bert-base-multilingual-cased-finetuned-ner

DioBot2000/bert-base-multilingual-cased-finetuned-ner

bert-base-multilingual-cased-finetuned-ner is a token classification model from DioBot2000. 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: May 16, 2024
Updated: May 16, 2024
SHA: 52b24567

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Base models

Model card

From the Hugging Face model README

bert-base-multilingual-cased-finetuned-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: 0.2939
Accuracy: 0.4501
Precision: 0.5440
Recall: 0.6659
F1: 0.4954

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	50	0.5390	0.3903	0.5183	0.4448	0.3118
No log	2.0	100	0.4150	0.4152	0.5575	0.5062	0.3632
No log	3.0	150	0.3530	0.4289	0.5842	0.5557	0.3945
No log	4.0	200	0.3272	0.4348	0.5319	0.5761	0.4145
No log	5.0	250	0.3047	0.4401	0.5175	0.6018	0.4284
No log	6.0	300	0.2964	0.4422	0.5224	0.6224	0.4600
No log	7.0	350	0.2927	0.4445	0.5391	0.6302	0.4691
No log	8.0	400	0.2896	0.4457	0.5295	0.6335	0.4668
No log	9.0	450	0.2810	0.4482	0.5360	0.6535	0.4846
0.324	10.0	500	0.2852	0.4486	0.5383	0.6554	0.4847
0.324	11.0	550	0.2949	0.4482	0.5372	0.6560	0.4858
0.324	12.0	600	0.2938	0.4494	0.5437	0.6603	0.4917
0.324	13.0	650	0.2906	0.4503	0.5437	0.6664	0.4952
0.324	14.0	700	0.2963	0.4499	0.5466	0.6641	0.4957
0.324	15.0	750	0.2939	0.4501	0.5440	0.6659	0.4954

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 16, 2024
Updated: May 16, 2024