bert-finetuned-ner-cfv

franklynnarvaez/bert-finetuned-ner-cfv

bert-finetuned-ner-cfv is a token classification model from franklynnarvaez. 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: Jun 6, 2024
Updated: Jun 6, 2024
SHA: 3706b511

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Base models

Datasets

conll2002

Model card

From the Hugging Face model README

bert-finetuned-ner-cfv

This model is a fine-tuned version of bert-base-cased on the conll2002 dataset. It achieves the following results on the evaluation set:

Loss: 0.1851
Precision: 0.8077
Recall: 0.8212
F1: 0.8144
Accuracy: 0.9741

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: 4e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 17

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	347	0.1278	0.7284	0.7475	0.7378	0.9646
0.1176	2.0	694	0.1212	0.7509	0.7806	0.7654	0.9681
0.0453	3.0	1041	0.1156	0.8062	0.8116	0.8089	0.9730
0.0453	4.0	1388	0.1270	0.8081	0.8031	0.8056	0.9720
0.0233	5.0	1735	0.1298	0.8145	0.8231	0.8187	0.9746
0.0145	6.0	2082	0.1431	0.7950	0.8091	0.8020	0.9728
0.0145	7.0	2429	0.1501	0.8103	0.8166	0.8135	0.9734
0.009	8.0	2776	0.1553	0.8118	0.8157	0.8138	0.9738
0.0061	9.0	3123	0.1572	0.7891	0.8084	0.7986	0.9720
0.0061	10.0	3470	0.1589	0.8142	0.8196	0.8169	0.9739
0.005	11.0	3817	0.1671	0.8092	0.8148	0.8120	0.9733
0.0032	12.0	4164	0.1716	0.8066	0.8139	0.8102	0.9733
0.0031	13.0	4511	0.1767	0.8025	0.8169	0.8096	0.9731
0.0031	14.0	4858	0.1756	0.8096	0.8217	0.8156	0.9741
0.0023	15.0	5205	0.1845	0.8109	0.8157	0.8133	0.9739
0.0018	16.0	5552	0.1850	0.8090	0.8203	0.8146	0.9739
0.0018	17.0	5899	0.1851	0.8077	0.8212	0.8144	0.9741

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 6, 2024
Updated: Jun 6, 2024