Modelpublic

IEETA/MultiClinNER-EN

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face

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Model Card

MultiClinNER EN Models

Clinical NER models for EN, trained with Multi-Head CRF architecture.

Best Model

—Model: microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.25-P0.5-42
—Best F1: 0.7368
—Branch: main

Usage

python

# Load the best model (main branch)
from transformers import AutoTokenizer, AutoModelForTokenClassification

model = AutoModelForTokenClassification.from_pretrained("IEETA/MultiClinNER-EN")
tokenizer = AutoTokenizer.from_pretrained("IEETA/MultiClinNER-EN")

# Load a specific model variant
model = AutoModelForTokenClassification.from_pretrained("IEETA/MultiClinNER-EN", revision="BRANCH_NAME")

All Models (20 variants)

Branch	Model	Best?
`main`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.25-P0.5-42`	Yes
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Anone-pct0.2-P0.5-123`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Anone-%0.2-P0.5-123`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Anone-pct0.2-P0.5-42`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Anone-%0.2-P0.5-42`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Anone-pct0.2-P0.5-456`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Anone-%0.2-P0.5-456`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Anone-pct0.2-P0.5-999`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Anone-%0.2-P0.5-999`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-pct0.1-P0.5-123`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.1-P0.5-123`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-pct0.1-P0.5-42`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.1-P0.5-42`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-pct0.1-P0.5-456`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.1-P0.5-456`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-pct0.1-P0.5-999`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.1-P0.5-999`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-pct0.25-P0.5-123`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.25-P0.5-123`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-pct0.25-P0.5-456`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.25-P0.5-456`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-pct0.25-P0.5-999`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Arandom-%0.25-P0.5-999`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-pct0.25-P0.2-123`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-%0.25-P0.2-123`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-pct0.25-P0.2-42`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-%0.25-P0.2-42`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-pct0.25-P0.2-456`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-%0.25-P0.2-456`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-pct0.25-P0.2-999`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-%0.25-P0.2-999`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-pct0.25-P0.5-123`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-%0.25-P0.5-123`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-pct0.25-P0.5-42`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-%0.25-P0.5-42`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-pct0.25-P0.5-456`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-%0.25-P0.5-456`
`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-pct0.25-P0.5-999`	`microsoft-BiomedNLP-PubMedBERT-large-uncased-abstract-C64-H3-E30-Aukn-%0.25-P0.5-999`