bert-large-ner-wnut-17

StatsGary/bert-large-ner-wnut-17

bert-large-ner-wnut-17 is a token classification model from StatsGary. 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: Jan 25, 2023
Updated: Jan 25, 2023
SHA: dc9f0aec

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Datasets

wnut_17

Model card

From the Hugging Face model README

bert-large-ner-wnut-17

This model is a fine-tuned version of bert-large-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:

Loss: 0.2851
Precision: 0.6240
Recall: 0.4245
F1: 0.5052
Accuracy: 0.9504

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: 5e-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: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	213	0.2551	0.6727	0.3105	0.4249	0.9446
No log	2.0	426	0.2521	0.6491	0.4235	0.5126	0.9510
0.1128	3.0	639	0.2851	0.6240	0.4245	0.5052	0.9504

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jan 25, 2023
Updated: Jan 25, 2023