Model: zhang19991111/roberta-large-spanmarker-STEM-NER
Author: zhang19991111
Pipeline: token-classification
Library: span-marker
Tags: span-marker, safetensors, token-classification, ner, named-entity-recognition, generated_from_span_marker_trainer, en, base_model:FacebookAI/roberta-large, base_model:finetune:FacebookAI/roberta-large, license:cc-by-sa-4.0, model-index, region:us
Base models (finetune): id: FacebookAI/roberta-large
Card metadata: language: en
license: cc-by-sa-4.0
library_name: span-marker
tags: span-marker, token-classification, ner, named-entity-recognition, generated_from_span_marker_trainer
metrics: precision, recall, f1
widget: Inductively Coupled Plasma - Mass Spectrometry ( ICP - MS ) analysis of Longcliffe SP52 limestone was undertaken to identify other impurities present , and the effect of sorbent mass and SO2 concentration on elemental partitioning in the carbonator between solid sorbent and gaseous phase was investigated , using a bubbler sampling system ., We extensively evaluate our work against benchmark and competitive protocols across a range of metrics over three real connectivity and GPS traces such as Sassy [ 44 ] , San Francisco Cabs [ 45 ] and Infocom 2006 [ 33 ] ., In this research , we developed a robust two - layer classifier that can accurately classify normal hearing ( NH ) from hearing impaired ( HI ) infants with congenital sensori - neural hearing loss ( SNHL ) based on their Magnetic Resonance ( MR ) images ., In situ Peak Force Tapping AFM was employed for determining morphology and nano - mechanical properties of the surface layer ., By means of a criterion of Gilmer for polynomially dense subsets of the ring of integers of a number field , we show that , if h∈K[X ] maps every element of OK of degree n to an algebraic integer , then h(X ) is integral - valued over OK , that is , h(OK)⊂OK .
pipeline_tag: token-classification
base_model: roberta-large
model-index: name: SpanMarker with roberta-large on my-data
results: task: type: token-classification
name: Named Entity Recognition
dataset: name: my-data
type: unknown
split: test
metrics: type: f1
value: 0.7147595356550579
name: F1
verified: no, type: precision
value: 0.7292724196277496
name: Precision
verified: no, type: recall
value: 0.7008130081300813
name: Recall
verified: no
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Created: 2024-01-22 01:52:38