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inference/ package in aalto-speech/dta-server; it will not
load with plain transformers because the architecture lives in that package.| checkpoint | finnish-v3_le40_mcasa_noac_eqcap2x_ttsfluall3_s2022 |
| test RMSE (98 held-out DTA recordings, calibrated) | 0.3854 |
| reportable CEFR range | 1.14 – 3.50 |
scorer/model.safetensors trained checkpoint (complete state dict)
whisper_finnish_v3/ Finnish ASR fine-tune, also the acoustic backbone. Whisper-medium.
qwen_base/ Qwen3.5-2B base (Apache-2.0)
assets/ task catalogue, calibrator and model card for THIS checkpointassets/ is uploaded alongside the weights on purpose. The container image also ships a copy,
and the two must agree — dta_scorer.config.check_weights_match_assets() refuses to start if
the mounted weights do not match the image's model card.assets/tasks.json.
See assets/model_card.json for full provenance, measured metrics and known limits.