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fix import error
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LVeefkind committed Oct 21, 2024
1 parent 95340f7 commit 2890fe0
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98 changes: 57 additions & 41 deletions neural_networks/parameters.txt
Original file line number Diff line number Diff line change
@@ -1,46 +1,62 @@
efficientnet_v2_l 1e-04 0 0.25 32 0 0 0
efficientnet_v2_l 1e-04 1 0.25 32 0 0 0
efficientnet_v2_l 1e-04 2 0.25 32 0 0 0
dinov2_vitl14_reg 1e-04 0 0.25 32 0 0 0
dinov2_vitl14_reg 1e-04 1 0.25 32 0 0 0
dinov2_vitl14_reg 1e-04 0 0.25 32 1 0 0
dinov2_vitl14_reg 1e-04 1 0.25 32 1 0 0
efficientnet_v2_l 1e-04 0 0.25 32 0 0.1 1
efficientnet_v2_l 1e-04 1 0.25 32 0 0.1 1
efficientnet_v2_l 1e-04 2 0.25 32 0 0.1 1
dinov2_vitl14_reg 1e-04 0 0.25 32 0 0.1 1
dinov2_vitl14_reg 1e-04 1 0.25 32 0 0.1 1
dinov2_vitl14_reg 1e-04 0 0.25 32 1 0.1 1
dinov2_vitl14_reg 1e-04 1 0.25 32 1 0.1 1
efficientnet_v2_l 1e-04 0 0.25 32 0 0.1 1
efficientnet_v2_l 1e-04 1 0.25 32 0 0.1 1
efficientnet_v2_l 1e-04 2 0.25 32 0 0.1 1
dinov2_vitl14_reg 1e-04 0 0.25 32 0 0.1 1
dinov2_vitl14_reg 1e-04 1 0.25 32 0 0.1 1
dinov2_vitl14_reg 1e-04 0 0.25 32 1 0.1 1
dinov2_vitl14_reg 1e-04 1 0.25 32 1 0.1 1
efficientnet_v2_l 1e-04 0 0.25 32 0 0.2 0
efficientnet_v2_l 1e-04 1 0.25 32 0 0.2 0
efficientnet_v2_l 1e-04 2 0.25 32 0 0.2 0
dinov2_vitl14_reg 1e-04 0 0.25 32 0 0.2 0
dinov2_vitl14_reg 1e-04 1 0.25 32 0 0.2 0
dinov2_vitl14_reg 1e-04 0 0.25 32 1 0.2 0
dinov2_vitl14_reg 1e-04 1 0.25 32 1 0.2 0
efficientnet_v2_l 1e-04 0 0.25 32 0 0.1 0
efficientnet_v2_l 1e-04 1 0.25 32 0 0.1 0
efficientnet_v2_l 1e-04 2 0.25 32 0 0.1 0
dinov2_vitl14_reg 1e-04 0 0.25 32 0 0.1 0
dinov2_vitl14_reg 1e-04 1 0.25 32 0 0.1 0
dinov2_vitl14_reg 1e-04 0 0.25 32 1 0.1 0
dinov2_vitl14_reg 1e-04 1 0.25 32 1 0.1 0

dinov2_vitl14_reg 1e-04 1 0.25 32 1 0.2 1 3 1 560

dinov2_vitl14_reg 1e-04 1 0.25 32 0.1 0 0 16 16 560
dinov2_vitl14_reg 1e-04 1 0.25 32 0.1 1 1 16 16 560
dinov2_vitl14_reg 1e-04 1 0.25 32 0.2 1 0 16 16 560
dinov2_vitl14_reg 1e-04 1 0.25 32 0.2 0 1 16 16 560

dinov2_vitl14_reg 1e-04 1 0.1 32 0.1 0 0 16 16 560
dinov2_vitl14_reg 1e-04 1 0.1 32 0.1 1 1 16 16 560
dinov2_vitl14_reg 1e-04 1 0.1 32 0.2 1 0 16 16 560
dinov2_vitl14_reg 1e-04 1 0.1 32 0.2 0 1 16 16 560

dinov2_vitl14_reg 1e-05 1 0.25 32 0.1 0 0 16 16 560
dinov2_vitl14_reg 1e-05 1 0.25 32 0.1 1 1 16 16 560
dinov2_vitl14_reg 1e-05 1 0.25 32 0.2 1 0 16 16 560
dinov2_vitl14_reg 1e-05 1 0.25 32 0.2 0 1 16 16 560

dinov2_vitl14_reg 1e-05 1 0.1 32 0.1 0 0 16 16 560
dinov2_vitl14_reg 1e-05 1 0.1 32 0.1 1 1 16 16 560
dinov2_vitl14_reg 1e-05 1 0.1 32 0.2 1 0 16 16 560
dinov2_vitl14_reg 1e-05 1 0.1 32 0.2 0 1 16 16 560

dinov2_vitl14_reg 5e-05 1 0.25 32 0.1 0 0 16 16 560
dinov2_vitl14_reg 5e-05 1 0.25 32 0.1 1 1 16 16 560
dinov2_vitl14_reg 5e-05 1 0.25 32 0.2 1 0 16 16 560
dinov2_vitl14_reg 5e-05 1 0.25 32 0.2 0 1 16 16 560

dinov2_vitl14_reg 5e-05 1 0.1 32 0.1 0 0 16 16 560
dinov2_vitl14_reg 5e-05 1 0.1 32 0.1 1 1 16 16 560
dinov2_vitl14_reg 5e-05 1 0.1 32 0.2 1 0 16 16 560
dinov2_vitl14_reg 5e-05 1 0.1 32 0.2 0 1 16 16 560

efficientnet_v2_l 1e-04 1 0.25 32 0.2 0 0 16 16 0
efficientnet_v2_l 1e-04 1 0.25 32 0.2 1 0 16 16 0
efficientnet_v2_l 1e-04 1 0.25 32 0.1 1 0 16 16 0
efficientnet_v2_l 1e-04 1 0.25 32 0.1 0 0 16 16 0

efficientnet_v2_l 1e-04 1 0.1 32 0.2 0 0 16 16 0
efficientnet_v2_l 1e-04 1 0.1 32 0.2 1 0 16 16 0
efficientnet_v2_l 1e-04 1 0.1 32 0.1 1 0 16 16 0
efficientnet_v2_l 1e-04 1 0.1 32 0.1 0 0 16 16 0

efficientnet_v2_l 5e-05 1 0.25 32 0.2 0 0 16 16 0
efficientnet_v2_l 5e-05 1 0.25 32 0.2 1 0 16 16 0
efficientnet_v2_l 5e-05 1 0.25 32 0.1 1 0 16 16 0
efficientnet_v2_l 5e-05 1 0.25 32 0.1 0 0 16 16 0

efficientnet_v2_l 5e-05 1 0.1 32 0.2 0 0 16 16 0
efficientnet_v2_l 5e-05 1 0.1 32 0.2 1 0 16 16 0
efficientnet_v2_l 5e-05 1 0.1 32 0.1 1 0 16 16 0
efficientnet_v2_l 5e-05 1 0.1 32 0.1 0 0 16 16 0

efficientnet_v2_l 1e-05 1 0.25 32 0.2 0 0 16 16 0
efficientnet_v2_l 1e-05 1 0.25 32 0.2 1 0 16 16 0
efficientnet_v2_l 1e-05 1 0.25 32 0.1 1 0 16 16 0
efficientnet_v2_l 1e-05 1 0.25 32 0.1 0 0 16 16 0

dinov2_vitl14_reg 1e-04 1 0.25 32 1 0.1 1 16 16 784
dinov2_vitl14_reg 1e-04 1 0.25 32 1 0.2 1 16 16 560
dinov2_vitl14_reg 1e-04 1 0.25 32 1 0.2 1 16 16 784
efficientnet_v2_l 1e-05 1 0.1 32 0.2 0 0 16 16 0
efficientnet_v2_l 1e-05 1 0.1 32 0.2 1 0 16 16 0
efficientnet_v2_l 1e-05 1 0.1 32 0.1 1 0 16 16 0
efficientnet_v2_l 1e-05 1 0.1 32 0.1 0 0 16 16 0



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4 changes: 2 additions & 2 deletions neural_networks/train_nn.py
Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,8 @@
import numpy as np
import random

from .pre_processing_for_ml import FitsDataset
from .dino_model import DINOV2FeatureExtractor
from pre_processing_for_ml import FitsDataset
from dino_model import DINOV2FeatureExtractor

PROFILE = False
SEED = None
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