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template.yaml
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template.yaml
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# Description.
model_template_id: Custom_Image_Classification_EfficinetNet-B0
name: EfficientNet-B0
task_type: CLASSIFICATION
task_family: VISION
instantiation: "CLASS"
summary: Class-Incremental Image Classification for EfficientNet-B0
application: ~
# Algo backend.
framework: OTXClassification v1.2.3
# Task implementations.
entrypoints:
base: otx.algorithms.classification.adapters.mmcls.task.MMClassificationTask
openvino: otx.algorithms.classification.adapters.openvino.task.ClassificationOpenVINOTask
nncf: otx.algorithms.classification.adapters.mmcls.nncf.task.ClassificationNNCFTask
# Capabilities.
capabilities:
- compute_representations
# Hyperparameters.
hyper_parameters:
base_path: ../configuration.yaml
parameter_overrides:
learning_parameters:
batch_size:
default_value: 64
auto_hpo_state: POSSIBLE
learning_rate:
default_value: 0.0049
auto_hpo_state: POSSIBLE
learning_rate_warmup_iters:
default_value: 0
num_iters:
default_value: 90
nncf_optimization:
enable_quantization:
default_value: true
enable_pruning:
default_value: false
pruning_supported:
default_value: true
maximal_accuracy_degradation:
default_value: 1.0
algo_backend:
train_type:
default_value: Incremental
# Training resources.
max_nodes: 1
training_targets:
- GPU
- CPU
# Stats.
gigaflops: 0.81
size: 4.09
# Model spec
model_category: BALANCE
is_default_for_task: true