huanz

Huanz's group workspace

Group: composer_id-ASAP-perfmidi-graph-biFalse-ho0

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Tags

Notes

Author

huanz

State

Finished

Start time

March 23rd, 2023 7:03:41 PM

Runtime

5h 12m 47s

Tracked hours

5h 12m 38s

Run path

huanz/symrep/kb4pqdwe

Linux-3.10.0-1160.53.1.el7.x86_64-x86_64-with-glibc2.17

Python version

3.9.7

Git repository

git clone https://github.com/anusfoil/SymRep.git

Git state

git checkout -b "composer_id-ASAP-perfmidi-graph-fold7" 7e0c86b8c3c48706312f7f33b136109d8f244962

Command

/homes/hz009/Research/SymRep/experiments/train.py experiment.fold_idx=7 experiment.grouped=1 experiment.dataset=ASAP experiment.symrep=graph experiment.epoch=500 experiment.input_format=perfmidi experiment.batch_size=60 experiment.lr=0.00015 experiment.device=5 graph.bi_dir=False graph.homo=0

System Hardware

CPU count	48
Logical CPU count	96
GPU count	8
GPU type	NVIDIA RTX A5000

W&B CLI Version

0.13.10

Group

composer_id-ASAP-perfmidi-graph-biFalse-ho0

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 74 keys
- cfg/dataset/ASAP/dataset_dir:
  "/homes/hz009/Research/Datasets/asap-dataset/"
- cfg/dataset/ASAP/metadata_file:
  "/homes/hz009/Research/Datasets/asap-dataset/metadata-v1.3.csv"
- cfg/dataset/ATEPP/dataset_dir:
  "/homes/hz009/Research/Datasets/ATEPP-1.1/"
- cfg/dataset/ATEPP/metadata_file:
  "/homes/hz009/Research/Datasets/ATEPP-1.1/ATEPP-metadata-1.5.csv"
- cfg/dataset/PD/dataset_dir:
  "/homes/hz009/Research/Datasets/piano_difficulty/"
- cfg/dataset/PD/metadata_file:
  "/homes/hz009/Research/Datasets/piano_difficulty/labels.csv"
- cfg/experiment/artifact_dir:
  "huanz/symrep/model-6gg9q4u6:v11"
- cfg/experiment/batch_size:
  60
- cfg/experiment/checkpoint_dir:
  "checkpoints/composer_id-ASAP-perfmidi-graph-fold7"
- cfg/experiment/checkpoint_file:
  "checkpoints/composer_id-ASAP-perfmidi-graph-fold7/epoch=49-step=1850.ckpt"
- cfg/experiment/data_save_dir:
  "/import/c4dm-datasets-ext/symrep_assets/graph/ASAP/perfmidi"
- cfg/experiment/dataset:
  "ASAP"
- cfg/experiment/device:
  5
- cfg/experiment/emb_dim:
  32
- cfg/experiment/epoch:
  500
- cfg/experiment/es_patience:
  60
- cfg/experiment/es_threshold:
  0.005
- cfg/experiment/exp_name:
  "composer_id-ASAP-perfmidi-graph-fold7"
- cfg/experiment/feat_level:
  0
- cfg/experiment/fold_idx:
  7
- cfg/experiment/group_name:
  "composer_id-ASAP-perfmidi-graph-biFalse-ho0"
- cfg/experiment/grouped:
  1
- cfg/experiment/input_format:
  "perfmidi"
- cfg/experiment/load_data:
  true
- cfg/experiment/load_model:
  false
- cfg/experiment/lr:
  0.00015
- cfg/experiment/lr_gamma:
  0.998
- cfg/experiment/random_seed:
  13
- cfg/experiment/restore_training:
  false
- cfg/experiment/symrep:
  "graph"
- cfg/experiment/task:
  "composer_id"
- cfg/experiment/testing_only:
  false
- cfg/experiment/tmp:
  false
- ▶
  cfg/graph/basic_edges:[] 7 items
- cfg/graph/bi_dir:
  false
- cfg/graph/conv_type:
  "SAGEConv"
- cfg/graph/dropout:
  0
- cfg/graph/edge_agg:
  "sum"
- cfg/graph/hid_dim:
  64
- cfg/graph/homo:
  0
- cfg/graph/mid_window:
  0.03
- cfg/graph/n_layers:
  4
- cfg/graph/sage_agg:
  "lstm"
- cfg/matrix/bins:
  131
- cfg/matrix/n_channels:
  1
- ▶
  cfg/matrix/res_layers:[] 4 items
  - 0:
    1
  - 1:
    1
  - 2:
    1
  - 3:
    1
- model_backend:
  null
- model_frontend:
  null
- ▶
  segmentation:{} 5 keys
- ▶
  sequence:{} 13 keys

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 19 keys
- epoch:
  499
- ▶
  graph_0:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/graph_0_summary_e8b19d50a2ac449efeab.graph.json"
  - sha256:
    "e8b19d50a2ac449efeabf93b36d10cb8ae4fc379903f36f456731ef20edc8613"
  - size:
    13,232
- lr-Adam:
  0.00005534785827022168
- test_acc:
  0.84112149477005
- test_auroc:
  0.8863779902458191
- test_fscore:
  0.6399781703948975
- train_acc_epoch:
  0.9848197102546692
- train_acc_step:
  0.9666666388511658
- train_auroc_epoch:
  0.9090163707733154
- train_auroc_step:
  0.9090909361839294
- train_fscore_epoch:
  0.8694018125534058
- train_fscore_step:
  0.8125
- train_loss_epoch:
  0.08427754044532776
- train_loss_step:
  0.10737786442041396
- trainer/global_step:
  4,491
- val_acc:
  0.8133333325386047
- val_auroc:
  0.8857364654541016
- val_fscore:
  0.49302610754966736
- val_loss:
  0.5329055786132812

This run consumed these artifacts as inputs. Learn more

job

job-https___github.com_anusfoil_SymRep.git_experiments_train.py:v139

This run produced these artifacts as outputs. Learn more

wandb-history

run-kb4pqdwe-history:v0