bert-cased-ner-fcit499

Ahmed87/bert-cased-ner-fcit499

bert-cased-ner-fcit499 is a token classification model from Ahmed87. 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: Nov 9, 2022
Updated: Nov 9, 2022
SHA: e45a85b1

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Datasets

conll2003

Model card

From the Hugging Face model README

bert-cased-ner-fcit499

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: 0.0404
Precision: 0.9417
Recall: 0.9502
F1: 0.9460
Accuracy: 0.9905

Model description

More information neededx

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	157	0.0578	0.8782	0.8976	0.8878	0.9825
No log	2.0	314	0.0425	0.9317	0.9343	0.9330	0.9885
No log	3.0	471	0.0391	0.9381	0.9433	0.9407	0.9897
0.1097	4.0	628	0.0397	0.9377	0.9467	0.9422	0.9900
0.1097	5.0	785	0.0404	0.9417	0.9502	0.9460	0.9905

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2

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