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Amada 2.0
New base model (mmBERT-base, chosen after a base-model bake-off), multilingual.
- Added: p_unknown ("information not provided"), 11 languages, French and English dictations.
- Data: 368,863 examples (GPT-6 Luna 200k, Cosmos translated about 81k, Cosmos original languages about 70k,
dictations about 29k). - Results vs 1.0: 11 languages 41.8 % -> 98.7 %, yes/no 89.6 % -> 96.5 %, choice 83.2 % -> 92.4 %, CPU 381 -> 150 ms.
- Known issues: 512 tokens max, weak on generic many-label classification (Banking77 0.337).
Install: unzip into a Release/ folder next to play.py, then python play.py --version 2.0. Keep tokenizer/ next to amada_model.onnx.
License: CC BY-NC-ND 4.0 (non-commercial, no sharing of modified versions). Base model notices: NOTICE.md.
Checksums (check the file with Get-FileHash <file> in PowerShell or sha256sum <file>):
SHA-256 4e93ac36304fecd99f5b7f6961e4260da019e16e234b118095dcc18181b879db amada-2.0.zip