Commit
•
849b591
1
Parent(s):
bbffdb2
Add model checkpoints and params
Browse files- lizard_convnextv2_base/liz_test_param_dict.json +4 -0
- lizard_convnextv2_base/mit_test_param_dict.json +4 -0
- lizard_convnextv2_base/params.toml +67 -0
- lizard_convnextv2_base/train/best_model.pt +3 -0
- lizard_convnextv2_large/liz_test_param_dict.json +5 -0
- lizard_convnextv2_large/mit_test_param_dict.json +4 -0
- lizard_convnextv2_large/params.toml +67 -0
- lizard_convnextv2_large/train/best_model.pt +3 -0
- lizard_convnextv2_tiny/liz_test_param_dict.json +4 -0
- lizard_convnextv2_tiny/mit_test_param_dict.json +4 -0
- lizard_convnextv2_tiny/params.toml +67 -0
- lizard_convnextv2_tiny/train/best_model.pt +3 -0
- pannuke_convnextv2_tiny_1/pannuke_test_param_dict.json +44 -0
- pannuke_convnextv2_tiny_1/params.toml +65 -0
- pannuke_convnextv2_tiny_1/train/best_model.pt +3 -0
- pannuke_convnextv2_tiny_2/pannuke_test_param_dict.json +44 -0
- pannuke_convnextv2_tiny_2/params.toml +65 -0
- pannuke_convnextv2_tiny_2/train/best_model.pt +3 -0
- pannuke_convnextv2_tiny_3/pannuke_test_param_dict.json +44 -0
- pannuke_convnextv2_tiny_3/params.toml +65 -0
- pannuke_convnextv2_tiny_3/train/best_model.pt +3 -0
lizard_convnextv2_base/liz_test_param_dict.json
ADDED
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{"best_fg_lizard": [0.7, 0.6, 0.6, 0.6, 0.6, 0.5, 0.9],
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"best_seed_lizard": [0.5, 0.6, 0.5, 0.5, 0.7, 0.4, 0.1],
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"best_fg_f1": [0.6, 0.7, 0.5, 0.4, 0.7, 0.2, 0.1],
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"best_seed_f1": [0.4, 0.6, 0.5, 0.1, 0.7, 0.4, 0.1]}
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lizard_convnextv2_base/mit_test_param_dict.json
ADDED
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{"best_fg_lizard": [0.3, 0.6, 0.7, 0.7, 0.4, 0.6, 0.4],
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"best_seed_lizard": [0.2, 0.6, 0.4, 0.1, 0.2, 0.6, 0.1],
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"best_fg_f1": [0.2, 0.6, 0.5, 0.4, 0.5, 0.4, 0.5],
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"best_seed_f1": [0.3, 0.5, 0.4, 0.1, 0.2, 0.5, 0.1]}
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lizard_convnextv2_base/params.toml
ADDED
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dataset = "lizard"
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data_path_liz = ""
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data_path_mit = ""
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hard_labels = ""
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encoder = "convnextv2_base.fcmae_ft_in22k_in1k"
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out_channels_cls = 8
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inst_channels = 5
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pretrained = true
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batch_size = 24
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validation_batch_size = 64
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weight_decay = 0.0001
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learning_rate = 0.0001
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min_learning_rate = 1e-8
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training_steps = 200000
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validation_step = 1000
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checkpoint_step = 10000
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fl_gamma = 2
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loss_lambda = 0.02
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tta = 16
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eval_optim_metric = "mpq"
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n_rounds = 5
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save = false
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f1_metric_ccrop = 248
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match_euc_dist = 6
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eval_criteria = "lizard|alt"
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max_hole_size = 50
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checkpoint_path = ""
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experiment = "convnextv2_base_focal_fulldata_0"
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seed = 42
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fold = 0
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test_as_val = true
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optim_metric = "mpq"
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num_workers = 4
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use_amp = true
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color_scale = 0.2
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[aug_params_fast.mirror]
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prob_x = 0.5
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prob_y = 0.5
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prob = 0.5
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[aug_params_fast.translate]
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max_percent = 0.05
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prob = 0.2
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[aug_params_fast.scale]
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min = 0.8
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max = 1.2
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prob = 0.2
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[aug_params_fast.zoom]
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min = 0.8
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max = 1.2
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prob = 0.2
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[aug_params_fast.rotate]
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max_degree = 179
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prob = 0.75
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[aug_params_fast.shear]
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max_percent = 0.1
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prob = 0.2
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[aug_params_fast.elastic]
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alpha = [ 120, 120,]
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sigma = 8
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prob = 0.5
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lizard_convnextv2_base/train/best_model.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:149eac1914ef02ba7fe00e26460732695fd2b968a3a43a13d2ce6627b2bbdd71
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size 391626489
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lizard_convnextv2_large/liz_test_param_dict.json
ADDED
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{"best_fg_lizard": [0.7, 0.6, 0.7, 0.6, 0.6, 0.5, 0.8],
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"best_seed_lizard": [0.8, 0.6, 0.7, 0.6, 0.4, 0.5, 0.1],
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"best_fg_f1": [0.6, 0.7, 0.3, 0.3, 0.6, 0.2, 0.6],
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"best_seed_f1": [0.9, 0.6, 0.6, 0.3, 0.6, 0.3, 0.1]
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}
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lizard_convnextv2_large/mit_test_param_dict.json
ADDED
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{"best_fg_lizard": [0.4, 0.6, 0.7, 0.7, 0.5, 0.6, 0.7],
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"best_seed_lizard": [0.1, 0.6, 0.5, 0.2, 0.3, 0.5, 0.1],
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"best_fg_f1": [0.1, 0.6, 0.4, 0.6, 0.3, 0.4, 0.8],
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"best_seed_f1": [0.2, 0.6, 0.4, 0.1, 0.2, 0.4, 0.1]}
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lizard_convnextv2_large/params.toml
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dataset = "lizard"
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data_path_liz = ""
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data_path_mit = ""
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hard_labels = ""
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encoder = "convnextv2_large.fcmae_ft_in22k_in1k"
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out_channels_cls = 8
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inst_channels = 5
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pretrained = true
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batch_size = 24
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validation_batch_size = 64
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weight_decay = 0.0001
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learning_rate = 0.0001
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min_learning_rate = 1e-8
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training_steps = 200000
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validation_step = 1000
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checkpoint_step = 10000
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fl_gamma = 2
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loss_lambda = 0.02
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tta = 16
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eval_optim_metric = "mpq"
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n_rounds = 5
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save = false
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f1_metric_ccrop = 248
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match_euc_dist = 6
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eval_criteria = "lizard|alt"
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max_hole_size = 50
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checkpoint_path = ""
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experiment = "lizard_convnextv2_large"
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seed = 42
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fold = 0
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test_as_val = true
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optim_metric = "mpq"
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num_workers = 4
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use_amp = true
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color_scale = 0.2
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[aug_params_fast.mirror]
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prob_x = 0.5
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prob_y = 0.5
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prob = 0.5
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[aug_params_fast.translate]
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max_percent = 0.05
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prob = 0.2
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[aug_params_fast.scale]
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min = 0.8
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max = 1.2
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prob = 0.2
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[aug_params_fast.zoom]
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min = 0.8
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max = 1.2
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prob = 0.2
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[aug_params_fast.rotate]
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max_degree = 179
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prob = 0.75
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[aug_params_fast.shear]
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max_percent = 0.1
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prob = 0.2
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[aug_params_fast.elastic]
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alpha = [ 120, 120,]
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sigma = 8
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prob = 0.5
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lizard_convnextv2_large/train/best_model.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:e290320cd4c62954434cf102d2c1c226a2f65ddbbdd457a42ce717f757b3fa83
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size 842160889
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lizard_convnextv2_tiny/liz_test_param_dict.json
ADDED
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{"best_fg_lizard": [0.5, 0.6, 0.7, 0.6, 0.7, 0.5, 0.7],
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"best_seed_lizard": [0.2, 0.6, 0.6, 0.2, 0.5, 0.4, 0.1],
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"best_fg_f1": [0.5, 0.6, 0.5, 0.3, 0.5, 0.3, 0.5],
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"best_seed_f1": [0.2, 0.5, 0.6, 0.1, 0.7, 0.3, 0.1]}
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lizard_convnextv2_tiny/mit_test_param_dict.json
ADDED
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{"best_fg_lizard": [0.4, 0.7, 0.7, 0.7, 0.5, 0.6, 0.6],
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"best_seed_lizard": [0.2, 0.6, 0.4, 0.3, 0.2, 0.5, 0.1],
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"best_fg_f1": [0.3, 0.7, 0.5, 0.6, 0.2, 0.5, 0.5],
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"best_seed_f1": [0.2, 0.6, 0.4, 0.3, 0.2, 0.4, 0.1]}
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lizard_convnextv2_tiny/params.toml
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dataset = "lizard"
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data_path_liz = ""
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+
data_path_mit = ""
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+
hard_labels = ""
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encoder = "convnextv2_tiny.fcmae_ft_in22k_in1k"
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+
out_channels_cls = 8
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inst_channels = 5
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pretrained = true
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batch_size = 24
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validation_batch_size = 64
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+
weight_decay = 0.0001
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learning_rate = 0.0001
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min_learning_rate = 1e-8
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training_steps = 200000
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validation_step = 1000
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checkpoint_step = 10000
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+
fl_gamma = 2
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loss_lambda = 0.02
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tta = 16
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eval_optim_metric = "mpq"
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n_rounds = 5
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save = false
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f1_metric_ccrop = 248
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match_euc_dist = 6
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eval_criteria = "lizard|alt"
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max_hole_size = 50
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checkpoint_path = ""
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experiment = "convnextv2_tiny_focal_fulldata_0"
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seed = 42
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fold = 0
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test_as_val = true
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optim_metric = "mpq"
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num_workers = 4
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use_amp = true
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color_scale = 0.2
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[aug_params_fast.mirror]
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prob_x = 0.5
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prob_y = 0.5
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prob = 0.5
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[aug_params_fast.translate]
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max_percent = 0.05
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prob = 0.2
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+
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[aug_params_fast.scale]
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min = 0.8
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48 |
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max = 1.2
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49 |
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prob = 0.2
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[aug_params_fast.zoom]
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min = 0.8
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max = 1.2
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54 |
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prob = 0.2
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[aug_params_fast.rotate]
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max_degree = 179
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prob = 0.75
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+
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[aug_params_fast.shear]
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max_percent = 0.1
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prob = 0.2
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63 |
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[aug_params_fast.elastic]
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alpha = [ 120, 120,]
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sigma = 8
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prob = 0.5
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lizard_convnextv2_tiny/train/best_model.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:606f3f99c29d247c3c23ede4ca6751d9d413bf790fbf61f7c92fb6ec8d56d9fa
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size 144433889
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pannuke_convnextv2_tiny_1/pannuke_test_param_dict.json
ADDED
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{
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"best_fg_lizard": [
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0.6,
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0.6,
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0.5,
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0.5,
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0.5
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],
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"best_seed_lizard": [
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0.6,
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0.6,
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0.6,
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0.5,
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0.5
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],
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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
|