Model: Tirendaz/my_ner_model
Author: Tirendaz
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, distilbert, token-classification, generated_from_trainer, dataset:wnut_17, base_model:distilbert/distilbert-base-uncased, base_model:finetune:distilbert/distilbert-base-uncased, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased
Card metadata: license: apache-2.0
base_model: distilbert-base-uncased
tags: generated_from_trainer
datasets: wnut_17
metrics: precision, recall, f1, accuracy
model-index: name: my_ner_model
results: task: name: Token Classification
type: token-classification
dataset: name: wnut_17
type: wnut_17
config: wnut_17
split: test
args: wnut_17
metrics: name: Precision
type: precision
value: 0.45807770961145194
verified: no, name: Recall
type: recall
value: 0.20759962928637626
verified: no, name: F1
type: f1
value: 0.2857142857142857
verified: no, name: Accuracy
type: accuracy
value: 0.9365995468342525
verified: no
Likes: 0 | All-time downloads: 387
Created: 2023-11-01 11:04:37