bert-base-cased_conll2003-sm-first-ner

jordyvl/bert-base-cased_conll2003-sm-first-ner

bert-base-cased_conll2003-sm-first-ner is a token classification model from jordyvl. 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: Jul 13, 2022
Updated: Jul 18, 2022
SHA: cfd4b622

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Datasets

conll2003

Model card

From the Hugging Face model README

bert-base-cased_conll2003-sm-first-ner

This model is a fine-tuned version of bert-base-cased on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.0783
Precision: 0.9444
Recall: 0.9471
F1: 0.9457
Accuracy: 0.9861

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0912	1.0	7021	0.0962	0.9191	0.9106	0.9148	0.9789
0.0302	2.0	14042	0.0748	0.9406	0.9413	0.9409	0.9847
0.0221	3.0	21063	0.0783	0.9444	0.9471	0.9457	0.9861

Framework versions

Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.2.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 13, 2022
Updated: Jul 18, 2022