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Independent publisher

Natthawut Adulyanukosol

na399

Models in Library3
Datasets in Library0
Models on Hugging Face1
Followers—

Compare the published evidence

This profile connects the 3 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Token classification.

Reported licenses: apache-2.0, other. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

This is the epoch 4 LoRA adapter from job 17089, trained to extract exact clinical evidence spans and explicit attributes under the ClinicalEvidence v3 span schema. It is an individual research adapter, not the final winner of the current multi-seed campaign. The repository contains a PEFT adapter. Load it on the pinned public base model, then pass the v3 schema. The base revision below is a verified public reference snapshot whose core runtime assets match the frozen base assets used in this campaign; it does not establish the historical resolved revision used by the training process. The code above is illustrative and was not executed as part of this card. Use schemav3.json for the…

Open weights other peft

The model identifies candidate clinical evidence spans in English text. Its v3 schema has six core entity types and explicit attributes. Shared attributes are three complete, qualified, single-label groups: assertion (affirmed, hypothetical, negated, ruled out, uncertain), experiencer (patient, family, other), and time frame (current, recent, historical, future). The registry also defines family-specific choice and literal-span labels. Use the complete versioned schema in schemav3.json; do not substitute an open-ended or partial attribute schema. An absent axis in a source row was masked during training; it was not a negative or an implicit default. Defaults are ordinary explicit values…

Open weights apache-2.0 peft

The model identifies candidate clinical evidence spans in English text. Its v3 schema has six core entity types and explicit attributes. Shared attributes are three complete, qualified, single-label groups: assertion (affirmed, hypothetical, negated, ruled out, uncertain), experiencer (patient, family, other), and time frame (current, recent, historical, future). The registry also defines family-specific choice and literal-span labels. Use the complete versioned schema in schemav3.json; do not substitute an open-ended or partial attribute schema. An absent axis in a source row was masked during training; it was not a negative or an implicit default. Defaults are ordinary explicit values…

Open weights apache-2.0 peft