Model card
Canary-Qwen-2.5B.
NVIDIAopen-source2.5B paramsFastConformer encoder + Qwen2 LM decoder
§ 02 · Benchmarks
Every benchmark Canary-Qwen-2.5B has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | LibriSpeech | Speech · Speech Recognition | wer | 3.1% | #28 | — | source ↗ |
| 02 | GigaSpeech | Speech · Speech Recognition | wer | 9.4% | #45 | — | source ↗ |
| 03 | Earnings-22 | Speech · Speech Recognition | wer | 10.4% | #46 | — | source ↗ |
| 04 | TED-LIUM | Speech · Speech Recognition | wer | 2.7% | #47 | — | source ↗ |
| 05 | VoxPopuli | Speech · Speech Recognition | wer | 5.7% | #54 | — | source ↗ |
| 06 | SPGISpeech | Speech · Speech Recognition | wer | 1.9% | #55 | — | 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 · Papers
1 paper with results for Canary-Qwen-2.5B.
- 2025-03-07· 6 results
Training and Inference Efficiency of Encoder-Decoder Speech Models
§ 05 · Related models
Other NVIDIA models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
6
results
0 of 6 rows marked verified.