# Incident-to-technique mapping (test)

Source: [Incident-to-technique mapping (test)](<https://www.sota2.com/research/sota/incident-to-technique-mapping-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-16T08:49:04.427Z

Evaluation of model performance on the Incident-to-technique mapping task using the Incident-to-technique mapping (test) dataset, measured using MAE and MSE.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Incident-to-technique mapping |
| Dataset (including any stated split) | Incident-to-technique mapping (test) |
| Metric | MAE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [MAE](<https://www.sota2.com/research/sota/incident-to-technique-mapping-test.md?metric=MAE>): Lower is better; unit: SCALAR.

- [MSE](<https://www.sota2.com/research/sota/incident-to-technique-mapping-test.md?metric=MSE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | MAE | Result date | Report paper |
| --- | --- | --- | --- |
| ft\_mpnet\_v6 | 0.1352 | Not recorded | 69b78e9a0636e5bf4afbdc88 |
| all-distilroberta-v1 | 0.4806 | Not recorded | 69b78e9a0636e5bf4afbdc88 |
| all-mpnet-base-v2 | 0.5281 | Not recorded | 69b78e9a0636e5bf4afbdc88 |
| all-MiniLM-L12-v2 | 0.5663 | Not recorded | 69b78e9a0636e5bf4afbdc88 |

### ft\_mpnet\_v6

MAE: 0.1352. Result ID: 69b7c35d47f34ce9249f79a7.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e9a0636e5bf4afbdc88.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b78e9a0636e5bf4afbdc88.md>)

Recorded evaluation configuration: {"Training Mode":"Fine-tuned"}. This record does not assert independent reproduction.

### all-distilroberta-v1

MAE: 0.4806. Result ID: 69b7c35d47f34ce9249f79a9.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e9a0636e5bf4afbdc88.md>)

Recorded evaluation configuration: {"Training Mode":"Pre-trained baseline"}. This record does not assert independent reproduction.

### all-mpnet-base-v2

MAE: 0.5281. Result ID: 69b7c35d47f34ce9249f79a8.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e9a0636e5bf4afbdc88.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68a81e209131cea1d80d.md>)

[Implementation](<https://github.com/microsoft/MPNet>)

Recorded evaluation configuration: {"Training Mode":"Pre-trained baseline"}. This record does not assert independent reproduction.

### all-MiniLM-L12-v2

MAE: 0.5663. Result ID: 69b7c35d47f34ce9249f79aa.

[Reporting paper](<https://www.sota2.com/research/paper/69b78e9a0636e5bf4afbdc88.md>)

Recorded evaluation configuration: {"Training Mode":"Pre-trained baseline"}. This record does not assert independent reproduction.

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