# Natural Language Inference on AmericasNLI (test)

Source: [Natural Language Inference on AmericasNLI (test)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test>)

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

Data updated: 2026-02-26T05:34:31.080Z

Evaluation of Natural Language Inference performance on the test split of the AmericasNLI dataset, measured using a specific set of 12 language-specific metrics.

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 | Natural Language Inference |
| Dataset (including any stated split) | AmericasNLI (test) |
| Metric | Accuracy (aym) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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

- [Accuracy (aym)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(aym)>): Higher is better; unit: PERCENT.

- [Accuracy (bzd)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(bzd)>): Higher is better; unit: PERCENT.

- [Accuracy (cni)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(cni)>): Higher is better; unit: PERCENT.

- [Accuracy (gn)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(gn)>): Higher is better; unit: PERCENT.

- [Accuracy (hch)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(hch)>): Higher is better; unit: PERCENT.

- [Accuracy (nah)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(nah)>): Higher is better; unit: PERCENT.

- [Accuracy (oto)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(oto)>): Higher is better; unit: PERCENT.

- [Accuracy (quy)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(quy)>): Higher is better; unit: PERCENT.

- [Accuracy (shp)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(shp)>): Higher is better; unit: PERCENT.

- [Accuracy (tar)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(tar)>): Higher is better; unit: PERCENT.

- [Average Accuracy](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

- [Avg Change (Delta)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Avg%20Change%20(Delta)>): Higher is better; unit: SCALAR.

- [Accuracy (grn)](<https://www.sota2.com/research/sota/natural-language-inference-on-americasnli-test.md?metric=Accuracy%20(grn)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (aym) | Result date | Report paper |
| --- | --- | --- | --- |
| BISTIL-TF | 58.9 | Not recorded | 68fa6f911e209131cea464e1 |
| LTSFT | 58.1 | Not recorded | 68fa6f911e209131cea464e1 |
| BISTIL-TF | 57.7 | Not recorded | 68fa6f911e209131cea464e1 |
| UniBridge | 52.13 | Not recorded | 68fa748d1e209131cea626ca |
| MAD-X | 39.46 | Not recorded | 68fa748d1e209131cea626ca |
| XLM-R | 36.26 | Not recorded | 68fa748d1e209131cea626ca |
| UniBridge | 35.73 | Not recorded | 68fa748d1e209131cea626ca |
| mBERT | 33.33 | Not recorded | 68fa748d1e209131cea626ca |
| MAD-X | 33.06 | Not recorded | 68fa748d1e209131cea626ca |

### BISTIL-TF

Accuracy (aym): 58.9. Result ID: 6990e04d3a6c31484903f3fc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f911e209131cea464e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f911e209131cea464e1.md>)

[Implementation](<https://github.com/AlanAnsell/bistil>)

Recorded evaluation configuration: {"LRF":2,"mode":"Zero-shot"}. This record does not assert independent reproduction.

### LTSFT

Accuracy (aym): 58.1. Result ID: 6990e04d3a6c31484903f3fb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f911e209131cea464e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e7c1e209131cea40346.md>)

[Implementation](<https://github.com/cambridgeltl/composable-sft>)

Recorded evaluation configuration: {"mode":"Zero-shot"}. This record does not assert independent reproduction.

### BISTIL-TF

Accuracy (aym): 57.7. Result ID: 6990e04d3a6c31484903f3fd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f911e209131cea464e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f911e209131cea464e1.md>)

[Implementation](<https://github.com/AlanAnsell/bistil>)

Recorded evaluation configuration: {"LRF":3,"mode":"Zero-shot"}. This record does not assert independent reproduction.

### UniBridge

Accuracy (aym): 52.13. Result ID: 69934b3e3a6c31484914fbd1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa748d1e209131cea626ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa748d1e209131cea626ca.md>)

[Implementation](<https://github.com/TokisakiKurumi2001/UniBridge>)

Recorded evaluation configuration: {"Backbone":"XLM-R"}. This record does not assert independent reproduction.

### MAD-X

Accuracy (aym): 39.46. Result ID: 69934b3e3a6c31484914fbd0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa748d1e209131cea626ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa686b1e209131cea1c005.md>)

[Implementation](<https://github.com/Adapter-Hub/adapter-transformers>)

Recorded evaluation configuration: {"Backbone":"XLM-R"}. This record does not assert independent reproduction.

### XLM-R

Accuracy (aym): 36.26. Result ID: 69934b3e3a6c31484914fbcf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa748d1e209131cea626ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67521e209131cea15706.md>)

Recorded evaluation configuration: {"Backbone":"XLM-R"}. This record does not assert independent reproduction.

### UniBridge

Accuracy (aym): 35.73. Result ID: 69934b3e3a6c31484914fbce.

[Reporting paper](<https://www.sota2.com/research/paper/68fa748d1e209131cea626ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa748d1e209131cea626ca.md>)

[Implementation](<https://github.com/TokisakiKurumi2001/UniBridge>)

Recorded evaluation configuration: {"Backbone":"mBERT"}. This record does not assert independent reproduction.

### mBERT

Accuracy (aym): 33.33. Result ID: 69934b3e3a6c31484914fbcc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa748d1e209131cea626ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Backbone":"mBERT"}. This record does not assert independent reproduction.

### MAD-X

Accuracy (aym): 33.06. Result ID: 69934b3e3a6c31484914fbcd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa748d1e209131cea626ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa686b1e209131cea1c005.md>)

[Implementation](<https://github.com/Adapter-Hub/adapter-transformers>)

Recorded evaluation configuration: {"Backbone":"mBERT"}. This record does not assert independent reproduction.

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