cyclization9 commited on
Commit
c3a35a2
Β·
verified Β·
1 Parent(s): cc62de9

Delete spurs_multi

Browse files
spurs_multi/.hydra/config.yaml DELETED
@@ -1,115 +0,0 @@
1
- datamodule:
2
- _target_: megascale_multi
3
- batch_size: 1
4
- num_workers: 8
5
- pin_memory: true
6
- alphabet:
7
- name: esm
8
- featurizer: megascale
9
- trainer:
10
- _target_: pytorch_lightning.Trainer
11
- gpus: auto
12
- min_epochs: 1
13
- max_epochs: 200
14
- enable_progress_bar: true
15
- log_every_n_steps: 10
16
- resume_from_checkpoint: null
17
- strategy: ddp_sharded_fbo
18
- precision: 32
19
- gradient_clip_val: 0.0
20
- num_sanity_val_steps: 0
21
- check_val_every_n_epoch: 1
22
- reload_dataloaders_every_n_epochs: 100000
23
- replace_sampler_ddp: false
24
- max_steps: 200000
25
- name: megascale/spurs_multi
26
- model:
27
- _target_: spurs_multi
28
- encoder:
29
- d_model: 128
30
- n_enc_layers: 3
31
- n_dec_layers: 3
32
- tune: true
33
- use_input_decoding_order: true
34
- adapter_layer_indices:
35
- - -3
36
- mlp:
37
- flat_dim: 128
38
- input_dim: 256
39
- hidden_dim: 1024
40
- num_layers: 4
41
- output_dim: 21
42
- dropout: 0.1
43
- multi:
44
- flat_dim: 128
45
- input_dim: 384
46
- hidden_dim: 768
47
- num_layers: 4
48
- output_dim: 1
49
- dropout: 0.1
50
- dropout: 0.5
51
- agg_type: concate
52
- agg_dim: 128
53
- task:
54
- _target_: stability/megascale
55
- criterion:
56
- _target_: spurs.modules.mseloss.MSELoss
57
- optimizer:
58
- type: adamw
59
- _partial_: true
60
- lr: 0.0001
61
- betas:
62
- - 0.9
63
- - 0.98
64
- weight_decay: 0.0001
65
- lr_scheduler:
66
- type: plateau
67
- lr: ${train.lr}
68
- factor: 0.2
69
- mode: min
70
- monitor: val/rho_avg_mse
71
- train:
72
- seed: 49
73
- lr: 0.001
74
- monitor: val/rho_avg_spearman
75
- mode: max
76
- patience: 10
77
- optimized_metric: val/rho_avg_spearman
78
- experiment: mpnn
79
- callbacks:
80
- model_summary:
81
- _target_: pytorch_lightning.callbacks.RichModelSummary
82
- max_depth: -1
83
- model_checkpoint:
84
- _target_: spurs.utils.callbacks.ModelCheckpoint
85
- monitor: ${train.monitor}
86
- mode: ${train.mode}
87
- save_top_k: 1
88
- save_last: true
89
- verbose: true
90
- dirpath: checkpoints
91
- filename: step_{global_step}-${train.monitor}_{${train.monitor}:.2f}
92
- auto_insert_metric_name: false
93
- early_stopping:
94
- _target_: pytorch_lightning.callbacks.EarlyStopping
95
- monitor: ${train.monitor}
96
- mode: ${train.mode}
97
- patience: ${train.patience}
98
- min_delta: 0
99
- check_on_train_epoch_end: false
100
- logger:
101
- tensorboard:
102
- _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
103
- save_dir: tensorboard/
104
- name: null
105
- version: ${name}
106
- log_graph: false
107
- default_hp_metric: true
108
- prefix: ''
109
-
110
- paths:
111
- root_dir: ${oc.env:PROJECT_ROOT}
112
- data_dir: ${paths.root_dir}/data/
113
- log_dir: ${paths.root_dir}/logs/${name}
114
- ckpt_dir: ${paths.log_dir}/checkpoints
115
- psnetdata: ${paths.root_dir}/PSNet/data
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spurs_multi/checkpoints/best.ckpt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:018081b900a77958f67355f0d323dfdc3e18d63f61c8764f0b268e7c1e32080c
3
- size 2697880281
 
 
 
 
spurs_multi/config_tree.log DELETED
@@ -1,118 +0,0 @@
1
- CONFIG
2
- β”œβ”€β”€ datamodule
3
- β”‚ └── _target_: megascale_multi
4
- β”‚ batch_size: 1
5
- β”‚ num_workers: 8
6
- β”‚ pin_memory: true
7
- β”‚ alphabet:
8
- β”‚ name: esm
9
- β”‚ featurizer: megascale
10
- β”‚
11
- β”œβ”€β”€ task
12
- β”‚ └── _target_: stability/megascale
13
- β”‚ criterion:
14
- β”‚ _target_: spurs.modules.mseloss.MSELoss
15
- β”‚ optimizer:
16
- β”‚ type: adamw
17
- β”‚ _partial_: true
18
- β”‚ lr: 0.0001
19
- β”‚ betas:
20
- β”‚ - 0.9
21
- β”‚ - 0.98
22
- β”‚ weight_decay: 0.0001
23
- β”‚ lr_scheduler:
24
- β”‚ type: plateau
25
- β”‚ lr: 0.001
26
- β”‚ factor: 0.2
27
- β”‚ mode: min
28
- β”‚ monitor: val/rho_avg_mse
29
- β”‚
30
- β”œβ”€β”€ model
31
- β”‚ └── _target_: spurs_multi
32
- β”‚ encoder:
33
- β”‚ d_model: 128
34
- β”‚ n_enc_layers: 3
35
- β”‚ n_dec_layers: 3
36
- β”‚ tune: true
37
- β”‚ use_input_decoding_order: true
38
- β”‚ adapter_layer_indices:
39
- β”‚ - -3
40
- β”‚ mlp:
41
- β”‚ flat_dim: 128
42
- β”‚ input_dim: 256
43
- β”‚ hidden_dim: 1024
44
- β”‚ num_layers: 2
45
- β”‚ output_dim: 21
46
- β”‚ dropout: 0.1
47
- β”‚ multi:
48
- β”‚ flat_dim: 128
49
- β”‚ input_dim: 384
50
- β”‚ hidden_dim: 768
51
- β”‚ num_layers: 4
52
- β”‚ output_dim: 1
53
- β”‚ dropout: 0.1
54
- β”‚ dropout: 0.5
55
- β”‚ agg_type: concate
56
- β”‚ agg_dim: 128
57
- β”‚
58
- β”œβ”€β”€ callbacks
59
- β”‚ └── model_summary:
60
- β”‚ _target_: pytorch_lightning.callbacks.RichModelSummary
61
- β”‚ max_depth: -1
62
- β”‚ model_checkpoint:
63
- β”‚ _target_: spurs.utils.callbacks.ModelCheckpoint
64
- β”‚ monitor: val/rho_avg_spearman
65
- β”‚ mode: max
66
- β”‚ save_top_k: 1
67
- β”‚ save_last: true
68
- β”‚ verbose: true
69
- β”‚ dirpath: checkpoints
70
- β”‚ filename: step_{global_step}-val/rho_avg_spearman_{val/rho_avg_spearman:.2f}
71
- β”‚ auto_insert_metric_name: false
72
- β”‚ early_stopping:
73
- β”‚ _target_: pytorch_lightning.callbacks.EarlyStopping
74
- β”‚ monitor: val/rho_avg_spearman
75
- β”‚ mode: max
76
- β”‚ patience: 10
77
- β”‚ min_delta: 0
78
- β”‚ check_on_train_epoch_end: false
79
- β”‚
80
- β”œβ”€β”€ trainer
81
- β”‚ └── _target_: pytorch_lightning.Trainer
82
- β”‚ gpus: auto
83
- β”‚ min_epochs: 1
84
- β”‚ max_epochs: 10
85
- β”‚ enable_progress_bar: true
86
- β”‚ log_every_n_steps: 10
87
- β”‚ resume_from_checkpoint: null
88
- β”‚
89
- β”œβ”€β”€ experiment_path
90
- β”‚ └── /nethome/zli3161/DATA-nash/SPURS/data/checkpoints/spurs_multi
91
- β”œβ”€β”€ ckpt_path
92
- β”‚ └── best.ckpt
93
- β”œβ”€β”€ data_split
94
- β”‚ └── test
95
- β”œβ”€β”€ mode
96
- β”‚ └── predict
97
- β”œβ”€β”€ name
98
- β”‚ └── megascale/spurs_multi
99
- β”œβ”€β”€ train
100
- β”‚ └── seed: 49
101
- β”‚ lr: 0.001
102
- β”‚ monitor: val/rho_avg_spearman
103
- β”‚ mode: max
104
- β”‚ patience: 10
105
- β”‚
106
- β”œβ”€β”€ print_config
107
- β”‚ └── True
108
- β”œβ”€β”€ ignore_warnings
109
- β”‚ └── True
110
- β”œβ”€β”€ seed
111
- β”‚ └── 42
112
- └── paths
113
- └── root_dir: /work/ziang/SPURS
114
- data_dir: /work/ziang/SPURS/data/
115
- log_dir: /nethome/zli3161/DATA-nash/SPURS/data/checkpoints/spurs_multi
116
- ckpt_dir: /nethome/zli3161/DATA-nash/SPURS/data/checkpoints/spurs_multi/checkpoints
117
- psnetdata: /work/ziang/SPURS/PSNet/data
118
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spurs_multi/multi_additive_before_train_result_25.9.25.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:0e7b742b64a73b2591c8c3e8e8c4bd84ed64f90b2d1cca722f62a2339041416b
3
- size 1237735
 
 
 
 
spurs_multi/multi_additive_result_25.9.25.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:b651f102e1d9ad7b2dca84d29c50e9e8cdb593d0b9d2e18a334b40beb8f3254e
3
- size 1237735
 
 
 
 
spurs_multi/multi_result_25.9.25.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:d68f86bb83b1a81923c5583132980ae26ebc9ad8448e7396dc965f5cbbdb4f60
3
- size 1237735