---
license: cc-by-4.0
tags:
- automatic-speech-recognition
- persian
- farsi
- nemo
- canary
language:
- fa
- en
base_model: nvidia/canary-180m-flash
---

# Persian-heavy Canary 180M staged smart-init ASR

Experimental ASR-only adaptation of `nvidia/canary-180m-flash` for Persian-first bilingual ASR.

This checkpoint uses the newer staged adaptation path:

- Fresh Persian-heavy bilingual SentencePiece tokenizer.
- Smart vocabulary/embedding initialization from the original Canary tokenizer where possible.
- Stage 1: decoder/head adaptation with the encoder frozen.
- Stage 2: full-parameter continuation with a short initial encoder freeze.

Data mix:

- Persian: `Reza2kn/persian-asr-semi-clean-31h-awq-wer` selected/cleaned audio+text only.
- English: small FLEURS retention slice.
- Train split: 46,006 rows, about 31.742 hours.
- Validation split: 938 rows, about 0.652 hours.

Validation on the internal portable held-out split:

- Rows: 938
- WER: 0.341208 (34.12%)
- CER: 0.195946 (19.59%)

Artifact:

- `canary_180m_persian_semiclean31_staged_smart_gpu1_bd700.nemo`
- SHA256: `77fe2c46c30a507440b7129bb2efbb8e9b0e18622346509c7c46e99af16adb49`

This is still a research checkpoint, not yet an Android/CoreML/ONNX export. The earlier non-smart-init semiclean31 checkpoint was much worse, around 102% WER; this staged smart-init checkpoint is the first run where the adaptation is clearly learning.