bert-finetuned-ner

rdchambers/bert-finetuned-ner

bert-finetuned-ner is a token classification model from rdchambers. 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: Apr 23, 2022
Updated: May 5, 2022
SHA: 4b81e5bb

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Model card

From the Hugging Face model README

bert-finetuned-ner

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0176
Precision: 0.8418
Recall: 0.8095
F1: 0.8253
Accuracy: 0.9937

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: 8
eval_batch_size: 8
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	48	0.0268	0.7280	0.7829	0.7544	0.9908
No log	2.0	96	0.0194	0.8295	0.8050	0.8171	0.9934
No log	3.0	144	0.0176	0.8418	0.8095	0.8253	0.9937

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 23, 2022
Updated: May 5, 2022