Model card
Fairseq S2T (MuST-C).
Meta AIopen-source~150M paramsConformer encoder + transformer decoder
Fairseq S2T baseline for MuST-C.
§ 01 · Benchmarks
Every benchmark Fairseq S2T (MuST-C) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | MuST-C En-De tst-COMMON | Speech · Speech Translation | bleu | 22.7% | #3 | — | 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.
§ 04 · Related models
Other Meta AI models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
editorial
1
result
0 of 1 rows marked verified.