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Benchmarks
Multi-anomaly detection on Synthetic Time-Series (test)
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16
Count Accuracy
Qwen 2.5 7B
-0.64
3.68
8
12.32
Apr 2, 2026
Count Accuracy
F1 Score
Updated 2mo ago
Evaluation Results
Method
Method
Links
Count Accuracy
F1 Score
Qwen 2.5 7B
Time Series Length=500
2026.04
16
57.6
Qwen 2.5 7B
Time Series Length=200
2026.04
12
45.5
Qwen 2.5 7B
Time Series Length=300
2026.04
12
58.5
Qwen 2.5 7B
Time Series Length=100
2026.04
8
50
LLaMA 3.1 8B
Time Series Length=200
2026.04
4
39.1
Gemma 2 9B
Time Series Length=100
2026.04
4
61.9
LLaMA 3.1 8B
Time Series Length=100
2026.04
0
41.4
LLaMA 3.1 8B
Time Series Length=300
2026.04
0
33.7
LLaMA 3.1 8B
Time Series Length=500
2026.04
0
20.5
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