24 lines
649 B
Markdown
24 lines
649 B
Markdown
---
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base_model: bibocat/qwen3-ner-sft-4epochs-100k-merged
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library_name: transformers
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pipeline_tag: text-generation
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language:
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- vi
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tags:
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- qwen3
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- grpo
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- medical
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- named-entity-recognition
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- vietnamese
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---
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# Qwen3 Vietnamese Medical NER — GRPO v2
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BF16 merged checkpoint from the Qwen3 Vietnamese medical SFT model and the
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`models/qwen3-ner-grpo-v2` GRPO v2 LoRA adapter. The adapter was trained for
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one epoch on `data_train/grpo_v2/full_train.jsonl` with the span-aware v2
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reward.
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Use the bundled tokenizer and Qwen3 chat template. The output is a JSON array
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with `entity`, `type`, `position`, `assertions`, and `candidates` fields.
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