metadata
language:
- lus
license: apache-2.0
base_model: Qwen/Qwen2-Audio-7B
tags:
- generated_from_trainer
datasets:
- andrewbawitlung/mizonal-v3
metrics:
- wer
model-index:
- name: qwen3-asr-0.6b-mizonal3-E2-lus-v2026.06
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: MiZonal v3
type: andrewbawitlung/mizonal-v3
config: default
split: test
metrics:
- name: Wer
type: wer
value: 19.4954
qwen3-asr-0.6b-mizonal3-E2-lus-v2026.06
This model is a fine-tuned version of Qwen/Qwen2-Audio-7B on the MiZonal v3 dataset. Note: ~1 hour of conversational speech was added to this dataset version.
It achieves the following results on the evaluation set:
- Wer: 19.4954
Model description
Experiment Configurations
This repository is part of a series of experiments. The different configurations are:
- E1 (Baseline): Standard training configuration.
- E2 (Noise): Training with background noise augmentation.
- E3 (Speed): Training with speed perturbation augmentation.
- E4 (SpecAug): Training with SpecAugment (time and frequency masking).
- E5 (Combined): Training with a combination of all augmentations.
All Models in this Family
| Experiment | Hugging Face Repository |
|---|---|
| E1 (Baseline) | andrewbawitlung/qwen3-asr-0.6b-mizonal3-E1-lus-v2026.06 |
| E2 (Noise) | andrewbawitlung/qwen3-asr-0.6b-mizonal3-E2-lus-v2026.06 |
| E3 (Speed) | andrewbawitlung/qwen3-asr-0.6b-mizonal3-E3-lus-v2026.06 |
| E4 (SpecAug) | andrewbawitlung/qwen3-asr-0.6b-mizonal3-E4-lus-v2026.06 |
| E5 (Combined) | andrewbawitlung/qwen3-asr-0.6b-mizonal3-E5-lus-v2026.06 |
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
More information needed