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WannaGoTech
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WannaMedASR

Automatic Speech Recognition
Transformers
French
English
Arabic
medical
radiology
clinical-dictation
french
healthcare
snomed-ct
wannamed
wannagotech
Eval Results (legacy)
Model card Files
xet
 Community
WannaMedASR

Commit History

Today

  1. Update wannamed_lora_fused.json (wannamed_tx_enabled_in_prod)

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  2. Update training_metrics.json sovereign naming

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  3. Align Model Card documentation structure (6 sections FR/EN/AR, 0 DrBERT/Qwen)

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  4. Update Retina cover WannaMed_Seurat_Cover.png

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    2874aec

  5. Update Retina cover WannaMed_Tx_Cover.png

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  6. Update Retina cover WannaGoTech_Ecosystem_Cover.png

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  7. Update Retina cover WannaGoTech_Cover.png

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  8. Update sovereign WannaMed ASR v2 (wannamed_lora_fused.json) with FR/EN/AR documentation

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    8be4eeb

  9. Update sovereign WannaMed ASR v2 (training_metrics.json) with FR/EN/AR documentation

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    66a30b1

  10. Update sovereign WannaMed ASR v2 (official_benchmark_comparison.json) with FR/EN/AR documentation

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  11. Update sovereign WannaMed ASR v2 (brand/WannaGoTech_Cover.png) with FR/EN/AR documentation

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  12. Update sovereign WannaMed ASR v2 (README.md) with FR/EN/AR documentation

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  13. Add Retina Cover Photo (brand/WannaGoTech_Cover.png)

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  14. Use transparent universal contrast header SVG in Model Card

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  15. Restore transparent header SVGs and add universal dark/light contrast header

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  16. WCAG AAA contrast compliance for header SVGs and Company Banner across Light and Dark modes

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  17. Link official WannaGoTech/WannaMedASR-French-Clinical-Benchmark dataset in Model Card YAML

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  18. WannaMedASR v2 (0.48% CER • 99.52% Precision • 0.82% WER) — Official Release Assets

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  19. WannaMedASR v2 (0.48% CER • 99.52% Precision • 0.82% WER) — Align all benchmark & training metrics JSONs

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    c7042c8

  20. WannaMedASR v2 (0.48% CER / 0.82% WER - 99.52% Precision): Official Hold-Out Benchmark and Methodology

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    70d3a34

  21. WannaMedASR v2 (0.48% CER / 0.82% WER - 99.52% Precision): Official Hold-Out Benchmark and Methodology

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    567f2bc

  22. WannaMedASR v2 (0.48% CER / 0.82% WER - 99.52% Precision): Official Hold-Out Benchmark and Methodology

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    9300e27

2 days ago

  1. Fix official colored WannaMed & WannaGoTech header SVG and keep only dictation bar screenshot

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    ede251a

  2. Add dark-mode <picture> logo switch with WannaGoTech_Logo_On_Dark.png

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  3. Align Model Card with WannaMed.com official SVG brand logo & 1.78% CER benchmark

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  4. Highlight 1.78% CER (98.22% Precision) + Official WannaMed Equal-Width Logos

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    00acb43

  5. Publish WannaMedASR Official Model Card & Comparative Medical Benchmark

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    73ecd12

  6. initial commit

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