Model: ai-forever/bert-base-NER-reptile-5-datasets
Author: ai-forever
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, bert, token-classification, PyTorch, en, dataset:conll2003, dataset:wnut_17, dataset:jnlpba, dataset:conll2012, dataset:BTC, dataset:dfki-nlp/few-nerd, arxiv:2010.02405, model-index, region:us
Card metadata: language: en
inference: no
datasets: conll2003, wnut_17, jnlpba, conll2012, BTC, dfki-nlp/few-nerd
tags: PyTorch
model-index: name: bert-base-NER-reptile-5-datasets
results: task: name: few-shot-ner
type: named-entity-recognition
dataset: name: few-nerd-inter
type: named-entity-recognition
metrics: name: 5 way 1~2 shot
type: f1
value: 56.12
verified: no, name: 5-way 5~10-shot
type: f1
value: 62.7
verified: no, name: 10-way 1~2-shot
type: f1
value: 50.3
verified: no, name: 10-way 5~10-shot
type: f1
value: 58.82
verified: no
Likes: 4 | All-time downloads: 1807
Created: 2022-03-02 23:29:05