bert-base-cased-ner

lltala/bert-base-cased-ner

bert-base-cased-ner is a token classification model from lltala. 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 24, 2023
Updated: Oct 24, 2023
SHA: 2e07838f

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Base models

Model card

From the Hugging Face model README

bert-base-cased-ner

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

Loss: 0.0894
Overall Precision: 0.5187
Overall Recall: 0.5814
Overall F1: 0.5483
Org Precision: 0.5127
Org Recall: 0.5277
Org F1: 0.5201
Per Precision: 0.7294
Per Recall: 0.8052
Per F1: 0.7654
Loc Precision: 0.4329
Loc Recall: 0.7474
Loc F1: 0.5483

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Overall Precision	Overall Recall	Overall F1	Org Precision	Org Recall	Org F1	Per Precision	Per Recall	Per F1	Loc Precision	Loc Recall	Loc F1
No log	1.0	53	0.1227	0.3066	0.3206	0.3134	0.3084	0.4104	0.3522	0.0	0.0	0.0	0.0	0.0	0.0
No log	2.0	106	0.1055	0.3967	0.4224	0.4091	0.3829	0.3860	0.3844	0.6964	0.5065	0.5865	0.3457	0.5895	0.4358
No log	3.0	159	0.0897	0.4867	0.5598	0.5207	0.4883	0.5098	0.4988	0.7011	0.7922	0.7439	0.375	0.6947	0.4871
No log	4.0	212	0.0901	0.5179	0.5712	0.5433	0.5227	0.5261	0.5244	0.6988	0.7532	0.7250	0.4096	0.7158	0.5211
No log	5.0	265	0.0894	0.5187	0.5814	0.5483	0.5127	0.5277	0.5201	0.7294	0.8052	0.7654	0.4329	0.7474	0.5483

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 24, 2023
Updated: Oct 24, 2023