JLrumberger commited on
Commit
849b591
1 Parent(s): bbffdb2

Add model checkpoints and params

Browse files
lizard_convnextv2_base/liz_test_param_dict.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"best_fg_lizard": [0.7, 0.6, 0.6, 0.6, 0.6, 0.5, 0.9],
2
+ "best_seed_lizard": [0.5, 0.6, 0.5, 0.5, 0.7, 0.4, 0.1],
3
+ "best_fg_f1": [0.6, 0.7, 0.5, 0.4, 0.7, 0.2, 0.1],
4
+ "best_seed_f1": [0.4, 0.6, 0.5, 0.1, 0.7, 0.4, 0.1]}
lizard_convnextv2_base/mit_test_param_dict.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"best_fg_lizard": [0.3, 0.6, 0.7, 0.7, 0.4, 0.6, 0.4],
2
+ "best_seed_lizard": [0.2, 0.6, 0.4, 0.1, 0.2, 0.6, 0.1],
3
+ "best_fg_f1": [0.2, 0.6, 0.5, 0.4, 0.5, 0.4, 0.5],
4
+ "best_seed_f1": [0.3, 0.5, 0.4, 0.1, 0.2, 0.5, 0.1]}
lizard_convnextv2_base/params.toml ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset = "lizard"
2
+ data_path_liz = ""
3
+ data_path_mit = ""
4
+ hard_labels = ""
5
+ encoder = "convnextv2_base.fcmae_ft_in22k_in1k"
6
+ out_channels_cls = 8
7
+ inst_channels = 5
8
+ pretrained = true
9
+ batch_size = 24
10
+ validation_batch_size = 64
11
+ weight_decay = 0.0001
12
+ learning_rate = 0.0001
13
+ min_learning_rate = 1e-8
14
+ training_steps = 200000
15
+ validation_step = 1000
16
+ checkpoint_step = 10000
17
+ fl_gamma = 2
18
+ loss_lambda = 0.02
19
+ tta = 16
20
+ eval_optim_metric = "mpq"
21
+ n_rounds = 5
22
+ save = false
23
+ f1_metric_ccrop = 248
24
+ match_euc_dist = 6
25
+ eval_criteria = "lizard|alt"
26
+ max_hole_size = 50
27
+ checkpoint_path = ""
28
+ experiment = "convnextv2_base_focal_fulldata_0"
29
+ seed = 42
30
+ fold = 0
31
+ test_as_val = true
32
+ optim_metric = "mpq"
33
+ num_workers = 4
34
+ use_amp = true
35
+ color_scale = 0.2
36
+
37
+ [aug_params_fast.mirror]
38
+ prob_x = 0.5
39
+ prob_y = 0.5
40
+ prob = 0.5
41
+
42
+ [aug_params_fast.translate]
43
+ max_percent = 0.05
44
+ prob = 0.2
45
+
46
+ [aug_params_fast.scale]
47
+ min = 0.8
48
+ max = 1.2
49
+ prob = 0.2
50
+
51
+ [aug_params_fast.zoom]
52
+ min = 0.8
53
+ max = 1.2
54
+ prob = 0.2
55
+
56
+ [aug_params_fast.rotate]
57
+ max_degree = 179
58
+ prob = 0.75
59
+
60
+ [aug_params_fast.shear]
61
+ max_percent = 0.1
62
+ prob = 0.2
63
+
64
+ [aug_params_fast.elastic]
65
+ alpha = [ 120, 120,]
66
+ sigma = 8
67
+ prob = 0.5
lizard_convnextv2_base/train/best_model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:149eac1914ef02ba7fe00e26460732695fd2b968a3a43a13d2ce6627b2bbdd71
3
+ size 391626489
lizard_convnextv2_large/liz_test_param_dict.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {"best_fg_lizard": [0.7, 0.6, 0.7, 0.6, 0.6, 0.5, 0.8],
2
+ "best_seed_lizard": [0.8, 0.6, 0.7, 0.6, 0.4, 0.5, 0.1],
3
+ "best_fg_f1": [0.6, 0.7, 0.3, 0.3, 0.6, 0.2, 0.6],
4
+ "best_seed_f1": [0.9, 0.6, 0.6, 0.3, 0.6, 0.3, 0.1]
5
+ }
lizard_convnextv2_large/mit_test_param_dict.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"best_fg_lizard": [0.4, 0.6, 0.7, 0.7, 0.5, 0.6, 0.7],
2
+ "best_seed_lizard": [0.1, 0.6, 0.5, 0.2, 0.3, 0.5, 0.1],
3
+ "best_fg_f1": [0.1, 0.6, 0.4, 0.6, 0.3, 0.4, 0.8],
4
+ "best_seed_f1": [0.2, 0.6, 0.4, 0.1, 0.2, 0.4, 0.1]}
lizard_convnextv2_large/params.toml ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset = "lizard"
2
+ data_path_liz = ""
3
+ data_path_mit = ""
4
+ hard_labels = ""
5
+ encoder = "convnextv2_large.fcmae_ft_in22k_in1k"
6
+ out_channels_cls = 8
7
+ inst_channels = 5
8
+ pretrained = true
9
+ batch_size = 24
10
+ validation_batch_size = 64
11
+ weight_decay = 0.0001
12
+ learning_rate = 0.0001
13
+ min_learning_rate = 1e-8
14
+ training_steps = 200000
15
+ validation_step = 1000
16
+ checkpoint_step = 10000
17
+ fl_gamma = 2
18
+ loss_lambda = 0.02
19
+ tta = 16
20
+ eval_optim_metric = "mpq"
21
+ n_rounds = 5
22
+ save = false
23
+ f1_metric_ccrop = 248
24
+ match_euc_dist = 6
25
+ eval_criteria = "lizard|alt"
26
+ max_hole_size = 50
27
+ checkpoint_path = ""
28
+ experiment = "lizard_convnextv2_large"
29
+ seed = 42
30
+ fold = 0
31
+ test_as_val = true
32
+ optim_metric = "mpq"
33
+ num_workers = 4
34
+ use_amp = true
35
+ color_scale = 0.2
36
+
37
+ [aug_params_fast.mirror]
38
+ prob_x = 0.5
39
+ prob_y = 0.5
40
+ prob = 0.5
41
+
42
+ [aug_params_fast.translate]
43
+ max_percent = 0.05
44
+ prob = 0.2
45
+
46
+ [aug_params_fast.scale]
47
+ min = 0.8
48
+ max = 1.2
49
+ prob = 0.2
50
+
51
+ [aug_params_fast.zoom]
52
+ min = 0.8
53
+ max = 1.2
54
+ prob = 0.2
55
+
56
+ [aug_params_fast.rotate]
57
+ max_degree = 179
58
+ prob = 0.75
59
+
60
+ [aug_params_fast.shear]
61
+ max_percent = 0.1
62
+ prob = 0.2
63
+
64
+ [aug_params_fast.elastic]
65
+ alpha = [ 120, 120,]
66
+ sigma = 8
67
+ prob = 0.5
lizard_convnextv2_large/train/best_model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e290320cd4c62954434cf102d2c1c226a2f65ddbbdd457a42ce717f757b3fa83
3
+ size 842160889
lizard_convnextv2_tiny/liz_test_param_dict.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"best_fg_lizard": [0.5, 0.6, 0.7, 0.6, 0.7, 0.5, 0.7],
2
+ "best_seed_lizard": [0.2, 0.6, 0.6, 0.2, 0.5, 0.4, 0.1],
3
+ "best_fg_f1": [0.5, 0.6, 0.5, 0.3, 0.5, 0.3, 0.5],
4
+ "best_seed_f1": [0.2, 0.5, 0.6, 0.1, 0.7, 0.3, 0.1]}
lizard_convnextv2_tiny/mit_test_param_dict.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"best_fg_lizard": [0.4, 0.7, 0.7, 0.7, 0.5, 0.6, 0.6],
2
+ "best_seed_lizard": [0.2, 0.6, 0.4, 0.3, 0.2, 0.5, 0.1],
3
+ "best_fg_f1": [0.3, 0.7, 0.5, 0.6, 0.2, 0.5, 0.5],
4
+ "best_seed_f1": [0.2, 0.6, 0.4, 0.3, 0.2, 0.4, 0.1]}
lizard_convnextv2_tiny/params.toml ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset = "lizard"
2
+ data_path_liz = ""
3
+ data_path_mit = ""
4
+ hard_labels = ""
5
+ encoder = "convnextv2_tiny.fcmae_ft_in22k_in1k"
6
+ out_channels_cls = 8
7
+ inst_channels = 5
8
+ pretrained = true
9
+ batch_size = 24
10
+ validation_batch_size = 64
11
+ weight_decay = 0.0001
12
+ learning_rate = 0.0001
13
+ min_learning_rate = 1e-8
14
+ training_steps = 200000
15
+ validation_step = 1000
16
+ checkpoint_step = 10000
17
+ fl_gamma = 2
18
+ loss_lambda = 0.02
19
+ tta = 16
20
+ eval_optim_metric = "mpq"
21
+ n_rounds = 5
22
+ save = false
23
+ f1_metric_ccrop = 248
24
+ match_euc_dist = 6
25
+ eval_criteria = "lizard|alt"
26
+ max_hole_size = 50
27
+ checkpoint_path = ""
28
+ experiment = "convnextv2_tiny_focal_fulldata_0"
29
+ seed = 42
30
+ fold = 0
31
+ test_as_val = true
32
+ optim_metric = "mpq"
33
+ num_workers = 4
34
+ use_amp = true
35
+ color_scale = 0.2
36
+
37
+ [aug_params_fast.mirror]
38
+ prob_x = 0.5
39
+ prob_y = 0.5
40
+ prob = 0.5
41
+
42
+ [aug_params_fast.translate]
43
+ max_percent = 0.05
44
+ prob = 0.2
45
+
46
+ [aug_params_fast.scale]
47
+ min = 0.8
48
+ max = 1.2
49
+ prob = 0.2
50
+
51
+ [aug_params_fast.zoom]
52
+ min = 0.8
53
+ max = 1.2
54
+ prob = 0.2
55
+
56
+ [aug_params_fast.rotate]
57
+ max_degree = 179
58
+ prob = 0.75
59
+
60
+ [aug_params_fast.shear]
61
+ max_percent = 0.1
62
+ prob = 0.2
63
+
64
+ [aug_params_fast.elastic]
65
+ alpha = [ 120, 120,]
66
+ sigma = 8
67
+ prob = 0.5
lizard_convnextv2_tiny/train/best_model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:606f3f99c29d247c3c23ede4ca6751d9d413bf790fbf61f7c92fb6ec8d56d9fa
3
+ size 144433889
pannuke_convnextv2_tiny_1/pannuke_test_param_dict.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_fg_lizard": [
3
+ 0.6,
4
+ 0.6,
5
+ 0.5,
6
+ 0.5,
7
+ 0.5
8
+ ],
9
+ "best_seed_lizard": [
10
+ 0.6,
11
+ 0.6,
12
+ 0.6,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "best_fg_f1": [
17
+ 0.7000000000000001,
18
+ 0.8,
19
+ 0.4,
20
+ 0.2,
21
+ 0.7000000000000001
22
+ ],
23
+ "best_seed_f1": [
24
+ 0.5,
25
+ 0.6,
26
+ 0.5,
27
+ 0.4,
28
+ 0.6
29
+ ],
30
+ "best_fg_pannuke": [
31
+ 0.6,
32
+ 0.6,
33
+ 0.4,
34
+ 0.5,
35
+ 0.5
36
+ ],
37
+ "best_seed_pannuke": [
38
+ 0.6,
39
+ 0.6,
40
+ 0.5,
41
+ 0.5,
42
+ 0.5
43
+ ]
44
+ }
pannuke_convnextv2_tiny_1/params.toml ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset = "pannuke"
2
+ data_path = ""
3
+ encoder = "convnextv2_tiny.fcmae_ft_in22k_in1k"
4
+ out_channels_cls = 6
5
+ inst_channels = 5
6
+ pretrained = true
7
+ batch_size = 24
8
+ validation_batch_size = 64
9
+ weight_decay = 0.0001
10
+ learning_rate = 0.0001
11
+ min_learning_rate = 1e-8
12
+ training_steps = 200000
13
+ validation_step = 1000
14
+ checkpoint_step = 10000
15
+ fl_gamma = 2
16
+ loss_lambda = 0.1
17
+ tta = 16
18
+ eval_optim_metric = "pannuke"
19
+ n_rounds = 5
20
+ save = false
21
+ alt_metric_ccrop = 256
22
+ match_euc_dist = 12
23
+ eval_criteria = "lizard|alt|pannuke"
24
+ max_hole_size = 128
25
+ checkpoint_path = ""
26
+ experiment = "pannuke_convnextv2_tiny_1"
27
+ seed = 42
28
+ fold = 1
29
+ test_as_val = false
30
+ optim_metric = "pannuke"
31
+ num_workers = 4
32
+ use_amp = true
33
+ color_scale = 0.4
34
+
35
+ [aug_params_fast.mirror]
36
+ prob_x = 0.5
37
+ prob_y = 0.5
38
+ prob = 0.5
39
+
40
+ [aug_params_fast.translate]
41
+ max_percent = 0.05
42
+ prob = 0.2
43
+
44
+ [aug_params_fast.scale]
45
+ min = 0.8
46
+ max = 1.2
47
+ prob = 0.2
48
+
49
+ [aug_params_fast.zoom]
50
+ min = 0.5
51
+ max = 1.5
52
+ prob = 0.2
53
+
54
+ [aug_params_fast.rotate]
55
+ max_degree = 179
56
+ prob = 0.75
57
+
58
+ [aug_params_fast.shear]
59
+ max_percent = 0.1
60
+ prob = 0.2
61
+
62
+ [aug_params_fast.elastic]
63
+ alpha = [ 120, 120,]
64
+ sigma = 8
65
+ prob = 0.5
pannuke_convnextv2_tiny_1/train/best_model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c75821cfc2a0a49f7f75ebb57a4e4842f9ddd67798841180a6e3d8091261ed0
3
+ size 144433761
pannuke_convnextv2_tiny_2/pannuke_test_param_dict.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_fg_lizard": [
3
+ 0.5,
4
+ 0.6,
5
+ 0.5,
6
+ 0.5,
7
+ 0.6
8
+ ],
9
+ "best_seed_lizard": [
10
+ 0.5,
11
+ 0.6,
12
+ 0.6,
13
+ 0.4,
14
+ 0.6
15
+ ],
16
+ "best_fg_f1": [
17
+ 0.7000000000000001,
18
+ 0.7000000000000001,
19
+ 0.6,
20
+ 0.30000000000000004,
21
+ 0.7000000000000001
22
+ ],
23
+ "best_seed_f1": [
24
+ 0.5,
25
+ 0.4,
26
+ 0.5,
27
+ 0.2,
28
+ 0.6
29
+ ],
30
+ "best_fg_pannuke": [
31
+ 0.5,
32
+ 0.6,
33
+ 0.5,
34
+ 0.5,
35
+ 0.5
36
+ ],
37
+ "best_seed_pannuke": [
38
+ 0.6,
39
+ 0.6,
40
+ 0.6,
41
+ 0.4,
42
+ 0.5
43
+ ]
44
+ }
pannuke_convnextv2_tiny_2/params.toml ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset = "pannuke"
2
+ data_path = ""
3
+ encoder = "convnextv2_tiny.fcmae_ft_in22k_in1k"
4
+ out_channels_cls = 6
5
+ inst_channels = 5
6
+ pretrained = true
7
+ batch_size = 24
8
+ validation_batch_size = 64
9
+ weight_decay = 0.0001
10
+ learning_rate = 0.0001
11
+ min_learning_rate = 1e-8
12
+ training_steps = 200000
13
+ validation_step = 1000
14
+ checkpoint_step = 10000
15
+ fl_gamma = 2
16
+ loss_lambda = 0.1
17
+ tta = 16
18
+ eval_optim_metric = "pannuke"
19
+ n_rounds = 5
20
+ save = false
21
+ alt_metric_ccrop = 256
22
+ match_euc_dist = 12
23
+ eval_criteria = "lizard|alt|pannuke"
24
+ max_hole_size = 128
25
+ checkpoint_path = ""
26
+ experiment = "pannuke_convnextv2_tiny_2"
27
+ seed = 42
28
+ fold = 2
29
+ test_as_val = false
30
+ optim_metric = "pannuke"
31
+ num_workers = 4
32
+ use_amp = true
33
+ color_scale = 0.4
34
+
35
+ [aug_params_fast.mirror]
36
+ prob_x = 0.5
37
+ prob_y = 0.5
38
+ prob = 0.5
39
+
40
+ [aug_params_fast.translate]
41
+ max_percent = 0.05
42
+ prob = 0.2
43
+
44
+ [aug_params_fast.scale]
45
+ min = 0.8
46
+ max = 1.2
47
+ prob = 0.2
48
+
49
+ [aug_params_fast.zoom]
50
+ min = 0.5
51
+ max = 1.5
52
+ prob = 0.2
53
+
54
+ [aug_params_fast.rotate]
55
+ max_degree = 179
56
+ prob = 0.75
57
+
58
+ [aug_params_fast.shear]
59
+ max_percent = 0.1
60
+ prob = 0.2
61
+
62
+ [aug_params_fast.elastic]
63
+ alpha = [ 120, 120,]
64
+ sigma = 8
65
+ prob = 0.5
pannuke_convnextv2_tiny_2/train/best_model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10d0580bb0616b081d19da90f87196a4db8554963720bf2fe11822d4b215557e
3
+ size 144433761
pannuke_convnextv2_tiny_3/pannuke_test_param_dict.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_fg_lizard": [
3
+ 0.5,
4
+ 0.6,
5
+ 0.5,
6
+ 0.5,
7
+ 0.5
8
+ ],
9
+ "best_seed_lizard": [
10
+ 0.5,
11
+ 0.6,
12
+ 0.5,
13
+ 0.4,
14
+ 0.5
15
+ ],
16
+ "best_fg_f1": [
17
+ 0.7000000000000001,
18
+ 0.7000000000000001,
19
+ 0.6,
20
+ 0.6,
21
+ 0.7000000000000001
22
+ ],
23
+ "best_seed_f1": [
24
+ 0.4,
25
+ 0.5,
26
+ 0.4,
27
+ 0.1,
28
+ 0.5
29
+ ],
30
+ "best_fg_pannuke": [
31
+ 0.6,
32
+ 0.6,
33
+ 0.5,
34
+ 0.7000000000000001,
35
+ 0.5
36
+ ],
37
+ "best_seed_pannuke": [
38
+ 0.5,
39
+ 0.5,
40
+ 0.5,
41
+ 0.6,
42
+ 0.5
43
+ ]
44
+ }
pannuke_convnextv2_tiny_3/params.toml ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset = "pannuke"
2
+ data_path = ""
3
+ encoder = "convnextv2_tiny.fcmae_ft_in22k_in1k"
4
+ out_channels_cls = 6
5
+ inst_channels = 5
6
+ pretrained = true
7
+ batch_size = 24
8
+ validation_batch_size = 64
9
+ weight_decay = 0.0001
10
+ learning_rate = 0.0001
11
+ min_learning_rate = 1e-8
12
+ training_steps = 200000
13
+ validation_step = 1000
14
+ checkpoint_step = 10000
15
+ fl_gamma = 2
16
+ loss_lambda = 0.1
17
+ tta = 16
18
+ eval_optim_metric = "pannuke"
19
+ n_rounds = 5
20
+ save = false
21
+ alt_metric_ccrop = 256
22
+ match_euc_dist = 12
23
+ eval_criteria = "lizard|alt|pannuke"
24
+ max_hole_size = 128
25
+ checkpoint_path = ""
26
+ experiment = "pannuke_convnextv2_tiny_3"
27
+ seed = 42
28
+ fold = 3
29
+ test_as_val = false
30
+ optim_metric = "pannuke"
31
+ num_workers = 4
32
+ use_amp = true
33
+ color_scale = 0.4
34
+
35
+ [aug_params_fast.mirror]
36
+ prob_x = 0.5
37
+ prob_y = 0.5
38
+ prob = 0.5
39
+
40
+ [aug_params_fast.translate]
41
+ max_percent = 0.05
42
+ prob = 0.2
43
+
44
+ [aug_params_fast.scale]
45
+ min = 0.8
46
+ max = 1.2
47
+ prob = 0.2
48
+
49
+ [aug_params_fast.zoom]
50
+ min = 0.5
51
+ max = 1.5
52
+ prob = 0.2
53
+
54
+ [aug_params_fast.rotate]
55
+ max_degree = 179
56
+ prob = 0.75
57
+
58
+ [aug_params_fast.shear]
59
+ max_percent = 0.1
60
+ prob = 0.2
61
+
62
+ [aug_params_fast.elastic]
63
+ alpha = [ 120, 120,]
64
+ sigma = 8
65
+ prob = 0.5
pannuke_convnextv2_tiny_3/train/best_model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12ece143178a4b8fda71014126aab5696d4ba6efbf42f480f56a44ebb54e26f8
3
+ size 144433761