huanz

Huanz's group workspace

Group: composer_id-ASAP-musicxml-matrix-res400-chl2

1-8

of 8

Tags

Notes

Author

huanz

State

Finished

Start time

March 2nd, 2023 8:11:34 PM

Runtime

13m 17s

Tracked hours

13m 5s

Run path

huanz/symrep/p63vllwy

Linux-3.10.0-1160.11.1.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-musicxml-matrix-fold7" c7dd1c7c5254b6315bb6bdbdebdf16a9a0aac1b2

Command

/homes/hz009/Research/SymRep/experiments/train.py experiment.fold_idx=7 experiment.grouped=1 experiment.dataset=ASAP experiment.input_format=musicxml matrix.resolution=400 experiment.device=[0] experiment.batch_size=20

System Hardware

CPU count	40
Logical CPU count	80
GPU count	3
GPU type	Quadro RTX 6000

W&B CLI Version

0.13.10

Group

composer_id-ASAP-musicxml-matrix-res400-chl2

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 66 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-35lc0sy2:v9'"
- cfg/experiment/batch_size:
  20
- cfg/experiment/checkpoint_dir:
  "checkpoints/composer_id-ASAP-musicxml-matrix-fold7"
- cfg/experiment/checkpoint_file:
  "checkpoints/composer_id-ASAP-musicxml-matrix-fold7/epoch=49-step=1850.ckpt"
- cfg/experiment/data_save_dir:
  "/import/c4dm-datasets-ext/symrep_assets/matrix/ASAP/musicxml"
- cfg/experiment/dataset:
  "ASAP"
- ▶
  cfg/experiment/device:[] 1 item
  - 0:
    0
- cfg/experiment/emb_dim:
  32
- cfg/experiment/epoch:
  300
- cfg/experiment/es_patience:
  60
- cfg/experiment/es_threshold:
  0.005
- cfg/experiment/exp_name:
  "composer_id-ASAP-musicxml-matrix-fold7"
- cfg/experiment/feat_level:
  0
- cfg/experiment/fold_idx:
  7
- cfg/experiment/group_name:
  "composer_id-ASAP-musicxml-matrix-res400-chl2"
- cfg/experiment/grouped:
  1
- cfg/experiment/input_format:
  "musicxml"
- cfg/experiment/load_data:
  true
- cfg/experiment/load_model:
  false
- cfg/experiment/lr:
  0.0001
- cfg/experiment/lr_gamma:
  0.99
- cfg/experiment/random_seed:
  13
- cfg/experiment/restore_training:
  false
- cfg/experiment/symrep:
  "matrix"
- cfg/experiment/task:
  "composer_id"
- ▶
  cfg/graph/basic_edges:[] 7 items
- cfg/graph/bi_dir:
  true
- cfg/graph/conv_type:
  "SAGEConv"
- cfg/graph/hid_dim:
  256
- cfg/graph/homo:
  0
- cfg/graph/mid_window:
  0.03
- cfg/graph/n_layers:
  3
- cfg/matrix/bins:
  131
- cfg/matrix/n_channels:
  2
- ▶
  cfg/matrix/res_layers:[] 4 items
  - 0:
    1
  - 1:
    1
  - 2:
    1
  - 3:
    1
- cfg/matrix/resolution:
  400
- cfg/matrix/save_dir:
  "fix_time-(4|300|60|180)-400-0"
- cfg/segmentation/seg_beat:
  180
- cfg/segmentation/seg_num:
  4
- cfg/segmentation/seg_size:
  300
- model_backend:
  null
- model_frontend:
  null
- ▶
  segmentation:{} 5 keys
- ▶
  sequence:{} 10 keys

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 19 keys
- epoch:
  90
- ▶
  graph_0:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/graph_0_summary_ec469e751d00ed28cb90.graph.json"
  - sha256:
    "ec469e751d00ed28cb907e176a649a8cbad2d7fd2795160d6bdf8661889efcc0"
  - size:
    4,703
- lr-Adam:
  0.00004088201744225496
- test_acc:
  0.5757575631141663
- test_auroc:
  0.5560723543167114
- test_fscore:
  0.1704545617103577
- train_acc_epoch:
  0.8993710875511169
- train_acc_step:
  0.8999999761581421
- train_auroc_epoch:
  0.9166666865348816
- train_auroc_step:
  0.6666666865348816
- train_fscore_epoch:
  0.5362850427627563
- train_fscore_step:
  0.46581199765205383
- train_loss_epoch:
  0.6410754919052124
- train_loss_step:
  0.8720488548278809
- trainer/global_step:
  720
- val_acc:
  0.3181818127632141
- val_auroc:
  0.4330030679702759
- val_fscore:
  0.06084655970335007
- val_loss:
  2.619784116744995

This run consumed these artifacts as inputs. Learn more

job

job-https___github.com_anusfoil_SymRep.git_experiments_train.py:v44

This run produced these artifacts as outputs. Learn more

run-p63vllwy-history:v0