================================================================================
Model Configuration (CRITICAL FOR INFERENCE)
================================================================================
modelCategory: sota
Task: detection
Genome: [[[3, 0], [8, 1]], [[9, 0], [7, 1]], [[1, 2], [5, 1]], [[9, 4], [0, 4]], [[2, 5], [2, 5]]]
Architecture: AdapterGenotype(ops=[('sep_conv_3x3', 0), ('channel_attention', 1), ('spatial_attention', 0), ('max_pool_3x3', 1), ('skip_connect', 2), ('dil_conv_3x3', 1), ('spatial_attention', 4), ('none', 4), ('conv_1x1', 5), ('conv_1x1', 5)], ops_concat=[3, 6])
backbone: tiny_darknet
search_space: micro
num_cells: 3
num_classes: 6
image_size: 640
class_names: ['Sorter1', 'Sorter2', 'Interlayer', 'Gripper', 'Item', 'Robot Operating Area']
================================================================================
Performance Metrics
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Params: 2.10450 MB
Forward FLOPs: 462.997548 M
Training FLOPs: 1599.086812 M [thop]
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Epoch  | Train Loss | Valid mAP  | Error      | FLOPs     
--------------------------------------------------------------------------------
0      | 5.3026     | 40.9635    | 59.04      | 1599.09   
1      | 3.2532     | 54.7736    | 45.23      | 1599.09   
2      | 2.7197     | 55.3503    | 44.65      | 1599.09   
3      | 2.4995     | 57.9788    | 42.02      | 1599.09   
4      | 2.2972     | 58.1620    | 41.84      | 1599.09   
5      | 2.1451     | 59.9101    | 40.09      | 1599.09   
6      | 2.0460     | 60.1109    | 39.89      | 1599.09   
7      | 1.9641     | 60.4455    | 39.55      | 1599.09   
8      | 1.8954     | 61.0990    | 38.90      | 1599.09   
9      | 1.8615     | 60.5565    | 39.44      | 1599.09   
