Model card
XLMft UDA.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark XLMft UDA has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | mldoc-zero-shot-english-to-chinese | Computer Vision · Optical Character Recognition | accuracy | 93.3% | #1 | 2019-09-16 | source ↗ |
| 02 | mldoc-zero-shot-english-to-french | Computer Vision · Optical Character Recognition | accuracy | 96.0% | #1 | 2019-09-16 | source ↗ |
| 03 | mldoc-zero-shot-english-to-german | Computer Vision · Optical Character Recognition | accuracy | 97.0% | #1 | 2019-09-16 | source ↗ |
| 04 | mldoc-zero-shot-english-to-russian | Computer Vision · Optical Character Recognition | accuracy | 89.7% | #1 | 2019-09-16 | source ↗ |
| 05 | mldoc-zero-shot-english-to-spanish | Computer Vision · Optical Character Recognition | accuracy | 96.8% | #1 | 2019-09-16 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for XLMft UDA.
- 2019-09-16· Computer Vision· 5 results
Bridging the domain gap in cross-lingual document classification
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
5
results
5 of 5 rows marked verified.