junidude14 commited on
Commit
0bbf5b1
·
verified ·
1 Parent(s): dcdef9b

Archive 4 checkpoints (1-4)

Browse files
paper-releases/pbisc-diffusion/updates/20261001T145641Z-lora-rank-sweep-calibration-budget/diffusion/dataset/server_1/model8/plans/paired_finetune_intradataset_20260927/runs/ye2026_sepsis/fold1/lora_r4_n5/RUN.json ADDED
@@ -0,0 +1,106 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "pbisc_sdd.ft_intradataset.run.v1",
3
+ "source_checkpoint": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/runs/f01_6k_1x_seed20260627/checkpoint_epoch_016.pt",
4
+ "source_checkpoint_sha256": "8c7cd0e83e2bc19fe03dfcbc084919a1e2f61be8cc8bc12f4caf543dfda91633",
5
+ "dataset_dir": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ye2026_sepsis",
6
+ "condition_npz": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ye2026_sepsis/conditions_raw_fixed.npz",
7
+ "condition_npz_sha256": "ce8b61d7dcd3e62b9e63d52189cfb5bba881f87a661384277a7949a629231cb4",
8
+ "fold": 1,
9
+ "mode": "lora",
10
+ "trainable": {
11
+ "mode": "lora",
12
+ "lora_layers": [
13
+ "time_encoder.0",
14
+ "time_encoder.2",
15
+ "condition_encoder.0",
16
+ "condition_encoder.3",
17
+ "context_mixer.2",
18
+ "down_blocks.0.input_projection",
19
+ "down_blocks.0.context_projection.1",
20
+ "down_blocks.1.input_projection",
21
+ "down_blocks.1.context_projection.1",
22
+ "down_blocks.2.input_projection",
23
+ "down_blocks.2.context_projection.1",
24
+ "down_blocks.3.input_projection",
25
+ "down_blocks.3.context_projection.1",
26
+ "up_blocks.0.input_projection",
27
+ "up_blocks.0.context_projection.1",
28
+ "up_blocks.1.input_projection",
29
+ "up_blocks.1.context_projection.1",
30
+ "up_blocks.2.input_projection",
31
+ "up_blocks.2.context_projection.1",
32
+ "output_trunk.0",
33
+ "value_head",
34
+ "active_head"
35
+ ],
36
+ "lora_rank": 4,
37
+ "lora_alpha": 4.0,
38
+ "n_trainable": 324056,
39
+ "n_total_base": 54185184,
40
+ "trainable_tensors": 44
41
+ },
42
+ "lr": 0.0005,
43
+ "warmup": 200,
44
+ "batch_size": 256,
45
+ "ema_decay": 0.999,
46
+ "max_steps": 20000,
47
+ "steps_run": 4250,
48
+ "eval_every": 250,
49
+ "patience": 8,
50
+ "train_subset": {
51
+ "train_n": 5,
52
+ "subset_seed": 1001,
53
+ "strata_regex": "sepsis",
54
+ "allocation": {
55
+ "False": 1,
56
+ "True": 4
57
+ }
58
+ },
59
+ "train_donors_file": null,
60
+ "fixed_steps": null,
61
+ "selected_step": 2250,
62
+ "selected_inner_val_loss": 0.11270324460097722,
63
+ "pretrained_inner_val_loss": 0.12158982934696334,
64
+ "train_rows": [
65
+ "Abd-S51",
66
+ "IC23",
67
+ "Res-PS02",
68
+ "Res-PS03",
69
+ "Res-S40"
70
+ ],
71
+ "inner_val_rows": [
72
+ "Abd-S102",
73
+ "Abd-S39",
74
+ "Abd-S57",
75
+ "HC01",
76
+ "IC22",
77
+ "Res-PS21",
78
+ "Uri-S93"
79
+ ],
80
+ "test_rows_never_loaded_for_training": [
81
+ "Abd-PS07",
82
+ "Abd-S120",
83
+ "Abd-S156",
84
+ "HC05",
85
+ "HC13",
86
+ "IC16",
87
+ "PHC01",
88
+ "PIC05",
89
+ "Res-PS12",
90
+ "Res-PS22",
91
+ "Res-S10",
92
+ "Res-S184",
93
+ "Res-S19",
94
+ "Skin-S142",
95
+ "Skin-S46",
96
+ "Skin-S52",
97
+ "Uri-S157"
98
+ ],
99
+ "max_abs_weight_change": 0.29890382289886475,
100
+ "n_tensors_changed": 22,
101
+ "seed": 20260927,
102
+ "wall_seconds": 179.8,
103
+ "written_utc": "2026-10-01T08:02:07.693733+00:00",
104
+ "checkpoint_sha256": "dde7ef3822fc674a9a141bf5c7bc8b4ab5da32b2fc4d675eb515209cdbb2cd9f",
105
+ "reload_forward_max_abs_diff": 0.0
106
+ }
paper-releases/pbisc-diffusion/updates/20261001T145641Z-lora-rank-sweep-calibration-budget/diffusion/dataset/server_1/model8/plans/paired_finetune_intradataset_20260927/runs/ye2026_sepsis/fold1/lora_r4_n5/history.json ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 0,
4
+ "inner_val_loss": 0.12158982934696334,
5
+ "train_loss": null
6
+ },
7
+ {
8
+ "step": 250,
9
+ "inner_val_loss": 0.12103473767638206,
10
+ "train_loss": 0.11218503481149673,
11
+ "sec": 10.7
12
+ },
13
+ {
14
+ "step": 500,
15
+ "inner_val_loss": 0.11916641624910491,
16
+ "train_loss": 0.10771797096729278,
17
+ "sec": 21.3
18
+ },
19
+ {
20
+ "step": 750,
21
+ "inner_val_loss": 0.11697041669062205,
22
+ "train_loss": 0.10716942697763443,
23
+ "sec": 31.8
24
+ },
25
+ {
26
+ "step": 1000,
27
+ "inner_val_loss": 0.1151437024985041,
28
+ "train_loss": 0.10702897307276726,
29
+ "sec": 42.2
30
+ },
31
+ {
32
+ "step": 1250,
33
+ "inner_val_loss": 0.1139329517526286,
34
+ "train_loss": 0.10729214185476303,
35
+ "sec": 52.6
36
+ },
37
+ {
38
+ "step": 1500,
39
+ "inner_val_loss": 0.11325649012412344,
40
+ "train_loss": 0.10705644318461419,
41
+ "sec": 63.1
42
+ },
43
+ {
44
+ "step": 1750,
45
+ "inner_val_loss": 0.1129067667893001,
46
+ "train_loss": 0.10662543639540673,
47
+ "sec": 73.6
48
+ },
49
+ {
50
+ "step": 2000,
51
+ "inner_val_loss": 0.11274821258016995,
52
+ "train_loss": 0.10661385893821716,
53
+ "sec": 84.1
54
+ },
55
+ {
56
+ "step": 2250,
57
+ "inner_val_loss": 0.11270324460097722,
58
+ "train_loss": 0.10694049006700515,
59
+ "sec": 94.5
60
+ },
61
+ {
62
+ "step": 2500,
63
+ "inner_val_loss": 0.11271402505891663,
64
+ "train_loss": 0.10628094705939294,
65
+ "sec": 105.0
66
+ },
67
+ {
68
+ "step": 2750,
69
+ "inner_val_loss": 0.11275695157902581,
70
+ "train_loss": 0.10638178613781929,
71
+ "sec": 115.5
72
+ },
73
+ {
74
+ "step": 3000,
75
+ "inner_val_loss": 0.11280786778245654,
76
+ "train_loss": 0.10673413079977036,
77
+ "sec": 125.7
78
+ },
79
+ {
80
+ "step": 3250,
81
+ "inner_val_loss": 0.11286568854536329,
82
+ "train_loss": 0.10660690847039223,
83
+ "sec": 136.1
84
+ },
85
+ {
86
+ "step": 3500,
87
+ "inner_val_loss": 0.11292219215205737,
88
+ "train_loss": 0.10628915163874626,
89
+ "sec": 146.6
90
+ },
91
+ {
92
+ "step": 3750,
93
+ "inner_val_loss": 0.11298220764313426,
94
+ "train_loss": 0.10624000096321105,
95
+ "sec": 157.2
96
+ },
97
+ {
98
+ "step": 4000,
99
+ "inner_val_loss": 0.11303465494087764,
100
+ "train_loss": 0.10632727071642875,
101
+ "sec": 167.6
102
+ },
103
+ {
104
+ "step": 4250,
105
+ "inner_val_loss": 0.11308170855045319,
106
+ "train_loss": 0.10631052151322365,
107
+ "sec": 178.1
108
+ }
109
+ ]
paper-releases/pbisc-diffusion/updates/20261001T145641Z-lora-rank-sweep-calibration-budget/diffusion/dataset/server_1/model8/plans/paired_finetune_intradataset_20260927/runs/ye2026_sepsis/fold1/lora_r64/RUN.json ADDED
@@ -0,0 +1,151 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "pbisc_sdd.ft_intradataset.run.v1",
3
+ "source_checkpoint": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/runs/f01_6k_1x_seed20260627/checkpoint_epoch_016.pt",
4
+ "source_checkpoint_sha256": "8c7cd0e83e2bc19fe03dfcbc084919a1e2f61be8cc8bc12f4caf543dfda91633",
5
+ "dataset_dir": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ye2026_sepsis",
6
+ "condition_npz": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ye2026_sepsis/conditions_raw_fixed.npz",
7
+ "condition_npz_sha256": "ce8b61d7dcd3e62b9e63d52189cfb5bba881f87a661384277a7949a629231cb4",
8
+ "fold": 1,
9
+ "mode": "lora",
10
+ "trainable": {
11
+ "mode": "lora",
12
+ "lora_layers": [
13
+ "time_encoder.0",
14
+ "time_encoder.2",
15
+ "condition_encoder.0",
16
+ "condition_encoder.3",
17
+ "context_mixer.2",
18
+ "down_blocks.0.input_projection",
19
+ "down_blocks.0.context_projection.1",
20
+ "down_blocks.1.input_projection",
21
+ "down_blocks.1.context_projection.1",
22
+ "down_blocks.2.input_projection",
23
+ "down_blocks.2.context_projection.1",
24
+ "down_blocks.3.input_projection",
25
+ "down_blocks.3.context_projection.1",
26
+ "up_blocks.0.input_projection",
27
+ "up_blocks.0.context_projection.1",
28
+ "up_blocks.1.input_projection",
29
+ "up_blocks.1.context_projection.1",
30
+ "up_blocks.2.input_projection",
31
+ "up_blocks.2.context_projection.1",
32
+ "output_trunk.0",
33
+ "value_head",
34
+ "active_head"
35
+ ],
36
+ "lora_rank": 64,
37
+ "lora_alpha": 64.0,
38
+ "n_trainable": 5184896,
39
+ "n_total_base": 54185184,
40
+ "trainable_tensors": 44
41
+ },
42
+ "lr": 0.0005,
43
+ "warmup": 200,
44
+ "batch_size": 256,
45
+ "ema_decay": 0.999,
46
+ "max_steps": 20000,
47
+ "steps_run": 20000,
48
+ "eval_every": 250,
49
+ "patience": 8,
50
+ "train_subset": null,
51
+ "train_donors_file": null,
52
+ "fixed_steps": null,
53
+ "selected_step": 19500,
54
+ "selected_inner_val_loss": 0.11141214572957583,
55
+ "pretrained_inner_val_loss": 0.12158982934696334,
56
+ "train_rows": [
57
+ "Abd-PS04",
58
+ "Abd-PS05",
59
+ "Abd-PS19",
60
+ "Abd-PS20",
61
+ "Abd-PS23",
62
+ "Abd-PS27",
63
+ "Abd-S103",
64
+ "Abd-S123",
65
+ "Abd-S42",
66
+ "Abd-S47",
67
+ "Abd-S51",
68
+ "Abd-S54",
69
+ "Abd-S66",
70
+ "Abd-S79",
71
+ "Abd-S83",
72
+ "Abd-S98",
73
+ "HC07",
74
+ "HC09",
75
+ "HC12",
76
+ "HC16",
77
+ "IC10",
78
+ "IC15",
79
+ "IC19",
80
+ "IC23",
81
+ "PHC02",
82
+ "PHC03",
83
+ "PHC05",
84
+ "PIC01",
85
+ "PIC02",
86
+ "PIC04",
87
+ "Res-PS02",
88
+ "Res-PS03",
89
+ "Res-PS16",
90
+ "Res-PS25",
91
+ "Res-PS26",
92
+ "Res-S125",
93
+ "Res-S127",
94
+ "Res-S136",
95
+ "Res-S139",
96
+ "Res-S146",
97
+ "Res-S149",
98
+ "Res-S150",
99
+ "Res-S164",
100
+ "Res-S166",
101
+ "Res-S174",
102
+ "Res-S177",
103
+ "Res-S26",
104
+ "Res-S40",
105
+ "Res-S77",
106
+ "Res-S87",
107
+ "Skin-S140",
108
+ "Skin-S152",
109
+ "Skin-S38",
110
+ "Skin-S43",
111
+ "Skin-S74",
112
+ "Uri-S134",
113
+ "Uri-S147",
114
+ "Uri-S20"
115
+ ],
116
+ "inner_val_rows": [
117
+ "Abd-S102",
118
+ "Abd-S39",
119
+ "Abd-S57",
120
+ "HC01",
121
+ "IC22",
122
+ "Res-PS21",
123
+ "Uri-S93"
124
+ ],
125
+ "test_rows_never_loaded_for_training": [
126
+ "Abd-PS07",
127
+ "Abd-S120",
128
+ "Abd-S156",
129
+ "HC05",
130
+ "HC13",
131
+ "IC16",
132
+ "PHC01",
133
+ "PIC05",
134
+ "Res-PS12",
135
+ "Res-PS22",
136
+ "Res-S10",
137
+ "Res-S184",
138
+ "Res-S19",
139
+ "Skin-S142",
140
+ "Skin-S46",
141
+ "Skin-S52",
142
+ "Uri-S157"
143
+ ],
144
+ "max_abs_weight_change": 7.7132182121276855,
145
+ "n_tensors_changed": 22,
146
+ "seed": 20260927,
147
+ "wall_seconds": 797.2,
148
+ "written_utc": "2026-10-01T09:50:41.185821+00:00",
149
+ "checkpoint_sha256": "7be1e523ea46c695a816b21711dfcb4d8a8a7aee6dc0cbf810911c4b3e2fcc5f",
150
+ "reload_forward_max_abs_diff": 0.0
151
+ }
paper-releases/pbisc-diffusion/updates/20261001T145641Z-lora-rank-sweep-calibration-budget/diffusion/dataset/server_1/model8/plans/paired_finetune_intradataset_20260927/runs/ye2026_sepsis/fold1/lora_r64/history.json ADDED
@@ -0,0 +1,487 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "step": 0,
4
+ "inner_val_loss": 0.12158982934696334,
5
+ "train_loss": null
6
+ },
7
+ {
8
+ "step": 250,
9
+ "inner_val_loss": 0.12041118368506432,
10
+ "train_loss": 0.11402918484807015,
11
+ "sec": 9.6
12
+ },
13
+ {
14
+ "step": 500,
15
+ "inner_val_loss": 0.11817953203405653,
16
+ "train_loss": 0.11181281614303588,
17
+ "sec": 19.0
18
+ },
19
+ {
20
+ "step": 750,
21
+ "inner_val_loss": 0.11590350366064481,
22
+ "train_loss": 0.11118001779913902,
23
+ "sec": 28.4
24
+ },
25
+ {
26
+ "step": 1000,
27
+ "inner_val_loss": 0.11417539896709579,
28
+ "train_loss": 0.11109849885106086,
29
+ "sec": 37.6
30
+ },
31
+ {
32
+ "step": 1250,
33
+ "inner_val_loss": 0.11305760539003781,
34
+ "train_loss": 0.11127820935845376,
35
+ "sec": 46.9
36
+ },
37
+ {
38
+ "step": 1500,
39
+ "inner_val_loss": 0.11240743207080024,
40
+ "train_loss": 0.1110396825671196,
41
+ "sec": 56.2
42
+ },
43
+ {
44
+ "step": 1750,
45
+ "inner_val_loss": 0.11205925792455673,
46
+ "train_loss": 0.11096421521902085,
47
+ "sec": 65.6
48
+ },
49
+ {
50
+ "step": 2000,
51
+ "inner_val_loss": 0.11187917792371341,
52
+ "train_loss": 0.11059862372279167,
53
+ "sec": 75.0
54
+ },
55
+ {
56
+ "step": 2250,
57
+ "inner_val_loss": 0.11178879493049212,
58
+ "train_loss": 0.11108759218454362,
59
+ "sec": 84.3
60
+ },
61
+ {
62
+ "step": 2500,
63
+ "inner_val_loss": 0.11173261542405401,
64
+ "train_loss": 0.11080354523658753,
65
+ "sec": 93.7
66
+ },
67
+ {
68
+ "step": 2750,
69
+ "inner_val_loss": 0.11169787123799324,
70
+ "train_loss": 0.1105033415555954,
71
+ "sec": 103.0
72
+ },
73
+ {
74
+ "step": 3000,
75
+ "inner_val_loss": 0.11167197834168162,
76
+ "train_loss": 0.11102445659041404,
77
+ "sec": 112.2
78
+ },
79
+ {
80
+ "step": 3250,
81
+ "inner_val_loss": 0.11166311906916755,
82
+ "train_loss": 0.11041333284974099,
83
+ "sec": 121.4
84
+ },
85
+ {
86
+ "step": 3500,
87
+ "inner_val_loss": 0.11165489416037287,
88
+ "train_loss": 0.1105715773999691,
89
+ "sec": 130.9
90
+ },
91
+ {
92
+ "step": 3750,
93
+ "inner_val_loss": 0.11165506658809525,
94
+ "train_loss": 0.11048037904500961,
95
+ "sec": 140.3
96
+ },
97
+ {
98
+ "step": 4000,
99
+ "inner_val_loss": 0.11165433855993408,
100
+ "train_loss": 0.11053328195214271,
101
+ "sec": 149.7
102
+ },
103
+ {
104
+ "step": 4250,
105
+ "inner_val_loss": 0.11166740794266973,
106
+ "train_loss": 0.11074158769845963,
107
+ "sec": 159.0
108
+ },
109
+ {
110
+ "step": 4500,
111
+ "inner_val_loss": 0.11165890629802432,
112
+ "train_loss": 0.11073636791110039,
113
+ "sec": 168.4
114
+ },
115
+ {
116
+ "step": 4750,
117
+ "inner_val_loss": 0.11165782756039075,
118
+ "train_loss": 0.11059036928415299,
119
+ "sec": 177.6
120
+ },
121
+ {
122
+ "step": 5000,
123
+ "inner_val_loss": 0.11165268612759453,
124
+ "train_loss": 0.11060558086633682,
125
+ "sec": 186.9
126
+ },
127
+ {
128
+ "step": 5250,
129
+ "inner_val_loss": 0.11165569296904973,
130
+ "train_loss": 0.11053350168466568,
131
+ "sec": 196.2
132
+ },
133
+ {
134
+ "step": 5500,
135
+ "inner_val_loss": 0.11167006034936224,
136
+ "train_loss": 0.11037089964747429,
137
+ "sec": 205.4
138
+ },
139
+ {
140
+ "step": 5750,
141
+ "inner_val_loss": 0.11166660008685929,
142
+ "train_loss": 0.11045904293656349,
143
+ "sec": 214.8
144
+ },
145
+ {
146
+ "step": 6000,
147
+ "inner_val_loss": 0.1116590148636273,
148
+ "train_loss": 0.11055724543333054,
149
+ "sec": 224.2
150
+ },
151
+ {
152
+ "step": 6250,
153
+ "inner_val_loss": 0.11165562431727137,
154
+ "train_loss": 0.1101350945532322,
155
+ "sec": 233.4
156
+ },
157
+ {
158
+ "step": 6500,
159
+ "inner_val_loss": 0.11164764155234609,
160
+ "train_loss": 0.11005616039037705,
161
+ "sec": 242.8
162
+ },
163
+ {
164
+ "step": 6750,
165
+ "inner_val_loss": 0.1116510129400662,
166
+ "train_loss": 0.11026029291749001,
167
+ "sec": 252.2
168
+ },
169
+ {
170
+ "step": 7000,
171
+ "inner_val_loss": 0.11165325822574752,
172
+ "train_loss": 0.11055369192361832,
173
+ "sec": 261.6
174
+ },
175
+ {
176
+ "step": 7250,
177
+ "inner_val_loss": 0.11164673204932894,
178
+ "train_loss": 0.11080446395277976,
179
+ "sec": 271.0
180
+ },
181
+ {
182
+ "step": 7500,
183
+ "inner_val_loss": 0.11166565120220184,
184
+ "train_loss": 0.1103289886713028,
185
+ "sec": 280.4
186
+ },
187
+ {
188
+ "step": 7750,
189
+ "inner_val_loss": 0.11165223909275872,
190
+ "train_loss": 0.11034957763552666,
191
+ "sec": 289.6
192
+ },
193
+ {
194
+ "step": 8000,
195
+ "inner_val_loss": 0.11165095599634307,
196
+ "train_loss": 0.11047782167792321,
197
+ "sec": 299.0
198
+ },
199
+ {
200
+ "step": 8250,
201
+ "inner_val_loss": 0.1116339633507388,
202
+ "train_loss": 0.11010267156362534,
203
+ "sec": 308.3
204
+ },
205
+ {
206
+ "step": 8500,
207
+ "inner_val_loss": 0.11161396918552262,
208
+ "train_loss": 0.11045852801203727,
209
+ "sec": 317.6
210
+ },
211
+ {
212
+ "step": 8750,
213
+ "inner_val_loss": 0.11160557291337422,
214
+ "train_loss": 0.11033844983577729,
215
+ "sec": 326.9
216
+ },
217
+ {
218
+ "step": 9000,
219
+ "inner_val_loss": 0.1116096084671361,
220
+ "train_loss": 0.10999458473920821,
221
+ "sec": 336.3
222
+ },
223
+ {
224
+ "step": 9250,
225
+ "inner_val_loss": 0.11161436832376889,
226
+ "train_loss": 0.11066354990005493,
227
+ "sec": 346.1
228
+ },
229
+ {
230
+ "step": 9500,
231
+ "inner_val_loss": 0.11160841424550329,
232
+ "train_loss": 0.11018668696284294,
233
+ "sec": 356.8
234
+ },
235
+ {
236
+ "step": 9750,
237
+ "inner_val_loss": 0.11160499283245631,
238
+ "train_loss": 0.11046769031882286,
239
+ "sec": 367.7
240
+ },
241
+ {
242
+ "step": 10000,
243
+ "inner_val_loss": 0.11159115550773484,
244
+ "train_loss": 0.11030518519878388,
245
+ "sec": 378.7
246
+ },
247
+ {
248
+ "step": 10250,
249
+ "inner_val_loss": 0.11160768781389509,
250
+ "train_loss": 0.11037275275588035,
251
+ "sec": 389.6
252
+ },
253
+ {
254
+ "step": 10500,
255
+ "inner_val_loss": 0.11162308922835759,
256
+ "train_loss": 0.11031968915462494,
257
+ "sec": 400.5
258
+ },
259
+ {
260
+ "step": 10750,
261
+ "inner_val_loss": 0.11162189713546208,
262
+ "train_loss": 0.11000816848874093,
263
+ "sec": 411.3
264
+ },
265
+ {
266
+ "step": 11000,
267
+ "inner_val_loss": 0.11160627486450332,
268
+ "train_loss": 0.10986502048373223,
269
+ "sec": 422.1
270
+ },
271
+ {
272
+ "step": 11250,
273
+ "inner_val_loss": 0.11159427144697734,
274
+ "train_loss": 0.1097747274339199,
275
+ "sec": 433.2
276
+ },
277
+ {
278
+ "step": 11500,
279
+ "inner_val_loss": 0.11158598906227521,
280
+ "train_loss": 0.11019822588562965,
281
+ "sec": 443.9
282
+ },
283
+ {
284
+ "step": 11750,
285
+ "inner_val_loss": 0.11156857120139259,
286
+ "train_loss": 0.11008971917629241,
287
+ "sec": 454.3
288
+ },
289
+ {
290
+ "step": 12000,
291
+ "inner_val_loss": 0.11156724553023066,
292
+ "train_loss": 0.11012019941210746,
293
+ "sec": 464.0
294
+ },
295
+ {
296
+ "step": 12250,
297
+ "inner_val_loss": 0.11156722796814782,
298
+ "train_loss": 0.11012133803963661,
299
+ "sec": 473.3
300
+ },
301
+ {
302
+ "step": 12500,
303
+ "inner_val_loss": 0.1115594245493412,
304
+ "train_loss": 0.11024839374423027,
305
+ "sec": 483.4
306
+ },
307
+ {
308
+ "step": 12750,
309
+ "inner_val_loss": 0.1115702475820269,
310
+ "train_loss": 0.11028153809905052,
311
+ "sec": 494.4
312
+ },
313
+ {
314
+ "step": 13000,
315
+ "inner_val_loss": 0.11156286405665534,
316
+ "train_loss": 0.10972165334224701,
317
+ "sec": 505.3
318
+ },
319
+ {
320
+ "step": 13250,
321
+ "inner_val_loss": 0.11154544353485107,
322
+ "train_loss": 0.10990535053610802,
323
+ "sec": 516.2
324
+ },
325
+ {
326
+ "step": 13500,
327
+ "inner_val_loss": 0.11152802514178413,
328
+ "train_loss": 0.1102272829413414,
329
+ "sec": 527.0
330
+ },
331
+ {
332
+ "step": 13750,
333
+ "inner_val_loss": 0.11152769305876323,
334
+ "train_loss": 0.11021240437030792,
335
+ "sec": 537.9
336
+ },
337
+ {
338
+ "step": 14000,
339
+ "inner_val_loss": 0.1115242216203894,
340
+ "train_loss": 0.11019960063695908,
341
+ "sec": 548.8
342
+ },
343
+ {
344
+ "step": 14250,
345
+ "inner_val_loss": 0.11150673457554408,
346
+ "train_loss": 0.11043874976038932,
347
+ "sec": 559.8
348
+ },
349
+ {
350
+ "step": 14500,
351
+ "inner_val_loss": 0.11149968579411507,
352
+ "train_loss": 0.11010366213321686,
353
+ "sec": 570.7
354
+ },
355
+ {
356
+ "step": 14750,
357
+ "inner_val_loss": 0.11151186642902237,
358
+ "train_loss": 0.11018283197283744,
359
+ "sec": 581.6
360
+ },
361
+ {
362
+ "step": 15000,
363
+ "inner_val_loss": 0.11151814780064992,
364
+ "train_loss": 0.10989471963047981,
365
+ "sec": 592.6
366
+ },
367
+ {
368
+ "step": 15250,
369
+ "inner_val_loss": 0.11151728938732829,
370
+ "train_loss": 0.10995214545726777,
371
+ "sec": 603.5
372
+ },
373
+ {
374
+ "step": 15500,
375
+ "inner_val_loss": 0.11152600071259908,
376
+ "train_loss": 0.10998163193464279,
377
+ "sec": 614.3
378
+ },
379
+ {
380
+ "step": 15750,
381
+ "inner_val_loss": 0.11151519896728652,
382
+ "train_loss": 0.1101327141225338,
383
+ "sec": 625.2
384
+ },
385
+ {
386
+ "step": 16000,
387
+ "inner_val_loss": 0.11151022038289479,
388
+ "train_loss": 0.10973835980892181,
389
+ "sec": 636.2
390
+ },
391
+ {
392
+ "step": 16250,
393
+ "inner_val_loss": 0.11150336531656128,
394
+ "train_loss": 0.10975480189919472,
395
+ "sec": 647.0
396
+ },
397
+ {
398
+ "step": 16500,
399
+ "inner_val_loss": 0.11148502198713166,
400
+ "train_loss": 0.10996474608778954,
401
+ "sec": 656.4
402
+ },
403
+ {
404
+ "step": 16750,
405
+ "inner_val_loss": 0.11147255024739675,
406
+ "train_loss": 0.11027670595049859,
407
+ "sec": 665.7
408
+ },
409
+ {
410
+ "step": 17000,
411
+ "inner_val_loss": 0.11146367873464312,
412
+ "train_loss": 0.11009822005033493,
413
+ "sec": 675.1
414
+ },
415
+ {
416
+ "step": 17250,
417
+ "inner_val_loss": 0.11146841144987515,
418
+ "train_loss": 0.10993632563948631,
419
+ "sec": 684.6
420
+ },
421
+ {
422
+ "step": 17500,
423
+ "inner_val_loss": 0.11145454219409398,
424
+ "train_loss": 0.10979852595925331,
425
+ "sec": 694.5
426
+ },
427
+ {
428
+ "step": 17750,
429
+ "inner_val_loss": 0.11144556158355304,
430
+ "train_loss": 0.11003837215900421,
431
+ "sec": 705.3
432
+ },
433
+ {
434
+ "step": 18000,
435
+ "inner_val_loss": 0.11145464756659099,
436
+ "train_loss": 0.11029168304800988,
437
+ "sec": 716.1
438
+ },
439
+ {
440
+ "step": 18250,
441
+ "inner_val_loss": 0.11144423910549708,
442
+ "train_loss": 0.10982638075947762,
443
+ "sec": 727.1
444
+ },
445
+ {
446
+ "step": 18500,
447
+ "inner_val_loss": 0.11142344347068242,
448
+ "train_loss": 0.10988397869467735,
449
+ "sec": 738.0
450
+ },
451
+ {
452
+ "step": 18750,
453
+ "inner_val_loss": 0.11141979215400559,
454
+ "train_loss": 0.10988210302591324,
455
+ "sec": 748.8
456
+ },
457
+ {
458
+ "step": 19000,
459
+ "inner_val_loss": 0.11141719775540489,
460
+ "train_loss": 0.10977026727795601,
461
+ "sec": 759.3
462
+ },
463
+ {
464
+ "step": 19250,
465
+ "inner_val_loss": 0.11141518929174968,
466
+ "train_loss": 0.10950592172145844,
467
+ "sec": 768.5
468
+ },
469
+ {
470
+ "step": 19500,
471
+ "inner_val_loss": 0.11141214572957583,
472
+ "train_loss": 0.10985396271944046,
473
+ "sec": 777.6
474
+ },
475
+ {
476
+ "step": 19750,
477
+ "inner_val_loss": 0.11143243951456887,
478
+ "train_loss": 0.11028455880284309,
479
+ "sec": 786.8
480
+ },
481
+ {
482
+ "step": 20000,
483
+ "inner_val_loss": 0.11142642849258014,
484
+ "train_loss": 0.1101122091114521,
485
+ "sec": 795.8
486
+ }
487
+ ]