
+    - Training: https://git.rwth-aachen.de/3pia/cms_analyses/common/-/issues/294
+    - Upload: https://gitlab.cern.ch/cms-hh-bbww/ml-models/-/tree/master/models/multi-classification/dnn/SL/02
+    """
+    dnn_model = "/net/scratch/cms/dihiggs/store/bbww_sl/MulticlassStitched/prod34/export_version_0/training_version_paper_1_1/lbn_particles_12/ResNet/jump_2/layers_3/nodes_256/activation_relu/batch_norm_1/dropout_0.0/l2_1e-08/lossdef_default/optimizer_adam/learning_rate_1.00e-03/default_7/years_2016_2017_2018/model_default/cw_0p125_0p125_1_1_1_1_1/model"
     skip_cats = set()
 
     # debug_dataset = "GluGluToHHTo2B2VLNu2J_node_cHHH1"