Model card
Massively Multilingual Sentence Embeddings.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark Massively Multilingual Sentence Embeddings has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | mldoc-zero-shot-english-to-italian | Computer Vision · Optical Character Recognition | accuracy | 69.4% | #2 | 2018-12-26 | source ↗ |
| 02 | mldoc-zero-shot-english-to-french | Computer Vision · Optical Character Recognition | accuracy | 78.0% | #3 | 2018-12-26 | source ↗ |
| 03 | mldoc-zero-shot-english-to-german | Computer Vision · Optical Character Recognition | accuracy | 84.8% | #3 | 2018-12-26 | source ↗ |
| 04 | mldoc-zero-shot-english-to-japanese | Computer Vision · Optical Character Recognition | accuracy | 60.3% | #3 | 2018-12-26 | source ↗ |
| 05 | mldoc-zero-shot-english-to-russian | Computer Vision · Optical Character Recognition | accuracy | 67.8% | #3 | 2018-12-26 | source ↗ |
| 06 | mldoc-zero-shot-english-to-spanish | Computer Vision · Optical Character Recognition | accuracy | 77.3% | #3 | 2018-12-26 | source ↗ |
| 07 | mldoc-zero-shot-english-to-chinese | Computer Vision · Optical Character Recognition | accuracy | 71.9% | #5 | 2018-12-26 | 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.
§ 02 · Strengths by area
Where Massively Multilingual Sentence Embeddings actually performs.
§ 03 · Papers
1 paper with results for Massively Multilingual Sentence Embeddings.
- 2018-12-26· Computer Vision· 7 results
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
7
results
7 of 7 rows marked verified.