uner-muril-ner

mirfan899/uner-muril-ner

uner-muril-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: bert
Access: Public
Created: Oct 3, 2023
Updated: Mar 11, 2025
SHA: 7bb88aba

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Base models

Model card

From the Hugging Face model README

uner-muril-ner

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

Loss: 0.1356
Precision: 0.8055
Recall: 0.8642
F1: 0.8338
Accuracy: 0.9637

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	0.1590	0.7660	0.7930	0.7793	0.9516
No log	2.0	288	0.1321	0.7907	0.8625	0.8250	0.9593
No log	3.0	432	0.1258	0.8002	0.8584	0.8283	0.9618
0.1493	4.0	576	0.1346	0.8009	0.8658	0.8321	0.9616
0.1493	5.0	720	0.1356	0.8055	0.8642	0.8338	0.9637

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 3, 2023
Updated: Mar 11, 2025