metadata
tags:
- named-entity-recognition
- clinical-nlp
- multiclinner
- multi-head-crf
- token-classification
language:
- sv
license: apache-2.0
MultiClinNER SV Models
Clinical NER models for SV, trained with Multi-Head CRF architecture.
Best Model
- Model:
KB-C64-H3-E60-Arandom-%0.1-P0.5-42 - Best F1: 0.7051
- Branch:
main
Usage
# Load the best model (main branch)
from transformers import AutoTokenizer, AutoModelForTokenClassification
model = AutoModelForTokenClassification.from_pretrained("IEETA/MultiClinNER-SV")
tokenizer = AutoTokenizer.from_pretrained("IEETA/MultiClinNER-SV")
# Load a specific model variant
model = AutoModelForTokenClassification.from_pretrained("IEETA/MultiClinNER-SV", revision="BRANCH_NAME")
All Models (11 variants)
| Branch | Model | Best? |
|---|---|---|
main |
KB-C64-H3-E60-Arandom-%0.1-P0.5-42 |
Yes |
KB-C64-H3-E60-Arandom-pct0.1-P0.2-123 |
KB-C64-H3-E60-Arandom-%0.1-P0.2-123 |
|
KB-C64-H3-E60-Arandom-pct0.1-P0.2-42 |
KB-C64-H3-E60-Arandom-%0.1-P0.2-42 |
|
KB-C64-H3-E60-Arandom-pct0.1-P0.2-999 |
KB-C64-H3-E60-Arandom-%0.1-P0.2-999 |
|
KB-C64-H3-E60-Arandom-pct0.1-P0.5-123 |
KB-C64-H3-E60-Arandom-%0.1-P0.5-123 |
|
KB-C64-H3-E60-Arandom-pct0.25-P0.2-42 |
KB-C64-H3-E60-Arandom-%0.25-P0.2-42 |
|
KB-C64-H3-E60-Arandom-pct0.25-P0.2-999 |
KB-C64-H3-E60-Arandom-%0.25-P0.2-999 |
|
KB-C64-H3-E60-Aukn-pct0.1-P0.5-123 |
KB-C64-H3-E60-Aukn-%0.1-P0.5-123 |
|
KB-C64-H3-E60-Aukn-pct0.1-P0.5-42 |
KB-C64-H3-E60-Aukn-%0.1-P0.5-42 |
|
KB-C64-H3-E60-Aukn-pct0.25-P0.2-123 |
KB-C64-H3-E60-Aukn-%0.25-P0.2-123 |
|
KB-C64-H3-E60-Aukn-pct0.25-P0.2-42 |
KB-C64-H3-E60-Aukn-%0.25-P0.2-42 |