Qwen3-ASR-1.7B Albanian
Kushtrim/Qwen3-ASR-1.7B-Albanian is an Albanian automatic speech recognition
model fine-tuned from
Qwen/Qwen3-ASR-1.7B.
The released weights originate from training step 157,772, at approximately one recorded training epoch.
The training collection contains a couple thousand well-curated hours of Albanian audio and transcripts.
Model details
| Property | Value |
|---|---|
| Task | Automatic speech recognition |
| Language | Albanian (sq, Shqip) |
| Base model | Qwen3-ASR-1.7B |
| Architecture | Qwen3ASRForConditionalGeneration |
| Saved precision | BF16 |
| Audio feature size | 128 |
| Saved training step | 157,772 |
| Recorded epoch | 1.000 |
| Per-device training batch size | 8 |
| Most recent logged evaluation loss | 0.09337 at step 157,500 |
Evaluation loss is reported only as a training diagnostic; it should not be interpreted as WER or as a production-quality benchmark.
Usage
pip install -U qwen-asr
import torch
from qwen_asr import Qwen3ASRModel
model = Qwen3ASRModel.from_pretrained(
"Kushtrim/Qwen3-ASR-1.7B-Albanian",
dtype=torch.bfloat16,
device_map="cuda:0",
max_inference_batch_size=32,
max_new_tokens=256,
)
results = model.transcribe(
audio="path/to/audio.wav",
language="Albanian",
)
print(results[0].text)
For automatic language identification, set language=None.
Intended use
- Albanian speech transcription and ASR research.
- General-purpose Albanian speech-to-text experiments.
- Continued fine-tuning or adaptation to a specific acoustic domain.
Limitations
- No standardized WER/CER result is currently documented for this checkpoint.
- Quality may vary across Albanian dialects, speakers, noise levels, and specialized terminology.
- ASR output may omit or hallucinate words. Human verification is required for consequential applications.
- Evaluate on a representative held-out dataset before deployment.
Provenance
The architecture and training statistics above were recovered from
config.json, preprocessor_config.json, and trainer_state.json. Dataset
composition, preprocessing, and benchmark methodology should be added when
documented. These weights were promoted from the training snapshot originally
stored as Kushtrim/Qwen3-ASR-1.7B-Shqip-157772.
Development and attribution
- Original architecture and base weights: Qwen Team, through
Qwen/Qwen3-ASR-1.7B - Albanian adaptation, fine-tuning, training-data curation, checkpoint preparation, packaging, and release: Kushtrim Visoka
- Model card and ongoing maintenance: Kushtrim Visoka
Acknowledgements
This work builds on Qwen3-ASR by the Qwen team. The original architecture and base weights remain the work of their respective authors. This repository documents the Albanian fine-tuning and release work carried out by Kushtrim Visoka and does not claim authorship of the original Qwen3-ASR model.
Citation
If you use this fine-tuned model, please cite this repository and the original Qwen3-ASR model.
@misc{visoka_qwen3_asr_17b_albanian_2026,
author = {Visoka, Kushtrim},
title = {Qwen3-ASR-1.7B Albanian},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/Kushtrim/Qwen3-ASR-1.7B-Albanian},
note = {Fine-tuned from Qwen/Qwen3-ASR-1.7B}
}