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Benchmarks
Preference Alignment on PyDPO (test)
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94.32
Accuracy
FedPDPO
88.2152
89.8001
91.385
92.9699
Mar 20, 2026
Accuracy
Updated 26d ago
Evaluation Results
Method
Method
Links
Accuracy
FedPDPO
Backbone=TinyLlama-1.1...
2026.03
94.32
FedPer(+DPO)
Backbone=TinyLlama-1.1...
2026.03
93.05
FedRep(+DPO)
Backbone=TinyLlama-1.1...
2026.03
92.54
Per-FedAvg(+DPO)
Backbone=TinyLlama-1.1...
2026.03
92.38
FedAvg(+DPO)
Backbone=TinyLlama-1.1...
2026.03
91.8
FedAMP(+DPO)
Backbone=TinyLlama-1.1...
2026.03
91.23
FedPer(+PPO)
Backbone=TinyLlama-1.1...
2026.03
90.54
Per-FedAvg(+PPO)
Backbone=TinyLlama-1.1...
2026.03
89.86
FedRep(+PPO)
Backbone=TinyLlama-1.1...
2026.03
89.71
FedAvg(+PPO)
Backbone=TinyLlama-1.1...
2026.03
89.12
FedAMP(+PPO)
Backbone=TinyLlama-1.1...
2026.03
88.45
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