Upload checkpoints/vit_gnn_attention/model_delta_metadata.json with huggingface_hub
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checkpoints/vit_gnn_attention/model_delta_metadata.json
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{
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"branches": [
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"vit",
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"gnn"
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],
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"mode": "attention",
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"seed": 1337,
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"config": {
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"root_img": "/kaggle/input/datasets/nilnguyenquoc/mit67-701515/MIT67_701515",
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"root_graph": "/kaggle/input/datasets/nilnguyenquoc/mit67-graphs-yolov8xworld-k3-c025-m24-vis32-iou30",
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"out_dir": "/kaggle/working",
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"hf_upload": true,
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"hf_upload_repo": "nilnguyen2k/mit67_fusion_summarize",
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"hf_upload_private": false,
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"backbones": {
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"cnn": {
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"repo": "nilnguyen2k/mit67_resnet50_places365",
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"file": "mit_resnet50.pth",
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"model_name": "resnet50"
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},
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"vit": {
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"repo": "nilnguyen2k/mit67_swin_small",
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"file": "mit67_swin_small.pth",
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"model_name": "swin_small_patch4_window7_224"
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},
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"gnn": {
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"repo": "nilnguyen2k/mit67_gnn",
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"file": "mit67_gnn.pth"
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}
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},
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"num_classes": 67,
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"imgsz": 224,
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"extract_batch_size": 64,
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"fit_split": "valid",
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"use_pca": true,
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"pca_dim": 64,
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"pca_max_dim": 192,
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"pca_dim_ablation": [
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],
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"dims": {
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"gnn": 192
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},
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"common_dim": 32,
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"hidden_dim": 0,
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"use_delta": true,
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"epochs_base": 120,
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"epochs_delta": 30,
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"epochs": 80,
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"batch_size": 64,
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"lr": 0.001,
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"aux_weight": 0.1,
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"seeds": [
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| 84 |
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"branch_sets": [
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[
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[
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[
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[
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[
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"modes": [
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"concat",
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],
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"gnn_arch": {
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| 116 |
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| 117 |
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"heads": 4
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}
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},
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"variant": "delta",
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"metrics": {
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"accuracy": 89.64226289517471,
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"f1_weighted": 89.56939598503399
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| 133 |
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}
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}
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