Download META.json from failed09/bashkir-roberta-token-lid: direct link, hf CLI and curl.
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https://huggingface.co/failed09/bashkir-roberta-token-lid/resolve/main/META.json
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hf download hf://failed09/bashkir-roberta-token-lid/META.json
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4.96 kB
| { | |
| "id": "bashkir-roberta-token-lid", | |
| "version": "v1.0-experimental", | |
| "status": "experimental_release_candidate", | |
| "type": "token_classification", | |
| "task": "Word-level Bashkir, Russian, Tatar and other-language identification", | |
| "language": [ | |
| "ba", | |
| "ru", | |
| "tt" | |
| ], | |
| "license": "apache-2.0", | |
| "base_model": "failed09/bashkir-roberta", | |
| "source": "Fine-tuned BashkirRoBERTa encoder with multilingual and conversational token annotations; original texts are not redistributed.", | |
| "annotation_provenance": "Rule-based annotations, curated multilingual conversational samples and linguistic review; not independently human-verified gold.", | |
| "created_at": "2026-10-01T18:08:35.195621+00:00", | |
| "labels": [ | |
| "O", | |
| "BA", | |
| "RU", | |
| "TAT", | |
| "OTHER" | |
| ], | |
| "default_artifact": "onnx/model_int8.onnx", | |
| "source_policy": "Only inference models, tokenizer, runtime, aggregate metrics and illustrative usage examples are included. Training data, annotation batches and evaluation corpora are excluded.", | |
| "tokenizer_metadata": "Training input paths and output prefix removed; vocabulary and inference parameters preserved.", | |
| "evaluation": { | |
| "summary_file": "benchmark_summary.json", | |
| "annotation_status": "Linguistically curated evaluation suites and reviewed conversational rubrics; not independent expert gold", | |
| "primary_authored_suite": { | |
| "fp32": { | |
| "cases": 40, | |
| "strict_lexical_tokens": 344, | |
| "ambiguous_tokens": 0, | |
| "strict_lexical_accuracy": 0.936046511627907, | |
| "exact_case_accuracy": 0.75, | |
| "high_confidence_errors": 16, | |
| "per_class": { | |
| "O": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1": 1.0, | |
| "support": 104 | |
| }, | |
| "BA": { | |
| "precision": 0.925, | |
| "recall": 0.9098360655737705, | |
| "f1": 0.9173553719008265, | |
| "support": 122 | |
| }, | |
| "RU": { | |
| "precision": 0.9736842105263158, | |
| "recall": 0.9946236559139785, | |
| "f1": 0.9840425531914894, | |
| "support": 186 | |
| }, | |
| "TAT": { | |
| "precision": 0.8125, | |
| "recall": 0.7222222222222222, | |
| "f1": 0.7647058823529411, | |
| "support": 36 | |
| }, | |
| "OTHER": { | |
| "precision": 0.0, | |
| "recall": 0, | |
| "f1": 0, | |
| "support": 0 | |
| } | |
| } | |
| }, | |
| "int8": { | |
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| "strict_lexical_tokens": 344, | |
| "ambiguous_tokens": 0, | |
| "strict_lexical_accuracy": 0.9476744186046512, | |
| "exact_case_accuracy": 0.825, | |
| "high_confidence_errors": 16, | |
| "per_class": { | |
| "O": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1": 1.0, | |
| "support": 104 | |
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| "BA": { | |
| "precision": 0.9333333333333333, | |
| "recall": 0.9180327868852459, | |
| "f1": 0.9256198347107439, | |
| "support": 122 | |
| }, | |
| "RU": { | |
| "precision": 0.9789473684210527, | |
| "recall": 1.0, | |
| "f1": 0.9893617021276596, | |
| "support": 186 | |
| }, | |
| "TAT": { | |
| "precision": 0.8235294117647058, | |
| "recall": 0.7777777777777778, | |
| "f1": 0.7999999999999999, | |
| "support": 36 | |
| }, | |
| "OTHER": { | |
| "precision": 0, | |
| "recall": 0, | |
| "f1": 0, | |
| "support": 0 | |
| } | |
| } | |
| } | |
| } | |
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