uner-distilbert-ner

mirfan899/uner-distilbert-ner

uner-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. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 21, 2023
Updated: Jan 31, 2025
SHA: 795e1ffb

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Base models

Model card

From the Hugging Face model README

uner-distilbert-ner

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

Loss: 0.1575
Precision: 0.7908
Recall: 0.8167
F1: 0.8035
Accuracy: 0.9533

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	144	0.2222	0.6615	0.6686	0.6650	0.9266
No log	2.0	288	0.1752	0.7359	0.7684	0.7518	0.9442
No log	3.0	432	0.1541	0.7709	0.7987	0.7846	0.9507
0.2098	4.0	576	0.1601	0.7755	0.8224	0.7983	0.9537
0.2098	5.0	720	0.1575	0.7908	0.8167	0.8035	0.9533

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.14.5
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 21, 2023
Updated: Jan 31, 2025