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Improve h-cls for eff models #3893

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merged 2 commits into from
Aug 26, 2024
Merged

Improve h-cls for eff models #3893

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8e6d5af
Update step size for eff v2
sooahleex Aug 22, 2024
569ee05
Update effb0 recipe
sooahleex Aug 22, 2024
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7 changes: 5 additions & 2 deletions src/otx/algo/classification/timm_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,8 @@

from __future__ import annotations

from copy import deepcopy
from copy import copy, deepcopy
from math import ceil
from typing import TYPE_CHECKING, Literal

import torch
Expand Down Expand Up @@ -267,12 +268,14 @@ def _create_model(self) -> nn.Module:

def _build_model(self, head_config: dict) -> nn.Module:
backbone = TimmBackbone(backbone=self.backbone, pretrained=self.pretrained)
copied_head_config = copy(head_config)
copied_head_config["step_size"] = (ceil(self.input_size[0] / 32), ceil(self.input_size[1] / 32))
return HLabelClassifier(
backbone=backbone,
neck=nn.Identity(),
head=HierarchicalCBAMClsHead(
in_channels=backbone.num_features,
**head_config,
**copied_head_config,
),
multiclass_loss=nn.CrossEntropyLoss(),
multilabel_loss=AsymmetricAngularLossWithIgnore(gamma_pos=0.0, gamma_neg=1.0, reduction="sum"),
Expand Down
2 changes: 2 additions & 0 deletions src/otx/recipe/classification/h_label_cls/efficientnet_b0.yaml
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Expand Up @@ -7,6 +7,8 @@ model:
class_path: torch.optim.SGD
init_args:
lr: 0.0049
momentum: 0.9
weight_decay: 0.0001
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scheduler:
class_path: lightning.pytorch.cli.ReduceLROnPlateau
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