huanz

Huanz's group workspace

Group: composer_id-ASAP-musicxml-sequence-REMI-bpe4

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of 8

Tags

Notes

Author

huanz

State

Finished

Start time

March 8th, 2023 11:32:30 PM

Runtime

14m 32s

Tracked hours

14m 22s

Run path

huanz/symrep/t4cfun0s

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-musicxml-sequence-fold7" 7e0c86b8c3c48706312f7f33b136109d8f244962

Command

/homes/hz009/Research/SymRep/experiments/train.py experiment.fold_idx=7 experiment.grouped=1 experiment.dataset=ASAP experiment.symrep=sequence experiment.input_format=musicxml experiment.lr=1e-5 sequence.mid_encoding=REMI experiment.device=[7] experiment.batch_size=4 sequence.BPE=4 sequence.max_seq_len=1000

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-musicxml-sequence-REMI-bpe4

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 69 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-g77vev0k:v19"
- cfg/experiment/batch_size:
  4
- cfg/experiment/checkpoint_dir:
  "checkpoints/composer_id-ASAP-musicxml-sequence-fold7"
- cfg/experiment/checkpoint_file:
  "checkpoints/composer_id-ASAP-musicxml-sequence-fold7/epoch=49-step=1850.ckpt"
- cfg/experiment/data_save_dir:
  "/import/c4dm-datasets-ext/symrep_assets/sequence/ASAP/musicxml"
- cfg/experiment/dataset:
  "ASAP"
- ▶
  cfg/experiment/device:[] 1 item
  - 0:
    7
- 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-sequence-fold7"
- cfg/experiment/feat_level:
  0
- cfg/experiment/fold_idx:
  7
- cfg/experiment/group_name:
  "composer_id-ASAP-musicxml-sequence-REMI-bpe4"
- cfg/experiment/grouped:
  1
- cfg/experiment/input_format:
  "musicxml"
- cfg/experiment/load_data:
  true
- cfg/experiment/load_model:
  false
- cfg/experiment/lr:
  0.00001
- cfg/experiment/lr_gamma:
  0.99
- cfg/experiment/random_seed:
  13
- cfg/experiment/restore_training:
  false
- cfg/experiment/symrep:
  "sequence"
- 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:
  2
- 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:
  600
- cfg/matrix/save_dir:
  "fix_time-(4|300|60|180)-600-0"
- 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:{} 13 keys

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 19 keys
- epoch:
  80
- ▶
  graph_0:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/graph_0_summary_172ac28c777fc0633708.graph.json"
  - sha256:
    "172ac28c777fc0633708de240c69dc312d29e511224826463ebd0eea08082750"
  - size:
    7,282
- lr-Adam:
  0.00000452043650266475
- test_acc:
  0.4545454680919647
- test_auroc:
  0.5499203205108643
- test_fscore:
  0.14120370149612427
- train_acc_epoch:
  0.9937106966972352
- train_acc_step:
  1
- train_auroc_epoch:
  0.9166666865348816
- train_auroc_step:
  0.1666666716337204
- train_fscore_epoch:
  0.8990195989608765
- train_fscore_step:
  0.1666666716337204
- train_loss_epoch:
  0.50965815782547
- train_loss_step:
  0.3755378723144531
- trainer/global_step:
  3,200
- val_acc:
  0.5454545617103577
- val_auroc:
  0.4813426733016968
- val_fscore:
  0.17142857611179352
- val_loss:
  1.7944830656051636

This run consumed these artifacts as inputs. Learn more

job

job-https___github.com_anusfoil_SymRep.git_experiments_train.py:v91

This run produced these artifacts as outputs. Total: 8. Learn more