Train ATI-HO and finalize project outputs
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{
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"stage1_candidates": [
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{
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"method": "A2",
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"best_selection_loss": 0.8634063961741689,
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"best_epoch": 2
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},
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{
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"method": "A3",
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"best_selection_loss": 0.8637567355737581,
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"best_epoch": 2
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},
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{
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"method": "A0",
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"best_selection_loss": 0.8643234267339601,
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"best_epoch": 4
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},
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{
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"method": "A1",
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"best_selection_loss": 0.8649765662439577,
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"best_epoch": 4
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}
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],
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"provisional_selected_candidate": "A2",
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"selection_rule": "lowest fixed four-scenario ATI task loss on the locked official validation split; seed 42 only in Stage I"
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}
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