Commit ·
3f9504d
1
Parent(s): 8edf6b8
adding pretrained model to repo
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/config.yaml +319 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_0.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_1.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_10.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_11.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_12.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_13.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_14.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_15.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_16.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_17.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_18.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_19.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_2.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_20.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_21.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_22.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_23.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_24.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_25.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_26.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_27.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_28.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_29.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_3.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_30.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_31.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_32.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_33.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_34.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_35.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_36.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_37.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_38.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_39.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_4.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_40.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_41.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_42.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_43.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_44.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_45.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_46.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_47.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_48.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_49.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_5.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_50.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_51.pt +3 -0
- root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/model_epoch_52.pt +3 -0
root_gnn_dgl/Pretrained_GNN/multiclass_pretrained_model_12/config.yaml
ADDED
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| 1 |
+
Datasets:
|
| 2 |
+
SingleT_schan:
|
| 3 |
+
args:
|
| 4 |
+
buffer_size: 11
|
| 5 |
+
chunks: 100
|
| 6 |
+
file_names: SingleT_schan.root
|
| 7 |
+
fold_var: Number
|
| 8 |
+
label: 8
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| 9 |
+
name: SingleT_schan
|
| 10 |
+
node_branch_names: &id001
|
| 11 |
+
- - jet_pt
|
| 12 |
+
- ele_pt
|
| 13 |
+
- mu_pt
|
| 14 |
+
- ph_pt
|
| 15 |
+
- MET_met
|
| 16 |
+
- - jet_eta
|
| 17 |
+
- ele_eta
|
| 18 |
+
- mu_eta
|
| 19 |
+
- ph_eta
|
| 20 |
+
- 0
|
| 21 |
+
- - jet_phi
|
| 22 |
+
- ele_phi
|
| 23 |
+
- mu_phi
|
| 24 |
+
- ph_phi
|
| 25 |
+
- MET_phi
|
| 26 |
+
- CALC_E
|
| 27 |
+
- - jet_btag
|
| 28 |
+
- 0
|
| 29 |
+
- 0
|
| 30 |
+
- 0
|
| 31 |
+
- 0
|
| 32 |
+
- - 0
|
| 33 |
+
- ele_charge
|
| 34 |
+
- mu_charge
|
| 35 |
+
- 0
|
| 36 |
+
- 0
|
| 37 |
+
- NODE_TYPE
|
| 38 |
+
node_branch_types: &id002
|
| 39 |
+
- vector
|
| 40 |
+
- vector
|
| 41 |
+
- vector
|
| 42 |
+
- vector
|
| 43 |
+
- single
|
| 44 |
+
node_feature_scales: &id003
|
| 45 |
+
- 1e-1
|
| 46 |
+
- 1
|
| 47 |
+
- 1
|
| 48 |
+
- 1e-1
|
| 49 |
+
- 1
|
| 50 |
+
- 1
|
| 51 |
+
- 1
|
| 52 |
+
raw_dir: /global/cfs/projectdirs/atlas/joshua/root_gnn/root_gnn_dgl/data/ntuples/Hyy_pretraining/
|
| 53 |
+
save_dir: /pscratch/sd/j/joshuaho/root_gnn/root_gnn_dgl/data/processed_pretraining_multiclass_12_process/
|
| 54 |
+
tree_name: output
|
| 55 |
+
weight_var: weight
|
| 56 |
+
class: LazyDataset
|
| 57 |
+
folding: &id004
|
| 58 |
+
n_folds: 10
|
| 59 |
+
test:
|
| 60 |
+
- 0
|
| 61 |
+
- 1
|
| 62 |
+
train:
|
| 63 |
+
- 2
|
| 64 |
+
- 3
|
| 65 |
+
- 4
|
| 66 |
+
- 5
|
| 67 |
+
- 6
|
| 68 |
+
- 7
|
| 69 |
+
- 8
|
| 70 |
+
- 9
|
| 71 |
+
module: root_gnn_base.dataset
|
| 72 |
+
padding_mode: NONE
|
| 73 |
+
shuffle_chunks: 10
|
| 74 |
+
VBF:
|
| 75 |
+
args:
|
| 76 |
+
buffer_size: 11
|
| 77 |
+
chunks: 100
|
| 78 |
+
file_names: VBF_NLO_inc.root
|
| 79 |
+
fold_var: Number
|
| 80 |
+
label: 3
|
| 81 |
+
name: VBF
|
| 82 |
+
node_branch_names: *id001
|
| 83 |
+
node_branch_types: *id002
|
| 84 |
+
node_feature_scales: *id003
|
| 85 |
+
raw_dir: /global/cfs/projectdirs/atlas/joshua/root_gnn/root_gnn_dgl/data/ntuples/Hyy_pretraining/
|
| 86 |
+
save_dir: /pscratch/sd/j/joshuaho/root_gnn/root_gnn_dgl/data/processed_pretraining_multiclass_12_process/
|
| 87 |
+
tree_name: output
|
| 88 |
+
weight_var: weight
|
| 89 |
+
class: LazyDataset
|
| 90 |
+
folding: *id004
|
| 91 |
+
module: root_gnn_base.dataset
|
| 92 |
+
padding_mode: NONE
|
| 93 |
+
shuffle_chunks: 10
|
| 94 |
+
WH:
|
| 95 |
+
args:
|
| 96 |
+
buffer_size: 11
|
| 97 |
+
chunks: 100
|
| 98 |
+
file_names: WH_NLO_inc.root
|
| 99 |
+
fold_var: Number
|
| 100 |
+
label: 4
|
| 101 |
+
name: WH
|
| 102 |
+
node_branch_names: *id001
|
| 103 |
+
node_branch_types: *id002
|
| 104 |
+
node_feature_scales: *id003
|
| 105 |
+
raw_dir: /global/cfs/projectdirs/atlas/joshua/root_gnn/root_gnn_dgl/data/ntuples/Hyy_pretraining/
|
| 106 |
+
save_dir: /pscratch/sd/j/joshuaho/root_gnn/root_gnn_dgl/data/processed_pretraining_multiclass_12_process/
|
| 107 |
+
tree_name: output
|
| 108 |
+
weight_var: weight
|
| 109 |
+
class: LazyDataset
|
| 110 |
+
folding: *id004
|
| 111 |
+
module: root_gnn_base.dataset
|
| 112 |
+
padding_mode: NONE
|
| 113 |
+
shuffle_chunks: 10
|
| 114 |
+
ZH:
|
| 115 |
+
args:
|
| 116 |
+
buffer_size: 11
|
| 117 |
+
chunks: 100
|
| 118 |
+
file_names: ZH_NLO_inc.root
|
| 119 |
+
fold_var: Number
|
| 120 |
+
label: 5
|
| 121 |
+
name: ZH
|
| 122 |
+
node_branch_names: *id001
|
| 123 |
+
node_branch_types: *id002
|
| 124 |
+
node_feature_scales: *id003
|
| 125 |
+
raw_dir: /global/cfs/projectdirs/atlas/joshua/root_gnn/root_gnn_dgl/data/ntuples/Hyy_pretraining/
|
| 126 |
+
save_dir: /pscratch/sd/j/joshuaho/root_gnn/root_gnn_dgl/data/processed_pretraining_multiclass_12_process/
|
| 127 |
+
tree_name: output
|
| 128 |
+
weight_var: weight
|
| 129 |
+
class: LazyDataset
|
| 130 |
+
folding: *id004
|
| 131 |
+
module: root_gnn_base.dataset
|
| 132 |
+
padding_mode: NONE
|
| 133 |
+
shuffle_chunks: 10
|
| 134 |
+
ggF:
|
| 135 |
+
args:
|
| 136 |
+
buffer_size: 11
|
| 137 |
+
chunks: 100
|
| 138 |
+
file_names: ggF_NLO_inc.root
|
| 139 |
+
fold_var: Number
|
| 140 |
+
label: 2
|
| 141 |
+
name: ggF
|
| 142 |
+
node_branch_names: *id001
|
| 143 |
+
node_branch_types: *id002
|
| 144 |
+
node_feature_scales: *id003
|
| 145 |
+
raw_dir: /global/cfs/projectdirs/atlas/joshua/root_gnn/root_gnn_dgl/data/ntuples/Hyy_pretraining/
|
| 146 |
+
save_dir: /pscratch/sd/j/joshuaho/root_gnn/root_gnn_dgl/data/processed_pretraining_multiclass_12_process/
|
| 147 |
+
tree_name: output
|
| 148 |
+
weight_var: weight
|
| 149 |
+
class: LazyDataset
|
| 150 |
+
folding: *id004
|
| 151 |
+
module: root_gnn_base.dataset
|
| 152 |
+
padding_mode: NONE
|
| 153 |
+
shuffle_chunks: 10
|
| 154 |
+
tHjb:
|
| 155 |
+
args:
|
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buffer_size: 11
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ttH:
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ttW:
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tttt:
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ttyy:
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module: root_gnn_base.dataset
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args: {}
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class: CrossEntropyLoss
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finish:
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dim: 1
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module: torch.nn
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module: torch.nn
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args:
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dropout: 0
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out_size: 12
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module: models.GCN
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gamma: 0.99
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Training_Directory: trainings/pretraining_multiclass/multiclass_12_process/
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