punjabi-distilbert-ner

mirfan899/punjabi-distilbert-ner

punjabi-distilbert-ner is a token classification model from mirfan899. 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. --

Downloads · 30 days

7% of all-time downloads

All-time downloads

430

Public

Parameters

135M

1.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin539 MB · 50%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 12, 2023
Updated: Feb 12, 2025
SHA: ca664ef3

Try a prompt

Base models

Model card

From the Hugging Face model README

punjabi-distilbert-ner

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

Loss: 0.0787
Precision: 0.7618
Recall: 0.7452
F1: 0.7534
Accuracy: 0.9777

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: 16
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
0.0743	1.0	807	0.0794	0.6756	0.7653	0.7176	0.9731
0.0463	2.0	1614	0.0752	0.7545	0.7437	0.7491	0.9772
0.0371	3.0	2421	0.0787	0.7618	0.7452	0.7534	0.9777

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 12, 2023
Updated: Feb 12, 2025