bert-large-uncased_ner_wikiann

Gladiator/bert-large-uncased_ner_wikiann

bert-large-uncased_ner_wikiann is a token classification model from Gladiator. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 9, 2022
Updated: Dec 9, 2022
SHA: ec9fb153

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Datasets

wikiann

Model card

From the Hugging Face model README

bert-large-uncased_ner_wikiann

This model is a fine-tuned version of bert-large-uncased on the wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.3373
Precision: 0.8384
Recall: 0.8609
F1: 0.8495
Accuracy: 0.9379

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3146	1.0	1250	0.2545	0.7956	0.8372	0.8159	0.9285
0.1973	2.0	2500	0.2438	0.8267	0.8546	0.8404	0.9349
0.1181	3.0	3750	0.2637	0.8320	0.8588	0.8452	0.9374
0.0647	4.0	5000	0.3175	0.8389	0.8627	0.8507	0.9387
0.0443	5.0	6250	0.3373	0.8384	0.8609	0.8495	0.9379

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 9, 2022
Updated: Dec 9, 2022