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qwen3-asr-0.6b-mizonal3-E3-lus-v2026.06

Automatic Speech Recognition
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qwen3-asr-0.6b-mizonal3-E3-lus-v2026.06
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---
language:
- lus
license: apache-2.0
base_model: Qwen/Qwen2-Audio-7B
tags:
- generated_from_trainer
datasets:
- andrewbawitlung/mizonal-v3
metrics:
- wer
- cer
model-index:
- name: qwen3-asr-0.6b-mizonal3-E3-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: 18.9850
    - name: Cer
      type: cer
      value: 4.2170
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# qwen3-asr-0.6b-mizonal3-E3-lus-v2026.06

This model is a fine-tuned version of [Qwen/Qwen2-Audio-7B](https://huggingface.co/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: 18.9850
- Cer: 4.2170

## 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](https://huggingface.co/andrewbawitlung/qwen3-asr-0.6b-mizonal3-E1-lus-v2026.06) |
| **E2 (Noise)** | [andrewbawitlung/qwen3-asr-0.6b-mizonal3-E2-lus-v2026.06](https://huggingface.co/andrewbawitlung/qwen3-asr-0.6b-mizonal3-E2-lus-v2026.06) |
| **E3 (Speed)** | [andrewbawitlung/qwen3-asr-0.6b-mizonal3-E3-lus-v2026.06](https://huggingface.co/andrewbawitlung/qwen3-asr-0.6b-mizonal3-E3-lus-v2026.06) |
| **E4 (SpecAug)** | [andrewbawitlung/qwen3-asr-0.6b-mizonal3-E4-lus-v2026.06](https://huggingface.co/andrewbawitlung/qwen3-asr-0.6b-mizonal3-E4-lus-v2026.06) |
| **E5 (Combined)** | [andrewbawitlung/qwen3-asr-0.6b-mizonal3-E5-lus-v2026.06](https://huggingface.co/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

### Training hyperparameters

More information needed

### Training results

| step | epoch | train_loss | eval_loss | eval_wer | eval_cer | learning_rate | grad_norm |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 200 | 0.12143290831815422 | 0.7348 | 1.0950071811676025 | 0.6606986474652136 | 0.21059513712185468 | 1.5075757575757577e-05 | 33.0 |
| 400 | 0.24286581663630843 | 0.2043 | 0.4572545289993286 | 0.3625571664882748 | 0.09278696635566865 | 1.979089219330855e-05 | 9.0 |
| 600 | 0.36429872495446264 | 0.1685 | 0.3414927124977112 | 0.2738153157536246 | 0.06606940910376025 | 1.948110285006196e-05 | 8.5 |
| 800 | 0.48573163327261687 | 0.1129 | 0.3106901943683624 | 0.24909993188673737 | 0.05797639242295731 | 1.9171313506815367e-05 | 5.5 |
| 1000 | 0.607164541590771 | 0.1239 | 0.28289029002189636 | 0.22876325776004672 | 0.05285199321458863 | 1.8861524163568775e-05 | 4.625 |
| 1200 | 0.7285974499089253 | 0.0943 | 0.26755592226982117 | 0.21767052641821544 | 0.052304212609556124 | 1.8551734820322184e-05 | 5.0 |
| 1400 | 0.8500303582270795 | 0.074 | 0.2625117599964142 | 0.21124841879926048 | 0.04889383658467628 | 1.8241945477075592e-05 | 4.53125 |
| 1600 | 0.9714632665452337 | 0.0765 | 0.25841450691223145 | 0.2107618954947942 | 0.04935326547921968 | 1.7932156133828997e-05 | 3.5625 |
| 1800 | 1.092896174863388 | 0.0375 | 0.2680838108062744 | 0.20725892770263696 | 0.04719748374328527 | 1.7622366790582406e-05 | 4.09375 |
| 2000 | 1.2143290831815423 | 0.0411 | 0.2577139735221863 | 0.19937725017028315 | 0.04564249363867685 | 1.731257744733581e-05 | 1.9609375 |
| 2200 | 1.3357619914996963 | 0.0347 | 0.26226091384887695 | 0.19558236839544615 | 0.04429954763924229 | 1.7002788104089222e-05 | 5.03125 |
| 2400 | 1.4571948998178508 | 0.0325 | 0.26724469661712646 | 0.19840420356135058 | 0.045183064744133444 | 1.669299876084263e-05 | 5.09375 |
| 2600 | 1.5786278081360048 | 0.0306 | 0.2619116008281708 | 0.1900360027245305 | 0.04373409669211196 | 1.6383209417596036e-05 | 2.796875 |
| 2800 | 1.7000607164541592 | 0.0282 | 0.26362183690071106 | 0.19217670526418215 | 0.04311563471868815 | 1.6073420074349444e-05 | 2.921875 |
| 3000 | 1.8214936247723132 | 0.0266 | 0.26117631793022156 | 0.18380850442736207 | 0.042355810008481765 | 1.576363073110285e-05 | 2.703125 |
| 3200 | 1.9429265330904675 | 0.0183 | 0.26155000925064087 | 0.19081444001167655 | 0.04438789934973141 | 1.5453841387856258e-05 | 4.0 |
| 3400 | 2.0643594414086217 | 0.0107 | 0.28095561265945435 | 0.22506568064610294 | 0.08803364433135426 | 1.5144052044609668e-05 | 2.65625 |
| 3600 | 2.185792349726776 | 0.0158 | 0.27657684683799744 | 0.18653303493237325 | 0.04232046932428612 | 1.4834262701363073e-05 | 2.734375 |
| 3800 | 2.30722525804493 | 0.0114 | 0.2837420701980591 | 0.1877979955239856 | 0.043345349165959855 | 1.4524473358116483e-05 | 1.6328125 |
| 4000 | 2.4286581663630846 | 0.0135 | 0.2861778140068054 | 0.18945217475917098 | 0.04308029403449251 | 1.4214684014869891e-05 | 6.9375 |
| 4200 | 2.5500910746812386 | 0.0123 | 0.29045864939689636 | 0.18458694171450812 | 0.04239115069267741 | 1.3904894671623296e-05 | 4.53125 |
| 4400 | 2.6715239829993926 | 0.0073 | 0.2967182695865631 | 0.18546268366254742 | 0.04309796437659033 | 1.3595105328376705e-05 | 2.65625 |
| 4600 | 2.792956891317547 | 0.0073 | 0.3001556098461151 | 0.18205702053128345 | 0.042762227876731694 | 1.3285315985130111e-05 | 2.28125 |
| 4800 | 2.9143897996357016 | 0.0074 | 0.30166083574295044 | 0.18030553663520482 | 0.04210842521911224 | 1.297552664188352e-05 | 1.8671875 |
| 5000 | 3.0358227079538556 | 0.0042 | 0.30652889609336853 | 0.18303006714021602 | 0.04288592027141645 | 1.2665737298636928e-05 | 0.578125 |
| 5200 | 3.1572556162720096 | 0.0034 | 0.31825488805770874 | 0.18118127858324415 | 0.04159598529827537 | 1.2355947955390335e-05 | 0.796875 |
| 5400 | 3.278688524590164 | 0.0027 | 0.3178451657295227 | 0.18186241120949692 | 0.04216143624540571 | 1.2046158612143743e-05 | 1.7578125 |
| 5600 | 3.400121432908318 | 0.0039 | 0.31455591320991516 | 0.18234893451396322 | 0.042355810008481765 | 1.1736369268897152e-05 | 0.48828125 |
| 5800 | 3.5215543412264725 | 0.0024 | 0.3200189471244812 | 0.1821543251921767 | 0.04281523890302516 | 1.1426579925650558e-05 | 0.2890625 |
| 6000 | 3.6429872495446265 | 0.0015 | 0.31965574622154236 | 0.17884596672180597 | 0.04228512864009047 | 1.1116790582403967e-05 | 0.4296875 |
| 6200 | 3.764420157862781 | 0.0021 | 0.3236559331417084 | 0.17942979468716552 | 0.043044953350296865 | 1.0807001239157374e-05 | 0.98828125 |
| 6400 | 3.885853066180935 | 0.002 | 0.32796546816825867 | 0.17952709934805877 | 0.04249717274526435 | 1.0497211895910782e-05 | 0.8515625 |
| 6600 | 4.007285974499089 | 0.0013 | 0.32159319519996643 | 0.17826213875644642 | 0.041560644614079725 | 1.018742255266419e-05 | 0.291015625 |
| 6800 | 4.128718882817243 | 0.0014 | 0.3293284475803375 | 0.17894327138269922 | 0.04143695221939497 | 9.877633209417597e-06 | 0.283203125 |
| 7000 | 4.250151791135398 | 0.0011 | 0.32988446950912476 | 0.18001362265252505 | 0.04148996324568844 | 9.567843866171006e-06 | 0.18359375 |
| 7200 | 4.371584699453552 | 0.0014 | 0.33286359906196594 | 0.17826213875644642 | 0.04101286400904722 | 9.258054522924412e-06 | 0.310546875 |
| 7400 | 4.493017607771706 | 0.0019 | 0.33369237184524536 | 0.1790405760435925 | 0.041118886061634156 | 8.948265179677819e-06 | 2.4375 |
| 7600 | 4.61445051608986 | 0.0013 | 0.3339177668094635 | 0.17777561545198015 | 0.04103053435114504 | 8.638475836431227e-06 | 0.4375 |
| 7800 | 4.735883424408015 | 0.0014 | 0.33680835366249084 | 0.17942979468716552 | 0.04157831495617755 | 8.328686493184636e-06 | 0.306640625 |
| 8000 | 4.857316332726169 | 0.0017 | 0.3384738266468048 | 0.18040284129609807 | 0.04198473282442748 | 8.018897149938043e-06 | 0.248046875 |
| 8200 | 4.978749241044323 | 0.0014 | 0.3357013761997223 | 0.17884596672180597 | 0.04170200735086231 | 7.709107806691451e-06 | 0.369140625 |
| 8400 | 5.100182149362477 | 0.0009 | 0.33680522441864014 | 0.1797217086698453 | 0.04228512864009047 | 7.399318463444858e-06 | 0.2353515625 |
| 8600 | 5.221615057680632 | 0.0009 | 0.3375456929206848 | 0.17865135740001947 | 0.04279756856092734 | 7.089529120198265e-06 | 0.138671875 |
| 8800 | 5.343047965998785 | 0.0012 | 0.3405899703502655 | 0.17962440400895202 | 0.04180802940344925 | 6.779739776951674e-06 | 0.158203125 |
| 9000 | 5.46448087431694 | 0.001 | 0.34015366435050964 | 0.17884596672180597 | 0.042355810008481765 | 6.469950433705081e-06 | 0.30078125 |
| 9200 | 5.585913782635094 | 0.0009 | 0.3399837613105774 | 0.17933249002627225 | 0.04232046932428612 | 6.160161090458489e-06 | 0.2060546875 |
| 9400 | 5.707346690953249 | 0.0013 | 0.3426145315170288 | 0.179235185365379 | 0.04249717274526435 | 5.850371747211896e-06 | 0.2314453125 |
| 9600 | 5.828779599271402 | 0.0012 | 0.3423478603363037 | 0.179235185365379 | 0.04141928187729715 | 5.540582403965305e-06 | 0.2275390625 |
| 9800 | 5.950212507589557 | 0.001 | 0.34150007367134094 | 0.17913788070448575 | 0.041825699745547076 | 5.2307930607187115e-06 | 0.1796875 |
| 10000 | 6.071645415907711 | 0.001 | 0.34283334016799927 | 0.17874866206091272 | 0.04251484308736217 | 4.921003717472119e-06 | 0.2197265625 |
| 10200 | 6.193078324225866 | 0.0012 | 0.34264615178108215 | 0.17894327138269922 | 0.042143765903307887 | 4.6112143742255274e-06 | 0.2294921875 |
| 10400 | 6.314511232544019 | 0.001 | 0.34246060252189636 | 0.1776783107910869 | 0.04080081990387334 | 4.301425030978935e-06 | 0.201171875 |
| 10600 | 6.435944140862174 | 0.001 | 0.343102365732193 | 0.17913788070448575 | 0.04283290924512299 | 3.9916356877323426e-06 | 0.1279296875 |
| 10800 | 6.557377049180328 | 0.0011 | 0.34253108501434326 | 0.18050014595699135 | 0.042762227876731694 | 3.68184634448575e-06 | 0.2236328125 |
| 11000 | 6.678809957498482 | 0.0011 | 0.34328991174697876 | 0.1797217086698453 | 0.042550183771557816 | 3.372057001239158e-06 | 0.3203125 |
| 11200 | 6.800242865816636 | 0.0012 | 0.34304308891296387 | 0.17942979468716552 | 0.042938931297709926 | 3.0622676579925653e-06 | 0.26953125 |
| 11400 | 6.9216757741347905 | 0.0023 | 0.34302008152008057 | 0.18030553663520482 | 0.042638535482046935 | 2.752478314745973e-06 | 0.193359375 |
| 11600 | 7.043108682452945 | 0.001 | 0.3429974615573883 | 0.17962440400895202 | 0.043044953350296865 | 2.442688971499381e-06 | 0.2578125 |
| 11800 | 7.164541590771099 | 0.001 | 0.3425600230693817 | 0.18040284129609807 | 0.04249717274526435 | 2.1328996282527884e-06 | 0.220703125 |
| 12000 | 7.285974499089253 | 0.001 | 0.3428310751914978 | 0.18050014595699135 | 0.04270921685043822 | 1.823110285006196e-06 | 0.16796875 |
| 12200 | 7.407407407407407 | 0.001 | 0.34253931045532227 | 0.17845674807823295 | 0.04226745829799265 | 1.5133209417596037e-06 | 0.427734375 |
| 12400 | 7.528840315725562 | 0.0009 | 0.34326833486557007 | 0.17952709934805877 | 0.04240882103477523 | 1.2035315985130113e-06 | 0.2138671875 |
| 12600 | 7.6502732240437155 | 0.0009 | 0.34236183762550354 | 0.17981901333073855 | 0.04228512864009047 | 8.93742255266419e-07 | 0.390625 |
| 12800 | 7.77170613236187 | 0.001 | 0.3430650234222412 | 0.1797217086698453 | 0.04244416171897088 | 5.839529120198266e-07 | 0.2392578125 |
| 13000 | 7.893139040680024 | 0.0009 | 0.3429511487483978 | 0.18079205993967112 | 0.04313330506078598 | 2.7416356877323424e-07 | 0.59765625 |