db-finetuned-NER

Yash907/db-finetuned-NER

db-finetuned-NER is a token classification model from Yash907. 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: distilbert
Access: Public
Created: Apr 25, 2024
Updated: Apr 25, 2024
SHA: 3350f987

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Base models

Model card

From the Hugging Face model README

db-finetuned-ner

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

Loss: 0.0859
Precision: 0.9211
Recall: 0.9424
F1: 0.9211
Accuracy: 0.9843

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
0.0206	1.0	1756	0.0871	0.8927	0.9369	0.8927	0.9799
0.0128	2.0	3512	0.0883	0.9224	0.9360	0.9224	0.9833
0.0099	3.0	5268	0.0859	0.9211	0.9424	0.9211	0.9843

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Apr 25, 2024
Updated: Apr 25, 2024