bert-finetuned-ner

AmenAllah/bert-finetuned-ner

bert-finetuned-ner is a token classification model from AmenAllah. 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 24, 2022
Updated: Jan 7, 2023
SHA: ada4a7b5

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Datasets

data_set

Model card

From the Hugging Face model README

bert-finetuned-ner

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

Loss: 0.3395
Precision: 0.2081
Recall: 0.1950
F1: 0.2013
Accuracy: 0.9194

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	100	0.3796	0.125	0.0755	0.0941	0.9152
No log	2.0	200	0.3512	0.2131	0.1635	0.1851	0.9208
No log	3.0	300	0.3395	0.2081	0.1950	0.2013	0.9194

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 24, 2022
Updated: Jan 7, 2023