| { | |
| "id": "bashkir-roberta-ner", | |
| "version": "v1", | |
| "status": "release_candidate", | |
| "type": "token_classification", | |
| "task": "Bashkir person named entity recognition", | |
| "language": [ | |
| "ba" | |
| ], | |
| "license": "apache-2.0", | |
| "source": "Fine-tuned BashkirRoBERTa encoder using Bashkir person-entity annotations; source texts are not redistributed.", | |
| "base_model": "failed09/bashkir-roberta", | |
| "created_at": "2026-09-29T19:47:12+00:00", | |
| "labels": [ | |
| "O", | |
| "B-PER", | |
| "I-PER" | |
| ], | |
| "default_artifact": "onnx/model_int8.onnx", | |
| "evaluation": { | |
| "protocol": "Public ONNX runtime on CPU, one sentence per invocation; exact person-span micro F1", | |
| "gold_sentences": 1013, | |
| "gold_fp32_f1": 0.8593644354293442, | |
| "gold_int8_f1": 0.8589309878213802, | |
| "authored_stress_sentences": 100, | |
| "authored_stress_fp32_f1": 0.9294117647058824, | |
| "authored_stress_int8_f1": 0.9230769230769231 | |
| }, | |
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| "example.py": { | |
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| }, | |
| "source_policy": "No training texts or evaluation examples are included in the public release." | |
| } | |