Phi 2 Universal NER by Mit1208

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  Adapter Base model:adapter:microsoft/p...   Base model:microsoft/phi-2 Dataset:universal-ner/pile-ner...   En   Finetuned   Generated from trainer   Lora   Peft   Region:us   Safetensors   Tensorboard

Phi 2 Universal NER Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Universal NER (Mit1208/phi-2-universal-NER)
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Phi 2 Universal NER Parameters and Internals

Supported Languages 
en ()
Training Details 
Data Sources:
Universal-NER/Pile-NER-type
Methodology:
LLM NamePhi 2 Universal NER
Repository ๐Ÿค—https://huggingface.co/Mit1208/phi-2-universal-NER 
Base Model(s)  Phi 2   microsoft/phi-2
Required VRAM0 GB
Updated2025-09-14
MaintainerMit1208
Model Files  0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureAdapter
Model Max Length2048
Is Biasednone
Tokenizer ClassCodeGenTokenizer
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdense|q_proj|k_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Mit1208/phi-2-universal-NER.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124