| --- |
| library_name: premove-itn |
| language: [en] |
| base_model: [microsoft/deberta-v3-large] |
| tags: [inverse-text-normalization, speech-processing, voice-agents] |
| license: mit |
| --- |
| |
| # Premove ITN v0.2.0 |
|
|
| This release updates the contextual candidate scorer used by `premove-itn`. |
| The deterministic Rust candidate generators and exact decoder are unchanged. |
|
|
| Load it through the matching Python package: |
|
|
| ```python |
| from premove_itn import PremoveITN |
| |
| itn = PremoveITN.from_pretrained(revision="v0.2.0") |
| print(itn.normalize("meet me at two thirty")) |
| # meet me at 02:30 |
| ``` |
|
|
| ## Training |
|
|
| The v0.1.0 scorer was adapted for three epochs on 7,440 controlled, |
| single-collision TIME-versus-identifier records. No replay or dual-collision |
| examples were used. Epoch 3 was selected using a separate 200-row development |
| set before any frozen test was inspected. |
|
|
| ## Results |
|
|
| | Metric | v0.1.0 | v0.2.0 | |
| | --- | ---: | ---: | |
| | Context record | 51.2% | **86.2%** | |
| | Counterfactual pair | 6.4% | **72.4%** | |
| | Identifier | 29.6% | **98.0%** | |
| | Time | 72.8% | **74.4%** | |
| | Dual span | 45.0% | **96.0%** | |
| | Dual sentence exact | 16.0% | **92.0%** | |
| | Broad strict exact | 40.5% | **43.7%** | |
|
|
| The contextual and dual benchmarks are synthetic controlled evaluations. They |
| do not estimate production voice-agent accuracy. The broad benchmark gained 86 |
| new exact rows and lost 38 previously exact rows. Localized losses were most |
| visible in ORDINAL, MONEY, URL, and DIGIT_SEQUENCE. |
| |
| ## Limitations |
| |
| - TIME recall on the controlled single-collision test is 74.4%, substantially |
| below the 98.0% identifier result. |
| - The model is English-only and requires the `premove-itn` candidate graph and |
| decoder. It is not a generic Transformers model. |
| - The approximately 435.6M-parameter scorer has a large download and |
| multi-second initialization cost. |
| |
| ## Release identity |
| |
| - Artifact version: `v0.2.0` |
| - Required package version: `0.2.0` |
| - Hub repository: `premove-ai/premove-itn` |
| - Base model: `microsoft/deberta-v3-large` |
| - Base revision: `64a8c8eab3e352a784c658aef62be1662607476f` |
| - Source checkpoint SHA-256: `10a338d57b6d619f52259a58aca210ecb78f47de44baf0c25477a8f5b06b5d39` |
| - Model SHA-256: `0b6f36aa32311d0c495e1c5307d5e34463e52b4dc283ab9030bc2f54e1bf1152` |
| |
| Source and evaluation evidence are available from |
| [`premove-ai/premove-itn`](https://github.com/premove-ai/premove-itn). |
| |
