Model: Tirendaz/roberta-base-NER
Author: Tirendaz
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, xlm-roberta, token-classification, en, dataset:xtreme, base_model:FacebookAI/xlm-roberta-base, base_model:finetune:FacebookAI/xlm-roberta-base, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: FacebookAI/xlm-roberta-base
Card metadata: license: mit
base_model: xlm-roberta-base
datasets: xtreme
metrics: precision, recall, f1, accuracy
model-index: name: roberta-base-NER
results: task: name: Token Classification
type: token-classification
dataset: name: xtreme
type: xtreme
config: PAN-X.en
split: validation
args: PAN-X.en
metrics: name: Precision
type: precision
value: 0.8003614625330182
verified: no, name: Recall
type: recall
value: 0.8110735418427726
verified: no, name: F1
type: f1
value: 0.8056818976978517
verified: no, name: Accuracy
type: accuracy
value: 0.9194332683336213
verified: no
language: en
Likes: 2 | All-time downloads: 10309
Created: 2023-10-26 09:11:08