Model card
XLMft UDA.
UnknownunknownUnknown paramsUnknown5 current SOTA
Imported from Papers With Code
§ 02 · 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 · Strengths by area
Where XLMft UDA actually performs.
§ 04 · Papers
1 paper with results for XLMft UDA.
- 2019-09-16· Computer Vision· 5 results
Bridging the domain gap in cross-lingual document classification
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
5
results
5 of 5 rows marked verified.